Published January 8, 2024 | Version 2023-07-14

Result data related to "Mey et al (2024): Visions for our future regional electricity system"

Authors/Creators

  • 1. ROR icon ETH Zurich

Description

Result data from "Mey et al (2024): Visions for our future regional electricity system – citizen preferences in four EU countries".

This repository containts pre-processed survey data and inference results of our statistical models. PyMC inference results are within netCDF files (*.nc) and can be opened for example with ArviZ. Pre-processed survey data is available in Feather and CSV format. Pre-processing included cleaning and adjusting data types and applying the following fixes to the raw data:

  1. Removed dash in front of birth years and number of years within region.
  2. Transformed age to birth year if provided as age.
  3. Transformed calender year to number of years within region if provided as calendar year.
  4. Applied fixes to German postal codes.
  5. Non-destructively derived variables.

If you use this dataset in an academic publication, please cite the following article:

Mey, F., Lilliestam, J., Wolf, I., & Tröndle, T. (2024). Visions for our future regional electricity system – citizen preferences in four EU countries. iScience.

Files

survey-data.csv

Files (41.4 GB)

Name Size
md5:2245f92e727c82a697c3834eca79e8e3
20.9 GB Download
md5:59c86353b8ebf05bf52f4897c5b11534
20.5 GB Download
md5:ac0eccb3663a03125592c3e32e645fd7
36.5 MB Preview Download
md5:8dc5d230d061d04b773c6c05bab9c503
1.7 MB Download

Additional details

Related works

Is compiled by
Workflow: 10.5281/zenodo.10463120 (DOI)
Is derived from
Dataset: 10.5281/zenodo.10463074 (DOI)

Funding

European Commission
TRIPOD - The transition to a renewable electricity system and its interactions with other policy aims 715132
Deutsche Forschungsgemeinschaft
NFDI4Energy 501865131