No datasets match
  1. 1.
    httkexamples::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.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|15 x 16
  2. 2.
    httkexamples::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.
    csv| xlsx| json| ndjson| rda| rds
    data.table|1194 x 7
  3. 3.
    httkexamples::aylward2014
    Aylward et al. 2014
    csv| xlsx| json| ndjson| rda| rds
    data.frame|491 x 26
  4. 4.
    httkexamples::concentration_data_Linakis2020
    Concentration data involved in Linakis 2020 vignette analysis.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|2142 x 16
  5. 5.
    httkexamples::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.
    json| rda| rds
    character
  6. 6.
    httkexamples::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.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|6506 x 18
  7. 7.
    httkexamples::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>).
    csv| xlsx| json| ndjson| rda| rds
    data.frame|1928 x 88
  8. 8.
    httkexamples::Dimitrijevic.IVD
    Dimitrijevic et al. (2022)In Vitro Cellular and Nominal Concentration
    csv| xlsx| json| ndjson| rda| rds
    data.table|12 x 18
  9. 9.
    httkexamples::fetalpcs
    Fetal Partition Coefficients
    csv| xlsx| json| ndjson| rda| rds
    data.frame|87 x 11
  10. 10.
    httkexamples::Frank2018invivo
    Literature In Vivo Data on Doses Causing Neurological Effects
    csv| xlsx| json| ndjson| rda| rds
    data.frame|14 x 16
  11. 11.
    httkexamples::howgate
    Howgate et al. (2006)
    csv| xlsx| json| ndjson| rda| rds
    data.table|24 x 11
  12. 12.
    httkexamples::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.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|83 x 13
  13. 13.
    httkexamples::johnson
    Johnson et al. (2006)
    csv| xlsx| json| ndjson| rda| rds
    data.table|60 x 11
  14. 14.
    httkexamples::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.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|14 x 8
  15. 15.
    httkexamples::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.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|83 x 34
  16. 16.
    httkexamples::Obach2008
    Published Pharmacokinetic Parameters from Obach et al. 2008
    csv| xlsx| json| ndjson| rda| rds
    data.frame|670 x 7
  17. 17.
    httkexamples::onlyp
    NHANES Exposure Data
    csv| xlsx| json| ndjson| rda| rds
    data.table|1060 x 5
  18. 18.
    httkexamples::pc.data
    Partition Coefficient Data
    csv| xlsx| json| ndjson| rda| rds
    data.frame|1221 x 8
  19. 19.
    httkexamples::pharma
    DRUGS|NORMAN: Pharmaceutical List with EU, Swiss, US Consumption Data
    csv| json| rda| rds
    matrix|14 x 0
  20. 20.
    httkexamples::pksim.pcs
    Partition Coefficients from PK-Sim
    csv| xlsx| json| ndjson| rda| rds
    data.frame|72 x 8
  21. 21.
    httkexamples::pregnonpregaucs
    AUCs for Pregnant and Non-Pregnant Women
    csv| xlsx| json| ndjson| rda| rds
    data.frame|12 x 34
  22. 22.
    httkexamples::Scherer2025.IVD
    Literature Measurements of In Vitro Cellular and Nominal Concentration
    csv| xlsx| json| ndjson| rda| rds
    data.table|153 x 28
  23. 23.
    httkexamples::supptab1_Linakis2020
    Supplementary output from Linakis 2020 vignette analysis.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|50 x 13
  24. 24.
    httkexamples::supptab2_Linakis2020
    More supplementary output from Linakis 2020 vignette analysis.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|42 x 12
  25. 25.
    httkexamples::thyroid.ac50s
    ToxCast thyroid-related bioactivity data
    csv| xlsx| json| ndjson| rda| rds
    data.table|120 x 7
  26. 26.
    httkexamples::truong25.seem3
    SEEM3 Example Data for Truong et al. 2025
    csv| xlsx| json| ndjson| rda| rds
    data.table|103 x 36
  27. 27.
    httkexamples::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).
    csv| xlsx| json| ndjson| rda| rds
    data.frame|17 x 9
  28. 28.
    httkexamples::wambaugh2019
    in vitro Toxicokinetic Data from Wambaugh et al. (2019)
    csv| xlsx| json| ndjson| rda| rds
    data.frame|496 x 17
  29. 29.
    httkexamples::wambaugh2019.nhanes
    NHANES Chemical Intake Rates for chemicals in Wambaugh et al. (2019)
    csv| xlsx| json| ndjson| rda| rds
    data.frame|20 x 4
  30. 30.
    httkexamples::wambaugh2019.raw
    Raw Bayesian in vitro Toxicokinetic Data Analysis from Wambaugh et al. (2019)
    csv| xlsx| json| ndjson| rda| rds
    data.frame|530 x 28
  31. 31.
    httkexamples::wambaugh2019.seem3
    ExpoCast SEEM3 Consensus Exposure Model Predictions for Chemical Intake Rates
    csv| xlsx| json| ndjson| rda| rds
    data.table|385 x 38
  32. 32.
    httkexamples::wambaugh2019.tox21
    Tox21 2015 Active Hit Calls (EPA)
    csv| xlsx| json| ndjson| rda| rds
    data.frame|401 x 6
  33. 33.
    httkexamples::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.
    csv| json| rda| rds
    matrix|20 x 0
  34. 34.
    httkexamples::Wetmore2012
    Published toxicokinetic predictions based on in vitro data from Wetmore et al. 2012.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|13 x 15