Exposure Forecaster

The Exposure Forecaster Database (ExpoCastDB) is EPA's database for aggregating chemical exposure information and can be used to help with chemical exposure predictions. The database currently includes biomonitoring exposure data from three studies: the American Healthy Homes Survey, the First National Environmental Health Survey of Child Care Centers and the Children's Total Exposure to Persistent Pesticides and Other Persistent Organic Pollutants study. Data include the amounts of chemicals found in food, drinking water, air, dust indoor surfaces and urine. The database will eventually include high-throughput exposure predictions for thousands of chemicals based on manufacture and use information. EPA researchers developed high-throughput exposure models to predict exposures for 1,763 chemicals using production volume, environmental fate and transport models, and a simple indicator of consumer product use.The model is being improved by adding more refined indoor and consumer use information since these are also large determinants of exposure. As these models are refined and more exposure data is collected, it will be added to ExpoCastDB.

Data and Resources

This dataset has no data

Field Value
accessLevel public
accrualPeriodicity irregular
bureauCode {020:00}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://edg.epa.gov/data/Public/ORD/metadata/ORD.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier 33778226-2C82-4EFE-A310-1225F2911A07
issued 2014-01-01
license https://edg.epa.gov/EPA_Data_License.html
modified 2014-01-01
programCode {020:072}
publisher U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)
references {https://edg.epa.gov/metadata/rest/document?id=%7B33778226-2C82-4EFE-A310-1225F2911A07%7D,https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B33778226-2C82-4EFE-A310-1225F2911A07%7D}
resource-type Dataset
source_datajson_identifier true
source_hash 59bdb88817d0d0dc5cdf059d808b8f90b2285235
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-180.0, 18.0], [-66.0, 18.0], [-66.0, 72.0], [-180.0, 72.0], [-180.0, 18.0]]]}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • chemical-exposure
  • chemical-health-effects
  • chemical-safety
  • chemical-safety-research
  • chemical-screening
  • chemical-testing
  • chemicals
  • computational-toxicology
  • consumer-product
  • consumer-product-database
  • environment
  • epa-research
  • expocast
  • high-throughput-exposure-prediction
  • innovative-chemical-testing
  • tox21
  • toxcast
  • united-states
  • wal-mart-data
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer John Wambaugh, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)
maintainer_email wambaugh.john@epa.gov
metadata_created 2025-09-24T23:07:21.107372
metadata_modified 2025-09-24T23:07:21.107382
notes The Exposure Forecaster Database (ExpoCastDB) is EPA's database for aggregating chemical exposure information and can be used to help with chemical exposure predictions. The database currently includes biomonitoring exposure data from three studies: the American Healthy Homes Survey, the First National Environmental Health Survey of Child Care Centers and the Children's Total Exposure to Persistent Pesticides and Other Persistent Organic Pollutants study. Data include the amounts of chemicals found in food, drinking water, air, dust indoor surfaces and urine. The database will eventually include high-throughput exposure predictions for thousands of chemicals based on manufacture and use information. EPA researchers developed high-throughput exposure models to predict exposures for 1,763 chemicals using production volume, environmental fate and transport models, and a simple indicator of consumer product use.The model is being improved by adding more refined indoor and consumer use information since these are also large determinants of exposure. As these models are refined and more exposure data is collected, it will be added to ExpoCastDB.
num_resources 0
num_tags 27
title Exposure Forecaster