Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-435-2025
© 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-17-435-2025
© 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
| 
05 Feb 2025
Data description paper |
| 05 Feb 2025
| 05 Feb 2025
A hyperspectral and multi-angular synthetic dataset for algorithm development in waters of varying trophic levels and optical complexity
Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine (ISMAR), Via del Fosso del Cavaliere 100, 00133 Rome, Italy
Vittorio Ernesto Brando
Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine (ISMAR), Via del Fosso del Cavaliere 100, 00133 Rome, Italy
CSIRO Environment, Aquatic Remote Sensing Team, 16 Clunies Ross Street, GPO Box 1700, Canberra ACT 2601, Australia
Related authors
Jaime Pitarch, Marco Bellacicco, Salvatore Marullo, and Hendrik J. van der Woerd
Earth Syst. Sci. Data, 13, 481–490, https://doi.org/10.5194/essd-13-481-2021, https://doi.org/10.5194/essd-13-481-2021, 2021
Short summary
Short summary
Ocean monitoring is crucial to understand the regular seasonality and the drift induced by climate change. Satellites offer a possibility to monitor the complete surface of the Earth within a few days with a harmonized methodology, reaching resolutions of few kilometres. We revisit traditional ship survey optical parameters such as the
Secchi disk depthand the
Forel–Ule indexand derive them from satellite observations. Our time series is 21 years long and has global coverage.
Jaime Pitarch, Gianluca Volpe, Simone Colella, Hajo Krasemann, and Rosalia Santoleri
Ocean Sci., 12, 379–389, https://doi.org/10.5194/os-12-379-2016, https://doi.org/10.5194/os-12-379-2016, 2016
Short summary
Short summary
Several operational satellite chlorophyll a (CHL) in the Baltic Sea were tested at a regional scale. Comparison to an extensive in situ CHL dataset showed low linearity. Bias-corrected CHL annual cycles were computed. The Gulf of Bothnia displays a single CHL peak during spring. In Skagerrak and Kattegat, there is a small bloom in spring and a minimum in summer. In the central Baltic, CHL follows a dynamic of a mild spring bloom followed by a much stronger bloom in summer.
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.
Jaime Pitarch, Marco Bellacicco, Salvatore Marullo, and Hendrik J. van der Woerd
Earth Syst. Sci. Data, 13, 481–490, https://doi.org/10.5194/essd-13-481-2021, https://doi.org/10.5194/essd-13-481-2021, 2021
Short summary
Short summary
Ocean monitoring is crucial to understand the regular seasonality and the drift induced by climate change. Satellites offer a possibility to monitor the complete surface of the Earth within a few days with a harmonized methodology, reaching resolutions of few kilometres. We revisit traditional ship survey optical parameters such as the
Secchi disk depthand the
Forel–Ule indexand derive them from satellite observations. Our time series is 21 years long and has global coverage.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Malcolm Taberner, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Elisabetta Canuti, Francisco Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Richard Gould, Stanford B. Hooker, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Hubert Loisel, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Frank Muller-Karger, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Simon Wright, and Giuseppe Zibordi
Earth Syst. Sci. Data, 11, 1037–1068, https://doi.org/10.5194/essd-11-1037-2019, https://doi.org/10.5194/essd-11-1037-2019, 2019
Short summary
Short summary
A compiled set of in situ data is useful to evaluate the quality of ocean-colour satellite data records. Here we describe the compilation of global bio-optical in situ data (spanning from 1997 to 2018) 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.
Sandro Carniel, Judith Wolf, Vittorio E. Brando, and Lakshmi H. Kantha
Ocean Sci., 13, 495–501, https://doi.org/10.5194/os-13-495-2017, https://doi.org/10.5194/os-13-495-2017, 2017
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Malcolm Taberner, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Vittorio Brando, Elisabetta Canuti, Francisco Chavez, Hervé Claustre, Richard Crout, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Richard Gould, Stanford Hooker, Mati Kahru, Holger Klein, Susanne Kratzer, Hubert Loisel, David McKee, Brian G. Mitchell, Tiffany Moisan, Frank Muller-Karger, Leonie O'Dowd, Michael Ondrusek, Alex J. Poulton, Michel Repecaud, Timothy Smyth, Heidi M. Sosik, Michael Twardowski, Kenneth Voss, Jeremy Werdell, Marcel Wernand, and Giuseppe Zibordi
Earth Syst. Sci. Data, 8, 235–252, https://doi.org/10.5194/essd-8-235-2016, https://doi.org/10.5194/essd-8-235-2016, 2016
Short summary
Short summary
A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite data records. Here we describe the compilation of global bio-optical in situ data (spanning from 1997 to 2012) 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.
