Purpose Driven Reconciliation Approaches Estimate Chemical Releases DataSet
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1 resource available
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PurposeDrivenReconciliationApproachesEstimateChemicalReleases DataSet.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
Complete Metadata
| 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 |