Macroscopic, histological and stereological image dataset of Four-Spot megrim (Lepidorhombus boscii) ovaries from the ICES Celtic Seas and Bay of Biscay Ecoregions
<p><strong>Contents: </strong></p> <p>This dataset contains the macroscopic and histological images of the ovaries of 68 Four-spot megrim (female, <em>Lepidorhombus boscii</em> (Risso, 1810)) collected from the ICES Celtic Seas or Bay of Biscay Ecoregions (Eco) in November 2019 (n=25; Eco=7j), November 2020 (n=16, Eco=7h & 7j), October 2021 (n=12, Eco=8a,b,c) and November 2021 (n=15, Eco=7j) during the annual scientific campaign EVHOE (Evaluation Halieutique Ouest de l'Europe).</p> <p> </p> <p><strong>Images:</strong></p> <ul> <li><strong>Macroscopic_pictures.zip: </strong>archive in zip format of 139 pictures (.JPG; 2Mo-6Mo; JPG; 350pp) from 51 female Four-spot megrim dissected during this study. Each photo was taken with a digital camera (no flash). For each individual, up to three pictures were taken when possible (Le Meleder <em>et al.</em>, 2022) with : </li> <ul> <li>one picture of the entire fish with its abdominal cavity open with the ovaries in view</li> <li>one picture of the whole fish with the ovaries outside of the abdominal cavity</li> <li>one picture of the ovaries</li> <li>the name of the picture is the same as the fish's ID number.</li> </ul> <li><strong>Histology_slides.zip :</strong> archive in zip format containing the ovarian histological slides digitized using an Aperio CS (Scan Scope Console software, v.10.2.0.2352), x20 lens. The whole slide images (.svs) are of the 218 histological slides acquired during this study. </li> </ul> <p> </p> <p><strong>Data:</strong></p> <ul> <li><strong>QuPath.zip :</strong> archive in zip format containing the reading grids for the stereology readings of the histological cross sections of the ovaries under QuPath. For more information on QuPath stereology readings, see Dubroca <em>et al.</em> (2023) in <strong>References</strong>.</li> <ul> <li><strong>Stereo_BOS_read_me.txt</strong> : a text file (.txt) listing the acronyms used in the stereology reading grids under QuPath, as well as their meaning</li> </ul> <li><strong>Macro_BOS_read_me.txt</strong> : a text file (.txt) listing the acronyms used in the <strong>Macro_BOS.xlsx</strong> file, as well as their meaning.</li> <li><strong>Macro_BOS.csv</strong> : Data file (.csv) containing measurements of macroscopic parameters for all 68 fish sampled during this study. The information contained in this table is as follows: </li> <ul> <li>Fish_id: identification of the fish. This id is identical to the name given to the pictures of the full ovaries (<strong>Macroscopic_pictures_Data</strong>)</li> <li>ICES _Division: International Council for the Exploration of the Sea (ICES) division where the fish was sampled in the Food and agricultural Organization of the United nations (FAO) fishing area 27</li> <li>ICES_statistical_rectangle : Statistical rectangle where the fish was sampled within the FAO fishing area 27</li> <li>Date: date the fish was caught (dd/mm/yyyy)</li> <li>Total_fish_length: total length of the fish (cm)</li> <li>Ungutted_fish_weight: total weight of the fish (g)</li> <li>Otolith_ID: unique identification number given to each sampled fish through the Imagine (Ellebode <em>et al.</em>, 2022) software used by IFREMER</li> <li>Parasite: presence (Y) or absence (N) of parasite in or on the fish</li> <li>age: age (in years) of the fish after analysis of the fish's otolith. The IFREMER laboratory of Boulogne-sur-Mer (FRANCE) executed this analysis</li> <li>Visual_maturity : visually estimated maturity, after observation macroscopic criteria of the fish's gonad with the naked eye, following the WKASMSF (ICES, 2018) scale</li> <li>Liver_weight: liver weight (g)</li> <li>Droite_gonad_weight : gonad weight (g) of right ovary</li> <li>Gauche_gonad_weight : gonad weight (g) of left ovary</li> <li>Sections: number of cross sections sampled for the individual</li> </ul> </ul> <p> </p> <p><strong>Contact :</strong></p> <p>This dataset was established under the MATO (MATurité Objectif des poissons par l'histologie quantitative) project, during the PhD of Carine Sauger (October 2021-2023), financed by France Fillière Pêche (FFP/2020/AM/MF/109), under the supervision of IFREMER (Institut Français de Recherche pour l'Exploitation de la Mer) and BOREA (Biologie des Organismes et Ecosystèmes Aquatiques), and with the collaboration of a research facility from the University of Caen-Normandie : CMABIO3 (Centre de Microscopie Appliquée à la Biologie). For any enquiries, please contact: carine.sauger@gmail.com or laurent.dubroca@ifremer.fr</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 8
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0