Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-493-2025
© 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-17-493-2025
© 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
| 
06 Feb 2025
Data description paper |
| 06 Feb 2025
| 06 Feb 2025
A compilation of surface inherent optical properties and phytoplankton pigment concentrations from the Atlantic Meridional Transect
Plymouth Marine Laboratory, Plymouth, UK
Giorgio Dall'Olmo
CORRESPONDING AUTHOR
Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Trieste, Italy
Gavin Tilstone
Plymouth Marine Laboratory, Plymouth, UK
Robert J. W. Brewin
Centre for Geography and Environmental Science, University of Exeter, Penryn, UK
Francesco Nencioli
Collecte Localisation Satellites, Toulouse, France
Ruth Airs
Plymouth Marine Laboratory, Plymouth, UK
Crystal S. Thomas
NASA Goddard Space Flight Center, Greenbelt, USA
Louise Schlüter
DHI – Water and Environment, Hørsholm, Denmark
Related authors
Michael A. Cooper, Thomas M. Jordan, Dustin M. Schroeder, Martin J. Siegert, Christopher N. Williams, and Jonathan L. Bamber
The Cryosphere, 13, 3093–3115, https://doi.org/10.5194/tc-13-3093-2019, https://doi.org/10.5194/tc-13-3093-2019, 2019
Thomas M. Jordan, Christopher N. Williams, Dustin M. Schroeder, Yasmina M. Martos, Michael A. Cooper, Martin J. Siegert, John D. Paden, Philippe Huybrechts, and Jonathan L. Bamber
The Cryosphere, 12, 2831–2854, https://doi.org/10.5194/tc-12-2831-2018, https://doi.org/10.5194/tc-12-2831-2018, 2018
Short summary
Short summary
Here, via analysis of radio-echo sounding data, we place a new observational constraint upon the basal water distribution beneath the Greenland Ice Sheet. In addition to the outlet glaciers, we demonstrate widespread water storage in the northern and eastern ice-sheet interior, a notable feature being a "corridor" of basal water extending from NorthGRIP to Petermann Glacier. The basal water distribution and its relationship with basal temperature provides a new constraint for numerical models.
Thomas M. Jordan, Michael A. Cooper, Dustin M. Schroeder, Christopher N. Williams, John D. Paden, Martin J. Siegert, and Jonathan L. Bamber
The Cryosphere, 11, 1247–1264, https://doi.org/10.5194/tc-11-1247-2017, https://doi.org/10.5194/tc-11-1247-2017, 2017
Short summary
Short summary
Using radio-echo sounding data from northern Greenland, we demonstrate that subglacial roughness exhibits self-affine (fractal) scaling behaviour. This enables us to assess topographic control upon the bed-echo waveform, and explain the spatial distribution of the degree of scattering (specular and diffuse reflections). Via comparison with a prediction for the basal thermal state (thawed and frozen regions of the bed) we discuss the consequences of our study for basal water discrimination.
Christopher N. Williams, Stephen L. Cornford, Thomas M. Jordan, Julian A. Dowdeswell, Martin J. Siegert, Christopher D. Clark, Darrel A. Swift, Andrew Sole, Ian Fenty, and Jonathan L. Bamber
The Cryosphere, 11, 363–380, https://doi.org/10.5194/tc-11-363-2017, https://doi.org/10.5194/tc-11-363-2017, 2017
Short summary
Short summary
Knowledge of ice sheet bed topography and surrounding sea floor bathymetry is integral to the understanding of ice sheet processes. Existing elevation data products for Greenland underestimate fjord bathymetry due to sparse data availability. We present a new method to create physically based synthetic fjord bathymetry to fill these gaps, greatly improving on previously available datasets. This will assist in future elevation product development until further observations become available.
T. M. Jordan, J. L. Bamber, C. N. Williams, J. D. Paden, M. J. Siegert, P. Huybrechts, O. Gagliardini, and F. Gillet-Chaulet
The Cryosphere, 10, 1547–1570, https://doi.org/10.5194/tc-10-1547-2016, https://doi.org/10.5194/tc-10-1547-2016, 2016
Short summary
Short summary
Ice penetrating radar enables determination of the basal properties of ice sheets. Existing algorithms assume stationarity in the attenuation rate, which is not justifiable at an ice sheet scale. We introduce the first ice-sheet-wide algorithm for radar attenuation that incorporates spatial variability, using the temperature field from a numerical model as an initial guess. The study is a step toward ice-sheet-wide data products for basal properties and evaluation of model temperature fields.
Daniel J. Ford, Jamie D. Shutler, Katy L. Sheen, Gavin H. Tilstone, and Vassilis Kitidis
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-463, https://doi.org/10.5194/essd-2025-463, 2025
Preprint under review for ESSD
Short summary
Short summary
Mesoscale eddies are abundant in the global oceans affect the physical, chemical and biological properties of the ocean. These changes can modify the air-sea CO2 fluxes. Here, we present a dataset of air-sea CO2 fluxes for 5996 long lived mesoscale eddies trajectories in the global ocean between 1993 to 2022. These trajectories can be used to understand the processes modifying and controlling the air-sea CO2 fluxes in mesoscale eddies which are supported by a comprehensive uncertainty budget.
Qi Zheng, Johannes J. Viljoen, Xuerong Sun, Žarko Kovač, Shubha Sathyendranath, and Robert J. W. Brewin
Biogeosciences, 22, 3253–3278, https://doi.org/10.5194/bg-22-3253-2025, https://doi.org/10.5194/bg-22-3253-2025, 2025
Short summary
Short summary
Phytoplankton contribute to half of Earth’s primary production, but not a lot is known about subsurface phytoplankton, living at the base of the sunlit ocean. We develop a two-layered box model to simulate phytoplankton seasonal and interannual variations in different depth layers of the ocean. Our model captures seasonal and long-term trends of the two layers, explaining how they respond to a warming ocean, furthering our understanding of how phytoplankton are responding to climate change.
Andrea J. McEvoy, Angus Atkinson, Ruth L. Airs, Rachel Brittain, Ian Brown, Elaine S. Fileman, Helen S. Findlay, Caroline L. McNeill, Clare Ostle, Tim J. Smyth, Paul J. Somerfield, Karen Tait, Glen A. Tarran, Simon Thomas, Claire E. Widdicombe, E. Malcolm S. Woodward, Amanda Beesley, David V. P. Conway, James Fishwick, Hannah Haines, Carolyn Harris, Roger Harris, Pierre Hélaouët, David Johns, Penelope K. Lindeque, Thomas Mesher, Abigail McQuatters-Gollop, Joana Nunes, Frances Perry, Ana M. Queiros, Andrew Rees, Saskia Rühl, David Sims, Ricardo Torres, and Stephen Widdicombe
Earth Syst. Sci. Data, 15, 5701–5737, https://doi.org/10.5194/essd-15-5701-2023, https://doi.org/10.5194/essd-15-5701-2023, 2023
Short summary
Short summary
Western Channel Observatory is an oceanographic time series and biodiversity reference site within 40 km of Plymouth (UK), sampled since 1903. Differing levels of reporting and formatting hamper the use of the valuable individual datasets. We provide the first summary database as monthly averages where comparisons can be made of the physical, chemical and biological data. We describe the database, illustrate its utility to examine seasonality and longer-term trends, and summarize previous work.
Martine Lizotte, Bennet Juhls, Atsushi Matsuoka, Philippe Massicotte, Gaëlle Mével, David Obie James Anikina, Sofia Antonova, Guislain Bécu, Marine Béguin, Simon Bélanger, Thomas Bossé-Demers, Lisa Bröder, Flavienne Bruyant, Gwénaëlle Chaillou, Jérôme Comte, Raoul-Marie Couture, Emmanuel Devred, Gabrièle Deslongchamps, Thibaud Dezutter, Miles Dillon, David Doxaran, Aude Flamand, Frank Fell, Joannie Ferland, Marie-Hélène Forget, Michael Fritz, Thomas J. Gordon, Caroline Guilmette, Andrea Hilborn, Rachel Hussherr, Charlotte Irish, Fabien Joux, Lauren Kipp, Audrey Laberge-Carignan, Hugues Lantuit, Edouard Leymarie, Antonio Mannino, Juliette Maury, Paul Overduin, Laurent Oziel, Colin Stedmon, Crystal Thomas, Lucas Tisserand, Jean-Éric Tremblay, Jorien Vonk, Dustin Whalen, and Marcel Babin
Earth Syst. Sci. Data, 15, 1617–1653, https://doi.org/10.5194/essd-15-1617-2023, https://doi.org/10.5194/essd-15-1617-2023, 2023
Short summary
Short summary
Permafrost thaw in the Mackenzie Delta region results in the release of organic matter into the coastal marine environment. What happens to this carbon-rich organic matter as it transits along the fresh to salty aquatic environments is still underdocumented. Four expeditions were conducted from April to September 2019 in the coastal area of the Beaufort Sea to study the fate of organic matter. This paper describes a rich set of data characterizing the composition and sources of organic matter.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Thomas Jackson, Andrei Chuprin, Malcolm Taberner, Ruth Airs, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Robert J. W. Brewin, Elisabetta Canuti, Francisco P. Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Afonso Ferreira, Scott Freeman, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Ralf Goericke, Richard Gould, Nathalie Guillocheau, Stanford B. Hooker, Chuamin Hu, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Steven Lohrenz, Hubert Loisel, Antonio Mannino, Victor Martinez-Vicente, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Enrique Montes, Frank Muller-Karger, Aimee Neeley, Michael Novak, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Rüdiger Röttgers, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Crystal Thomas, Rob Thomas, Gavin Tilstone, Andreia Tracana, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Bozena Wojtasiewicz, Simon Wright, and Giuseppe Zibordi
Earth Syst. Sci. Data, 14, 5737–5770, https://doi.org/10.5194/essd-14-5737-2022, https://doi.org/10.5194/essd-14-5737-2022, 2022
Short summary
Short summary
A compiled set of in situ data is vital to evaluate the quality of ocean-colour satellite data records. Here we describe the global compilation of bio-optical in situ data (spanning from 1997 to 2021) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
Elise S. Droste, Mario Hoppema, Melchor González-Dávila, Juana Magdalena Santana-Casiano, Bastien Y. Queste, Giorgio Dall'Olmo, Hugh J. Venables, Gerd Rohardt, Sharyn Ossebaar, Daniel Schuller, Sunke Trace-Kleeberg, and Dorothee C. E. Bakker
Ocean Sci., 18, 1293–1320, https://doi.org/10.5194/os-18-1293-2022, https://doi.org/10.5194/os-18-1293-2022, 2022
Short summary
Short summary
Tides affect the marine carbonate chemistry of a coastal polynya neighbouring the Ekström Ice Shelf by movement of seawater with different physical and biogeochemical properties. The result is that the coastal polynya in the summer can switch between being a sink or a source of CO2 multiple times a day. We encourage consideration of tides when collecting in polar coastal regions to account for tide-driven variability and to avoid overestimations or underestimations of air–sea CO2 exchange.
