Articles | Volume 15, issue 9
https://doi.org/10.5194/essd-15-4163-2023
© Author(s) 2023. 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-15-4163-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Sep 2023
Data description paper |
| 22 Sep 2023
| 22 Sep 2023
Bio-optical properties of the cyanobacterium Nodularia spumigena
Shungudzemwoyo P. Garaba
CORRESPONDING AUTHOR
Marine Sensor Systems Group, Center for Marine Sensors, Institute
for Chemistry and Biology of the Marine Environment, Carl von Ossietzky
University of Oldenburg, Schleusenstraße 1, 26382 Wilhelmshaven, Germany
Michelle Albinus
Marine Sensor Systems Group, Center for Marine Sensors, Institute
for Chemistry and Biology of the Marine Environment, Carl von Ossietzky
University of Oldenburg, Schleusenstraße 1, 26382 Wilhelmshaven, Germany
Guido Bonthond
Environmental Biochemistry Group, Institute for Chemistry and Biology
of the Marine Environment, Carl von Ossietzky University of Oldenburg,
Schleusenstraße 1, 26382 Wilhelmshaven, Germany
Sabine Flöder
Plankton Ecology Group, Institute for Chemistry and Biology of the
Marine Environment, Carl von Ossietzky University of Oldenburg,
Schleusenstraße 1, 26382 Wilhelmshaven, Germany
Mario L. M. Miranda
Laboratorio de la Calidad del Agua y Aire, Universidad de Panamá, P.O. Box 0824, Panama City, Panama
Sistema Nacional de Investigación, Secretaría Nacional de
Ciencia y Tecnologías, P.O. Box 0816-02852, Panama City, Panama
Sven Rohde
Environmental Biochemistry Group, Institute for Chemistry and Biology
of the Marine Environment, Carl von Ossietzky University of Oldenburg,
Schleusenstraße 1, 26382 Wilhelmshaven, Germany
Joanne Y. L. Yong
Plankton Ecology Group, Institute for Chemistry and Biology of the
Marine Environment, Carl von Ossietzky University of Oldenburg,
Schleusenstraße 1, 26382 Wilhelmshaven, Germany
Jochen Wollschläger
Marine Sensor Systems Group, Center for Marine Sensors, Institute
for Chemistry and Biology of the Marine Environment, Carl von Ossietzky
University of Oldenburg, Schleusenstraße 1, 26382 Wilhelmshaven, Germany
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An update of data compilation on the biological response to ocean acidification and overview of the OA-ICC data portal
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Metazoan zooplankton in the Bay of Biscay: a 16-year record of individual sizes and abundances obtained using the ZooScan and ZooCAM imaging systems
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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
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Revised manuscript accepted for ESSD
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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
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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
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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
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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
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This article describes a long-term (2004–2022) dataset from an in situ instrumented station located in the eastern English Channel and belonging to the COAST-HF network (ILICO). It provides high temporal resolution (sub-hourly) oceanographic and meteorological measurements. The MAREL Carnot dataset can be used to conduct research in marine ecology, oceanography, and data science. It was utilized to characterize recurrent, rare, and extreme events in the coastal area.
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
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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
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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
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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
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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
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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
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The Suivi Regional des Nutriments (SRN) data set includes long-term time series on marine phytoplankton and physicochemical measures in the eastern English Channel and the Southern Bight of the North Sea. These data sets should be useful for comparing contrasted coastal marine ecosystems to further knowledge about the direct and indirect effects of human pressures and environmental changes on ecosystem structure and function, including eutrophication and harmful algal bloom issues.
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
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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
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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
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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
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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
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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
Böddi, B., Kis-Petik, K., Kaposi, A. D., Fidy, J., and Sundqvist, C.:
The two spectroscopically different short wavelength protochlorophyllide
forms in pea epicotyls are both monomeric, Biochim. Biophys. Acta Bioenerg.,
1365, 531–540, https://doi.org/10.1016/S0005-2728(98)00106-6, 1998.
