The data set includes source code that implements a PBPK template model applicable to PFAS. It includes data digitized from Kim et al. (2018), Kim et al. (2019), and Loccisano et al. (2012) used to show the capability of the template to replicate published PFAS PBPK models. The template model is described in a paper that is in review at the journal Toxicological Sciences.

The data set includes source code for a "PBPK model template" that can be used to implement physiologically based pharmacokinetic (PBPK) models with various different structural designs and features. The data set also includes source code scripts that can be used to conduct timing experiments described in an associated manuscript by Bernstein et al. The manuscript will be submitted to a peer-reviewed scientific journal.

The data set includes source code that implements a PBPK model template that has been extended with features capable of implementing models for volatile organic compounds (VOCs). It also includes data from the U.S. EPA IRIS assessments for DCM (2011) and methanol (2013) and data from Sasso et al. (2013), Ramsey and Andersen (1984), and Yoon et al. (2007) used to show the ability of the template to replicate published VOC PBPK models. The extension of the model template is described in a paper that will be submitted to the journal Toxicological Sciences.

Source Code for the manuscript "Characterizing Variability and Uncertainty for Parameter Subset Selection in PBPK Models" -- This R code generates the results presented in this manuscript; the zip folder contains PBPK model files (for chloroform and DCM) and corresponding scripts to compile the models, generate human equivalent doses, and run sensitivity analysis.

The dataset includes source code that was used to perform analyses described in the manuscript "Evaluating Impact of Anatomical and Physiological Variability on Human Equivalent Doses Using PBPK Models" by Schacht et al.

We used systematic evidence map methods to summarize the available epidemiological and animal bioassay evidence for an expanded set of ~15,000 PFAS that were identified as PFAS by EPA's Center for Computational Toxicology and Exposure (CCTE). This work is a continuation of our previous 2022 and 2024 SEMs that inventoried evidence on a separate set of ~500 PFAS (Carlson et al, 2022, https://doi.org/10.1289/EHP10343; Radke et al, 2022, https://doi.org/10.1289/EHP11185; Carlson et al., 2024; https://doi.org/10.1289/EHP14191) and a 2023 evidence map on an additional 345 PFAS (Shirke et al. 2024, https://doi.org/10.1289/EHP13423 ). The comprehensive PFAS dashboard includes evidence identified from our past SEMs and completed US EPA assessments. This dataset is associated with the following publication: Shirke, A., E. Radke, R. Jones, B. Allen, C. Lin, A. Ross, N. Vetter, C. Lemeris, p. hartman, S. Eftim, A. Varghese, R. Blain, H. Hubbard, A. Williams, K. Thayer, and L. Carlson. Systematic Evidence Map for the Per- and Polyfluoroalkyl Substances (PFAS) Universe. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 0(0): 1-45, (2025).

Contains values from pbpk models for each study on n-butanol effects. This dataset is associated with the following publication: Segal, D., A. Bale, L. Phillips, A. Sasso, P. Schlosser, C. Starkey, and S. Makris. Issues in Assessing the Health Risks of n-Butanol. JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 40(1): 72-86, (2020).