CES_EHP_Figure_2
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1 resource available
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ORD-010901_dataset.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Peter Egeghy", "hasEmail": "mailto:egeghy.peter@epa.gov" } |
| description | The increasing number of chemicals for which SHEDS probabilistic exposure assessment has been performed over the years. This dataset is associated with the following publication: Egeghy , P., L. Sheldon, K. Isaacs , H. Ozkaynak, M. Goldsmith, J. Wambaugh , R. Judson , and T. Buckley. Computational Exposure Science: An Emerging Discipline to Support 21st-Century Risk Assessment. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 124(6): 697–702, (2016). |
| distribution |
[ { "title": "ORD-010901_dataset.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "downloadURL": "https://pasteur.epa.gov/uploads/248/ORD-010901_dataset.xlsx" } ] |
| identifier | A-mgr5-248 |
| keyword |
[ "Computational exposure", "ExpoCast", "Exposure Assessment", "Exposure modeling", "Informatics", "SHEDS" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2015-10-28 |
| programCode |
[ "020:095" ] |
| publisher |
{ "name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": { "name": "U.S. Environmental Protection Agency", "subOrganizationOf": { "name": "U.S. Government" } } } |
| references |
[ "https://doi.org/10.1289/ehp.1509748" ] |
| rights |
null
|
| title | CES_EHP_Figure_2 |