Daniel J. Ford, Gavin H. Tilstone, Jamie D. Shutler, and Vassilis Kitidis
Biogeosciences, 19, 4287–4304, https://doi.org/10.5194/bg-19-4287-2022, https://doi.org/10.5194/bg-19-4287-2022, 2022
Short summary
Short summary
This study explores the seasonal, inter-annual, and multi-year drivers of the South Atlantic air–sea CO2 flux. Our analysis showed seasonal sea surface temperatures dominate in the subtropics, and the subpolar regions correlated with biological processes. Inter-annually, the El Niño–Southern Oscillation correlated with the CO2 flux by modifying sea surface temperatures and biological activity. Long-term trends indicated an important biological contribution to changes in the air–sea CO2 flux.
James P. J. Ward, Katharine R. Hendry, Sandra Arndt, Johan C. Faust, Felipe S. Freitas, Sian F. Henley, Jeffrey W. Krause, Christian März, Allyson C. Tessin, and Ruth L. Airs
Biogeosciences, 19, 3445–3467, https://doi.org/10.5194/bg-19-3445-2022, https://doi.org/10.5194/bg-19-3445-2022, 2022
Short summary
Short summary
The seafloor plays an important role in the cycling of silicon (Si), a key nutrient that promotes marine primary productivity. In our model study, we disentangle major controls on the seafloor Si cycle to better anticipate the impacts of continued warming and sea ice melt in the Barents Sea. We uncover a coupling of the iron redox and Si cycles, dissolution of lithogenic silicates, and authigenic clay formation, comprising a Si sink that could have implications for the Arctic Ocean Si budget.
Daniel J. Ford, Gavin H. Tilstone, Jamie D. Shutler, and Vassilis Kitidis
Biogeosciences, 19, 93–115, https://doi.org/10.5194/bg-19-93-2022, https://doi.org/10.5194/bg-19-93-2022, 2022
Short summary
Short summary
This study identifies the most accurate biological proxy for the estimation of seawater pCO2 fields, which are key to assessing the ocean carbon sink. Our analysis shows that the net community production (NCP), the balance between photosynthesis and respiration, was more accurate than chlorophyll a within a neural network scheme. The improved pCO2 estimates, based on NCP, identified the South Atlantic Ocean as a net CO2 source, compared to a CO2 sink using chlorophyll a.
Sebastian Landwehr, Michele Volpi, F. Alexander Haumann, Charlotte M. Robinson, Iris Thurnherr, Valerio Ferracci, Andrea Baccarini, Jenny Thomas, Irina Gorodetskaya, Christian Tatzelt, Silvia Henning, Rob L. Modini, Heather J. Forrer, Yajuan Lin, Nicolas Cassar, Rafel Simó, Christel Hassler, Alireza Moallemi, Sarah E. Fawcett, Neil Harris, Ruth Airs, Marzieh H. Derkani, Alberto Alberello, Alessandro Toffoli, Gang Chen, Pablo Rodríguez-Ros, Marina Zamanillo, Pau Cortés-Greus, Lei Xue, Conor G. Bolas, Katherine C. Leonard, Fernando Perez-Cruz, David Walton, and Julia Schmale
Earth Syst. Dynam., 12, 1295–1369, https://doi.org/10.5194/esd-12-1295-2021, https://doi.org/10.5194/esd-12-1295-2021, 2021
Short summary
Short summary
The Antarctic Circumnavigation Expedition surveyed a large number of variables describing the dynamic state of ocean and atmosphere, freshwater cycle, atmospheric chemistry, ocean biogeochemistry, and microbiology in the Southern Ocean. To reduce the dimensionality of the dataset, we apply a sparse principal component analysis and identify temporal patterns from diurnal to seasonal cycles, as well as geographical gradients and
hotspotsof interaction. Code and data are open access.
Michael A. Cooper, Thomas M. Jordan, Dustin M. Schroeder, Martin J. Siegert, Christopher N. Williams, and Jonathan L. Bamber
The Cryosphere, 13, 3093–3115, https://doi.org/10.5194/tc-13-3093-2019, https://doi.org/10.5194/tc-13-3093-2019, 2019
Thomas M. Jordan, Christopher N. Williams, Dustin M. Schroeder, Yasmina M. Martos, Michael A. Cooper, Martin J. Siegert, John D. Paden, Philippe Huybrechts, and Jonathan L. Bamber
The Cryosphere, 12, 2831–2854, https://doi.org/10.5194/tc-12-2831-2018, https://doi.org/10.5194/tc-12-2831-2018, 2018
Short summary
Short summary
Here, via analysis of radio-echo sounding data, we place a new observational constraint upon the basal water distribution beneath the Greenland Ice Sheet. In addition to the outlet glaciers, we demonstrate widespread water storage in the northern and eastern ice-sheet interior, a notable feature being a "corridor" of basal water extending from NorthGRIP to Petermann Glacier. The basal water distribution and its relationship with basal temperature provides a new constraint for numerical models.
Heather A. Bouman, Trevor Platt, Martina Doblin, Francisco G. Figueiras, Kristinn Gudmundsson, Hafsteinn G. Gudfinnsson, Bangqin Huang, Anna Hickman, Michael Hiscock, Thomas Jackson, Vivian A. Lutz, Frédéric Mélin, Francisco Rey, Pierre Pepin, Valeria Segura, Gavin H. Tilstone, Virginie van Dongen-Vogels, and Shubha Sathyendranath
Earth Syst. Sci. Data, 10, 251–266, https://doi.org/10.5194/essd-10-251-2018, https://doi.org/10.5194/essd-10-251-2018, 2018
Short summary
Short summary
The photosynthetic response of marine phytoplankton to available irradiance is a central part of satellite-based models of ocean productivity. This study brings together data from a variety of oceanographic campaigns to examine how the parameters of photosynthesis–irradiance response curves vary over the global ocean. This global synthesis reveals biogeographic, latitudinal and depth-dependent patterns in the photosynthetic properties of natural phytoplankton assemblages.
Thomas M. Jordan, Michael A. Cooper, Dustin M. Schroeder, Christopher N. Williams, John D. Paden, Martin J. Siegert, and Jonathan L. Bamber
The Cryosphere, 11, 1247–1264, https://doi.org/10.5194/tc-11-1247-2017, https://doi.org/10.5194/tc-11-1247-2017, 2017
Short summary
Short summary
Using radio-echo sounding data from northern Greenland, we demonstrate that subglacial roughness exhibits self-affine (fractal) scaling behaviour. This enables us to assess topographic control upon the bed-echo waveform, and explain the spatial distribution of the degree of scattering (specular and diffuse reflections). Via comparison with a prediction for the basal thermal state (thawed and frozen regions of the bed) we discuss the consequences of our study for basal water discrimination.
Christopher N. Williams, Stephen L. Cornford, Thomas M. Jordan, Julian A. Dowdeswell, Martin J. Siegert, Christopher D. Clark, Darrel A. Swift, Andrew Sole, Ian Fenty, and Jonathan L. Bamber
The Cryosphere, 11, 363–380, https://doi.org/10.5194/tc-11-363-2017, https://doi.org/10.5194/tc-11-363-2017, 2017
Short summary
Short summary
Knowledge of ice sheet bed topography and surrounding sea floor bathymetry is integral to the understanding of ice sheet processes. Existing elevation data products for Greenland underestimate fjord bathymetry due to sparse data availability. We present a new method to create physically based synthetic fjord bathymetry to fill these gaps, greatly improving on previously available datasets. This will assist in future elevation product development until further observations become available.
T. M. Jordan, J. L. Bamber, C. N. Williams, J. D. Paden, M. J. Siegert, P. Huybrechts, O. Gagliardini, and F. Gillet-Chaulet
The Cryosphere, 10, 1547–1570, https://doi.org/10.5194/tc-10-1547-2016, https://doi.org/10.5194/tc-10-1547-2016, 2016
Short summary
Short summary
Ice penetrating radar enables determination of the basal properties of ice sheets. Existing algorithms assume stationarity in the attenuation rate, which is not justifiable at an ice sheet scale. We introduce the first ice-sheet-wide algorithm for radar attenuation that incorporates spatial variability, using the temperature field from a numerical model as an initial guess. The study is a step toward ice-sheet-wide data products for basal properties and evaluation of model temperature fields.
J. Gloël, C. Robinson, G. H. Tilstone, G. Tarran, and J. Kaiser
Ocean Sci., 11, 947–952, https://doi.org/10.5194/os-11-947-2015, https://doi.org/10.5194/os-11-947-2015, 2015
Short summary
Short summary
We assess benzalkonium chloride (BAC) as alternative to mercuric chloride (HgCl2) for preservation of seawater samples. BAC concentrations of 50mg dm–3 inhibited microbial activity for at least 3 days in samples tested with chlorophyll a concentrations up to 1mg m–3. With fewer risks to health and environment, and lower waste disposal costs, BAC could be a short-term alternative to HgCl2, but cannot replace it for oxygen triple isotope samples, which require storage over weeks to months.
B. Nechad, K. Ruddick, T. Schroeder, K. Oubelkheir, D. Blondeau-Patissier, N. Cherukuru, V. Brando, A. Dekker, L. Clementson, A. C. Banks, S. Maritorena, P. J. Werdell, C. Sá, V. Brotas, I. Caballero de Frutos, Y.-H. Ahn, S. Salama, G. Tilstone, V. Martinez-Vicente, D. Foley, M. McKibben, J. Nahorniak, T. Peterson, A. Siliò-Calzada, R. Röttgers, Z. Lee, M. Peters, and C. Brockmann
Earth Syst. Sci. Data, 7, 319–348, https://doi.org/10.5194/essd-7-319-2015, https://doi.org/10.5194/essd-7-319-2015, 2015
Short summary
Short summary
The CoastColour Round Robin (CCRR) project (European Space Agency) was designed to set up the first database for remote-sensing algorithm testing and accuracy assessment of water quality parameter retrieval in coastal waters, from satellite imagery. This paper analyses the CCRR database, which includes in situ bio-geochemical and optical measurements in various water types, match-up reflectance products from the MEdium Resolution Imaging Spectrometer (MERIS), and radiative transfer simulations.
