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Datasets for manuscript "A data engineering approach for chemical flow analysis and circular economy"
As described in the README.md file, the GitHub repository EoL4Chem are Python scripts written to track chemical waste flows and identify recycling, energy recovery, treatment & disposal facilities (RETDFs) located across the United States of America, using publicly-available databases. EoL4Chem uses the U.S. Environmental Protection Agency (EPA)'s Chemical Data Reporting (CDR) to gather information about potential post-recycling scenarios for recycled chemicals (e.g., fuel or fuel agent). EoL4Chem integrates the PAU4Chem repository, which transforms data for performing chemical flow analysis for pollution abatement units (PAUs) or on-site end-of-life (EoL) operations (e.g., distillation). Also, EoL4Chem incorporates the physical properties (e.g., boiling point) from another repository that retrieves the properties using web scraping and automatization. These properties support chemical flow analysis performance.
Also, it describes the Python libraries required for running the code, how to use it, the obtained outputs files after running the Python script (all manuscript figures, e.g., file name Sankey_1.pdf is the Sankey diagram shown in Figure 4A), and the corresponding Disclaimer.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Gerardo Ruiz-Mercado",
"hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
}
|
| description | As described in the README.md file, the GitHub repository EoL4Chem are Python scripts written to track chemical waste flows and identify recycling, energy recovery, treatment & disposal facilities (RETDFs) located across the United States of America, using publicly-available databases. EoL4Chem uses the U.S. Environmental Protection Agency (EPA)'s Chemical Data Reporting (CDR) to gather information about potential post-recycling scenarios for recycled chemicals (e.g., fuel or fuel agent). EoL4Chem integrates the PAU4Chem repository, which transforms data for performing chemical flow analysis for pollution abatement units (PAUs) or on-site end-of-life (EoL) operations (e.g., distillation). Also, EoL4Chem incorporates the physical properties (e.g., boiling point) from another repository that retrieves the properties using web scraping and automatization. These properties support chemical flow analysis performance. Also, it describes the Python libraries required for running the code, how to use it, the obtained outputs files after running the Python script (all manuscript figures, e.g., file name Sankey_1.pdf is the Sankey diagram shown in Figure 4A), and the corresponding Disclaimer. |
| distribution |
[
{
"title": "https://github.com/gruizmer/EoL4Chem",
"accessURL": "https://github.com/gruizmer/EoL4Chem"
}
]
|
| identifier | https://doi.org/10.23719/1520621 |
| keyword |
[
"Chemical Safety for Sustainability",
"Chemical releases",
"Exposure pathways",
"Life Cycle Environmental Assessment",
"chemical flow tracking",
"chemical manufacturing",
"circular economy",
"end-of-life management",
"life cycle inventory"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2020-11-30 |
| 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 |
null
|
| rights |
null
|
| title | Datasets for manuscript "A data engineering approach for chemical flow analysis and circular economy" |
