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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).
Complete Metadata
| 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 |