F. d'Ovidio, A. Della Penna, T. W. Trull, F. Nencioli, M.-I. Pujol, M.-H. Rio, Y.-H. Park, C. Cotté, M. Zhou, and S. Blain
Biogeosciences, 12, 5567–5581, https://doi.org/10.5194/bg-12-5567-2015, https://doi.org/10.5194/bg-12-5567-2015, 2015
Short summary
Short summary
Field campaigns are instrumental in providing ground truth for understanding and modeling global ocean biogeochemical budgets. A survey however can only inspect a fraction of the global oceans, typically a region hundreds of kilometers wide for a temporal window of the order of (at most) several weeks. In this spatiotemporal domain, mesoscale variability can mask climatological contrasts. Here we propose the use of multisatellite-based Lagrangian diagnostics to solve this issue.
Related subject area
Domain: ESSD – Ocean | Subject: Biological oceanography
Quantitative imaging datasets of surface micro- to mesoplankton communities and microplastic across the Pacific and North Atlantic oceans from the Tara Pacific expedition
Fish functional groups of the North Atlantic and Arctic oceans
Satellite-derived global-ocean phytoplankton phenology indices
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
Hyperspectral library of submerged aquatic vegetation and benthic substrates in the Baltic Sea
High resolution acoustic recordings of wild free-ranging short-beaked common dolphins for etho-acoustical and repertoire studies
Long-Term Monitoring of Hydrological Dynamics and Phytoplankton Biomass Indicator in Three Shellfish Ecosystems of the English Channel (2000–2024)
A 45-year hydrological and planktonic time series in the South Bight of the North Sea
Bivalve monitoring over French coasts: multi-decadal records of carbon and nitrogen elemental and isotopic ratios as ecological indicators of global change
A comprehensive global mapping of offshore lighting
A hyperspectral and multi-angular synthetic dataset for algorithm development in waters of varying trophic levels and optical complexity
Global biogeography of N2-fixing microbes: nifH amplicon database and analytics workflow
Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and/or harmful algae
AIGD-PFT: the first AI-driven global daily gap-free 4 km phytoplankton functional type data product from 1998 to 2023
Early-life dispersal traits of coastal fishes: an extensive database combining observations and growth models
An update of data compilation on the biological response to ocean acidification and overview of the OA-ICC data portal
First release of the Pelagic Size Structure database: global datasets of marine size spectra obtained from plankton imaging devices
Metazoan zooplankton in the Bay of Biscay: a 16-year record of individual sizes and abundances obtained using the ZooScan and ZooCAM imaging systems
PANABIO: a point-referenced PAN-Arctic data collection of benthic BIOtas
The Western Channel Observatory: a century of physical, chemical and biological data compiled from pelagic and benthic habitats in the western English Channel
A global daily gap-filled chlorophyll-a dataset in open oceans during 2001–2021 from multisource information using convolutional neural networks
A new global oceanic multi-model net primary productivity data product
MAREL Carnot data and metadata from the Coriolis data center
Bio-optical properties of the cyanobacterium Nodularia spumigena
An atlas of seabed biodiversity for Aotearoa New Zealand
A synthetic optical database generated by radiative transfer simulations in support of studies in ocean optics and optical remote sensing of the global ocean
The Coastal Surveillance Through Observation of Ocean Color (COASTℓOOC) dataset
HIPPO environmental monitoring: impact of phytoplankton dynamics on water column chemistry and the sclerochronology of the king scallop (Pecten maximus) as a biogenic archive for past primary production reconstructions
AlgaeTraits: a trait database for (European) seaweeds
How to learn more about hydrological conditions and phytoplankton dynamics and diversity in the eastern English Channel and the Southern Bight of the North Sea: the Suivi Régional des Nutriments data set (1992–2021)
Deepwater red shrimp fishery in the eastern–central Mediterranean Sea: AIS-observed monthly fishing effort and frequency over 4 years
Global dataset on seagrass meadow structure, biomass and production
The Green Edge cruise: investigating the marginal ice zone processes during late spring and early summer to understand the fate of the Arctic phytoplankton bloom
A global marine particle size distribution dataset obtained with the Underwater Vision Profiler 5
The COSMUS expedition: seafloor images and acoustic bathymetric data from the PS124 expedition to the southern Weddell Sea, Antarctica
Zoé Mériguet, Guillaume Bourdin, Nathaniel Kristan, Laetitia Jalabert, Olivier Bun, Marc Picheral, Louis Caray-Counil, Juliette Maury, Maria-Luiza Pedrotti, Amanda Elineau, David A. Paz-Garcia, Lee Karp-Boss, Gaby Gorsky, Fabien Lombard, and the Tara Pacific Consortium Coordinators team
Earth Syst. Sci. Data, 17, 2761–2792, https://doi.org/10.5194/essd-17-2761-2025, https://doi.org/10.5194/essd-17-2761-2025, 2025
Short summary
Short summary
This study presents imaging datasets from the Tara Pacific expedition, covering multiple plankton sizes and a wide sampling area in Pacific waters. By sampling both open-ocean and island areas, these data can show how plankton size, diversity and abundance change with different environments. We also highlight the usefulness of high-speed plankton sampling when it is not possible to slow the boat during sailing as well as the value of this technique with respect to extending the sampling coverage and frequency.
Murray S. A. Thompson, Izaskun Preciado, Federico Maioli, Valerio Bartolino, Andrea Belgrano, Michele Casini, Pierre Cresson, Elena Eriksen, Gema Hernandez-Milian, Ingibjörg G. Jónsdóttir, Stefan Neuenfeldt, John K. Pinnegar, Stefán Ragnarsson, Sabine Schückel, Ulrike Schückel, Brian E. Smith, María Ángeles Torres, Thomas J. Webb, and Christopher P. Lynam
Earth Syst. Sci. Data, 17, 2447–2462, https://doi.org/10.5194/essd-17-2447-2025, https://doi.org/10.5194/essd-17-2447-2025, 2025
Short summary
Short summary
Detecting and predicting change in the structure and functioning of marine food webs is a priority for Earth system science. We collated fish stomach content data to improve understanding of feeding interactions for the North Atlantic and Arctic oceans. To illustrate how these data can be used, we estimate species- and size-specific feeding traits, classify predators into functional feeding groups, and reveal spatially extensive temporal change in marine ecosystem structure and functioning.
Sarah-Anne Nicholson, Thomas J. Ryan-Keogh, Sandy J. Thomalla, Nicolette Chang, and Marié E. Smith
Earth Syst. Sci. Data, 17, 1959–1975, https://doi.org/10.5194/essd-17-1959-2025, https://doi.org/10.5194/essd-17-1959-2025, 2025
Short summary
Short summary
The annual widespread growth of phytoplankton blooms across the global ocean has far-reaching impacts on food security, ecosystem health, and climate. This study uses satellite-derived observations to generate long-term, sustained indices of phytoplankton phenology, capturing the timing, variability, and magnitude of blooms across the global ocean. These indices support the effective monitoring and management of marine resources and help assess the impacts of climate change on ocean ecosystems.
Laetitia Drago, Caroline Cailliau, Patrick Pouline, Beatriz Beker, Laëtitia Jalabert, Jean-Baptiste Romagnan, and Sakina-Dorothée Ayata
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-207, https://doi.org/10.5194/essd-2025-207, 2025
Revised manuscript accepted for ESSD
Short summary
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.
Ele Vahtmäe, Laura Argus, Kaire Toming, Martin Ligi, and Tiit Kutser
Earth Syst. Sci. Data, 17, 1685–1692, https://doi.org/10.5194/essd-17-1685-2025, https://doi.org/10.5194/essd-17-1685-2025, 2025
Short summary
Short summary
We compiled a dataset of reflectance measurements for a variety of benthic macrophyte species and substrate types occurring naturally in the Baltic Sea. This dataset provides insights into the spectral properties of macrophyte species characteristic of the temperate geographic region. Such information is often lacking in the data format, while it is essential for developing remote sensing algorithms, classifying images, and defining requirements for future remote sensing missions.
Loïc Lehnhoff, Hervé Glotin, Yves Le Gall, Eric Menut, Hélène Peltier, Jérôme Spitz, Olivier Van Canneyt, and Bastien Mérigot
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-193, https://doi.org/10.5194/essd-2025-193, 2025
Revised manuscript accepted for ESSD
Short summary
Short summary
This article presents the first open-access dataset of wild short-beaked common dolphins recordings. It was collected at sea in the Bay of Biscay (France) and comprises audio recordings of echolocation clicks, whistles and other social sounds, as well as visual observations of dolphin behaviour. This dataset could be used to improve the comprehension of dolphin communication by scientists, which could assist in the development of conservation strategies, particularly with regard to by-catches.
Julia Sosinski, Stéphanie Petinay, and Jean-Louis Blin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-155, https://doi.org/10.5194/essd-2025-155, 2025
Revised manuscript accepted for ESSD
Short summary
Short summary
This study analyzes 24 years of coastal monitoring in Normandy (Blainville-sur-Mer, Saint-Vaast-la-Hougue, Utah Beach), assessing climate change and human impact. Results show rising winter temperatures since 2013, increasing acidification at Blainville-sur-Mer, and nutrient shifts, with high ammonium in the East and declining phosphates. Nutrient limitations vary by coast. Findings emphasize the need for better nutrient management to sustain ecosystems and aquaculture amid environmental change.
David Devreker, Guillaume Wacquet, and Alain Lefebvre
Earth Syst. Sci. Data, 17, 1173–1189, https://doi.org/10.5194/essd-17-1173-2025, https://doi.org/10.5194/essd-17-1173-2025, 2025
Short summary
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.
Camilla Liénart, Alan Fournioux, Andrius Garbaras, Hugues Blanchet, Nicolas Briant, Stanislas F. Dubois, Aline Gangnery, Anne Grouhel Pellouin, Pauline Le Monier, Arnaud Lheureux, Xavier de Montaudouin, and Nicolas Savoye
Earth Syst. Sci. Data, 17, 799–815, https://doi.org/10.5194/essd-17-799-2025, https://doi.org/10.5194/essd-17-799-2025, 2025
Short summary
Short summary
Bivalves such as mussels and oysters reflect the quality of the environment by filtering ambient water. We measured carbon and nitrogen chemical composition in bivalve tissues from 33 sites along French coastlines sampled since the 1980s. Thanks to such time series, this dataset allows us to track how marine species record changing climate, physical–chemical environment, and organic matter cycles and provide precious information on the coastal ecosystem response to global change.
