Articles | Volume 18, issue 10
https://doi.org/10.5194/essd-18-7345-2026
https://doi.org/10.5194/essd-18-7345-2026
Data description article
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06 Oct 2026
Data description article | Highlight paper |  | 06 Oct 2026

A global consistent database of plankton and detritus from in situ imaging by the Underwater Vision Profiler 5

Ariadna C. Nocera, Lars Stemmann, Marcel Babin, Tristan Biard, Julie Coustenoble, François Carlotti, Laurent Coppola, Lucas Courchet, Laetitia Drago, Amanda Elineau, Lionel Guidi, Helena Hauss, Laëtitia Jalabert, Lee Karp-Boss, Rainer Kiko, Manon Laget, Fabien Lombard, Andrew McDonnell, Camille Merland, Solène Motreuil, Thelma Panaïotis, Marc Picheral, Andreas Rogge, Anya Waite, and Jean-Olivier Irisson

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Accardo, A., Laxenaire, R., Baudena, A., Speich, S., Kiko, R., and Stemmann, L.: Intense and localized export of selected marine snow types at eddy edges in the South Atlantic Ocean, Biogeosciences, 22, 1183–1201, https://doi.org/10.5194/bg-22-1183-2025, 2025. 
Atherden, F., Slomska, A., and Manno, C.: Sediment trap illustrates taxon-specific seasonal signals in Southern Ocean zooplankton, Mar. Biol., 171, 173, https://doi.org/10.1007/s00227-024-04487-2, 2024. 
Barth, A. and Stone, J.: Comparison of an in situ imaging device and net-based method to study mesozooplankton communities in an oligotrophic system, Front. Mar. Sci., 9, 898057, https://doi.org/10.3389/fmars.2022.898057, 2022. 
Barth, A., Walter, R. K., Robbins, I., and Pasulka, A.: Seasonal and interannual variability of phytoplankton abundance and community composition on the Central Coast of California, Mar. Ecol. Prog.-Ser., 637, 29–43, https://doi.org/10.3354/meps13245, 2020. 
Biard, T. and Ohman, M. D.: Vertical niche definition of test-bearing protists (Rhizaria) into the twilight zone revealed by in situ imaging, Limnol. Oceanogr., 65, 2583–2602, https://doi.org/10.1002/lno.11472, 2020. 
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Editorial statement
This manuscript presents a commendable effort to assemble and standardize a comprehensive, decade-long (2008–2018) global dataset of plankton and detritus from Underwater Vision Profiler. The resulting archive of approximately eight million validated images is a valuable resource that will support future analyses of plankton biogeography, enhance biogeochemical models, and aid in developing AI-driven image classification methods.
Short summary
Plankton and sinking organic particles (detritus) shape how the ocean stores carbon, but they are difficult to observe worldwide. We present a global, openly available collection of about 8 million images captured by an underwater camera (UVP5) in 3114 profiles from 2008 to 2018 and sorted into 33 categories. Detritus made up 90 % of the objects and copepods were the most common plankton. The dataset can help train machine learning tools and improve ocean ecosystem and climate models.
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