Data · dataset · 2026
INBOVEG - BELAIR LITORA vegetation relevés in coastal grasslands, Flanders, Belgium
Listed in GBIF
This dataset includes vegetation survey data of the BELAIR field campaigns situated within Natura 2000 sites in the LITORA area at the Belgian coastal zone.
Description
These surveys comprise plant species inventories conducted at 'Lage Moere van Meetkerke' (part of the Poldercomplex) during the summers of 2013 and 2015, and at the Zwin grasslands (within the Dune areas site) in the summers of 2014 and 2015. This dataset comes from INBOVEG, the Flemish vegetation database, also part of the Global Index of Vegetation-plot databases (GIV) and the European Vegetation Archive.
This GBIF dataset contains the same data as in INBOVEG: its relevant GIV identification codes are IV2014012815350471 (Lage Moere 2013), IV2015081416383391 (Lage Moere 2015), IV2014090815561332 (Zwin grasslands 2014) and IV2015081416323071 (Zwin grasslands 2015). BELAIR responds to BELSPO’s STEREO II component scientific support to “develop Belgian test sites, for which targeted Earth Observation data and other measurement results are collected, on behalf of the Belgian and international research communities, and which may be used as calibration and validation sites for new EO missions, data and products”.
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To allow anyone to use this dataset, we have released the data to the public domain under a Creative Commons Zero waiver (creativecommons.org/publicdomain/zero/1.0/). We would appreciate it however, if you would follow these norms for data use (inbo.be/en/norms-for-data-use) and provide a link to the original dataset (doi.org/10.15468/58528g) whenever possible. If you use these data for a scientific paper, please cite the dataset following the applicable citation norms and/or consider us for co-authorship.
We are always interested to know how you have used or visualized the data, or to provide more information, so please contact us via the contact information provided in the metadata, or opendata@inbo.be.
Links
Get the data
Where it is published
- GBIF dataset page gbif.org/dataset/1d986050-1897-4708-90ef-859821174a6a ↗
landing page · from gbif
- DOI doi.org/10.15468/58528g ↗
DOI / persistent id · from gbif
Catalogue records · 1
- GBIF API api.gbif.org/v1/dataset/1d986050-1897-4708-90ef-859821174a6a ↗
metadata API · from gbif
Topics
- From keywords
- Life Sciences
- Inferred from text
- Satellite remote sensing 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| GBIF | 1d986050-1897-4708-90ef-859821174a6a | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · gbif | connector:gbif@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · gbif | connector:gbif@1.0.0 | |
| concepts[modality].local:modality:remote-sensing | enrichment · gbif | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · gbif | connector:gbif@1.0.0 | |
| description | source · gbif | connector:gbif@1.0.0 | /description |
| license | source · gbif | connector:gbif@1.0.0 | |
| publication_date | source · gbif | connector:gbif@1.0.0 | |
| spatial | source · gbif | connector:gbif@1.0.0 | |
| temporal | source · gbif | connector:gbif@1.0.0 | |
| title | source · gbif | connector:gbif@1.0.0 | /title |
| updated_date | source · gbif | connector:gbif@1.0.0 |