Christopher D. Elvidge, Tilottama Ghosh, Namrata Chatterjee, Mikhail Zhizhin, Paul C. Sutton, and Morgan Bazilian
Earth Syst. Sci. Data, 17, 579–594, https://doi.org/10.5194/essd-17-579-2025, https://doi.org/10.5194/essd-17-579-2025, 2025
Short summary
Short summary
We present the first comprehensive map of offshore lighting derived from low-light imaging satellite data. The empty sea provides a dark and uniform canvas upon which light detections can be aggregated for extended periods to reveal human lighting structures. The form of the structures only becomes apparent when data from 1 or more years are accumulated. Identifiable structures include fishing grounds, platforms, gas flares, anchorages, and transportation routes.
Jaime Pitarch and Vittorio Ernesto Brando
Earth Syst. Sci. Data, 17, 435–460, https://doi.org/10.5194/essd-17-435-2025, https://doi.org/10.5194/essd-17-435-2025, 2025
Short summary
Short summary
This research presents a comprehensive synthetic dataset of bio-optical properties and radiometric quantities in the optical domain, resolved for all sun-view angular combinations, from ultraviolet to visible light, that provide aid in the development of satellite algorithms, including directional problems. The dataset will significantly enhance research on light behavior in water and support future hyperspectral missions. It has been made publicly available on Zenodo.
Michael Morando, Jonathan D. Magasin, Shunyan Cheung, Matthew M. Mills, Jonathan P. Zehr, and Kendra A. Turk-Kubo
Earth Syst. Sci. Data, 17, 393–422, https://doi.org/10.5194/essd-17-393-2025, https://doi.org/10.5194/essd-17-393-2025, 2025
Short summary
Short summary
Nitrogen is crucial in ocean food webs, but only some microbes can fix N2 gas into a bioavailable form. Most are known only by their nifH gene sequence. We created a software workflow for nifH data and ran it on 944 ocean samples, producing a database (DB) that captures the global diversity of N2-fixing marine microbes and the environmental factors that influence them. The workflow and DB can standardize analyses of past and future nifH datasets to enable insights into marine communities.
Nicolas Schiffrine, Fatma Dhifallah, Kaven Dionne, Michel Poulin, Sylvie Lessard, André Rochon, and Michel Gosselin
Earth Syst. Sci. Data, 16, 5681–5701, https://doi.org/10.5194/essd-16-5681-2024, https://doi.org/10.5194/essd-16-5681-2024, 2024
Short summary
Short summary
Growing concern arises in the Arctic Ocean as toxic and harmful phytoplankton emerge due to climate change. The potential surge in these occurrences threatens both human health and the Arctic ecosystem. Our ongoing research yields insights into spatial patterns and biodiversity, challenging the belief that the Arctic is unsuitable for toxic and harmful algal events. This work underscores the need to comprehend and address the ecological impact of these emerging species in the Arctic environment.
Yuan Zhang, Fang Shen, Renhu Li, Mengyu Li, Zhaoxin Li, Songyu Chen, and Xuerong Sun
Earth Syst. Sci. Data, 16, 4793–4816, https://doi.org/10.5194/essd-16-4793-2024, https://doi.org/10.5194/essd-16-4793-2024, 2024
Short summary
Short summary
This work describes AIGD-PFT, the first AI-driven global daily gap-free 4 km phytoplankton functional type (PFT) product from 1998 to 2023. AIGD-PFT enhances the accuracy and spatiotemporal coverage quantification of eight major PFTs (i.e. diatoms, dinoflagellates, haptophytes, pelagophytes, cryptophytes, green algae, prokaryotes, and Prochlorococcus).
Marine Di Stefano, David Nerini, Itziar Alvarez, Giandomenico Ardizzone, Patrick Astruch, Gotzon Basterretxea, Aurélie Blanfuné, Denis Bonhomme, Antonio Calò, Ignacio Catalan, Carlo Cattano, Adrien Cheminée, Romain Crec'hriou, Amalia Cuadros, Antonio Di Franco, Carlos Diaz-Gil, Tristan Estaque, Robin Faillettaz, Fabiana C. Félix-Hackradt, José Antonio Garcia-Charton, Paolo Guidetti, Loïc Guilloux, Jean-Georges Harmelin, Mireille Harmelin-Vivien, Manuel Hidalgo, Hilmar Hinz, Jean-Olivier Irisson, Gabriele La Mesa, Laurence Le Diréach, Philippe Lenfant, Enrique Macpherson, Sanja Matić-Skoko, Manon Mercader, Marco Milazzo, Tiffany Monfort, Joan Moranta, Manuel Muntoni, Matteo Murenu, Lucie Nunez, M. Pilar Olivar, Jérémy Pastor, Ángel Pérez-Ruzafa, Serge Planes, Nuria Raventos, Justine Richaume, Elodie Rouanet, Erwan Roussel, Sandrine Ruitton, Ana Sabatés, Thierry Thibaut, Daniele Ventura, Laurent Vigliola, Dario Vrdoljak, and Vincent Rossi
Earth Syst. Sci. Data, 16, 3851–3871, https://doi.org/10.5194/essd-16-3851-2024, https://doi.org/10.5194/essd-16-3851-2024, 2024
Short summary
Short summary
We build a compilation of early-life dispersal traits for coastal fish species. The database contains over 110 000 entries collected from 1993 to 2021 in the western Mediterranean. All observations are harmonized to provide information on dates and locations of spawning and settlement, along with pelagic larval durations. When applicable, missing data are reconstructed from dynamic energy budget theory. Statistical analyses reveal sampling biases across taxa, space and time.
Yan Yang, Patrick Brockmann, Carolina Galdino, Uwe Schindler, and Frédéric Gazeau
Earth Syst. Sci. Data, 16, 3771–3780, https://doi.org/10.5194/essd-16-3771-2024, https://doi.org/10.5194/essd-16-3771-2024, 2024
Short summary
Short summary
Studies investigating the effects of ocean acidification on marine organisms and communities have been steadily increasing. To facilitate data comparison, a data compilation hosted by the PANGAEA Data Publisher was initiated in 2008 and is updated on a regular basis. By November 2023, a total of 1501 datasets (~25 million data points) from 1554 papers have been archived. To filter and access relevant biological response data from this compilation, a user-friendly portal was launched in 2018.
Mathilde Dugenne, Marco Corrales-Ugalde, Jessica Y. Luo, Rainer Kiko, Todd D. O'Brien, Jean-Olivier Irisson, Fabien Lombard, Lars Stemmann, Charles Stock, Clarissa R. Anderson, Marcel Babin, Nagib Bhairy, Sophie Bonnet, Francois Carlotti, Astrid Cornils, E. Taylor Crockford, Patrick Daniel, Corinne Desnos, Laetitia Drago, Amanda Elineau, Alexis Fischer, Nina Grandrémy, Pierre-Luc Grondin, Lionel Guidi, Cecile Guieu, Helena Hauss, Kendra Hayashi, Jenny A. Huggett, Laetitia Jalabert, Lee Karp-Boss, Kasia M. Kenitz, Raphael M. Kudela, Magali Lescot, Claudie Marec, Andrew McDonnell, Zoe Mériguet, Barbara Niehoff, Margaux Noyon, Thelma Panaïotis, Emily Peacock, Marc Picheral, Emilie Riquier, Collin Roesler, Jean-Baptiste Romagnan, Heidi M. Sosik, Gretchen Spencer, Jan Taucher, Chloé Tilliette, and Marion Vilain
Earth Syst. Sci. Data, 16, 2971–2999, https://doi.org/10.5194/essd-16-2971-2024, https://doi.org/10.5194/essd-16-2971-2024, 2024
Short summary
Short summary
Plankton and particles influence carbon cycling and energy flow in marine ecosystems. We used three types of novel plankton imaging systems to obtain size measurements from a range of plankton and particle sizes and across all major oceans. Data were compiled and cross-calibrated from many thousands of images, showing seasonal and spatial changes in particle size structure in different ocean basins. These datasets form the first release of the Pelagic Size Structure database (PSSdb).
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
Earth Syst. Sci. Data, 16, 1265–1282, https://doi.org/10.5194/essd-16-1265-2024, https://doi.org/10.5194/essd-16-1265-2024, 2024
Short summary
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.
Dieter Piepenburg, Thomas Brey, Katharina Teschke, Jennifer Dannheim, Paul Kloss, Marianne Rehage, Miriam L. S. Hansen, and Casper Kraan
Earth Syst. Sci. Data, 16, 1177–1184, https://doi.org/10.5194/essd-16-1177-2024, https://doi.org/10.5194/essd-16-1177-2024, 2024
Short summary
Short summary
Research on ecological footprints of climate change and human impacts in Arctic seas is still hampered by problems in accessing sound data, which is unevenly distributed among regions and faunal groups. To address this issue, we present the PAN-Arctic data collection of benthic BIOtas (PANABIO). It provides open access to valuable biodiversity information by integrating data from various sources and of various formats and offers versatile exploration tools for data filtering and mapping.
Andrea J. McEvoy, Angus Atkinson, Ruth L. Airs, Rachel Brittain, Ian Brown, Elaine S. Fileman, Helen S. Findlay, Caroline L. McNeill, Clare Ostle, Tim J. Smyth, Paul J. Somerfield, Karen Tait, Glen A. Tarran, Simon Thomas, Claire E. Widdicombe, E. Malcolm S. Woodward, Amanda Beesley, David V. P. Conway, James Fishwick, Hannah Haines, Carolyn Harris, Roger Harris, Pierre Hélaouët, David Johns, Penelope K. Lindeque, Thomas Mesher, Abigail McQuatters-Gollop, Joana Nunes, Frances Perry, Ana M. Queiros, Andrew Rees, Saskia Rühl, David Sims, Ricardo Torres, and Stephen Widdicombe
Earth Syst. Sci. Data, 15, 5701–5737, https://doi.org/10.5194/essd-15-5701-2023, https://doi.org/10.5194/essd-15-5701-2023, 2023
Short summary
Short summary
Western Channel Observatory is an oceanographic time series and biodiversity reference site within 40 km of Plymouth (UK), sampled since 1903. Differing levels of reporting and formatting hamper the use of the valuable individual datasets. We provide the first summary database as monthly averages where comparisons can be made of the physical, chemical and biological data. We describe the database, illustrate its utility to examine seasonality and longer-term trends, and summarize previous work.
Zhongkun Hong, Di Long, Xingdong Li, Yiming Wang, Jianmin Zhang, Mohamed A. Hamouda, and Mohamed M. Mohamed
Earth Syst. Sci. Data, 15, 5281–5300, https://doi.org/10.5194/essd-15-5281-2023, https://doi.org/10.5194/essd-15-5281-2023, 2023
Short summary
Short summary
Changes in ocean chlorophyll-a (Chl-a) concentration are related to ecosystem balance. Here, we present high-quality gap-filled Chl-a data in open oceans, reflecting the distribution and changes in global Chl-a concentration. Our findings highlight the efficacy of reconstructing missing satellite observations using convolutional neural networks. This dataset and model are valuable for research in ocean color remote sensing, offering data support and methodological references for related studies.