Jaime Pitarch, Gianluca Volpe, Simone Colella, Hajo Krasemann, and Rosalia Santoleri
Ocean Sci., 12, 379–389, https://doi.org/10.5194/os-12-379-2016, https://doi.org/10.5194/os-12-379-2016, 2016
Short summary
Short summary
Several operational satellite chlorophyll a (CHL) in the Baltic Sea were tested at a regional scale. Comparison to an extensive in situ CHL dataset showed low linearity. Bias-corrected CHL annual cycles were computed. The Gulf of Bothnia displays a single CHL peak during spring. In Skagerrak and Kattegat, there is a small bloom in spring and a minimum in summer. In the central Baltic, CHL follows a dynamic of a mild spring bloom followed by a much stronger bloom in summer.
V. E. Brando, F. Braga, L. Zaggia, C. Giardino, M. Bresciani, E. Matta, D. Bellafiore, C. Ferrarin, F. Maicu, A. Benetazzo, D. Bonaldo, F. M. Falcieri, A. Coluccelli, A. Russo, and S. Carniel
Ocean Sci., 11, 909–920, https://doi.org/10.5194/os-11-909-2015, https://doi.org/10.5194/os-11-909-2015, 2015
Short summary
Short summary
Sea surface temperature and turbidity, derived from satellite imagery, were used to characterize river plumes in the northern Adriatic Sea during a significant flood event in November 2014. Circulation patterns and sea surface salinity, from an operational coupled ocean-wave model, supported the interpretation of the plumes' interaction with the receiving waters and among them.
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.
Related subject area
Domain: ESSD – Ocean | Subject: Biological oceanography
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
A 45-year hydrological and planktonic time series in the South Bight of the North Sea
AIGD-PFT: the first AI-driven global daily gap-free 4 km phytoplankton functional type data product from 1998 to 2023
Bivalve monitoring over French coasts: multi-decadal records of carbon and nitrogen elemental and isotopic ratios (δ13C, δ15N and C:N) as ecological indicators of global change
A Comprehensive Global Mapping of Offshore Lighting
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
A compilation of surface inherent optical properties and phytoplankton pigment concentrations from the Atlantic Meridional Transect
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
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.
David Devreker, Guillaume Wacquet, and Alain Lefebvre
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-479, https://doi.org/10.5194/essd-2024-479, 2024
Revised manuscript accepted for ESSD
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 the time series (hydrological parameters and plankton species), including long-term trends and shifts analysis. The aim of this paper is to make this valuable dataset available to help decipher the local and global influence of anthropogenic activities in a world increasingly affected by climate change.
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).
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 Discuss., https://doi.org/10.5194/essd-2024-364, https://doi.org/10.5194/essd-2024-364, 2024
Revised manuscript accepted for ESSD
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 bivalves tissues from 33 sites along French coastlines sampled since the 80’s. Thanks to such time-series, this dataset allow to track how marine species record changing climate, physical-chemical environment and organic matter cycles, and provide precious information on coastal ecosystems response to global change.
Christopher D. Elvidge, Tilottama Ghosh, Namrata Chatterjee, Mikhail Zhizhin, Paul C. Sutton, and Morgan Bazilian
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-342, https://doi.org/10.5194/essd-2024-342, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
We present a comprehensive global map of offshore lighting structures. The data are derived from low light imaging data collected nightly by the NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS) day / night band (DNB). The form of the structures only becomes apparent when data from one or more years are accumulated. Identifiable structures include fishing grounds, platforms, gas flares, anchorages, and transportation routes.
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.
Thomas M. Jordan, Giorgio Dall'Olmo, Gavin Tilstone, Robert J. W. Brewin, Francesco Nencioli, Ruth Airs, Crystal S. Thomas, and Louise Schlüter
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-267, https://doi.org/10.5194/essd-2024-267, 2024
Revised manuscript accepted for ESSD
Short summary
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 2009–2019. 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 the other pigments. The dataset will be useful to researchers in ocean optics, remote-sensing, ecology, and biogeochemistry.
