Evidence map›Paper›PMID 40483280›Full record

ArticleScientific data2025

A macrozoobenthic data set of the Black Sea northwestern shelf.

Séverine Chevalier, Olivier Beauchard, Adrian Teacă, Tatiana Begun, Valentina Todorova, Luc Vandenbulcke, Karline Soetaert, Marilaure Grégoire

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Séverine ChevalierMAST-FOCUS, Department of Astrophysics, Geophysics and Oceanography, University of Liège, Allée du 6 Aoû t 19, 4000, Liège, Belgium. severine.chevalier@uliege.be.ORCID 0000-0001-9766-9867
Olivier BeauchardDepartment of Estuarine and Delta Systems, Netherlands Institute for Sea Research and Utrecht University, Korringaweg 7, 4401 NT, Yerseke, Netherlands.
Adrian TeacăDepartment of Biology and Ecology, National Institute for Research and Development on Marine Geology and Geoecology - GeoEcoMar, 23-25 Dimitrie Onciul Str., 024053, Bucharest, Romania.
Tatiana BegunDepartment of Biology and Ecology, National Institute for Research and Development on Marine Geology and Geoecology - GeoEcoMar, 23-25 Dimitrie Onciul Str., 024053, Bucharest, Romania.
Valentina TodorovaInstitute of Oceanology - Bulgarian Academy of Sciences, P.O.Box 152, 9000, Varna, Bulgaria.
Luc VandenbulckeMAST-FOCUS, Department of Astrophysics, Geophysics and Oceanography, University of Liège, Allée du 6 Aoû t 19, 4000, Liège, Belgium.
Karline SoetaertDepartment of Estuarine and Delta Systems, Netherlands Institute for Sea Research and Utrecht University, Korringaweg 7, 4401 NT, Yerseke, Netherlands.
Marilaure GrégoireMAST-FOCUS, Department of Astrophysics, Geophysics and Oceanography, University of Liège, Allée du 6 Aoû t 19, 4000, Liège, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Benthic ecological data are crucial to study and manage ecosystems. On the one hand, abiotic and species data provide complementary information to identify habitats. On the other hand, trait data, describing taxon characteristics, are required to predict anthropogenic impacts on marine ecosystems. Indeed, species traits are now widely used to understand natural selection in communities or to highlight ecosystem functions. While trait data are in growing demand, compiling them is challenging, time-consuming and there are no properly established procedures for major marine ecosystems. Here, we share a data set comprising macrozoobenthic occurrences for 215 taxa over the Black Sea northwestern shelf, between 1995 and 2017, and 27 traits documented for 127 taxa that related to life cycle and ecosystem function. In addition, we provide an abiotic data set of physical and chemical variables generated by a model or compiled from in-situ data. This data set aims to fill the functional knowledge gap in the Black Sea and offers research opportunities to future studies covering ecosystem functions, biodiversity conservation, and management.

Indexed as

Aquatic OrganismsBiodiversityEcosystemAnimalsBlack Sea

Identifiers

PMID40483280
PMCPMC12145434

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.