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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.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "John Wambaugh, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)",
"@type": "vcard:Contact",
"hasEmail": "mailto:wambaugh.john@epa.gov"
}
|
| dataQuality |
false
|
| description | 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. |
| identifier | 33778226-2C82-4EFE-A310-1225F2911A07 |
| issued | 2014-01-01 |
| keyword |
[
"chemical exposure",
"chemical health effects",
"chemical safety",
"chemical safety research",
"chemical screening",
"chemical testing",
"chemicals",
"computational toxicology",
"consumer product",
"consumer product database",
"environment",
"environment",
"environment",
"epa research",
"expocast",
"high-throughput exposure prediction",
"innovative chemical testing",
"tox21",
"toxcast",
"united states",
"wal-mart data"
]
|
| license | https://edg.epa.gov/EPA_Data_License.html |
| modified | 2014-01-01 |
| programCode |
[
"020:072"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)",
"@type": "org:Organization"
}
|
| references |
[
"https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B33778226-2C82-4EFE-A310-1225F2911A07%7D",
"https://edg.epa.gov/metadata/rest/document?id=%7B33778226-2C82-4EFE-A310-1225F2911A07%7D"
]
|
| spatial | -180.0,18.0,-66.0,72.0 |
| title | Exposure Forecaster |
