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).
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| 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" |