Thomas J. Ryan-Keogh, Sandy J. Thomalla, Nicolette Chang, and Tumelo Moalusi
Earth Syst. Sci. Data, 15, 4829–4848, https://doi.org/10.5194/essd-15-4829-2023, https://doi.org/10.5194/essd-15-4829-2023, 2023
Short summary
Short summary
Oceanic productivity has been highlighted as an important environmental indicator of climate change in comparison to other existing metrics. However, the availability of these data to assess trends and trajectories is plagued with issues, such as application to only a single satellite reducing the time period for assessment. We have applied multiple algorithms to the longest ocean colour record to provide a record for assessing climate-change-driven trends.
Raed Halawi Ghosn, Émilie Poisson-Caillault, Guillaume Charria, Armel Bonnat, Michel Repecaud, Jean-Valery Facq, Loïc Quéméner, Vincent Duquesne, Camille Blondel, and Alain Lefebvre
Earth Syst. Sci. Data, 15, 4205–4218, https://doi.org/10.5194/essd-15-4205-2023, https://doi.org/10.5194/essd-15-4205-2023, 2023
Short summary
Short summary
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.
Shungudzemwoyo P. Garaba, Michelle Albinus, Guido Bonthond, Sabine Flöder, Mario L. M. Miranda, Sven Rohde, Joanne Y. L. Yong, and Jochen Wollschläger
Earth Syst. Sci. Data, 15, 4163–4179, https://doi.org/10.5194/essd-15-4163-2023, https://doi.org/10.5194/essd-15-4163-2023, 2023
Short summary
Short summary
These high-quality data document a harmful algal bloom dominated by Nodularia spumigena, a cyanobacterium that has been recurring in waters around the world, using advanced water observation technologies. We also showcase the benefits of experiments of opportunity and the issues with obtaining synoptic spatio-temporal data for monitoring water quality. The dataset can be leveraged to gain more knowledge on related blooms, develop detection algorithms and optimize future monitoring efforts.
Fabrice Stephenson, Tom Brough, Drew Lohrer, Daniel Leduc, Shane Geange, Owen Anderson, David Bowden, Malcolm R. Clark, Niki Davey, Enrique Pardo, Dennis P. Gordon, Brittany Finucci, Michelle Kelly, Diana Macpherson, Lisa McCartain, Sadie Mills, Kate Neill, Wendy Nelson, Rachael Peart, Matthew H. Pinkerton, Geoffrey B. Read, Jodie Robertson, Ashley Rowden, Kareen Schnabel, Andrew Stewart, Carl Struthers, Leigh Tait, Di Tracey, Shaun Weston, and Carolyn Lundquist
Earth Syst. Sci. Data, 15, 3931–3939, https://doi.org/10.5194/essd-15-3931-2023, https://doi.org/10.5194/essd-15-3931-2023, 2023
Short summary
Short summary
Understanding the distribution of species that live at the seafloor is critical to the management of the marine environment but is lacking in many areas. Here, we showcase an atlas of seafloor biodiversity that describes the distribution of approximately 600 organisms throughout New Zealand’s vast marine realm. Each layer in the open-access atlas has been evaluated by leading experts and provides a key resource for the sustainable use of New Zealand's marine environment.
Hubert Loisel, Daniel Schaffer Ferreira Jorge, Rick A. Reynolds, and Dariusz Stramski
Earth Syst. Sci. Data, 15, 3711–3731, https://doi.org/10.5194/essd-15-3711-2023, https://doi.org/10.5194/essd-15-3711-2023, 2023
Short summary
Short summary
Studies of light fields in aquatic environments require data from radiative transfer simulations that are free of measurement errors. In contrast to previously published synthetic optical databases, the present database was created by simulations covering a broad range of seawater optical properties that exhibit probability distributions consistent with a global ocean dominated by open-ocean pelagic environments. This database is intended to support ocean color science and applications.
Philippe Massicotte, Marcel Babin, Frank Fell, Vincent Fournier-Sicre, and David Doxaran
Earth Syst. Sci. Data, 15, 3529–3545, https://doi.org/10.5194/essd-15-3529-2023, https://doi.org/10.5194/essd-15-3529-2023, 2023
Short summary
Short summary
The COASTlOOC oceanographic expeditions in 1997 and 1998 studied the relationship between seawater properties and biology and chemistry across the European coasts. The team collected data from 379 stations using ships and helicopters to support the development of ocean color remote-sensing algorithms. This unique and consistent dataset is still used today by researchers.
Valentin Siebert, Brivaëla Moriceau, Lukas Fröhlich, Bernd R. Schöne, Erwan Amice, Beatriz Beker, Kevin Bihannic, Isabelle Bihannic, Gaspard Delebecq, Jérémy Devesa, Morgane Gallinari, Yoan Germain, Émilie Grossteffan, Klaus Peter Jochum, Thierry Le Bec, Manon Le Goff, Céline Liorzou, Aude Leynaert, Claudie Marec, Marc Picheral, Peggy Rimmelin-Maury, Marie-Laure Rouget, Matthieu Waeles, and Julien Thébault
Earth Syst. Sci. Data, 15, 3263–3281, https://doi.org/10.5194/essd-15-3263-2023, https://doi.org/10.5194/essd-15-3263-2023, 2023
Short summary
Short summary
This article presents an overview of the results of biological, chemical and physical parameters measured at high temporal resolution (sampling once and twice per week) during environmental monitoring that took place in 2021 in the Bay of Brest. We strongly believe that this dataset could be very useful for other scientists performing sclerochronological investigations, studying biogeochemical cycles or conducting various ecological research projects.
Sofie Vranken, Marine Robuchon, Stefanie Dekeyzer, Ignacio Bárbara, Inka Bartsch, Aurélie Blanfuné, Charles-François Boudouresque, Wim Decock, Christophe Destombe, Bruno de Reviers, Pilar Díaz-Tapia, Anne Herbst, Romain Julliard, Rolf Karez, Priit Kersen, Stacy A. Krueger-Hadfield, Ralph Kuhlenkamp, Akira F. Peters, Viviana Peña, Cristina Piñeiro-Corbeira, Fabio Rindi, Florence Rousseau, Jan Rueness, Hendrik Schubert, Kjersti Sjøtun, Marta Sansón, Dan Smale, Thierry Thibaut, Myriam Valero, Leen Vandepitte, Bart Vanhoorne, Alba Vergés, Marc Verlaque, Christophe Vieira, Line Le Gall, Frederik Leliaert, and Olivier De Clerck
Earth Syst. Sci. Data, 15, 2711–2754, https://doi.org/10.5194/essd-15-2711-2023, https://doi.org/10.5194/essd-15-2711-2023, 2023
Short summary
Short summary
We present AlgaeTraits, a high-quality seaweed trait database. The data are structured within the framework of WoRMS and are supported by an expert editor community. With 45 175 trait records for 21 prioritised biological and ecological traits, and a taxonomic coverage of 1 745 European species, AlgaeTraits significantly advances previous efforts to provide standardised seaweed trait data. AlgaeTraits will serve as a foundation for future research on diversity and evolution of seaweeds.
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
Short summary
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.
Jacopo Pulcinella, Enrico Nicola Armelloni, Carmen Ferrà, Giuseppe Scarcella, and Anna Nora Tassetti
Earth Syst. Sci. Data, 15, 809–820, https://doi.org/10.5194/essd-15-809-2023, https://doi.org/10.5194/essd-15-809-2023, 2023
Short summary
Short summary
Deep-sea fishery in the Mediterranean Sea was historically driven by the commercial profitability of deepwater red shrimps. Understanding spatiotemporal dynamics of fishing is key to comprehensively evaluate the status of these resources and prevent stock collapse. The observed monthly fishing effort and frequency dataset released by the automatic identification system (AIS) may help researchers as well as those involved in fishery management and in the update of existing management plans.
Simone Strydom, Roisin McCallum, Anna Lafratta, Chanelle L. Webster, Caitlyn M. O'Dea, Nicole E. Said, Natasha Dunham, Karina Inostroza, Cristian Salinas, Samuel Billinghurst, Charlie M. Phelps, Connor Campbell, Connor Gorham, Rachele Bernasconi, Anna M. Frouws, Axel Werner, Federico Vitelli, Viena Puigcorbé, Alexandra D'Cruz, Kathryn M. McMahon, Jack Robinson, Megan J. Huggett, Sian McNamara, Glenn A. Hyndes, and Oscar Serrano
Earth Syst. Sci. Data, 15, 511–519, https://doi.org/10.5194/essd-15-511-2023, https://doi.org/10.5194/essd-15-511-2023, 2023
Short summary
Short summary
Seagrasses are important underwater plants that provide valuable ecosystem services to humans, including mitigating climate change. Understanding the natural history of seagrass meadows across different types of environments is crucial to conserving seagrasses in the global ocean. This dataset contains data extracted from peer-reviewed publications and highlights which seagrasses have been studied and in which locations and is useful for pointing out which need further investigation.
