Dimitrijevic.IVD        Dimitrijevic et al. (2022)In Vitro Cellular and
                        Nominal Concentration
Frank2018invivo         Literature In Vivo Data on Doses Causing
                        Neurological Effects
Obach2008               Published Pharmacokinetic Parameters from Obach
                        et al. 2008
Scherer2025.IVD         Literature Measurements of In Vitro Cellular
                        and Nominal Concentration
Wetmore2012             Published toxicokinetic predictions based on in
                        vitro data from Wetmore et al. 2012.
abraham2024             Abraham et al. 2024 Abraham et al. (2024)
                        (doi:10.1016/j.envint.2024.109047
                        <https://doi.org/10.1016/j.envint.2024.109047>)
                        determined the half-lives of 15 per- and
                        polyfluoroalkyl substances in a single male
                        volunteer.
armitage_input          Parameters for in vitro distribution analysis
                        in Honda et al. (2019) Honda et al. (2019)
                        (doi:10.1371/journal.pone.0217564
                        <https://doi.org/10.1371/journal.pone.0217564>)
                        used the Armitage et al. (2014)
                        (doi:10.1021/es501955g
                        <https://doi.org/10.1021/es501955g>)
                        mass-balance model to predict the impact of in
                        vitro partitioning on free chemical
                        concentrations.
aylward2014             Aylward et al. 2014
concentration_data_Linakis2020
                        Concentration data involved in Linakis 2020
                        vignette analysis.
dermal.nonvolatilechems
                        Non-volatile chemicals with ToxCast data Meade
                        et al. (submitted) performed in vitro-in vivo
                        extrapolation for dermal exposures assuming 8
                        hours of exposure via hands submerged in a
                        liquid with 1 ppm of chemical. These were the
                        chemicals analyzed.
dermal.toxcast          Chemicals with ToxCast data for Meade et al.
                        (submitted) chemicals Meade et al. (submitted)
                        performed in vitro-in vivo extrapolation for
                        dermal exposures assuming 8 hours of exposure
                        via hands submerged in a liquid with 1 ppm of
                        chemical. These are the ToxCast in vitro
                        screening data for those chemicals.
dermalCvT2025           Toxicokinetic concentration vs. time (CvT) data
                        for Meade et al. (submitted) chemicals Meade et
                        al. (submitted) evaluated a generic PBTK model
                        for dermal exposure using in vivo CvT data
                        curated from the literature. These data will
                        eventually be incorporated in the the CvTdb
                        (Sayre et al., 2020,
                        doi:10.1038/s41597-020-0455-1
                        <https://doi.org/10.1038/s41597-020-0455-1>).
fetalpcs                Fetal Partition Coefficients
howgate                 Howgate et al. (2006)
huh2011                 Huh et al. 2011 Huh et al. (2011)
                        (doi:10.3109/00498254.2011.598582
                        <https://doi.org/10.3109/00498254.2011.598582>)
                        provided interspecies allometric scaling
                        parameters for whole body clearance for a a
                        variety of pharmaceuticals.
johnson                 Johnson et al. (2006)
meade2025               Simulation outputs from Meade et al.
                        (submitted) Meade et al. (submitted) performed
                        generic PBTK simulations for dermal exposure
                        under a variety of assumptions. Although the
                        code to recreate these simulations is provided,
                        it is time-intensive. The 2025 outputs from the
                        simulations are stored in this list of
                        data.frames.
metabolism_data_Linakis2020
                        Metabolism data involved in Linakis et al. 2020
                        (doi:10.1038/s41370-020-0238-y
                        <https://doi.org/10.1038/s41370-020-0238-y>)
                        vignette analysis.
onlyp                   NHANES Exposure Data
pc.data                 Partition Coefficient Data
pharma                  DRUGS|NORMAN: Pharmaceutical List with EU,
                        Swiss, US Consumption Data
pksim.pcs               Partition Coefficients from PK-Sim
pregnonpregaucs         AUCs for Pregnant and Non-Pregnant Women
supptab1_Linakis2020    Supplementary output from Linakis 2020 vignette
                        analysis.
supptab2_Linakis2020    More supplementary output from Linakis 2020
                        vignette analysis.
thyroid.ac50s           ToxCast thyroid-related bioactivity data
truong25.seem3          SEEM3 Example Data for Truong et al. 2025
wallis2023              Wallis et al. 2023 Wallis et al. (2023)
                        (doi:10.1021/acs.est.2c08241
                        <https://doi.org/10.1021/acs.est.2c08241>)
                        estimated the human toxicokinetic half-lives
                        for a range of per- and poly-fluorinated alkyl
                        substances (PFAS).
wambaugh2019            in vitro Toxicokinetic Data from Wambaugh et
                        al. (2019)
wambaugh2019.nhanes     NHANES Chemical Intake Rates for chemicals in
                        Wambaugh et al. (2019)
wambaugh2019.raw        Raw Bayesian in vitro Toxicokinetic Data
                        Analysis from Wambaugh et al. (2019)
wambaugh2019.seem3      ExpoCast SEEM3 Consensus Exposure Model
                        Predictions for Chemical Intake Rates
wambaugh2019.tox21      Tox21 2015 Active Hit Calls (EPA)
wang2018                Wang et al. 2018 Wang et al. (2018) screened
                        the blood of 75 pregnant women for the presence
                        of environmental organic acids (EOAs) and
                        identified mass spectral features corresponding
                        to 453 chemical formulae of which 48 could be
                        mapped to likely structures. Of the 48 with
                        tentative structures the identity of six were
                        confirmed with available chemical standards.
