https://github.com/calliope-project/ec_jrc_idees

Easy JRC-IDEES data!

https://github.com/calliope-project/ec_jrc_idees

Science Score: 39.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.4%) to scientific vocabulary

Keywords

energy-data european-union
Last synced: 9 months ago · JSON representation

Repository

Easy JRC-IDEES data!

Basic Info
  • Host: GitHub
  • Owner: calliope-project
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 3.23 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 3
  • Releases: 0
Topics
energy-data european-union
Created almost 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md

Easy JRC - IDEES data!

This package makes reading JRC - IDEES data simple by:

  • Transforming data into a tidy format.
  • Making names readable.

Credit

[!NOTE] JRC - IDEES is a dataset created by the Joint Research Centre of the European Commission, accessible here.

Rózsai, M., Jaxa-Rozen, M., Salvucci, R., Sikora, P., Tattini, J. and Neuwahl, F., JRC-IDEES-2021: the Integrated Database of the European Energy System – Data update and technical documentation, Publications Office of the European Union, Luxembourg, 2024, doi:10.2760/614599, JRC137809.

Owner

  • Name: Calliope
  • Login: calliope-project
  • Kind: organization

A multi-scale energy systems modelling framework

GitHub Events

Total
  • Watch event: 1
  • Push event: 6
  • Pull request event: 1
  • Create event: 1
Last Year
  • Watch event: 1
  • Push event: 6
  • Pull request event: 1
  • Create event: 1

Dependencies

pyproject.toml pypi