Evidence map›Paper›PMID 36463241›Full record

ArticleScientific data2022

Long-term High Resolution Image Dataset of Antarctic Coastal Benthic Fauna.

Simone Marini, Federico Bonofiglio, Lorenzo Paolo Corgnati, Andrea Bordone, Stefano Schiaparelli, Andrea Peirano

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2022. 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
0.8field-weighted citation impact, top 25% of its field
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, 5 citations in OpenAlex.

  1. Review
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

6 authors at 4 institutions in 1 country.

Simone Marini *National Research Council of Italy (CNR), Institute of Marine Sciences, La Spezia, 19132, Italy. simone.marini@sp.ismar.cnr.it.ORCID 0000-0003-0665-7815
Federico Bonofiglio *National Research Council of Italy (CNR), Institute of Marine Sciences, La Spezia, 19132, Italy.
Lorenzo Paolo Corgnati *National Research Council of Italy (CNR), Institute of Marine Sciences, La Spezia, 19132, Italy.
Andrea Bordone *ENEA-Marine Environment Research Centre, La Spezia, 19132, Italy.
Stefano Schiaparelli *DISTAV, Università di Genova, Genova, 16132, Italy.
Andrea Peirano *ENEA-Marine Environment Research Centre, La Spezia, 19132, Italy.
Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche · ITNational Agency for New Technologies, Energy and Sustainable Economic Development · ITStazione Zoologica Anton Dohrn · ITUniversity of Genoa · IT

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Euratom (H2020 Euratom Research and Training Programme 2014-2018) 824348EC | EU Framework Programme for Research and Innovation H2020 | H2020 Euratom (H2020 Euratom Research and Training Programme 2014-2018) 871153
6 · The paper itself

Abstract

Antarctica is a remote place, the continent is covered by ice and its surrounding coastal areas are frozen for the majority of the year. Due to its peculiarity the observation of the underwater organisms is particularly difficult, complicated by logistic factors. We present a long-term dataset consisting of 755 images acquired by using a non-invasive, autonomous imaging device and encompassing both the Antarctic daylight and dark periods, including the corresponding transition phases. All images have the same field of view showing the benthic fauna and part of the water column above, including fishes present in the monitored period. All the images are manually annotated after a visual inspection performed by expert biologists. The extended monitoring period and the annotated images make the dataset a valuable benchmark suitable for studying the dynamics of the long-term Antarctic underwater fauna as well as for developing and testing algorithms for automated image analysis focused on the recognition and classification of the Antarctic organisms and the automated analysis of their long-term dynamics.

Indexed as

Aquatic OrganismsAnimalsAntarctic RegionsEcosystem

Identifiers

PMID36463241
PMCPMC9719491
OpenAlexW4310963635

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.