Bracher, A., Bouman, H. A., Brewin, R. J. W., Bricaud, A., Brotas, V.,
Ciotti, A. M., Clementson, L., Devred, E., Di Cicco, A., Dutkiewicz, S.,
Hardman-Mountford, N. J., Hickman, A. E., Hieronymi, M., Hirata, T., Losa,
S. N., Mouw, C. B., Organelli, E., Raitsos, D. E., Uitz, J., Vogt, M., and
Wolanin, A.: Obtaining phytoplankton diversity from ocean color: A
scientific roadmap for future development, Front. Mar. Sci., 4, 55,
https://doi.org/10.3389/fmars.2017.00055, 2017.
Campbell, D., Hurry, V., Clarke, A. K., Gustafsson, P., and Öquist, G.:
Chlorophyll fluorescence analysis of cyanobacterial photosynthesis and
acclimation, Microbiol. Mol. Biol. Rev., 62, 667–683,
https://doi.org/10.1128/MMBR.62.3.667-683.1998, 1998.
Carmichael, W. W.: Cyanobacteria secondary metabolites—the cyanotoxins, J.
Appl. Bacteriol., 72, 445–459, https://doi.org/10.1111/j.1365-2672.1992.tb01858.x, 1992.
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.
Chapra, S. C., Boehlert, B., Fant, C., Bierman, V. J., Henderson, J., Mills,
D., Mas, D. M. L., Rennels, L., Jantarasami, L., Martinich, J., Strzepek, K.
M., and Paerl, H. W.: Climate change impacts on harmful algal blooms in U.S.
freshwaters: A screening-level assessment, Environ. Sci. Technol., 51,
8933–8943, https://doi.org/10.1021/acs.est.7b01498, 2017.
Coble, P. G.: Characterization of marine and terrestrial DOM in seawater
using excitation-emission matrix spectroscopy, Mar. Chem., 51, 325–346,
https://doi.org/10.1016/0304-4203(95)00062-3, 1996.
Coble, P. G.: Marine optical biogeochemistry: The chemistry of ocean color,
Chem. Rev., 107, 402–418, https://doi.org/10.1021/cr050350+, 2007.
da Silveira, S. B., Wasielesky, W., Andreote, A. P. D., Fiore, M. F., and
Odebrecht, C.: Morphology, phylogeny, growth rate and nodularin production
of Nodularia spumigena from Brazil, Mar. Biol. Res., 13, 1095–1107,
https://doi.org/10.1080/17451000.2017.1336587, 2017.
Dierssen, H., McManus, G. B., Chlus, A., Qiu, D., Gao, B.-C., and Lin, S.:
Space station image captures a red tide ciliate bloom at high spectral and
spatial resolution, P. Natl. Acad. Sci. USA, 112, 14783–14787,
https://doi.org/10.1073/pnas.1512538112, 2015.
Donkor, V. A. and Häder, D. P.: Effects of ultraviolet irradiation on
photosynthetic pigments in some filamentous cyanobacteria, Aquat. Microb.
Ecol., 11, 143–149, https://doi.org/10.3354/ame011143, 1996.
Francis, G.: Poisonous Australian Lake, Nature, 18, 11–12,
https://doi.org/10.1038/018011d0, 1878.
Galat, D. L., Verdin, J. P., and Sims, L. L.: Large-scale patterns of
Nodularia spumigena blooms in Pyramid Lake, Nevada, determined from Landsat
imagery: 1972–1986, Hydrobiologia, 197, 147–164, https://doi.org/10.1007/BF00026947,
1990.
Gao, Z. and Guéguen, C.: Size distribution of absorbing and fluorescing
DOM in Beaufort Sea, Canada Basin, Deep-Sea Res. Pt. I, 121, 30–37,
https://doi.org/10.1016/j.dsr.2016.12.014, 2017.
