Electricity Prices for Households
FAIR Overall Score
Abstract
Electricity prices components for household consumers -annual data (from 2007 onwards). Annual values taken from the Eurostat dataset with a national level resolution.
Keywords
Supplemental information
Time frequency: 'Annual'. Original title: Electricity prices components for household consumers Components of energy prices: ‘Energy and supply' Currency:’Euro’
Legal constraints
Public Domain (PD): Works in the public domain may be used freely without the permission of the former copyright owner. (http://www.copyright.gov/help/faq/faq-definitions.html)
Contact for resource
Eurac Research - Institute for Renewable Energy
daniele_antonucci@eurac.edu
Bolzano, ITA
Contact for metadata
Eurac Research - Institute for Renewable Energy
daniele_antonucci@eurac.edu
Bolzano, ITA
Download online resources
SHAPE-ZIP · Electricity Prices for Households charset UTF-8 · Electricity Prices for Households format_options=charset UTF-8 · Electricity Prices for Households csv · Electricity Prices for Households excel · Electricity Prices for Households gml2 · Electricity Prices for Households json · Electricity Prices for Households text xml +subtype gml 3.1.1 · Electricity Prices for Households image/png · Electricity Prices for Households application pdf · Electricity Prices for Households image jpeg · Electricity Prices for Households image png · Electricity Prices for Households image/png8 · Electricity Prices for Households
FAIR Overall Score: 77%
| Principle | Score | Earned | Level |
|---|---|---|---|
| Findable | 57% | 4 of 7 | moderate |
| Accessible | 100% | 7 of 7 | advanced |
| Interoperable | 67% | 4 of 6 | moderate |
| Reusable | 83% | 5 of 6 | moderate |
Evaluated by F-UJI web service: Anusuriya Devaraju, & Robert Huber. (2020). F-UJI - An Automated FAIR Data Assessment Tool. Zenodo. https://doi.org/10.5281/zenodo.6361400
Related docs
| # | Name | Description | Link | Date published | Category |
|---|---|---|---|---|---|
| 1 | Maps web services URLs | Here you can find all the available web service URLs provided by Maps, to consume datasets through an interoperable client (QGIS, Python, etc.) or to develop codes for analysis. The most relevant services to access datasets are: WMS (Web Map Service) to visualize layers in a map and to query them); WFS (Web Feature Service) or WCS (Web Coverage Service) to download raw datsets and use them for deep analysis or transformation. | Link | Dec. 13, 2021 | Maps |
| 2 | maps.eurac.edu documentation | maps.eurac.edu is based on Geonode, here the link to the official documentation | Link | April 28, 2021 | Maps |