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A macroscopic and stereological imaging dataset of Pleuronectes platessa ovaries
The North Sea plaice, Pleuronectes platessa (Linnaeus, 1758), is a commonly studied commercial flatfish with poorly known ovarian histology. The following dataset is a collection of female plaice gonad images and their corresponding histological slides, collected during a complete season of the plai...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260370/ https://www.ncbi.nlm.nih.gov/pubmed/32471976 http://dx.doi.org/10.1038/s41597-020-0505-8 |
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author | Sauger, Carine Quinquis, Jérôme Kellner, Kristell Heude-Berthelin, Clothilde Lepoittevin, Mélanie Elie, Nicolas Dubroca, Laurent |
author_facet | Sauger, Carine Quinquis, Jérôme Kellner, Kristell Heude-Berthelin, Clothilde Lepoittevin, Mélanie Elie, Nicolas Dubroca, Laurent |
author_sort | Sauger, Carine |
collection | PubMed |
description | The North Sea plaice, Pleuronectes platessa (Linnaeus, 1758), is a commonly studied commercial flatfish with poorly known ovarian histology. The following dataset is a collection of female plaice gonad images and their corresponding histological slides, collected during a complete season of the plaice’s reproduction cycle. Stereology was used to determine the percentage of different structures found throughout the ovaries. Inter-agent calibrations were accomplished in order to harmonize the stereological readings, and were based on a comprehensive reading protocol and histological lexicon that were specifically written for the plaice’s ovaries. The distribution and homogeneity of the different cell types found throughout the ovaries were also evaluated. This dataset can be used to automate the stereological reading process (through statistical learning methods for example) or to objectively determine the plaice’s maturity phase, and link that information to either macroscopic measurements or through image analysis of the full ovaries. |
format | Online Article Text |
id | pubmed-7260370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72603702020-06-10 A macroscopic and stereological imaging dataset of Pleuronectes platessa ovaries Sauger, Carine Quinquis, Jérôme Kellner, Kristell Heude-Berthelin, Clothilde Lepoittevin, Mélanie Elie, Nicolas Dubroca, Laurent Sci Data Data Descriptor The North Sea plaice, Pleuronectes platessa (Linnaeus, 1758), is a commonly studied commercial flatfish with poorly known ovarian histology. The following dataset is a collection of female plaice gonad images and their corresponding histological slides, collected during a complete season of the plaice’s reproduction cycle. Stereology was used to determine the percentage of different structures found throughout the ovaries. Inter-agent calibrations were accomplished in order to harmonize the stereological readings, and were based on a comprehensive reading protocol and histological lexicon that were specifically written for the plaice’s ovaries. The distribution and homogeneity of the different cell types found throughout the ovaries were also evaluated. This dataset can be used to automate the stereological reading process (through statistical learning methods for example) or to objectively determine the plaice’s maturity phase, and link that information to either macroscopic measurements or through image analysis of the full ovaries. Nature Publishing Group UK 2020-05-29 /pmc/articles/PMC7260370/ /pubmed/32471976 http://dx.doi.org/10.1038/s41597-020-0505-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Sauger, Carine Quinquis, Jérôme Kellner, Kristell Heude-Berthelin, Clothilde Lepoittevin, Mélanie Elie, Nicolas Dubroca, Laurent A macroscopic and stereological imaging dataset of Pleuronectes platessa ovaries |
title | A macroscopic and stereological imaging dataset of Pleuronectes platessa ovaries |
title_full | A macroscopic and stereological imaging dataset of Pleuronectes platessa ovaries |
title_fullStr | A macroscopic and stereological imaging dataset of Pleuronectes platessa ovaries |
title_full_unstemmed | A macroscopic and stereological imaging dataset of Pleuronectes platessa ovaries |
title_short | A macroscopic and stereological imaging dataset of Pleuronectes platessa ovaries |
title_sort | macroscopic and stereological imaging dataset of pleuronectes platessa ovaries |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260370/ https://www.ncbi.nlm.nih.gov/pubmed/32471976 http://dx.doi.org/10.1038/s41597-020-0505-8 |
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