{"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"}