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CES_EHP_Figure_2

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).

Data and Resources

Additional Info

Field Value
Maintainer Peter Egeghy
Last Updated March 5, 2021, 11:56 (EST)
Created March 5, 2021, 11:56 (EST)
Identifier A-mgr5-248
Modified 2015-10-28
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
encoding utf8
harvest_url http://catalog.data.gov/dataset/0bb3b562-5285-4e48-be9b-789c3577fd0a
license https://pasteur.epa.gov/license/sciencehub-license.html
programCode {020:095}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references {https://doi.org/10.1289/ehp.1509748}
resource-type Dataset
source_datajson_identifier true
source_hash 2efd8c5f3c45be8ae4ba3d4512f9eaf92b4be77d
source_schema_version 1.1