Flavienne Bruyant, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Lise Artigue, Lucas Barbedo de Freitas, Guislain Bécu, Simon Bélanger, Pascaline Bourgain, Annick Bricaud, Etienne Brouard, Camille Brunet, Tonya Burgers, Danielle Caleb, Katrine Chalut, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Marine Cusa, Fanny Cusset, Laeticia Dadaglio, Marty Davelaar, Gabrièle Deslongchamps, Céline Dimier, Julie Dinasquet, Dany Dumont, Brent Else, Igor Eulaers, Joannie Ferland, Gabrielle Filteau, Marie-Hélène Forget, Jérome Fort, Louis Fortier, Martí Galí, Morgane Gallinari, Svend-Erik Garbus, Nicole Garcia, Catherine Gérikas Ribeiro, Colline Gombault, Priscilla Gourvil, Clémence Goyens, Cindy Grant, Pierre-Luc Grondin, Pascal Guillot, Sandrine Hillion, Rachel Hussherr, Fabien Joux, Hannah Joy-Warren, Gabriel Joyal, David Kieber, Augustin Lafond, José Lagunas, Patrick Lajeunesse, Catherine Lalande, Jade Larivière, Florence Le Gall, Karine Leblanc, Mathieu Leblanc, Justine Legras, Keith Lévesque, Kate-M. Lewis, Edouard Leymarie, Aude Leynaert, Thomas Linkowski, Martine Lizotte, Adriana Lopes dos Santos, Claudie Marec, Dominique Marie, Guillaume Massé, Philippe Massicotte, Atsushi Matsuoka, Lisa A. Miller, Sharif Mirshak, Nathalie Morata, Brivaela Moriceau, Philippe-Israël Morin, Simon Morisset, Anders Mosbech, Alfonso Mucci, Gabrielle Nadaï, Christian Nozais, Ingrid Obernosterer, Thimoté Paire, Christos Panagiotopoulos, Marie Parenteau, Noémie Pelletier, Marc Picheral, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Llúcia Ribot Lacosta, Jean-François Rontani, Blanche Saint-Béat, Julie Sansoulet, Noé Sardet, Catherine Schmechtig, Antoine Sciandra, Richard Sempéré, Caroline Sévigny, Jordan Toullec, Margot Tragin, Jean-Éric Tremblay, Annie-Pier Trottier, Daniel Vaulot, Anda Vladoiu, Lei Xue, Gustavo Yunda-Guarin, and Marcel Babin
Earth Syst. Sci. Data, 14, 4607–4642, https://doi.org/10.5194/essd-14-4607-2022, https://doi.org/10.5194/essd-14-4607-2022, 2022
Short summary
Short summary
This paper presents a dataset acquired during a research cruise held in Baffin Bay in 2016. We observed that the disappearance of sea ice in the Arctic Ocean increases both the length and spatial extent of the phytoplankton growth season. In the future, this will impact the food webs on which the local populations depend for their food supply and fisheries. This dataset will provide insight into quantifying these impacts and help the decision-making process for policymakers.
Rainer Kiko, Marc Picheral, David Antoine, Marcel Babin, Léo Berline, Tristan Biard, Emmanuel Boss, Peter Brandt, Francois Carlotti, Svenja Christiansen, Laurent Coppola, Leandro de la Cruz, Emilie Diamond-Riquier, Xavier Durrieu de Madron, Amanda Elineau, Gabriel Gorsky, Lionel Guidi, Helena Hauss, Jean-Olivier Irisson, Lee Karp-Boss, Johannes Karstensen, Dong-gyun Kim, Rachel M. Lekanoff, Fabien Lombard, Rubens M. Lopes, Claudie Marec, Andrew M. P. McDonnell, Daniela Niemeyer, Margaux Noyon, Stephanie H. O'Daly, Mark D. Ohman, Jessica L. Pretty, Andreas Rogge, Sarah Searson, Masashi Shibata, Yuji Tanaka, Toste Tanhua, Jan Taucher, Emilia Trudnowska, Jessica S. Turner, Anya Waite, and Lars Stemmann
Earth Syst. Sci. Data, 14, 4315–4337, https://doi.org/10.5194/essd-14-4315-2022, https://doi.org/10.5194/essd-14-4315-2022, 2022
Short summary
Short summary
The term
marine particlescomprises detrital aggregates; fecal pellets; bacterioplankton, phytoplankton and zooplankton; and even fish. Here, we present a global dataset that contains 8805 vertical particle size distribution profiles obtained with Underwater Vision Profiler 5 (UVP5) camera systems. These data are valuable to the scientific community, as they can be used to constrain important biogeochemical processes in the ocean, such as the flux of carbon to the deep sea.
Autun Purser, Laura Hehemann, Lilian Boehringer, Ellen Werner, Santiago E. A. Pineda-Metz, Lucie Vignes, Axel Nordhausen, Moritz Holtappels, and Frank Wenzhoefer
Earth Syst. Sci. Data, 14, 3635–3648, https://doi.org/10.5194/essd-14-3635-2022, https://doi.org/10.5194/essd-14-3635-2022, 2022
Short summary
Short summary
Within this paper we present the seafloor images, maps and acoustic camera data collected by a towed underwater research platform deployed in 20 locations across the eastern Weddell Sea, Antarctica, during the PS124 COSMUS expedition with the research icebreaker RV Polarstern in 2021. The 20 deployments highlight the great variability in seafloor structure and faunal communities present. Of key interest was the discovery of the largest fish nesting colony discovered globally to date.
Cited articles
Agagliate, J., Foster, R., Ibrahim, A., and Gilerson, A.: A neural network approach to the estimation of in-water attenuation to absorption ratios from PACE mission measurements, Front. Remote Sens., 4, 1–20, https://doi.org/10.3389/frsen.2023.1060908, 2023. a
Aiken, J., Rees, N., Hooker, S., Holligan, P., Bale, A., Robins, D., Moore, G., Harris, R., and Pilgrim, D.: The Atlantic Meridional Transect: overview and synthesis of data, Prog. Oceanogr., 45, 257–312, https://doi.org/10.1016/S0079-6611(00)00005-7, 2000. a, b, c
Aiken, J., Pradhan, Y., Barlow, R., Lavender, S., Poulton, A., Holligan, P., and Hardman-Mountford, N.: Phytoplankton pigments and functional types in the Atlantic Ocean: A decadal assessment, 1995–2005, Deep-Sea Res. Pt. II, 56, 899–917, https://doi.org/10.1016/j.dsr2.2008.09.017, 2009. a, b, c, d
Alikas, K., Vabson, V., Ansko, I., Tilstone, G. H., Dall'Olmo, G., Nencioli, F., Vendt, R., Donlon, C., and Casal, T.: Comparison of Above-Water Seabird and TriOS Radiometers Along an Atlantic Meridional Transect, Remote Sens., 12, 1669, https://doi.org/10.3390/rs12101669, 2020. a
Babin, M., Morel, A., Fournier-Sicre, V., Fell, F., and Stramski, D.: Light scattering properties of marine particles in coastal and open ocean waters as related to the particle mass concentration, Limnol. Oceanogr., 48, 843–859, https://doi.org/10.4319/lo.2003.48.2.0843, 2003. a, b
Barlow, R., Lamont, T., Viljoen, J., Airs, R., Brewin, R., Tilstone, G., Aiken, J., Woodward, E., and Harris, C.: Latitudinal variability and adaptation of phytoplankton in the Atlantic Ocean, J. Marine Syst., 239, 103844, https://doi.org/10.1016/j.jmarsys.2022.103844, 2023. a
Barnard, A. H., Pegau, W. S., and Zaneveld, J. R. V.: Global relationships of the inherent optical properties of the oceans, J. Geophys. Res.-Oceans, 103, 24955–24968, https://doi.org/10.1029/98JC01851, 1998. a
BIPM: Evaluation of Measurement Data – Guide to the Expression of BIPMinty in Measurement, Joint Committee for Guides in Metrology, Tech. rep., JCGM, https://www.bipm.org/documents/20126/2071204/JCGM_100_2008_E.pdf (last access: 27 January 2025), 2008. a
Boss, E., Twardowski, M. S., and Herring, S.: Shape of the particulate beam attenuation spectrum and its inversion to obtain the shape of the particulate size distribution, Appl. Optics, 40, 4885–4893, https://doi.org/10.1364/AO.40.004885, 2001. a, b
Boss, E., Slade, W. H., Behrenfeld, M., and Dall'Olmo, G.: Acceptance angle effects on the beam attenuation in the ocean, Opt. Express, 17, 1535–1550, https://doi.org/10.1364/OE.17.001535, 2009. a
Boss, E., Picheral, M., Leeuw, T., Chase, A., Karsenti, E., Gorsky, G., Taylor, L., Slade, W., Ras, J., and Claustre, H.: The characteristics of particulate absorption, scattering and attenuation coefficients in the surface ocean; Contribution of the Tara Oceans expedition, Methods in Oceanography, 7, 52–62, https://doi.org/10.1016/j.mio.2013.11.002, 2013. a, b, c, d, e, f, g
Boss, E. S., Collier, R., Larson, G., Fennel, K., and Pegau, W.: Measurements of spectral optical properties and their relation to biogeochemical variables and processes in Crater Lake, Crater Lake National Park, OR, Hydrobiologia, 574, 149–159, https://doi.org/10.1007/s10750-006-2609-3, 2007. a, b, c
Braga, F., Fabbretto, A., Vanhellemont, Q., Bresciani, M., Giardino, C., Scarpa, G. M., Manfè, G., Concha, J. A., and Brando, V. E.: Assessment of PRISMA water reflectance using autonomous hyperspectral radiometry, ISPRS J. Photogramm. Remote Sens., 192, 99–114, https://doi.org/10.1016/j.isprsjprs.2022.08.009, 2022. a
Brewin, R. J., Dall'Olmo, G., Pardo, S., van Dongen-Vogels, V., and Boss, E. S.: Underway spectrophotometry along the Atlantic Meridional Transect reveals high performance in satellite chlorophyll retrievals, Remote Sens. Environ., 183, 82–97, https://doi.org/10.1016/j.rse.2016.05.005, 2016. a, b, c, d, e, f, g, h, i, j
Brewin, R. J. W., Ciavatta, S., Sathyendranath, S., Skákala, J., Bruggeman, J., Ford, D., and Platt, T.: The Influence of Temperature and Community Structure on Light Absorption by Phytoplankton in the North Atlantic, Sensors, 19, 4182, https://doi.org/10.3390/s19194182, 2019. a
Bricaud, A., Babin, M., Morel, A., and Claustre, H.: Variability in the chlorophyll-specific absorption coefficients of natural phytoplankton: Analysis and parameterization, J. Geophys. Res.-Oceans, 100, 13321–13332, https://doi.org/10.1029/95JC00463, 1995. a
