Occurrence cubes at species level for European countries
Creators
- 1. Research Institute for Nature and Forest (INBO)
- 2. Botanic Garden Meise
- 3. Ghent University
- 4. Belgian Biodiversity Platform
Description
This package contains aggregated occurrence data ("occurrence cubes") at species level for European countries. These occurrence cubes were generated by grouping species occurrence data from the Global Biodiversity Information Facility (GBIF) by year (year
), 1x1km spatial EEA reference grid cell (eea_cell_code
) and species (speciesKey
). For each grouping, the number of occurrences found in GBIF (n
) and the minimum coordinateUncertaintyInMeters (min_coord_uncertainty
) are provided. The provided coordinateUncertaintyInMeters of an occurrence is taken into account when assigning it to a grid cell (see this code). The occurrence cubes can be used as input data for indicators, mapping and species distribution modelling.
The occurrence cubes are built on open science principles and intended to be completely reproducible:
- The input data are publicly available on GBIF, with the download DOIs listed in the related identifiers of this package.
- The code to process the data to cubes is publicly available on GitHub at https://github.com/trias-project/occ-cube (version 20220308).
Files
- Occurrence cubes at species level per country: filename format
countrycode_species_cube.csv
. - Taxonomic information for species in a cube: filename format
countrycode_species_info.csv
.
Included countries
- Belgium (BE): based on https://10.15468/dl.hefbvj
- Italy (IT): based on https://10.15468/dl.8aasr6
- Lithuania (LT): based on https://10.15468/dl.kmh5hs
- Slovenia (SI): based on https://10.15468/dl.b22yu3
- Romania (RO): based on https://10.15468/dl.u7kkvk
Occurrence cubes are added on demand. To include occurrence cubes for other European countries, leave an issue or contact the main author, or generate your own cube using the code in this repository.
Notes
Files
be_species_cube.csv
Files
(586.5 MB)
Name | Size | Download all |
---|---|---|
md5:977205aebcad3e0bf129050938075707
|
462.1 MB | Preview Download |
md5:1251481d406947598389f13093f2cd34
|
2.3 MB | Preview Download |
md5:fc8aa6123a9e582dde70b59413157594
|
81.8 MB | Preview Download |
md5:9e1217c3b2b234f3a4af14b4d1b81ede
|
4.3 MB | Preview Download |
md5:29c486d910e2dace72236e861d580729
|
14.8 MB | Preview Download |
md5:f5674380d7ddb719fc0895050c6a9066
|
755.1 kB | Preview Download |
md5:76202309c017d4062b3d2c7f9bebd88b
|
8.7 MB | Preview Download |
md5:5aa254dee8dc74c899810546788fbefd
|
954.6 kB | Preview Download |
md5:dd8f8924fb43112c6bf70610e098d4fb
|
9.7 MB | Preview Download |
md5:9f7bf3b886e7b8cca951b1ba98342aab
|
1.1 MB | Preview Download |
Additional details
Related works
- Is derived from
- Dataset: 10.15468/dl.hefbvj (DOI)
- Dataset: 10.15468/dl.8aasr6 (DOI)
- Dataset: 10.15468/dl.kmh5hs (DOI)
- Dataset: 10.15468/dl.b22yu3 (DOI)