Open dataset · Driver/Pressure
Global segmentation of the coastal plain and the coastline (current DIVA dataset; successor, not the 2008 database)
Global segmentation of the coastal plain and the coastline (current DIVA dataset; successor, not the 2008 database) is an open dataset published by Zenodo (Global Climate Forum), under CC BY 4.0 (Zenodo record). It describes climate change. Coverage: global. Biohotspot shows it on its map as 3 layers.
About this dataset
This dataset contains global segmentations of the coastline/coastplain. See README.md for further information. The directory-structure mentioned in there can not be provided in the zenodo dataset, but the filename allow for easy reproduction of this structure. A publication describing the methods used to generate the dataset is in preparation and will be added to this dataset as soon as possible.
The authors' description, from the dataset's DataCite record (10.5281/zenodo.19664628, CC0).
What it describes
- Driver/Pressure
- Climate change
- Variables
- Sea level rise (mm/year)
On the Biohotspot map
Open a layer to see it on the map, then tap any sea or draw an area to read its values there.
Get the data
The original 2008 DIVA/DINAS-COAST database is not offered for download as such. Global Climate Forum's DIVA page points to the current global DIVA dataset on Zenodo: open https://zenodo.org/records/19664628 and download the GeoPackage/GeoTIFF/CSV files (coastline segments by GADM1 or NUTS2, floodplains, rivers, cities) plus README.md.
How to cite it
Original article: Vafeidis, A. T., Nicholls, R. J., McFadden, L., Tol, R. S. J., Hinkel, J., Spencer, T., Grashoff, P. S., Boot, G., Klein, R. J. T. (2008). A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise. Journal of Coastal Research 24(4), 917 (start page per spreadsheet URL). https://doi.org/10.2112/06-0725.1. Current dataset (no citation shown on Zenodo page; from metadata): Lincke, D. (2026). Global segmentation of the coastal plain and the coastline (v1). Zenodo. https://doi.org/10.5281/zenodo.19664628
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