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A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species
L o a d i n g
Organization
United State Environmental Protection Agency - view all
Update frequencyunknown
Last updated6 days ago
Format
Overview

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" Includes a link to R-markdown file allowing the application of the model to novel chemicals. This dataset is associated with the following publication: Dawson, 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).

Half-LifePFASmachine learning modeltoxicokinetics
Additional Information
KeyValue
Dcat Modified2023-01-18
Dcat Publisher NameU.S. EPA Office of Research and Development (ORD)
Guidhttps://doi.org/10.23719/1528512
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Trust Signals
Trust Framework(s)None
Assuranceunknown
Data Sensitivity Classunknown
Licenceunknown
Files
  • https://github.com/USEPA/CompTox-PFASHalfLife

  • S1_Dawson et al._ML PFAS_HL_101322.pdf

  • S3_Dawsonetal_PFAS_HL_101122.csv

  • S2_Dawson et al._ML PFAS_HL_101322.csv