Catalogue PIGMA
3D Meshes Dataset of Sagittal Otoliths from 22 Fish Species in the English Channel and North Sea
This dataset provides high-resolution three-dimensional (3D) surface meshes of sagittal otoliths from 22 ecologically and commercially important fish species collected in the Eastern English Channel and the North Sea. Otoliths serve as vital biological archives, offering insights into fish age, growth patterns, environmental histories, and genetics. Unlike traditional morphological approaches, 3D geometric morphometric analyses enable detailed shape quantification critical for fisheries science and marine ecology.
The primary aim of this dataset is to facilitate advanced, non-destructive morphometric analysis for species identification, stock discrimination, and assessments of environmental effects on otolith shape. By offering a standardized, publicly accessible resource, it supports improved fisheries management, ecological research, and conservation in the Northeastern Atlantic.
Simple
- Date (Publication)
- 2025-05-16
- Date (Revision)
- 2026-03-11
- Other citation details
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Andrialovanirina Nicolas, Poisson Caillault Emilie, Mateos Aurélie, Laffont Rémi, Mackenzie Kirsteen, Couette Sébastien, Mahe Kélig (2025). 3D Meshes Dataset of Sagittal Otoliths from 22 Fish Species in the English Channel and North Sea. SEANOE. https://doi.org/10.17882/106566
In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :
Andrialovanirina Nicolas, Poisson Caillault Emilie, Mahe Kelig (2026). Relationship between Otolith and Fish Sizes: Validation Using Their 3D Shape Analysis. Open Journal of Marine Science, 16(1), 27-38. . https://doi.org/10.4236/ojms.2026.161002
- Theme
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- Fish otoliths
- 3D meshes
- Shape analysis
- English Channel
- North Sea
- Fisheries and aquaculture
- Use constraints
- Other restrictions
- Date (Publication)
- 2026
- Unique resource identifier
- 10.48550/arXiv.2602.08046
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- Unique resource identifier
- 10.4236/ojms.2026.161002
- Association Type
- Cross reference
- Initiative Type
- Study
- Unique resource identifier
- 10.17600/18001250
- Association Type
- Cross reference
- Initiative Type
- Platform
- Unique resource identifier
- 10.17600/18001842
- Association Type
- Cross reference
- Initiative Type
- Platform
- Unique resource identifier
- 10.17600/18001811
- Association Type
- Cross reference
- Initiative Type
- Platform
- Metadata language
- English
- Topic category
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- Oceans
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- Distribution format
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CSV
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TEXTE
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PLY
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.R
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CSV
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- OnLine resource
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Processed data
(
WWW:DOWNLOAD-1.0-link--download
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param_otoliths - 12 KB
- OnLine resource
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Processed data
(
WWW:DOWNLOAD-1.0-link--download
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6_landmarks - 19 KB
- OnLine resource
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Processed data
(
WWW:DOWNLOAD-1.0-link--download
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ply_meshes - 1 GB
- OnLine resource
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Rscript
(
WWW:DOWNLOAD-1.0-link--download
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Rscript - 7 KB
- OnLine resource
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Raw data
(
WWW:DOWNLOAD-1.0-link--download
)
README - 6 KB
- OnLine resource
- DOI of the product ( DOI )
- OnLine resource
- Seanoe ( rel-canonical )
- Hierarchy level
- Dataset
- File identifier
- seanoe:106566 XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2026-03-11
- Metadata standard name
- ISO 19115:2003/19139
- Metadata standard version
- 1.0
Overviews
Spatial extent
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