Data processing was conducted using the Anaconda distribution of Python 3.9 and associated libraries. Jupyter notebooks are available at https://github.com/patlewig/nts_pfas. Datasets supporting the manuscript are accessible at https://doi.org/10.23645/epacomptox.26524327. This dataset is associated with the following publication: Patlewicz, G., R. Judson, A. Williams, T. Butler, S. Barone, K. Carstens, J. Cowden, J. Dawson, S. Degitz, K. Fay, A. Lowit, S. Padilla, K. Friedman, M. Phillips, D. Turk, J. Wambaugh, B. Wetmore, and R. Thomas. Development of chemical categories for per- and polyfluoroalkyl substances (PFAS) and the proof-of-concept approach to the identification of potential candidates for tiered toxicological testing and human health assessment. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 31: 100327, (2024).
Development of chemical categories for per- and polyfluoroalkyl substances (PFAS) and the proof-of-concept approach to the identification of potential candidates for tiered toxicological testing and human health assessment
L o a d i n g
Organization
United State Environmental Protection Agency - view all
Update frequencyunknown
Last updated3 weeks ago
Format
OverviewNAMPFASRead-acrosscategories
Additional Information
KeyValue
Dcat Modified2024-08-07
Dcat Publisher NameU.S. EPA Office of Research and Development (ORD)
Guidhttps://doi.org/10.23719/1531729
Harvest Object Id5268b7c6-a627-402d-bc85-3e5c92552795
Harvest Source Idb8e63f83-bbb9-45d3-a3de-09607cc9ff8a
Harvest Source TitleUSEPA Environmental Dataset Gateway