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
Astoreca, R., Doxaran, D., Ruddick, K., Rousseau, V., and Lancelot, C.: Influence of suspended particle concentration, composition and size on the variability of inherent optical properties of the Southern North Sea, Cont. Shelf Res., 35, 117–128, https://doi.org/10.1016/j.csr.2012.01.007, 2012.
Aurin, D. A., Dierssen, H. M., Twardowski, M. S., and Roesler, C. S.: Optical complexity in Long Island Sound and implications for coastal ocean color remote sensing, J. Geophys. Res.-Oceans, 115, C07011, https://doi.org/10.1029/2009JC005837, 2010.
Babin, M., Stramski, D., Ferrari, G. M., Claustre, H., Bricaud, A., Obolensky, G., and Hoepffner, N.: Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe, J. Geophys. Res.-Oceans, 108, 3211, https://doi.org/10.1029/2001JC000882, 2003.
Bengil, F., McKee, D., Beşiktepe, S. T., Sanjuan Calzado, V., and Trees, C.: A bio-optical model for integration into ecosystem models for the Ligurian Sea, Prog. Oceanogr., 149, 1–15, https://doi.org/10.1016/j.pocean.2016.10.007, 2016.
Bernard, S., Probyn, T. A., and Quirantes, A.: Simulating the optical properties of phytoplankton cells using a two-layered spherical geometry, Biogeosciences Discuss., 6, 1497–1563, https://doi.org/10.5194/bgd-6-1497-2009, 2009.
Blondeau-Patissier, D., Brando, V. E., Oubelkheir, K., Dekker, A. G., Clementson, L. A., and Daniel, P.: Bio-optical variability of the absorption and scattering properties of the Queensland inshore and reef waters, Australia, J. Geophys. Res.-Oceans, 114, C05003, https://doi.org/10.1029/2008JC005039, 2009.
Blondeau-Patissier, D., Schroeder, T., Clementson, L. A., Brando, V. E., Purcell, D., Ford, P., Williams, D. K., Doxaran, D., Anstee, J., Thapar, N., and Tovar-Valencia, M.: Bio-Optical Properties of Two Neigboring Coastal Regions of Tropical Northern Australia: The Van Diemen Gulf and Darwin Harbour, Front. Mar. Sci., 4, 114, https://doi.org/10.3389/fmars.2017.00114, 2017.
Bracher, A.: Phytoplankton pigment concentrations in the Southern Ocean during RV POLARSTERN cruise PS103 in Dec 2016 to Jan 2017 [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.898941, 2019.
Bracher, A. and Liu, Y.: Spectrophotometric measurements of absorption coefficients by non-algal particles in the Atlantic Southern Ocean during RV POLARSTERN cruise PS103 in Dec 2016 to Jan 2017, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938196, 2021.
Bracher, A. and Taylor, B. B.: Phytoplankton absorption during POLARSTERN cruise ANT-XXVI/4 (PS75), PANGAEA [data set], https://doi.org/10.1594/PANGAEA.937971, 2021.
Bracher, A., Liu, Y., Hellmann, S., and Röttgers, R.: Absorption coefficients by coloured dissolved organic matter from North Sea to Fram Strait measured underway with a Liquid Waveguide Capillary Cell system during POLARSTERN cruise PS99.1, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938494, 2021a.
Bracher, A., Liu, Y., Oelker, J., and Röttgers, R.: Absorption coefficients by coloured dissolved organic matter across the South Atlantic Ocean measured underway with a Liquid Waveguide Capillary Cell system during POLARSTERN cruise PS103, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938468, 2021b.
Bracher, A., Liu, Y., and Wiegmann, S.: Spectrophotometric measurements of absorption coefficients by phytoplankton during HEINCKE cruise HE462 in the North Sea and Sogne Fjord from 29 April to 7 May 2016, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938153, 2021c.
Bracher, A., Liu, Y., and Wiegmann, S.: Spectrophotometric measurements of absorption coefficients by non-algal particles during during HEINCKE cruise HE462 in the North Sea and Sogne Fjord from 29 April to 7 May 2016, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938152, 2021d.