Bricaud, A., Claustre, H., Ras, J., and Oubelkheir, K.: Natural variability of phytoplanktonic absorption in oceanic waters: Influence of the size structure of algal populations, J. Geophys. Res.-Oceans, 109, C11010, https://doi.org/10.1029/2004JC002419, 2004. a, b, c, d
Cetinić, I., Rousseaux, C. S., Carroll, I. T., Chase, A. P., Kramer, S. J., Werdell, P. J., Siegel, D. A., Dierssen, H. M., Catlett, D., Neeley, A., Soto Ramos, I. M., Wolny, J. L., Sadoff, N., Urquhart, E., Westberry, T. K., Stramski, D., Pahlevan, N., Seegers, B. N., Sirk, E., Lange, P. K., Vandermeulen, R. A., Graff, J. R., Allen, J. G., Gaube, P., McKinna, L. I., McKibben, S. M., Binding, C. E., Calzado, V. S., and Sayers, M.: Phytoplankton composition from sPACE: Requirements, opportunities, and challenges, Remote Sens. Environ., 302, 113964, https://doi.org/10.1016/j.rse.2023.113964, 2024. a, b
Chase, A. P., Boss, E., Cetinić, I., and Slade, W.: Estimation of Phytoplankton Accessory Pigments From Hyperspectral Reflectance Spectra: Toward a Global Algorithm, J. Geophys. Res.-Oceans, 122, 9725–9743, https://doi.org/10.1002/2017JC012859, 2017. a, b, c
Ciotti, Ã. M., Lewis, M. R., and Cullen, J. J.: Assessment of the relationships between dominant cell size in natural phytoplankton communities and the spectral shape of the absorption coefficient, Limnol. Oceanogr., 47, 404–417, https://doi.org/10.4319/lo.2002.47.2.0404, 2002. a
Descy, J.-P., Sarmento, H., and Higgins, H. W.: Variability of phytoplankton pigment ratios across aquatic environments, Eur. J. Phycol., 44, 319–330, https://doi.org/10.1080/09670260802618942, 2009. a, b
Devred, E., Sathyendranath, S., Stuart, V., and Platt, T.: A three component classification of phytoplankton absorption spectra: Application to ocean-color data, Remote Sens. Environ., 115, 2255–2266, https://doi.org/10.1016/j.rse.2011.04.025, 2011. a
Dierssen, H. M., Ackleson, S. G., Joyce, K. E., Hestir, E. L., Castagna, A., Lavender, S., and McManus, M. A.: Living up to the Hype of Hyperspectral Aquatic Remote Sensing: Science, Resources and Outlook, Front. Environ. Sci., 9, 1–26, https://doi.org/10.3389/fenvs.2021.649528, 2021. a
Dierssen, H. M., Gierach, M., Guild, L. S., Mannino, A., Salisbury, J., Schollaert Uz, S., Scott, J., Townsend, P. A., Turpie, K., Tzortziou, M., Urquhart, E., Vandermeulen, R., and Werdell, P. J.: Synergies Between NASA's Hyperspectral Aquatic Missions PACE, GLIMR, and SBG: Opportunities for New Science and Applications, J. Geophys. Res.-Biogeo., 128, e2023JG007574, https://doi.org/10.1029/2023JG007574, 2023. a
Eisner, L. B., Twardowski, M. S., Cowles, T. J., and Perry, M. J.: Resolving phytoplankton photoprotective: photosynthetic carotenoid ratios on fine scales using in situ spectral absorption measurements, Limnol. Oceanogr., 48, 632–646, https://doi.org/10.4319/lo.2003.48.2.0632, 2003. a
Gardner, W., Mishonov, A., and Richardson, M.: Global POC concentrations from in-situ and satellite data, Deep-Sea Res. Pt. II, 53, 718–740, https://doi.org/10.1016/j.dsr2.2006.01.029, 2006. a
Gibb, S., Barlow, R., Cummings, D., Rees, N., Trees, C., Holligan, P., and Suggett, D.: Surface phytoplankton pigment distributions in the Atlantic Ocean: an assessment of basin scale variability between 50° N and 50° S, Prog. Oceanogr., 45, 339–368, https://doi.org/10.1016/S0079-6611(00)00007-0, 2000. a, b
Goericke, R. and Montoya, J.: Estimating the contribution of microalgal taxa to chlorophyll a in the field–variations of pigment ratios under nutrient- and light-limited growth, Mar. Ecol. Prog. Ser., 169, 97–112, https://doi.org/10.3354/meps169097, 1998. a
Hooker, S., Van Heukelem, L., Thomas, C. S., Claustre, H amd Ras, J., Schlüter, L., Perl, J Trees, C., S Stuart, V., Head, Barlow, R., Sessions, H., Clementson, L., Fishwick, J., Llewellyn, C., and Aiken, J.: The Second SeaWiFS HPLC Analysis Round-Robin Experiment (SeaHARRE2), NASA Tech. Memo, 212785, 2005. a
Ibrahim, A., Gilerson, A., Harmel, T., Tonizzo, A., Chowdhary, J., and Ahmed, S.: The relationship between upwelling underwater polarization and attenuation/absorption ratio, Opt. Express, 20, 25662–25680, https://doi.org/10.1364/OE.20.025662, 2012. a
IOCCG: Phytoplankton Functional Types from Space, edited by: Sathyendranath, S., Dartmouth, NS, Canada, International Ocean-Colour Coordinating Group (IOCCG), Tech. Rep. 15, IOCCG, https://doi.org/10.25607/OBP-106, 2014. a
Jordan, T., Dall'Olmo, G., Tilstone, G., Brewin, R., Nencioli, F., Ruth, A., Crystal, T., and Louise, S.: Surface inherent optical properties and phytoplankton pigment concentrations from the Atlantic Meridional Transect (2009–2019): NetCDF format, Zenodo [data set], https://doi.org/10.5281/zenodo.12527954, 2024. a, b
Jordan, T. M.: tjor/AMT_ACSpaperplots: AMT ESSD paper plots (V1.0), Zenodo [code], https://doi.org/10.5281/zenodo.14750306, 2025. a
Jordan, T. M., Dall’Olmo, G., Tilstone, G., Brewin, R. J. W., Nencioli, F., Airs, R., Thomas, C. S., and Schlüter, L.: Surface inherent optical properties and phytoplankton pigment concentrations from the Atlantic Meridional Transect (2009–2019): SeaBASS format, NASA Earth Data [data set], https://seabass.gsfc.nasa.gov/archive/PML/AMT, last access: 4 February 2025a. a, b
Jordan, T. M., Dall'Olmo, G., Tilstone, G., Brewin, R. J. W., and Nencioli, F.: tjor/AMT19_underway: AMT19_underway (Version V1), Zenodo [code], https://doi.org/10.5281/zenodo.14749878, 2025b. a
Jordan, T. M., Dall'Olmo, G., Tilstone, G., Brewin, R. J. W., and Nencioli, F.: tjor/AMT22_underway: AMT 22 ESSD (Version V1), Zenodo [code], https://doi.org/10.5281/zenodo.14749894, 2025c. a
Jordan, T. M., Dall'Olmo, G., Tilstone, G., Brewin, R. J. W., and Nencioli, F.: tjor/AMT23_Underway: AMT 23 ESSD (Version V1), Zenodo [code], https://doi.org/10.5281/zenodo.14750058, 2025d. a
Jordan, T. M., Dall'Olmo, G., Tilstone, G., Brewin, R. J. W., and Nencioli, F.: tjor/AMT24_underway: AMT 24 ESSD (Version V1), Zenodo [code], https://doi.org/10.5281/zenodo.14750062, 2025e. a
Jordan, T. M., Dall'Olmo, G., Tilstone, G., Brewin, R. J. W., and Nencioli, F.: tjor/AMT25_underway: AMT 25 ESSD (Version V1), Zenodo [code], https://doi.org/10.5281/zenodo.14750065, 2025f. a
Jordan, T. M., Dall'Olmo, G., Tilstone, G., Brewin, R. J. W., and Nencioli, F.: tjor/AMT26_underway: AMT 26 ESSD (Version V1), Zenodo [code], https://doi.org/10.5281/zenodo.14750071, 2025g. a
Jordan, T. M., Dall'Olmo, G., Tilstone, G., Brewin, R. J. W., and Nencioli, F.: tjor/AMT27_underway: AMT 27 ESSD (Version V1), Zenodo [code], https://doi.org/10.5281/zenodo.14750076, 2025h. a
Jordan, T. M., Dall'Olmo, G., Tilstone, G., Brewin, R. J. W., and Nencioli, F.: tjor/AMT28_underway: AMT 28 ESSD (Version V1), Zenodo [code], https://doi.org/10.5281/zenodo.14750089, 2025i. a
Jordan, T. M., Dall'Olmo, G., Tilstone, G., Brewin, R. J. W., and Nencioli, F.: tjor/AMT29_underway: AMT 29 ESSD (Version V1), Zenodo [code], https://doi.org/10.5281/zenodo.14750096, 2025j. a
Kramer, S. J. and Siegel, D. A.: How Can Phytoplankton Pigments Be Best Used to Characterize Surface Ocean Phytoplankton Groups for Ocean Color Remote Sensing Algorithms?, J. Geophys. Res.-Oceans, 124, 7557–7574, https://doi.org/10.1029/2019JC015604, 2019. a, b, c, d
Kramer, S. J., Siegel, D. A., and Graff, J. R.: Phytoplankton Community Composition Determined From Co-variability Among Phytoplankton Pigments From the NAAMES Field Campaign, Front. Marine Sci., 7, 1–15, https://doi.org/10.3389/fmars.2020.00215, 2020. a
Kramer, S. J., Siegel, D. A., Maritorena, S., and Catlett, D.: Modeling surface ocean phytoplankton pigments from hyperspectral remote sensing reflectance on global scales, Remote Sens. Environ., 270, 112879, https://doi.org/10.1016/j.rse.2021.112879, 2022. a
Lin, J., Dall'Olmo, G., Tilstone, G. H., Brewin, R. J. W., Vabson, V., Ansko, I., Evers-King, H., Casal, T., and Donlon, C.: Derivation of uncertainty budgets for continuous above-water radiometric measurements along an Atlantic Meridional Transect, Opt. Express, 30, 45648–45675, https://doi.org/10.1364/OE.470994, 2022. a, b
Liu, Y., Boss, E., Chase, A., Xi, H., Zhang, X., Röttgers, R., Pan, Y., and Bracher, A.: Retrieval of Phytoplankton Pigments from Underway Spectrophotometry in the Fram Strait, Remote Sens., 11, 318, https://doi.org/10.3390/rs11030318, 2019. a, b
Massicotte, P., Babin, M., Fell, F., Fournier-Sicre, V., and Doxaran, D.: The Coastal Surveillance Through Observation of Ocean Color (COASTℓOOC) dataset, Earth Syst. Sci. Data, 15, 3529–3545, https://doi.org/10.5194/essd-15-3529-2023, 2023. a
McClain, C. R., Franz, B. A., and Werdell, P. J.: Genesis and Evolution of NASA's Satellite Ocean Color Program, Front. Remote Sens., 3, 1–19, https://doi.org/10.3389/frsen.2022.938006, 2022. a
Moisan, J., Moisan, T. A., and Linkswiler, M.: An inverse modeling approach to estimating phytoplankton pigment concentrations from phytoplankton absorption spectra, J. Geophys. Res., 116, 19143587, https://doi.org/10.1029/2010JC006786, 2011. a
