Articles | Volume 17, issue 11
https://doi.org/10.5194/essd-17-6583-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-6583-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
27 Nov 2025
Data description paper |
| 27 Nov 2025
| 27 Nov 2025
Long-term plankton and environmental monitoring dataset from the marine protected area of the Iroise Marine Natural Park (2010–2023) in the Iroise Sea, North Atlantic
Laetitia Drago
CORRESPONDING AUTHOR
Sorbonne Université, MNHN, CNRS, IRD, Laboratoire d'Océanographie et du Climat: Expérimentations et Approches Numériques, LOCEAN, 75005 Paris, France
Caroline Cailliau
Parc naturel marin d'Iroise, Office Français de la Biodiversité, Le Conquet, France
Patrick Pouline
Parc naturel marin d'Iroise, Office Français de la Biodiversité, Le Conquet, France
Béatriz Beker
Laboratoire des Sciences de l'Environnement MARin (LEMAR), UMR 6539, Université de Bretagne Occidentale, Plouzané, France
Laëtitia Jalabert
Sorbonne Université, CNRS, Institut de la Mer de Villefranche, IMEV, 06230 Villefranche-sur-Mer, France
Jean-Baptiste Romagnan
DECOD, L'Institut Agro, IFREMER, INRAE, 44000 Nantes, France
Sakina-Dorothée Ayata
CORRESPONDING AUTHOR
Sorbonne Université, MNHN, CNRS, IRD, Laboratoire d'Océanographie et du Climat: Expérimentations et Approches Numériques, LOCEAN, 75005 Paris, France
Institut Universitaire de France, 75005 Paris, France
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Short summary
This study presents a long-term monitoring dataset (2010–2023) from the Iroise Marine Natural Park, a French marine protected area in the NE Atlantic. It includes environmental parameters (temperature, salinity), microscopy-based phytoplankton counts, and zooplankton abundances and biovolumes estimated from imaging data. Two transects and three coastal stations were sampled seasonally, capturing spatial–temporal dynamics. This datasets offers new opportunities to study plankton diversity.
This study presents a long-term monitoring dataset (2010–2023) from the Iroise Marine Natural...
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