Bracher, A., Liu, Y., and Wiegmann, S.: Spectrophotometric measurements of absorption coefficients by non-algal particles during RV POLARSTERN cruise PS121 from 11 Aug to 10 Sep 2019, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938262, 2021e.
Bracher, A., Liu, Y., and Wiegmann, S.: Spectrophotometric measurements of absorption coefficients by phytoplankton during RV POLARSTERN cruise PS121 from 11 Aug to 10 Sep 2019, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938260, 2021f.
Bracher, A., Liu, Y., Wiegmann, S., and Röttgers, R.: Absorption coefficients by coloured dissolved organic matter obtained underway with a Liquid Waveguide Capillary Cell system during HEINCKE cruise HE462 in the North Sea and Sogne Fjord, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938384, 2021g.
Bracher, A., Liu, Y., Wiegmann, S., and Röttgers, R.: Absorption coefficients by coloured dissolved organic matter (CDOM) from North Sea to Fram Strait measured at fixed stations with a Liquid Waveguide Capillary Cell system during POLARSTERN cruise PS121, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938472, 2021h.
Bracher, A., Liu, Y., Wiegmann, S., Xi, H., and Röttgers, R.: Absorption coefficients by coloured dissolved organic matter across the Atlantic Ocean measured underway with a Liquid Waveguide Capillary Cell system during POLARSTERN cruise PS113, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938400, 2021i.
Bracher, A., Liu, Y., Xi, H., and Wiegmann, S.: Spectrophotometric measurements of absorption coefficients by non-algal particles during POLARSTERN cruise PS113 along an Atlantic Transect, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938185, 2021j.
Bracher, A., Liu, Y., Xi, H., and Wiegmann, S.: Spectrophotometric measurements of absorption coefficients by phytoplankton during POLARSTERN cruise PS113 along an Atlantic Transect, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938178, 2021k.
Bracher, A., Taylor, B. B., and Cheah, W.: Phytoplankton absorption during SONNE cruise SO218, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.937982, 2021l.
Brando, V. E. and Dekker, A. G.: Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality, IEEE T. Geosci. Remote, 41, 1378–1387, https://doi.org/10.1109/TGRS.2003.812907, 2003.
Brando, V. E., Dekker, A. G., Park, Y. J., and Schroeder, T.: Adaptive semianalytical inversion of ocean color radiometry in optically complex waters, Appl. Optics, 51, 2808–2833, https://doi.org/10.1364/AO.51.002808, 2012.
Brewin, R. J. W., Dall'Olmo, G., Sathyendranath, S., and Hardman-Mountford, N. J.: Particle backscattering as a function of chlorophyll and phytoplankton size structure in the open-ocean, Opt. Express, 20, 17632–17652, https://doi.org/10.1364/OE.20.017632, 2012.
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., 100, 13321, https://doi.org/10.1029/95JC00463, 1995.
Bricaud, A., Morel, A., Babin, M., Allali, K., and Claustre, H.: Variations of light absorption by suspended particles with chlorophyll a concentration in oceanic (case 1) waters: Analysis and implications for bio-optical models, J. Geophys. Res.-Oceans, 103, 31033–31044, https://doi.org/10.1029/98JC02712, 1998.
Casey, K. A., Rousseaux, C. S., Gregg, W. W., Boss, E., Chase, A. P., Craig, S. E., Mouw, C. B., Reynolds, R. A., Stramski, D., Ackleson, S. G., Bricaud, A., Schaeffer, B., Lewis, M. R., and Maritorena, S.: A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications, Earth Syst. Sci. Data, 12, 1123–1139, https://doi.org/10.5194/essd-12-1123-2020, 2020.
Castagna, A., Amadei Martínez, L., Bogorad, M., Daveloose, I., Dasseville, R., Dierssen, H. M., Beck, M., Mortelmans, J., Lavigne, H., Dogliotti, A., Doxaran, D., Ruddick, K., Vyverman, W., and Sabbe, K.: Optical and biogeochemical properties of diverse Belgian inland and coastal waters, Earth Syst. Sci. Data, 14, 2697–2719, https://doi.org/10.5194/essd-14-2697-2022, 2022.
