Evidence map›Paper›PMID 41998029›Full record

ArticleScientific data2026

A Global Dataset of Bathymetric Features Identified with Prominence and Isobaths Analysis.

Alban Souche, Ebbe H Hartz, Daniel W Schmid

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alban SoucheBergverk AS, Sandefjord, Norway. alban.souche@bergwerk.com.
Ebbe H HartzAker BP ASA, Lysaker, Norway.
Daniel W SchmidBergverk AS, Sandefjord, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The systematic, global-scale characterization of submarine landforms is fundamental to ocean science, yet is often hindered by inconsistent, proprietary, or closed-source methodologies. We address this critical gap by presenting a global dataset of 125,514 bathymetric features derived from the GEBCO_2025 Grid using a novel, reproducible workflow based on topographic prominence and isobath analysis. The dataset includes all features with a prominence greater than 300 meters. Each feature is defined by its peak location and characterized by five nested contour levels, capturing its morphology from base to summit. For each contour level, a comprehensive suite of morphometric attributes is provided, including area, circularity, orientation, and slope. This rich attribution allows for easy filtering and sub-classification; for instance, features with prominence >1000 m and high circularity can be readily isolated to study seamounts. This dataset provides an objective and quantitative foundation for systematic classification, supporting research in marine geology, volcanism, marine biodiversity, oceanography including climate studies, and resource assessment. The data are distributed as OGC-compliant GeoPackage files, and all processing code is openly available and documented to ensure full reproducibility and broad usability.

Identifiers

PMID41998029
PMCPMC13276390

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.