BURUNDI: Level-4 Geological Units
FAIR Overall Score
Abstract
Lithological units of Burundi (fourth step of aggregation).
Keywords
Supplemental information
Based on the Level-3 geological units data, the layer corresponds to the least detailed level in which rocks are grouped according to their origin, i.e., igneous, sedimentary, deposits, and metamorphic.
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 - Center for Climate Change and Transformation
massimiliano.pittore@eurac.edu
ITA
Contact for metadata
Eurac Research - Center for Climate Change and Transformation
massimiliano.pittore@eurac.edu
ITA
Download online resources
SHAPE-ZIP · BURUNDI: Level-4 Geological Units charset UTF-8 · BURUNDI: Level-4 Geological Units format_options=charset UTF-8 · BURUNDI: Level-4 Geological Units csv · BURUNDI: Level-4 Geological Units excel · BURUNDI: Level-4 Geological Units gml2 · BURUNDI: Level-4 Geological Units json · BURUNDI: Level-4 Geological Units text xml +subtype gml 3.1.1 · BURUNDI: Level-4 Geological Units image/png · BURUNDI: Level-4 Geological Units application pdf · BURUNDI: Level-4 Geological Units image jpeg · BURUNDI: Level-4 Geological Units image png · BURUNDI: Level-4 Geological Units image/png8 · BURUNDI: Level-4 Geological Units
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 |