Evidence map›Paper›PMID 42236466›Full record

ArticleScientific data2026

The Antarctic Seafloor Annotated Imagery Database.

Jan Jansen, Victor Shelamoff, Charley Gros, Thomas Windsor, Nicole A Hill, David K Barnes, David A Bowden, Julian Gutt, Narissa Bax, Rachel V Downey and 9 more

Abstract readDataset
PubMed Full text at PMC Publisher
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

19 authors.

Jan JansenInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia. jan.jansen@utas.edu.au.
Victor ShelamoffInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia.
Charley GrosInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia.
Thomas WindsorInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia.
Nicole A HillInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia.
David K BarnesBritish Antarctic Survey, UKRI, Cambridge, UK.
David A BowdenNational Institute of Water and Atmospheric Research, Wellington, New Zealand.
Julian GuttAlfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.
Narissa BaxPinngortitaleriffik, Greenland Institute of Natural Resources, Nuuk, Greenland.
Rachel V DowneyFenner School of Environment and Society, Australian National University, Canberra, Australia.
Marc P EléaumeMuséum National d'Histoire Naturelle, UMR 7205-ISYEB, Centre National de la Recherche Scientifique-UPMC-EPHE, Paris, France.
Alexandra L PostAustralian Centre for Excellence in Antarctic Science, University of Tasmania, Hobart, Australia.
Huw J GriffithsBritish Antarctic Survey, UKRI, Cambridge, UK.
Katrin LinseBritish Antarctic Survey, UKRI, Cambridge, UK.
Dieter PiepenburgAlfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.
Autun PurserAlfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.
Craig R SmithDepartment of Oceanography, University of Hawai'i at Mānoa, Honolulu, USA.
Amanda ZieglerDepartment of Arctic and Marine Biology, The Arctic University of Norway, Tromsø, Norway.
Craig R JohnsonInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia.

Funding

Australian Research Council DP190101858
6 · The paper itself

Abstract

Marine imagery can be a comparatively cost-effective way to collect data on seafloor organisms, biodiversity and habitat morphology. However, annotating these images to extract detailed biological information is time-consuming and expensive, and reference libraries of consistently annotated seafloor images are rarely publicly available. Here, we present the Antarctic Seafloor Annotated Imagery Database (AS-AID), a result of a multinational collaboration to collate and annotate seafloor imagery datasets from 21 Antarctic research campaigns between 1985 and 2019. AS-AID is comprised of 52,491 georeferenced downward facing seafloor images of which 3,599 have been labelled with a total of 632,252 expert annotations. Annotations are based on the Collaborative and Automated Tools for Analysis of Marine Imagery (CATAMI) classification scheme and have been reviewed by experts. In addition, because the pixel location of each annotation within each image is available, annotations can be viewed easily and customised to suit individual research priorities. This dataset can be used to investigate species distributions, community patterns, provide a reference to assess change through time, and can be used to train algorithms to automatically detect and annotate marine fauna.

Indexed as

Aquatic OrganismsDatabases, FactualAnimalsAntarctic RegionsBiodiversityData CurationEcosystem

Identifiers

PMID42236466
PMCPMC13538502

What OpenQuestion holds

Textmetadata
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.