Chami, M., Lafrance, B., Fougnie, B., Chowdhary, J., Harmel, T., and Waquet, F.: OSOAA: a vector radiative transfer model of coupled atmosphere-ocean system for a rough sea surface application to the estimates of the directional variations of the water leaving reflectance to better process multi-angular satellite sensors data over the ocean, Opt. Express, 23, 27829–27852, https://doi.org/10.1364/OE.23.027829, 2015.
Cherukuru, N., Davies, P. L., Brando, V. E., Anstee, J. M., Baird, M. E., Clementson, L. A., and Doblin, M. A.: Physical oceanographic processes influence bio-optical properties in the Tasman Sea, J. Sea Res., 110, 1–7, https://doi.org/10.1016/j.seares.2016.01.008, 2016.
Churilova, T., Moiseeva, N., Skorokhod, E., Efimova, T., Buchelnikov, A., Artemiev, V., and Salyuk, P.: Parameterization of Light Absorption of Phytoplankton, Non-Algal Particles and Coloured Dissolved Organic Matter in the Atlantic Region of the Southern Ocean (Austral Summer of 2020), Remote Sens., 15, 634, https://doi.org/10.3390/rs15030634, 2023.
D'Alimonte, D., Zibordi, G., Kajiyama, T., and Cunha, J. C.: Monte Carlo code for high spatial resolution ocean color simulations, Appl. Optics, 49, 4936–4950, https://doi.org/10.1364/AO.49.004936, 2010.
Dierssen, H. M., Vandermeulen, R. A., Barnes, B. B., Castagna, A., Knaeps, E., and Vanhellemont, Q.: QWIP: A Quantitative Metric for Quality Control of Aquatic Reflectance Spectral Shape Using the Apparent Visible Wavelength, Front. Remote Sens., 3, 869611, https://doi.org/10.3389/frsen.2022.869611, 2022.
Doerffer, R. and Schiller, H.: The MERIS Case 2 water algorithm, Int. J. Remote Sens., 28, 517–535, https://doi.org/10.1080/01431160600821127, 2007.
Fournier, G. R. and Forand, J. L.: Analytic phase function for ocean water, Ocean Optics, XII, 194–201, 1994.
Gonçalves-Araujo, R., Wiegmann, S., and Bracher, A.: High colored dissolved organic matter (CDOM) absorption in surface waters of the central-eastern Arctic Ocean: Implications for biogeochemistry and ocean color algorithms, PLoS ONE, 13, e0190838, https://doi.org/10.1371/journal.pone.0190838, 2018.
Gons, H. J., Burger-Wiersma, T., Otten, J. H., and Rijkeboer, M.: Coupling of phytoplankton and detritus in a shallow, eutrophic lake (Lake Loosdrecht, The Netherlands), in: Restoration and Recovery of Shallow Eutrophic Lake Ecosystems in the Netherlands, Dordrecht, edited by: L. Van Liere and Gulati, R. D., Springer, Dordrecht, 51–59, https://doi.org/10.1007/978-94-011-2432-4_5, 1992.
Gregg, W. W. and Carder, K. L.: A simple spectral solar irradiance model for cloudless maritime atmospheres, Limnol. Oceanogr., 35, 1657–1675, https://doi.org/10.4319/lo.1990.35.8.1657, 1990.
Harrison, A. W. and Coombes, C. A.: Angular distribution of clear sky short wavelength radiance, Solar Energy, 40, 57–63, 1988.
He, S., Zhang, X., Xiong, Y., and Gray, D.: A Bidirectional Subsurface Remote Sensing Reflectance Model Explicitly Accounting for Particle Backscattering Shapes, J. Geophys. Res.-Oceans, 122, 8614–8626, https://doi.org/10.1002/2017JC013313, 2017.
Hölemann, J. A., Koch, B. P., Juhls, B., and Timokhov, L.: Colored dissolved organic matter (CDOM) and dissolved organic carbon (DOC) measured during cruise TRANSDRIFT-XXII, Laptev Sea, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.924202, 2020.
IOCCG: Remote Sensing of Inherent Optical Properties: Fundamentals, Tests of Algorithms, and Applications, International Ocean-Colour Coordinating Group, IOCCG, Dartmouth, Canada, 5, 1–122, 2006.
