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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).
Resources
5 resources available
-
https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=66b52127e4b0a7c65d2a096d
FILE -
https://doi.org/10.23645/epacomptox.26524327
FILE -
https://github.com/patlewig/nts_pfas
FILE -
1-s2.0-S246811132400029X-mmc1.docx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.WORDPROCESSINGML.DOCUMENT -
1-s2.0-S246811132400029X-mmc2.zip
APPLICATION/ZIP
Complete Metadata
| accessLevel | public |
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[
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| contactPoint |
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|
| description | 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). |
| distribution |
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| identifier | https://doi.org/10.23719/1531729 |
| keyword |
[
"NAM",
"PFAS",
"Read-across",
"categories"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2024-08-07 |
| programCode |
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"name": "U.S. EPA Office of Research and Development (ORD)",
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| references |
[
"https://doi.org/10.1016/j.comtox.2024.100327"
]
|
| rights |
null
|
| title | 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 |
