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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A global consistent database of plankton and detritus from in situ imaging by the Underwater Vision Profiler 5 Ariadna C. Nocera et al. https://doi.org/10.17882/107583

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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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