Morel, A. and Prieur, L.: Analysis of variations in ocean color, Limnol. Oceanogr., 22, 709–722, https://doi.org/10.4319/lo.1977.22.4.0709, 1977. a
Nechad, B., Ruddick, K., Schroeder, T., Oubelkheir, K., Blondeau-Patissier, D., Cherukuru, N., Brando, V., Dekker, A., Clementson, L., Banks, A. C., Maritorena, S., Werdell, P. J., Sá, C., Brotas, V., Caballero de Frutos, I., Ahn, Y.-H., Salama, S., Tilstone, G., Martinez-Vicente, V., Foley, D., McKibben, M., Nahorniak, J., Peterson, T., Siliò-Calzada, A., Röttgers, R., Lee, Z., Peters, M., and Brockmann, C.: CoastColour Round Robin data sets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters, Earth Syst. Sci. Data, 7, 319–348, https://doi.org/10.5194/essd-7-319-2015, 2015. a
Pardo, S., Tilstone, G. H., Brewin, R. J., Dall'Olmo, G., Lin, J., Nencioli, F., Evers-King, H., Casal, T. G., and Donlon, C. J.: Radiometric assessment of OLCI, VIIRS, and MODIS using fiducial reference measurements along the Atlantic Meridional Transect, Remote Sens. Environ., 299, 113844, https://doi.org/10.1016/j.rse.2023.113844, 2023. a
Prieur, L. and Sathyendranath, S.: An optical classification of coastal and oceanic waters based on the specific spectral absorption curves of phytoplankton pigments, dissolved organic matter, and other particulate materials1, Limnol. Oceanogr., 26, 671–689, https://doi.org/10.4319/lo.1981.26.4.0671, 1981. a
Rasse, R., Dall'Olmo, G., Graff, J., Westberry, T. K., van Dongen-Vogels, V., and Behrenfeld, M. J.: Evaluating Optical Proxies of Particulate Organic Carbon across the Surface Atlantic Ocean, Front. Marine Sci., 4, 1–18, https://doi.org/10.3389/fmars.2017.00367, 2017. a, b
Rees, A., Robinson, C., Smyth, T., Aiken, J., Nightingale, P., and Zubkov, M.: 20 Years of the Atlantic Meridional Transect–AMT, Limnol. Oceanogr. Bull., 24, 101–107, https://doi.org/10.1002/lob.10069, 2015. a
Ruivo, M., Amorim, A., and Cartaxana, P.: Effects of growth phase and irradiance on phytoplankton pigment ratios: implications for chemotaxonomy in coastal waters, J. Plankton Res., 33, 1012–1022, https://doi.org/10.1093/plankt/fbr019, 2011. a, b
Röttgers, R., McKee, D., and Woźniak, S. B.: Evaluation of scatter corrections for ac-9 absorption measurements in coastal waters, Methods in Oceanography, 7, 21–39, https://doi.org/10.1016/j.mio.2013.11.001, 2013. a
Schlüter, L., Møhlenberg, F., Havskum, H., and Larsen, S. E.: The use of phytoplankton pigments for identifying and quantifying phytoplankton groups in coastal areas: testing the influence of light and nutrients on pigment/chlorophyll a ratios, Mar. Ecol. Prog. Ser., 192, 49–63, https://doi.org/10.3354/MEPS192049, 2000. a
Schlüter, L., Laurisden, T. L., Krough, G., and Jorgensen, T.: Identification and quantification of phytoplankton groups in lakes using new pigment ratios – a comparison between pigment analysis by HPLC and microscopy, Freshwater Biol., 51, 1474–1485, https://doi.org/10.1111/j.1365-2427.2006.01582.x, 2006. a
Slade, W. H., Boss, E., Dall'Olmo, G., Langner, M. R., Loftin, J., Behrenfeld, M. J., Roesler, C., and Westberry, T. K.: Underway and Moored Methods for Improving Accuracy in Measurement of Spectral Particulate Absorption and Attenuation, J. Atmos. Ocean. Tech., 27, 1733–1746, https://doi.org/10.1175/2010JTECHO755.1, 2010. a, b, c, d, e, f, g
Smyth, T. J., Tarran, G. A., and Sathyendranath, S.: Marine picoplankton size distribution and optical property contrasts throughout the Atlantic Ocean revealed using flow cytometry, Appl. Optics, 58, 8802–8815, https://doi.org/10.1364/AO.58.008802, 2019. a
Sun, D., Li, Z., Wang, S., Zhang, H., Huan, Y., Zhang, Y., and He, Y.: Two-decadal estimation of sixteen phytoplankton pigments from satellite observations in coastal waters, Int. J. Appl. Earth Obs., 108, 102715, https://doi.org/10.1016/j.jag.2022.102715, 2022. a, b, c, d
Teng, J., Zhang, T., Sun, K., and Gao, H.: Retrieving Pigment Concentrations Based on Hyperspectral Measurements of the Phytoplankton Absorption Coefficient in Global Oceans, Remote Sens., 14, 3516, https://doi.org/10.3390/rs14153516, 2022. a, b, c, d
Tilstone, G. H., Peters, S. W., van der Woerd, H. J., Eleveld, M. A., Ruddick, K., Schönfeld, W., Krasemann, H., Martinez-Vicente, V., Blondeau-Patissier, D., Röttgers, R., Sørensen, K., Jørgensen, P. V., and Shutler, J. D.: Variability in specific-absorption properties and their use in a semi-analytical ocean colour algorithm for MERIS in North Sea and Western English Channel Coastal Waters, Remote Sens. Environ., 118, 320–338, https://doi.org/10.1016/j.rse.2011.11.019, 2012. a
Tilstone, G. H., Pardo, S., Dall'Olmo, G., Brewin, R. J., Nencioli, F., Dessailly, D., Kwiatkowska, E., Casal, T., and Donlon, C.: Performance of Ocean Colour Chlorophyll a algorithms for Sentinel-3 OLCI, MODIS-Aqua and Suomi-VIIRS in open-ocean waters of the Atlantic, Remote Sens. Environ., 260, 112444, https://doi.org/10.1016/j.rse.2021.112444, 2021. a, b, c, d, e
Vabson, V., Ansko, I., Duong, K., Vendt, R., Kuusk, J., Ruddick, K., Bialek, A., Tilstone, G. H., Gossn, J. I., and Kwiatkowska, E.: Complete characterization of ocean color radiometers, Front. Remote Sens., 5, 1–15, https://doi.org/10.3389/frsen.2024.1320454, 2024. a
Valente, A., Sathyendranath, S., Brotas, V., Groom, S., Grant, M., Jackson, T., Chuprin, A., Taberner, M., Airs, R., Antoine, D., Arnone, R., Balch, W. M., Barker, K., Barlow, R., Bélanger, S., Berthon, J.-F., Beşiktepe, Ş., Borsheim, Y., Bracher, A., Brando, V., Brewin, R. J. W., Canuti, E., Chavez, F. P., Cianca, A., Claustre, H., Clementson, L., Crout, R., Ferreira, A., Freeman, S., Frouin, R., García-Soto, C., Gibb, S. W., Goericke, R., Gould, R., Guillocheau, N., Hooker, S. B., Hu, C., Kahru, M., Kampel, M., Klein, H., Kratzer, S., Kudela, R., Ledesma, J., Lohrenz, S., Loisel, H., Mannino, A., Martinez-Vicente, V., Matrai, P., McKee, D., Mitchell, B. G., Moisan, T., Montes, E., Muller-Karger, F., Neeley, A., Novak, M., O'Dowd, L., Ondrusek, M., Platt, T., Poulton, A. J., Repecaud, M., Röttgers, R., Schroeder, T., Smyth, T., Smythe-Wright, D., Sosik, H. M., Thomas, C., Thomas, R., Tilstone, G., Tracana, A., Twardowski, M., Vellucci, V., Voss, K., Werdell, J., Wernand, M., Wojtasiewicz, B., Wright, S., and Zibordi, G.: A compilation of global bio-optical in situ data for ocean colour satellite applications – version three, Earth Syst. Sci. Data, 14, 5737–5770, https://doi.org/10.5194/essd-14-5737-2022, 2022. a
Van Heukelem, L. and Thomas, C. S.: Computer-assisted high-performance liquid chromatography method development with applications to the isolation and analysis of phytoplankton pigments., J. Chromatogr. A, 910, 31–49, https://doi.org/10.1016/S0378-4347(00)00603-4, 2001. a, b, c
Werdell, P. J., Proctor, C. W., Boss, E., Leeuw, T., and Ouhssain, M.: Underway sampling of marine inherent optical properties on the Tara Oceans expedition as a novel resource for ocean color satellite data product validation, Methods in Oceanography, 7, 40–51, https://doi.org/10.1016/j.mio.2013.09.001, 2013. a
Werdell, P. J., McKinna, L. I., Boss, E., Ackleson, S. G., Craig, S. E., Gregg, W. W., Lee, Z., Maritorena, S., Roesler, C. S., Rousseaux, C. S., Stramski, D., Sullivan, J. M., Twardowski, M. S., Tzortziou, M., and Zhang, X.: An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing, Prog. Oceanogr., 160, 186–212, https://doi.org/10.1016/j.pocean.2018.01.001, 2018. a
Werdell, P. J., Behrenfeld, M. J., Bontempi, P. S., Boss, E. S., Cairns, B., Davis, G. T., Franz, B. A., Gliese, U. B., Gorman, E. T., Hasekamp, O. P., Knobelspiesse, K. D., Mannino, A., Martins, J. V., McClain, C. R., Meister, G., and Remer, L. A.: The Plankton, Aerosol, Cloud, Ocean Ecosystem Mission: Status, Science, Advances, B. Am. Meteorol. Soc., 100, 1775–1794, https://doi.org/10.1175/BAMS-D-18-0056.1, 2019. a
Zaneveld, J. R. V. and Pegau, W. S.: Robust underwater visibility parameter, Opt. Express, 11, 2997–3009, https://doi.org/10.1364/OE.11.002997, 2003. a, b
Zapata, M., Rodríguez, F., and Garrido, J. L.: Separation of chlorophylls and carotenoids from marine phytoplankton: A new HPLC method using a reversed phase C8 column and pyridine-containing mobile phases, Mar. Ecol. Prog. Ser., 195, 29–45, https://doi.org/10.3354/meps195029, 2000. a, b, c
Short summary
We present a compilation of water optical properties and phytoplankton pigments from the surface of the Atlantic Ocean collected during nine cruises between 2009 and 2019. We derive continuous Chlorophyll a concentrations (a biomass proxy) from water absorption. We then illustrate geographical variations and relationships for water optical properties, Chlorophyll a, and other pigments. The dataset will be useful to researchers in ocean optics, remote sensing, ecology, and biogeochemistry.
We present a compilation of water optical properties and phytoplankton pigments from the surface...
Altmetrics
Final-revised paper
Preprint