Evidence map›Paper›PMID 39043651›Full record

ArticleScientific data2024

3D meshes dataset of sagittal otoliths from red mullet in the Mediterranean Sea.

Nicolas Andrialovanirina, Lauriane Poloni, Rémi Laffont, Émilie Poisson Caillault, Sébastien Couette, Kélig Mahé

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nicolas AndrialovanirinaUniv. Littoral Côte d'Opale, UR 4491, LISIC, Calais, F-62100, France. nicolas.andrialovanirina@ifremer.fr.ORCID 0000-0002-6803-0527
Lauriane PoloniÉcole Pratique des Hautes Études, PSL Université, Paris, 75014, France.
Rémi LaffontUMR CNRS 6282 Biogéosciences, Université de Bourgogne, 6 Bd Gabriel, Dijon, 21000, France.
Émilie Poisson CaillaultUniv. Littoral Côte d'Opale, UR 4491, LISIC, Calais, F-62100, France.
Sébastien CouetteÉcole Pratique des Hautes Études, PSL Université, Paris, 75014, France.
Kélig MahéIfremer, Unité HMMN, Laboratoires Ressources Halieutiques, 150 quai Gambetta, Boulogne-sur-Mer, 62321, France. kelig.mahe@ifremer.fr.ORCID 0000-0002-6506-211X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a dataset of 3D sagittal left otolith meshes from 339 individual red mullet (Mullus barbatus). These immature specimens were collected from 17 geographical areas covering the entire Mediterranean Sea. Measured biological parameters were: fish total length (TL ± 1 mm, range from 125 to 238 mm), total weight (W ± 0.1 g, range from 14.9 to 168.0 g), sex (S), sexual maturity staging (Mat). The 3D otolith dataset comprises high-resolution meshes of otoliths obtained using microtomography (29.2 μm voxel size). The data offer valuable insights into the morphological variability and population structure of red mullet populations in the Mediterranean Sea. Potential applications of the dataset include age determination, stock identification, and population connectivity analysis. These applications aim to enhance the understanding of red mullet populations and contribute to the sustainable management of marine resources in the Mediterranean Sea.

Indexed as

Otolithic MembraneAnimalsFemaleMaleMediterranean SeaSmegmamorpha

Identifiers

PMID39043651
PMCPMC11266348

What OpenQuestion holds

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Registered trials

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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.