Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-1173-2025
© 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-17-1173-2025
© 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
| 
20 Mar 2025
Data description paper |
| 20 Mar 2025
| 20 Mar 2025
A 45-year hydrological and planktonic time series in the South Bight of the North Sea
IFREMER, Unité COAST, 150 Quai Gambetta, 62321 Boulogne-sur-Mer, France
Guillaume Wacquet
IFREMER, Unité COAST, 150 Quai Gambetta, 62321 Boulogne-sur-Mer, France
Alain Lefebvre
IFREMER, Unité COAST, 150 Quai Gambetta, 62321 Boulogne-sur-Mer, France
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The Suivi Regional des Nutriments (SRN) data set includes long-term time series on marine phytoplankton and physicochemical measures in the eastern English Channel and the Southern Bight of the North Sea. These data sets should be useful for comparing contrasted coastal marine ecosystems to further knowledge about the direct and indirect effects of human pressures and environmental changes on ecosystem structure and function, including eutrophication and harmful algal bloom issues.
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By deploying an automated flow cytometer at a coastal monitoring station in France, we tracked phytoplankton changes every 2 h during spring (2021 and 2022) and summer (2022). Our study revealed distinct seasonal shifts, e.g., with diatoms and haptophytes in spring. Rare weather events rapidly altered community composition. We found that most variability occurred on short timescales, underscoring the importance of high-frequency monitoring for understanding marine phytoplankton dynamics.
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This article describes a long-term (2004–2022) dataset from an in situ instrumented station located in the eastern English Channel and belonging to the COAST-HF network (ILICO). It provides high temporal resolution (sub-hourly) oceanographic and meteorological measurements. The MAREL Carnot dataset can be used to conduct research in marine ecology, oceanography, and data science. It was utilized to characterize recurrent, rare, and extreme events in the coastal area.
Alain Lefebvre and David Devreker
Earth Syst. Sci. Data, 15, 1077–1092, https://doi.org/10.5194/essd-15-1077-2023, https://doi.org/10.5194/essd-15-1077-2023, 2023
Short summary
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The Suivi Regional des Nutriments (SRN) data set includes long-term time series on marine phytoplankton and physicochemical measures in the eastern English Channel and the Southern Bight of the North Sea. These data sets should be useful for comparing contrasted coastal marine ecosystems to further knowledge about the direct and indirect effects of human pressures and environmental changes on ecosystem structure and function, including eutrophication and harmful algal bloom issues.
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Short summary
This article presents a 45-year data series (1978–2023) acquired in the South Bight of the North Sea. It provides an overview of the main statistical characteristics of time series (hydrological parameters and plankton species), including long-term trends and shift analysis. The aim of this paper is to make this valuable dataset available to help decipher the local and global influences of anthropogenic activities in a world increasingly affected by climate change.
This article presents a 45-year data series (1978–2023) acquired in the South Bight of the North...
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