- ccdR::bioactivity_api_serverBioactivity API Server url
- ccdR::chemical_api_serverChemical API Server url
- ccdR::exposure_api_serverExposure API Server url
- ccdR::hazard_api_serverHazard API Server url
- ctxR::bioactivity_api_serverBioactivity API Server url
- ctxR::chemical_api_serverChemical API Server url
- ctxR::exposure_api_serverExposure API Server url
- ctxR::hazard_api_serverHazard API Server url
- elevatr::lakeSpatialPolygonsDataFrame of Lake Sunapee
- elevatr::pt_dfSmall data frame of xy locations
- elevatr::sf_bigA sf POINT dataset of random points
- elevatr::lakeSpatialPolygonsDataFrame of Lake Sunapee
- elevatr::pt_dfSmall data frame of xy locations
- elevatr::sf_bigA sf POINT dataset of random points
- httk::EPA.refReference for EPA Physico-Chemical Data
- httk::Frank2018invivoLiterature In Vivo Data on Doses Causing Neurological Effects
- httk::Obach2008Published Pharmacokinetic Parameters from Obach et al. 2008
- httk::Tables.Rdata.stampA timestamp of table creation
- httk::Wetmore2012Published toxicokinetic predictions based on in vitro data from Wetmore et al. 2012.
- httk::armitage_inputArmitage et al. (2014) Model Inputs from Honda et al. (2019)
- httk::aylward2014Aylward et al. 2014
- httk::bmiageCDC BMI-for-age charts
- httk::chem.invivo.PK.aggregate.dataParameter Estimates from Wambaugh et al. (2018)
- httk::chem.invivo.PK.dataPublished toxicokinetic time course measurements
- httk::chem.invivo.PK.summary.dataSummary of published toxicokinetic time course experiments
- httk::chem.physical_and_invitro.dataPhysico-chemical properties and in vitro measurements for toxicokinetics
- httk::concentration_data_Linakis2020Concentration data involved in Linakis 2020 vignette analysis.
- httk::dawson2021Dawson et al. 2021 data
- httk::example.seemSEEM Example Data We can grab SEEM daily intake rate predictions already in RData format from https://github.com/HumanExposure/SEEM3RPackage/tree/main/SEEM3/data Download the file Ring2018Preds.RData
- httk::example.toxcastToxCast Example Data The main page for the ToxCast data is here: https://www.epa.gov/comptox-tools/exploring-toxcast-data Most useful to us is a single file containing all the hits across all chemcials and assays: https://clowder.edap-cluster.com/datasets/6364026ee4b04f6bb1409eda?space=62bb560ee4b07abf29f88fef
- httk::fetalpcsFetal Partition Coefficients
- httk::hct_hKDE bandwidths for residual variability in hematocrit
- httk::honda2023.dataMeasured Caco-2 Apical-Basal Permeability Data
- httk::honda2023.qsprPredicted Caco-2 Apical-Basal Permeabilities
- httk::howgateHowgate 2006
- httk::httk.performanceHistorical Performance of R Package httk
- httk::hw_HKDE bandwidth for residual variability in height/weight
- httk::johnsonJohnson 2006
- httk::kapraun2019Kapraun et al. 2019 data
- httk::mcnally_dtReference tissue masses and flows from tables in McNally et al. 2014.
- httk::mecdtPre-processed NHANES data.
- httk::metabolism_data_Linakis2020Metabolism data involved in Linakis 2020 vignette analysis.
- httk::onlypNHANES Exposure Data
- httk::pc.dataPartition Coefficient Data
- httk::pearce2017regressionPearce et al. 2017 data
- httk::pharmaDRUGS|NORMAN: Pharmaceutical List with EU, Swiss, US Consumption Data
- httk::physiology.dataSpecies-specific physiology parameters
- httk::pksim.pcsPartition Coefficients from PK-Sim
- httk::pradeep2020Pradeep et al. 2020
- httk::pregnonpregaucsAUCs for Pregnant and Non-Pregnant Women
- httk::scr_hKDE bandwidths for residual variability in serum creatinine
- httk::sipes2017Sipes et al. 2017 data
- httk::supptab1_Linakis2020Supplementary output from Linakis 2020 vignette analysis.
