ccl-results
Final deliverablesand report for NFP 73 CCL Data Transparency for Sustainability
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (6.8%) to scientific vocabulary
Repository
Final deliverablesand report for NFP 73 CCL Data Transparency for Sustainability
Basic Info
- Host: GitHub
- Owner: OASES-project
- Language: Jupyter Notebook
- Default Branch: main
- Size: 5.1 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 3
- Releases: 0
Metadata Files
README.md
NFP73 Co-Creation Lab "Data Transparency for Sustainability" Results Repository
This repository includes a report, a set of Jupyter notebooks, and detailed result datapackages for NFP73 Co-Creation Lab Data Transparency for Sustainability.
It has the following structure. The license for each output is given in the respective subdirectory:
report
The final scientific report with the hybrid database methodology, comparison with other NFP73 project outputs, basic validation of the hybrid database, and a selection of results
notebooks
The Jupyter Python notebooks used to build the database and calculate results.
data-gwp
Global warming potential results (2021 IPCC AR6, 100-year timeframe) results for the average Swiss household, 208 separate consumption categories, and 106 household archetypes. Means, medians, and standard deviations are provided for all values.
data-ubp
Ecological Scarcity (2021) results for the average Swiss household, 208 separate consumption categories, and 106 household archetypes. Means, medians, and standard deviations are provided for all values.
data-cars
Global warming potential results (2021 IPCC AR6, 100-year timeframe) per passenger kilometre for individual car models. To be used with data-gwp to give specific results for individual households.
Acknowledgement
This work was funded by the Swiss National Science Foundation (SNF) as part of the synthesis stage of the National Research Program 73 (NRP73).
Owner
- Name: OASES team
- Login: OASES-project
- Kind: organization
- Repositories: 1
- Profile: https://github.com/OASES-project
NFP 73 project OASES: Open Assessment of Swiss Economy & Society
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
NFP73 Co-Creation Lab "Data Transparency for
Sustainability"
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Arthur
family-names: Jakobs
email: artos.jakobs@psi.ch
affiliation: Paul Scherrer Institut
orcid: 'https://orcid.org/0000-0003-0825-2184'
- given-names: Chris
family-names: Mutel
email: mutel@ecoinvent.org
affiliation: ecoinvent
orcid: 'https://orcid.org/0000-0002-7898-9862'
repository-code: 'https://github.com/OASES-project/CCL-results'
abstract: >-
This repository includes a report, a set of Jupyter
notebooks, and detailed result datapackages for NFP73
Co-Creation Lab Data Transparency for Sustainability.
It has the following structure. The license for each
output is given in the respective subdirectory:
report:
The final scientific report with the hybrid database
methodology, comparison with other NFP73 project outputs,
basic validation of the hybrid database, and a selection
of results
notebooks
The Jupyter Python notebooks used to build the database
and calculate results.
data-gwp:
Global warming potential results (2021 IPCC AR6, 100-year
timeframe) results for the average Swiss household, 208
separate consumption categories, and 106 household
archetypes. Means, medians, and standard deviations are
provided for all values.
data-ubp:
Ecological Scarcity (2021) results for the average Swiss
household, 208 separate consumption categories, and 106
household archetypes. Means, medians, and standard
deviations are provided for all values.
data-car
Global warming potential results (2021 IPCC AR6, 100-year
timeframe) per passenger kilometre for individual car
models. To be used with data-gwp to give specific results
for individual households.
Acknowledgement
This work was funded by the Swiss National Science
Foundation (SNF) as part of the synthesis stage of the
National Research Program 73 (NRP73).
keywords:
- household consumption
- supply chain modelling
- hybrid life cycle assessment
- uncertainty analysis