DinAlpConnect Project area

Full metadata Maps repository

FAIR Overall Score

77%

Abstract

This data set represents the considered area between the Alps and Dinaric mountains to analyze the situation of ecological connectivity. Link to map: https://maps.eurac.edu/maps/1140/view File name: DinAlpConnect_Project_area.shp Project website: https://dinalpconnect.adrioninterreg.eu/

Keywords

Europe, features, DinAlpConnect_Project_area, Dinaric Alps

Supplemental information

Citation: Laner, P., & Favilli, F. (2022). DinAlpConnect Project area [Data set]. Eurac Research. https://doi.org/10.48784/TVW9-Q912

Legal constraints

Creative Common Attribution 4.0 International (CC BY 4.0): You are free to share and adapt under the following conditions: attribution and no additional restriction. (https://creativecommons.org/licenses/by/4.0/deed.en)

Download online resources

SHAPE-ZIP · DinAlpConnect Project area charset UTF-8 · DinAlpConnect Project area format_options=charset UTF-8 · DinAlpConnect Project area csv · DinAlpConnect Project area excel · DinAlpConnect Project area gml2 · DinAlpConnect Project area json · DinAlpConnect Project area text xml +subtype gml 3.1.1 · DinAlpConnect Project area image/png · DinAlpConnect Project area image/png · DinAlpConnect Project area application pdf · DinAlpConnect Project area image jpeg · DinAlpConnect Project area image png · DinAlpConnect Project area image/png8 · DinAlpConnect Project area

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

Assessed 2026-07-22 (metrics 0.8)

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