- httk::supptab2_Linakis2020More supplementary output from Linakis 2020 vignette analysis.
- httk::tissue.dataTissue composition and species-specific physiology parameters
- httk::wambaugh2019in vitro Toxicokinetic Data from Wambaugh et al. (2019)
- httk::wambaugh2019.nhanesNHANES Chemical Intake Rates for chemicals in Wambaugh et al. (2019)
- httk::wambaugh2019.rawRaw Bayesian in vitro Toxicokinetic Data Analysis from Wambaugh et al. (2019)
- httk::wambaugh2019.seem3ExpoCast SEEM3 Consensus Exposure Model Predictions for Chemical Intake Rates
- httk::wambaugh2019.tox21Tox21 2015 Active Hit Calls (EPA)
- httk::wang2018Wang 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.
- httk::well_paramMicrotiter Plate Well Descriptions for Armitage et al. (2014) Model
- httk::wflWHO weight-for-length charts
- micromap::OrEcoLevel3Example Dataset: Oregon Level 3 Ecoregion Shapefile
- micromap::USstatesExample Dataset: U.S. States Polygons
- micromap::WSA3Example Dataset: Major U.S. EcoRegions
- micromap::edPovExample Dataset: Education and Poverty Levels
- micromap::lungMortExample Dataset: Lung Cancer Mortality
- micromap::statesFlatfileExample Dataset: A Table of State Polygons
- micromap::vegCovExample Dataset: Vegetation Coverage Percentages
- pTITAN2::CD_06_Mall_wIDExample Data Sets
- pTITAN2::CN_06_Mall_wIDExample Data Sets
- pTITAN2::C_IC_D_06_wIDExample Data Sets
- pTITAN2::C_IC_N_06_wIDExample Data Sets
- pTITAN2::permutation_examplePermutation Example Result
- spmodel::caribouA caribou forage experiment
- spmodel::lakeNational Lakes Assessment Data
- spmodel::lake_predsLakes Prediction Data
- spmodel::mooseMoose counts and presence in Alaska, USA
- spmodel::moose_predsLocations at which to predict moose counts and presence in Alaska, USA
- spmodel::mossHeavy metals in mosses near a mining road in Alaska, USA
- spmodel::sealEstimated harbor-seal trends from abundance data in southeast Alaska, USA
- spmodel::sulfateSulfate atmospheric deposition in the conterminous USA
- spmodel::sulfate_predsLocations at which to predict sulfate atmospheric deposition in the conterminous USA
- spmodel::texasTexas Turnout Data
- spsurvey::Illinois_RiverIllinois River data
- spsurvey::Illinois_River_LegacyIllinois River legacy data
- spsurvey::Lake_OntarioLake Ontario data
- spsurvey::NE_LakesNew England Lakes data
- spsurvey::NE_Lakes_LegacyNew England Lakes legacy data
- spsurvey::NE_Lakes_dfNew England Lakes data (as a data frame)
- spsurvey::NLA_PNWNLA PNW data
- spsurvey::NRSA_EPA7NRSA EPA7 data
- SSN2::mf04pImported SSN object from the MiddleFork04.ssn data folder
- tcpl::invitrodb_ddShort descriptions of fields for different tables are stored in a data dictionary.
- tcpl::load_data_columnsLists of column names returned from tcplLoadData invitrodb v4.1 (same as CCTE Bioactivity API version).
- tcpl::mc_testList of lists containing queries sent to tcplQuery associated with each test case. Each list also contains the associated ids with each case. Only meant to be used with automated testing with mocking for mc data.
- tcpl::mc_vignetteList with multi-concentration data for the vignette
- tcpl::mcdatA subset of ToxCast data showing changes in the activity of the intracellular estrogen receptor.
- tcpl::sc_testList of lists containing queries sent to tcplQuery associated with each test case. Each list also contains the associated ids with each case. Only meant to be used with automated testing with mocking for sc data.
- tcpl::sc_vignetteList with single-concentration data for the vignette
- tcpl::scdatA subset of ToxCast data showing changes in transcription factor activity for multiple targets.
- tcpl::test_apiList containing ids used for different automated tests of tcpl integration with the CTX APIs, randomly selected from what is available via API.