Garaba, S. and Bonthond, G.: Uncultured Nodularia sp. clone
Banta_env18 ribulose 1,5-biphosphate carboxylase large
subunit (rbcL) gene, partial cds; chaperonin-like protein (rbcX) gene,
complete cds; and ribulose 1,5-bisphosphate carboxylase small subunit (rbcS)
gene, partial cds, GenBank® nucleic acid sequence database [data set], https://www.ncbi.nlm.nih.gov, https://www.ncbi.nlm.nih.gov/nuccore/OP925098 (last access: 15 September 2023), 2022a.
Garaba, S. and Bonthond, G.: Nodularia spumigena 16S rRNA gene,
environmental sample Lake Bante. Uncultured Nodularia sp. clone 1 16S
ribosomal RNA gene, partial sequence, GenBank® nucleic acid sequence database [data set],
https://www.ncbi.nlm.nih.gov, https://www.ncbi.nlm.nih.gov/nuccore/OP918142 (last access: 15 September 2023), 2022b.
Garaba, S. P.: Spectral reflectance measurements of water sample from a
Nodularia spumigena bloom event on Lake Bante in Wilhelmshaven, Germany,
4TU.ResearchData Dataset. Avaialable on-line [https://researchdata.4tu.nl/], https://doi.org/10.4121/21814977.v1, 2023.
Garaba, S. P. and Albinus, M.: Secchi disk measurements during Nodularia
spumigena bloom on Lake Bante in Wilhemshaven, Germany, PANGAEA [data set],
https://doi.org/10.1594/PANGAEA.951239, 2022.
Garaba, S. P. and Albinus, M.: Spectral radiance measurements during a
Nodularia spumigena bloom event on Lake Bante in Wilhelmshaven, Germany,
4TU.ResearchData [Data set], https://doi.org/10.4121/21814773.v1, 2023.
Garaba, S. P. and Dierssen, H. M.: Hyperspectral ultraviolet to shortwave infrared characteristics of marine-harvested, washed-ashore and virgin plastics, Earth Syst. Sci. Data, 12, 77–86, https://doi.org/10.5194/essd-12-77-2020, 2020.
Garaba, S. P. and Zielinski, O.: Methods in reducing surface reflected
glint for shipborne above-water remote sensing, J. Eur. Opt. Soc.-Rapid,
8, 13058, https://doi.org/10.2971/jeos.2013.13058, 2013.
Garaba, S. P., Arias, M., Corradi, P., Harmel, T., de Vries, R., and
Lebreton, L.: Concentration, anisotropic and apparent colour effects on
optical reflectance properties of virgin and ocean-harvested plastics, J.
Hazard. Mater., 406, 124290, https://doi.org/10.1016/j.jhazmat.2020.124290, 2021.
Glibert, P. M., Anderson, D. M., Gentien, P., Graneli, E., and Sellner, K.
G.: The global complex phenomena of harmful algal blooms, Oceanography, 18,
136–147, 2005.
Gröndahl, F.: Removal of surface blooms of the cyanobacteria Nodularia
spumigena: A pilot project conducted in the Baltic Sea, AMBIO, 38, 79–84,
2009.
Guiry, M. D. and Guiry, G. M.: AlgaeBase, World-wide electronic
publication, https://www.algaebase.org (last access: 15 September 2023), 2021.
Hallegraeff, G. M., Anderson, D. M., and Cembella, A. D.: Manual on harmful
marine microalgae, in: Monographs on oceanographic methodology 11, UNESCO
Publishing, France, ISBN 92-3-103871-0, https://unesdoc.unesco.org/ark:/48223/pf0000131711 (last access: 15 September 2023), 2003.
Horstmann, U.: Eutrophication and mass production of blue-green algae in the
Baltic, Merentutkimuslait. Julk. Havsforskningsinst. Skr., 239 pp., 83–90,
1975.
Horváth, H., Kovács, A. W., Riddick, C., and Présing, M.:
Extraction methods for phycocyanin determination in freshwater filamentous
cyanobacteria and their application in a shallow lake, Eur. J. Phycol., 48,
278–286, https://doi.org/10.1080/09670262.2013.821525, 2013.