Juhls, B., Overduin, P. P., Hölemann, J., Hieronymi, M., Matsuoka, A., Heim, B., and Fischer, J.: Dissolved organic matter at the fluvial–marine transition in the Laptev Sea using in situ data and ocean colour remote sensing, Biogeosciences, 16, 2693–2713, https://doi.org/10.5194/bg-16-2693-2019, 2019.
Lain, L. R., Kravitz, J., Matthews, M., and Bernard, S.: Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model, Sci. Data, 10, 412, https://doi.org/10.1038/s41597-023-02310-z, 2023.
Le, C., Hu, C., English, D., Cannizzaro, J., Chen, Z., Kovach, C., Anastasiou, C. J., Zhao, J., and Carder, K. L.: Inherent and apparent optical properties of the complex estuarine waters of Tampa Bay: What controls light?, Estuarine, Coast. Shelf Sci., 117, 54–69, https://doi.org/10.1016/j.ecss.2012.09.017, 2013.
Le, C., Lehrter, J. C., Hu, C., Schaeffer, B., MacIntyre, H., Hagy, J. D., and Beddick, D. L.: Relation between inherent optical properties and land use and land cover across Gulf Coast estuaries, Limnol. Oceanogr., 60, 920–933, https://doi.org/10.1002/lno.10065, 2015.
Lee, Z., Carder, K. L., and Arnone, R. A.: Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters, Appl. Optics, 41, 5755, https://doi.org/10.1364/AO.41.005755, 2002.
Lee, Z., Hu, C., Shang, S., Du, K., Lewis, M., Arnone, R., and Brewin, R.: Penetration of UV-visible solar radiation in the global oceans: Insights from ocean color remote sensing, J. Geophys. Res.-Oceans, 118, 4241–4255, https://doi.org/10.1002/jgrc.20308, 2013.
Lee, Z. P., Du, K., Voss, K. J., Zibordi, G., Lubac, B., Arnone, R., and Weidemann, A.: An inherent-optical-property-centered approach to correct the angular effects in water-leaving radiance, Appl. Optics, 50, 3155, https://doi.org/10.1364/AO.50.003155, 2011.
Liu, Y., Wiegmann, S., and Bracher, A.: Absorption coefficient spectra (median) of non-algal particles during POLARSTERN cruise PS99, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.907646, 2019a.
Liu, Y., Wiegmann, S., and Bracher, A.: Absorption coefficient spectra (median) of phytoplankton during POLARSTERN cruise PS99, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.907647, 2019b.
Liu, Y., Wiegmann, S., and Bracher, A.: Absorption coefficient spectra (median) of phytoplankton during POLARSTERN cruise PS99, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.907647, 2019c.
Liu, Y., Wiegmann, S., and Bracher, A.: Absorption coefficient spectra (median) of non-algal particles during POLARSTERN cruise PS99, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.907646, 2019d.
Loisel, H. and Morel, A.: Light scattering and chlorophyll concentration in case 1 waters: A reexamination, Limnol. Oceanogr., 43, 847–858, https://doi.org/10.4319/lo.1998.43.5.0847, 1998.
Loisel, H. and Morel, A.: Non-isotropy of the upward radiance field in typical coastal (Case 2) waters, Int. J. Remote Sens., 22, 275–295, https://doi.org/10.1080/014311601449934, 2001.
Loisel, H., Jorge, D. S. F., Reynolds, R. A., and Stramski, D.: A synthetic optical database generated by radiative transfer simulations in support of studies in ocean optics and optical remote sensing of the global ocean, Earth Syst. Sci. Data, 15, 3711–3731, https://doi.org/10.5194/essd-15-3711-2023, 2023.
Martinez-Vicente, V., Land, P. E., Tilstone, G. H., Widdicombe, C., and Fishwick, J. R.: Particulate scattering and backscattering related to water constituents and seasonal changes in the Western English Channel, J. Plankton Res., 32, 603–619, https://doi.org/10.1093/plankt/fbq013, 2010.
Mason, J. D., Cone, M. T., and Fry, E. S.: Ultraviolet (250–550 nm) absorption spectrum of pure water, Appl. Optics, 55, 7163–7172, https://doi.org/10.1364/AO.55.007163, 2016.
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.
