Datasets for manuscript "Data engineering for tracking chemicals and releases at industrial end-of-life activities"
The GitHub repository contains a Python code (MC_Case_Study.py) to support and replicate the case study results shown in the manuscript entitled Data engineering for tracking chemicals and releases at industrial end-of-life activities. Also, it indicates the free-available Python libraries that are required for running the code "MC_Case_Study.py." The dataset "EoL_database_for_MC.csv" contains all data to execute the Python code and obtain "Figure 6: 6-level Sankey diagram for the case study", "Figure 7: Box plot for the case study", and "Figure 8: Histogram for the case study." A Table describing the data name entry and data type for the dataset "EoL_database_for_MC.csv" is shown. Also, this dataset information and Python code are provided in the manuscript Supporting Info file (see supporting documents).
This dataset is associated with the following publication:
Hernandez-Betancur, J.D., G.J. Ruiz-Mercado, J.P. Abraham, M. Martin, W.W. Ingwersen, and R.L. Smith. Data engineering for tracking chemicals and releases at industrial end-of-life activities. JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 405: 124270, (2021).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Gerardo Ruiz-Mercado",
"hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
}
|
| description | The GitHub repository contains a Python code (MC_Case_Study.py) to support and replicate the case study results shown in the manuscript entitled Data engineering for tracking chemicals and releases at industrial end-of-life activities. Also, it indicates the free-available Python libraries that are required for running the code "MC_Case_Study.py." The dataset "EoL_database_for_MC.csv" contains all data to execute the Python code and obtain "Figure 6: 6-level Sankey diagram for the case study", "Figure 7: Box plot for the case study", and "Figure 8: Histogram for the case study." A Table describing the data name entry and data type for the dataset "EoL_database_for_MC.csv" is shown. Also, this dataset information and Python code are provided in the manuscript Supporting Info file (see supporting documents). This dataset is associated with the following publication: Hernandez-Betancur, J.D., G.J. Ruiz-Mercado, J.P. Abraham, M. Martin, W.W. Ingwersen, and R.L. Smith. Data engineering for tracking chemicals and releases at industrial end-of-life activities. JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 405: 124270, (2021). |
| distribution |
[
{
"title": "https://github.com/gruizmer/MC_Case_Study",
"accessURL": "https://github.com/gruizmer/MC_Case_Study"
}
]
|
| identifier | https://doi.org/10.23719/1518810 |
| keyword |
[
"Chemical Safety for Sustainability",
"Chemical releases",
"End-of-life stage",
"Life Cycle Environmental Assessment",
"chemical flow tracking",
"chemical manufacturing",
"chemical risk evaluation",
"data engineering",
"industrial end-of-life activities",
"life cycle inventory"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2020-06-11 |
| 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/10.1016/j.jhazmat.2020.124270",
"https://pasteur.epa.gov/uploads/10.23719/1518810/documents/Updated_SI_chemicals_EoL_06-09-20_after_363review_-_QAClean.docx"
]
|
| rights |
null
|
| title | Datasets for manuscript "Data engineering for tracking chemicals and releases at industrial end-of-life activities" |
