{"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. \n\nThis dataset is associated with the following publication:\nMeyer, 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": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503037/PurposeDrivenReconciliationApproachesEstimateChemicalReleases%20DataSet.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "PurposeDrivenReconciliationApproachesEstimateChemicalReleases DataSet.xlsx"}], "identifier": "https://doi.org/10.23719/1503037", "keyword": ["LCI", "data mining", "Chemical Manufacture", "US EPA Database", "Process Design", "Simulation"], "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"}