Articles | Volume 16, issue 3
https://doi.org/10.5194/essd-16-1265-2024
https://doi.org/10.5194/essd-16-1265-2024
Data description paper
 | 
13 Mar 2024
Data description paper |  | 13 Mar 2024

Metazoan zooplankton in the Bay of Biscay: a 16-year record of individual sizes and abundances obtained using the ZooScan and ZooCAM imaging systems

Nina Grandremy, Paul Bourriau, Edwin Daché, Marie-Madeleine Danielou, Mathieu Doray, Christine Dupuy, Bertrand Forest, Laetitia Jalabert, Martin Huret, Sophie Le Mestre, Antoine Nowaczyk, Pierre Petitgas, Philippe Pineau, Justin Rouxel, Morgan Tardivel, and Jean-Baptiste Romagnan

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Revised manuscript accepted for ESSD
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Cited articles

Ahlstrom, E. H.: Studies on the Pacific Pilchard Or Sardine (Sardinops Caerulea): Influence of Temperature on the Rate of Development of Pilchard Eggs in Nature, U.S. Fish and Wildlife Service, 206 pp., 1943. 
Banse, K.: Zooplankton: Pivotal role in the control of ocean production: I. Biomass and production, ICES J. Mar. Sci., 52, 265–277, https://doi.org/10.1016/1054-3139(95)80043-3, 1995. 
Beaugrand, G., Brander, K. M., Lindley, J. A., Souissi, S., and Reid, P. C.: Plankton effect on cod recruitment in the North Sea, Nature, 426, 661–664, https://doi.org/10.1038/nature02164, 2003. 
Benedetti, F., Jalabert, L., Sourisseau, M., Becker, B., Cailliau, C., Desnos, C., Elineau, A., Irisson, J.-O., Lombard, F., Picheral, M., Stemmann, L., and Pouline, P.: The Seasonal and Inter-Annual Fluctuations of Plankton Abundance and Community Structure in a North Atlantic Marine Protected Area, Front. Mar. Sci., 6, 214, https://doi.org/10.3389/fmars.2019.00214, 2019. 
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Short summary
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.
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