Read-across application for emissions estimation
The emission data used is based on this publication.
This dataset is associated with the following publication:
Takkellapati, S., and M.A. Gonzalez. Application of read-across methods as a framework for the estimation of emissions from chemical processes. Clean Technologies and Recycling. AIMS Press, Springfield, MO, USA, 3(4): 283-300, (2023).
Resources
1 resource available
-
Meyer_ImprovingReliabilityOfChemicalManufactLCI_2020.pdf
APPLICATION/PDF
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Sudhakar Takkellapati", "hasEmail": "mailto:takkellapati.sudhakar@epa.gov" } |
| description | The emission data used is based on this publication. This dataset is associated with the following publication: Takkellapati, S., and M.A. Gonzalez. Application of read-across methods as a framework for the estimation of emissions from chemical processes. Clean Technologies and Recycling. AIMS Press, Springfield, MO, USA, 3(4): 283-300, (2023). |
| distribution |
[ { "title": "Meyer_ImprovingReliabilityOfChemicalManufactLCI_2020.pdf", "mediaType": "application/pdf", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529986/Meyer_ImprovingReliabilityOfChemicalManufactLCI_2020.pdf" } ] |
| identifier | https://doi.org/10.23719/1529986 |
| keyword |
[ "Environmental Releases", "Read-across", "climate change", "emissions", "machine learning" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2024-01-11 |
| programCode |
[ "020:000" ] |
| 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/10.3934/ctr.2023018" ] |
| rights |
null
|
| title | Read-across application for emissions estimation |
