Purpose Driven Reconciliation Approaches Estimate Chemical Releases DataSet
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PurposeDrivenReconciliationApproachesEstimateChemicalReleases DataSet.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Raymond Smith", "hasEmail": "mailto:smith.raymond@epa.gov" } |
| description | Curated input data for regression tree modeling, links for EPA sources of data, and glossary of terms used in the data are presented in a spreadsheet. The data set has production volumes, emissions, and physicochemical properties for chemicals. This dataset is associated with the following publication: Meyer, D., V. Mittal, W. Ingwersen, G. Ruiz-Mercado, W. Barrett, M. Gonzalez, J. Abraham, and R. Smith. Purpose-Driven Reconciliation of Approaches to Estimate Chemical Releases. ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 7(1): 1260-1270, (2019). |
| distribution |
[ { "title": "PurposeDrivenReconciliationApproachesEstimateChemicalReleases DataSet.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503037/PurposeDrivenReconciliationApproachesEstimateChemicalReleases%20DataSet.xlsx" } ] |
| identifier | https://doi.org/10.23719/1503037 |
| keyword |
[ "Chemical Manufacture", "LCI", "Process Design", "Simulation", "US EPA Database", "data mining" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2018-09-18 |
| 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/10.1021/acssuschemeng.8b04923" ] |
| rights |
null
|
| title | Purpose Driven Reconciliation Approaches Estimate Chemical Releases DataSet |