{"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. \n\nThis dataset is associated with the following publication:\nEgeghy , 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\u2013702, (2016).", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/248/ORD-010901_dataset.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "ORD-010901_dataset.xlsx"}], "identifier": "A-mgr5-248", "keyword": ["ExpoCast", "Exposure modeling", "Exposure Assessment", "Informatics", "SHEDS", "Computational exposure"], "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"}