Matthews, M. W. and Bernard, S.: Characterizing the Absorption Properties for Remote Sensing of Three Small Optically-Diverse South African Reservoirs, Remote Sens., 5, 4370–4404, 2013.
Mobley, C. D., Gentili, B., Gordon, H. R., Jin, Z., Kattawar, G. W., Morel, A., Reinersman, P., Stamnes, K., and Stavn, R. H.: Comparison of numerical models for computing underwater light fields, Appl. Optics, 32, 7484–7504, https://doi.org/10.1364/AO.32.007484, 1993.
Mobley, C. D. (Ed.): Light and Water. Radiative Transfer in Natural Waters, Academic Press, ISBN-13 978-0125027502, http://www.oceanopticsbook.info/packages/iws_l2h/conversion/files/LightandWater.zip (last access: 1 March 2024), 1994.
Mobley, C. D., Sundman, L. K., and Boss, E.: Phase function effects on oceanic light fields, Appl. Optics, 41, 1035, https://doi.org/10.1364/AO.41.001035, 2002.
Moradi, M. and Arabi, B.: Seasonal and spatial variability in bio-optical properties of the Persian Gulf: Implications for ocean color remote sensing, Cont. Shelf Res., 266, 105094, https://doi.org/10.1016/j.csr.2023.105094, 2023.
Morel, A.: Are the empirical relationships describing the bio-optical properties of case 1 waters consistent and internally compatible?, J. Geophys. Res.-Oceans, 114, C01016, https://doi.org/10.1029/2008JC004803, 2009.
Morel, A. and Gentili, B.: Diffuse reflectance of oceanic waters II Bidirectional aspects, Appl. Optics, 32, 6864, https://doi.org/10.1364/AO.32.006864, 1993.
Morel, A. and Gentili, B.: Diffuse reflectance of oceanic waters III Implication of bidirectionality for the remote-sensing problem, Appl. Optics, 35, 4850, https://doi.org/10.1364/AO.35.004850, 1996.
Morel, A. and Maritorena, S.: Bio-optical properties of oceanic waters: A reappraisal, J. Geophys. Res.-Oceans, 106, 7163–7180, https://doi.org/10.1029/2000JC000319, 2001.
Morel, A., Antoine, D., and Gentili, B.: Bidirectional reflectance of oceanic waters: accounting for Raman emission and varying particle scattering phase function, Appl. Optics, 41, 6289, https://doi.org/10.1364/AO.41.006289, 2002.
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.
Oubelkheir, K., Ford, P. W., Cherukuru, N., Clementson, L. A., Petus, C., Devlin, M., Schroeder, T., and Steven, A. D. L.: Impact of a Tropical Cyclone on Terrestrial Inputs and Bio-Optical Properties in Princess Charlotte Bay (Great Barrier Reef Lagoon), Remote Sens., 15, 652, https://doi.org/10.3390/rs15030652, 2023.
Park, Y.-J. and Ruddick, K.: Model of remote-sensing reflectance including bidirectional effects for case 1 and case 2 waters, Appl. Optics, 44, 1236–1249, https://doi.org/10.1364/AO.44.001236, 2005.
Petit, T., Hamre, B., Sandven, H., Röttgers, R., Kowalczuk, P., Zablocka, M., and Granskog, M. A.: Inherent optical properties of dissolved and particulate matter in an Arctic fjord (Storfjorden, Svalbard) in early summer, Ocean Sci., 18, 455–468, https://doi.org/10.5194/os-18-455-2022, 2022.
Pitarch, J. and Brando, V.: A hyperspectral and multi-angular synthetic dataset of optical properties for waters with varying trophic levels and optical complexity, Zenodo [data set], https://doi.org/10.5281/zenodo.11637178, 2024.
Poulin, C., Zhang, X., Yang, P., and Huot, Y.: Diel variations of the attenuation, backscattering and absorption coefficients of four phytoplankton species and comparison with spherical, coated spherical and hexahedral particle optical models, J. Quant. Spectrosc. Ra., 217, 288–304, https://doi.org/10.1016/j.jqsrt.2018.05.035, 2018.
Pykäri, J.: Light attenuation data set along a coastal salinity gradient in Pohjanpitäjänlahti bay in May 2021, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.947091, 2022.
