A Global Dataset of Bathymetric Features Identified with Prominence and Isobaths Analysis
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PANGAEA
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| Autores principales: | , , |
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2026
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| _version_ | 1867170142766497792 |
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| author | Souche, Alban Hartz, Ebbe H Schmid, Daniel W |
| author_facet | Souche, Alban Hartz, Ebbe H Schmid, Daniel W |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | This dataset comprises 125,514 submarine bathymetric features derived from the GEBCO_2025 Grid at 15 arc-second resolution (GEBCO Compilation Group, 2025) through computational analysis. Features were identified globally (excluding land areas) using topographic prominence calculation based on the algorithm of Kirmse and de Ferranti (2017), and characterized via isobath analysis. Each feature with prominence ≥300 m is represented as a polygon geometry with five nested contour levels (100%, 90%, 75%, 50%, and 25% from base to peak prominence level) and morphometric attributes including area, circularity, orientation, bounding box dimensions, and slope statistics. A companion point dataset contains all 143,888 detected peaks, including those rejected during quality control. The dataset provides an objective, reproducible global inventory of submarine features for research in marine geology, biodiversity, oeanography, and resource assessment. The attribute-rich structure enables users to define sub-classifications using standard SQL queries (e.g., filtering for seamounts using prominence ≥1000 m and circularity criteria). Data are distributed as OGC-compliant GeoPackage files. Processing was performed in 2025. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_992546 |
| institution | PANGAEA |
| language | en |
| publishDate | 2026 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | A Global Dataset of Bathymetric Features Identified with Prominence and Isobaths Analysis Souche, Alban Hartz, Ebbe H Schmid, Daniel W Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); File content; GEBCO; GlobCover; isobath; knolls; marine geomorphology; prominence; Seamounts This dataset comprises 125,514 submarine bathymetric features derived from the GEBCO_2025 Grid at 15 arc-second resolution (GEBCO Compilation Group, 2025) through computational analysis. Features were identified globally (excluding land areas) using topographic prominence calculation based on the algorithm of Kirmse and de Ferranti (2017), and characterized via isobath analysis. Each feature with prominence ≥300 m is represented as a polygon geometry with five nested contour levels (100%, 90%, 75%, 50%, and 25% from base to peak prominence level) and morphometric attributes including area, circularity, orientation, bounding box dimensions, and slope statistics. A companion point dataset contains all 143,888 detected peaks, including those rejected during quality control. The dataset provides an objective, reproducible global inventory of submarine features for research in marine geology, biodiversity, oeanography, and resource assessment. The attribute-rich structure enables users to define sub-classifications using standard SQL queries (e.g., filtering for seamounts using prominence ≥1000 m and circularity criteria). Data are distributed as OGC-compliant GeoPackage files. Processing was performed in 2025. |
| title | A Global Dataset of Bathymetric Features Identified with Prominence and Isobaths Analysis |
| topic | Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); File content; GEBCO; GlobCover; isobath; knolls; marine geomorphology; prominence; Seamounts |
| url | https://doi.org/10.1594/PANGAEA.992546 |