DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Nantes, Centre Atlantique, Rue de l'Ile d'Yeu, BP 21105, 44311 Nantes CEDEX 03, France
Paul Bourriau
DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Nantes, Centre Atlantique, Rue de l'Ile d'Yeu, BP 21105, 44311 Nantes CEDEX 03, France
Edwin Daché
Unité Biologie et Ecologie des Ecosystèmes marins Profonds, Laboratoire Environnement Profond, Ifremer Centre Bretagne, ZI de la Pointe du Diable, CS 10070, 29280 Plouzané, France
Marie-Madeleine Danielou
Unité DYNECO-PELAGOS, Laboratoire d'Ecologie Pélagique, Ifremer Centre Bretagne, ZI de la Pointe du Diable, CS 10070, 29280 Plouzané, France
Mathieu Doray
DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Nantes, Centre Atlantique, Rue de l'Ile d'Yeu, BP 21105, 44311 Nantes CEDEX 03, France
Christine Dupuy
BIOFEEL, UMRi LIENSs, La Rochelle University/CNRS, 2, rue Olympe de Gouges, 17000 La Rochelle, France
Bertrand Forest
Laboratoire Hydrodynamique Marine, Unité RDT, Ifremer Centre Bretagne, ZI de la Pointe du Diable, CS 10070, 29280 Plouzané, France
Laetitia Jalabert
Sorbonne Université, Institut de la Mer de Villefranche, 06230 Villefranche-sur-mer, France
Martin Huret
DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Centre Bretagne, ZI de la Pointe du Diable, CS 10070, 29280 Plouzané, France
Sophie Le Mestre
DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Centre Bretagne, ZI de la Pointe du Diable, CS 10070, 29280 Plouzané, France
Antoine Nowaczyk
UMR CNRS 5805 EPOC–OASU, Station Marine d'Arcachon, Université de Bordeaux, 2 Rue du Professeur Jolyet, 33120 Arcachon, France
Pierre Petitgas
Departement Ressources Biologiques et Environnement, Ifremer Centre Atlantique, Rue de l'Ile d'Yeu, BP 21105, 44311 Nantes CEDEX 03, France
Philippe Pineau
BIOFEEL, UMRi LIENSs, La Rochelle University/CNRS, 2, rue Olympe de Gouges, 17000 La Rochelle, France
Justin Rouxel
Laboratoire Détection, Capteurs et Mesures, Unité RDT, Ifremer Centre Bretagne, ZI de la Pointe du Diable, CS 10070, 29280 Plouzané, France
Morgan Tardivel
Laboratoire Détection, Capteurs et Mesures, Unité RDT, Ifremer Centre Bretagne, ZI de la Pointe du Diable, CS 10070, 29280 Plouzané, France
DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Nantes, Centre Atlantique, Rue de l'Ile d'Yeu, BP 21105, 44311 Nantes CEDEX 03, France
Viewed
Total article views: 3,105 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,116
824
165
3,105
168
211
HTML: 2,116
PDF: 824
XML: 165
Total: 3,105
BibTeX: 168
EndNote: 211
Views and downloads (calculated since 01 Jun 2023)
Cumulative views and downloads
(calculated since 01 Jun 2023)
Total article views: 1,968 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,469
388
111
1,968
133
173
HTML: 1,469
PDF: 388
XML: 111
Total: 1,968
BibTeX: 133
EndNote: 173
Views and downloads (calculated since 13 Mar 2024)
Cumulative views and downloads
(calculated since 13 Mar 2024)
Total article views: 1,137 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
647
436
54
1,137
35
38
HTML: 647
PDF: 436
XML: 54
Total: 1,137
BibTeX: 35
EndNote: 38
Views and downloads (calculated since 01 Jun 2023)
Cumulative views and downloads
(calculated since 01 Jun 2023)
Viewed (geographical distribution)
Total article views: 3,105 (including HTML, PDF, and XML)
Thereof 3,020 with geography defined
and 85 with unknown origin.
Total article views: 1,968 (including HTML, PDF, and XML)
Thereof 1,899 with geography defined
and 69 with unknown origin.
Total article views: 1,137 (including HTML, PDF, and XML)
Thereof 1,121 with geography defined
and 16 with unknown origin.
We present two space- and time-resolved zooplankton datasets originating from samples collected in the Bay of Biscay in spring over the 2004–2019 period and imaged with the interoperable imaging systems ZooScan and ZooCAM. These datasets are suited for long-term size-based or combined size- and taxonomy-based ecological studies of zooplankton. The set of sorted images are provided along with a set of morphological descriptors that are useful when machine learning is applied to plankton studies.
We present two space- and time-resolved zooplankton datasets originating from samples collected...