Roettgers, R., McKee, D., and Utschig, C.: Temperature and salinity correction coefficients for light absorption by water in the visible to infrared spectral region, Opt. Express, 22, 25093–25108, https://doi.org/10.1364/OE.22.025093, 2014.
Roettgers, R., Doerffer, R., McKee, D., and Schoenfeld, W.: The Water Optical Properties Processor (WOPP): Pure Water Spectral Absorption, Scattering and Real Part of Refractive Index Model, Technical Report No WOPP-ATBD/WRD6, https://calvalportal.ceos.org/tools (last access: 22 September 2023), 2016.
Rozanov, V. V., Rozanov, A. V., Kokhanovsky, A. A., and Burrows, J. P.: Radiative transfer through terrestrial atmosphere and ocean: Software package SCIATRAN, J. Quant. Spectrosc. Ra., 133, 13–71, https://doi.org/10.1016/j.jqsrt.2013.07.004, 2014.
Soppa, M. A., Dinter, T., Taylor, B. B., and Bracher, A.: Phytoplankton absorption during POLARSTERN cruise ANT-XXVIII/3, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.819614, 2013a.
Soppa, M. A., Dinter, T., Taylor, B. B., and Bracher, A.: Particulate absorption during POLARSTERN cruise ANT-XXVIII/3, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.819613, 2013b.
Sullivan, J. M. and Twardowski, M. S.: Angular shape of the oceanic particulate volume scattering function in the backward direction, Appl. Optics, 48, 6811, https://doi.org/10.1364/AO.48.006811, 2009.
Szeto, M., Werdell, P. J., Moore, T. S., and Campbell, J. W.: Are the world's oceans optically different?, J. Geophys. Res.-Oceans, 116, C00H04, https://doi.org/10.1029/2011JC007230, 2011.
Talone, M., Zibordi, G., and Pitarch, J.: On the Application of AERONET-OC Multispectral Data to Assess Satellite-Derived Hyperspectral Rrs, IEEE Geosci. Remote Sens. Lett., 21, 1–5, https://doi.org/10.1109/LGRS.2024.3350928, 2024.
Tilstone, G. H., Peters, S. W. M., 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.
Twardowski, M. S., Boss, E., Macdonald, J. B., Pegau, W. S., Barnard, A. H., and Zaneveld, J. R. V.: A model for estimating bulk refractive index from the optical backscattering ratio and the implications for understanding particle composition in case I and case II waters, J. Geophys. Res.-Oceans, 106, 14129–14142, https://doi.org/10.1029/2000JC000404, 2001.
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.
Vandermeulen, R. A., Mannino, A., Craig, S. E., and Werdell, P. J.: 150 shades of green: Using the full spectrum of remote sensing reflectance to elucidate color shifts in the ocean, Remote Sens. Environ., 247, 111900, https://doi.org/10.1016/j.rse.2020.111900, 2020.
Werdell, P. J. and Bailey, S. W.: An improved in-situ bio-optical data set for ocean color algorithm development and satellite data product validation, Remote Sens. Environ., 98, 122–140, https://doi.org/10.1016/j.rse.2005.07.001, 2005.
Whitmire, A. L., Pegau, W. S., Karp-Boss, L., Boss, E., and Cowles, T. J.: Spectral backscattering properties of marine phytoplankton cultures, Opt. Express, 18, 15073–15093, https://doi.org/10.1364/OE.18.015073, 2010.
Wiegmann, S., Liu, Y., and Bracher, A.: Absorption coefficient spectra (median) of non-algal particles during POLARSTERN cruise PS93.2, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.907604, 2019.
Zhang, X. and Hu, L.: Light Scattering by Pure Water and Seawater: Recent Development, J. Remote Sens., 2021, 9753625, https://doi.org/10.34133/2021/9753625, 2021.
Zibordi, G. and Berthon, J.-F.: Coastal Atmosphere and Sea Time Series (CoASTS) and Bio-Optical mapping of Marine Properties (BiOMaP): the CoASTS-BiOMaP dataset, Earth Syst. Sci. Data, 16, 5477–5502, https://doi.org/10.5194/essd-16-5477-2024, 2024.
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.
This research presents a comprehensive synthetic dataset of bio-optical properties and...
Altmetrics
Final-revised paper
Preprint