{
  "accessLevel": "public",
  "bureauCode": [
    "020:00"
  ],
  "contactPoint": {
    "fn": "John Wambaugh",
    "hasEmail": "mailto:wambaugh.john@epa.gov"
  },
  "description": "Data and code for \"Dawson, D.E.; Lau, C.; Pradeep, P.; Sayre, R.R.; Judson, R.S.; Tornero-Velez, R.; Wambaugh, J.F. A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species. Toxics 2023, 11, 98. https://doi.org/10.3390/toxics11020098\"\n\nIncludes a link to R-markdown file allowing the application of the model to novel chemicals. \n\nThis dataset is associated with the following publication:\nDawson, D., C. Lau, P. Pradeep, R. Sayre, R. Judson, R. Tornero-Velez, and J. Wambaugh. A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species.   Toxics. MDPI, Basel,  SWITZERLAND, 11(2): 98, (2023).",
  "distribution": [
    {
      "accessURL": "https://github.com/USEPA/CompTox-PFASHalfLife",
      "title": "https://github.com/USEPA/CompTox-PFASHalfLife"
    },
    {
      "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528512/S1_Dawson%20et%20al._ML%20PFAS_HL_101322.pdf",
      "mediaType": "application/pdf",
      "title": "S1_Dawson et al._ML PFAS_HL_101322.pdf"
    },
    {
      "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528512/S2_Dawson%20et%20al._ML%20PFAS_HL_101322.csv",
      "mediaType": "text/csv",
      "title": "S2_Dawson et al._ML PFAS_HL_101322.csv"
    },
    {
      "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528512/S3_Dawsonetal_PFAS_HL_101122.csv",
      "mediaType": "text/csv",
      "title": "S3_Dawsonetal_PFAS_HL_101122.csv"
    }
  ],
  "identifier": "https://doi.org/10.23719/1528512",
  "keyword": [
    "Half-Life",
    "PFAS",
    "machine learning model",
    "toxicokinetics"
  ],
  "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
  "modified": "2023-01-18",
  "programCode": [
    "020:000"
  ],
  "publisher": {
    "name": "U.S. EPA Office of Research and Development (ORD)",
    "subOrganizationOf": {
      "name": "U.S. Environmental Protection Agency",
      "subOrganizationOf": {
        "name": "U.S. Government"
      }
    }
  },
  "references": [
    "https://doi.org/10.3390/toxics11020098",
    "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962572"
  ],
  "rights": null,
  "title": "A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species"
}