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

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).