Hu, C.: Hyperspectral reflectance spectra of floating matters derived from Hyperspectral Imager for the Coastal Ocean (HICO) observations, Earth Syst. Sci. Data, 14, 1183–1192, https://doi.org/10.5194/essd-14-1183-2022, 2022.
Hu, C., Qi, L., Xie, Y., Zhang, S., and Barnes, B. B.: Spectral
characteristics of sea snot reflectance observed from satellites:
Implications for remote sensing of marine debris, Remote Sens. Environ.,
269, 112842, https://doi.org/10.1016/j.rse.2021.112842, 2022.
Hu, L., Hu, C., and Ming-Xia, H. E.: Remote estimation of biomass of Ulva
prolifera macroalgae in the Yellow Sea, Remote Sens. Environ., 192, 217–227,
https://doi.org/10.1016/j.rse.2017.01.037, 2017.
Hudson, N., Baker, A., and Reynolds, D.: Fluorescence analysis of dissolved
organic matter in natural, waste and polluted waters – a review, River Res.
Appl., 23, 631–649, https://doi.org/10.1002/rra.1005, 2007.
IOCCG: Observation of harmful algal blooms with ocean colour radiometry,
Reports of the International Ocean Colour Coordinating Group, No. 20, edited
by: Bernard, S., Kudela, R., Robertson Lain, L., and Pitcher, G. C.,
Dartmouth, Canada, 165 pp., https://doi.org/10.25607/OBP-1042, 2021.
Kahru, M., Horstmann, U., and Rud, O.: Satellite detection of increased
cyanobacterial blooms in Baltic Sea: Natural fluctuation or ecosystem
change?, AMBIO, 23, 469–472, 1994.
Kahru, M. and Elmgren, R.: Multidecadal time series of satellite-detected accumulations of cyanobacteria in the Baltic Sea, Biogeosciences, 11, 3619–3633, https://doi.org/10.5194/bg-11-3619-2014, 2014.
Kahru, M., Brotas, V., Manzano-Sarabia, M., and Mitchell, B. G.: Are
phytoplankton blooms occurring earlier in the Arctic?, Glob. Change Biol.,
17, 1733–1739, https://doi.org/10.1111/j.1365-2486.2010.02312.x, 2011.
Kanoshina, I., Lips, U., and Leppänen, J.-M.: The influence of weather
conditions (temperature and wind) on cyanobacterial bloom development in the
Gulf of Finland (Baltic Sea), Harmful Algae, 2, 29–41,
https://doi.org/10.1016/S1568-9883(02)00085-9, 2003.
Karlberg, M. and Wulff, A.: Impact of temperature and species interaction
on filamentous cyanobacteria may be more important than salinity and
increased pCO2 levels, Mar. Biol., 160, 2063–2072,
https://doi.org/10.1007/s00227-012-2078-3, 2013.
Karlson, B., Andersen, P., Arneborg, L., Cembella, A., Eikrem, W., John, U., West, J. J., Klemm, K., Kobos, J., Lehtinen, S., Lundholm, N., Mazur-Marzec,
H., Naustvoll, L., Poelman, M., Provoost, P., De Rijcke, M., and Suikkanen,
S.: Harmful algal blooms and their effects in coastal seas of Northern
Europe, Harmful Algae, 102, 101989, https://doi.org/10.1016/j.hal.2021.101989, 2021.
Karlsson, K. M., Kankaanpää, H. T., Huttunen, M., and Meriluoto, J.:
First observation of microcystin-LR in pelagic cyanobacterial blooms in the
northern Baltic Sea, Harmful Algae, 4, 163–166,
https://doi.org/10.1016/j.hal.2004.02.002, 2005.
Khan, S. I., Zamyadi, A., Rao, N. R. H., Li, X., Stuetz, R. M., and
Henderson, R. K.: Fluorescence spectroscopic characterisation of algal
organic matter: towards improved in situ fluorometer development, Environ.
Sci. Water Res. Technol., 5, 417–432, https://doi.org/10.1039/C8EW00731D, 2019.
Kirk, J. T. O.: Point-source integrating-cavity absorption meter:
theoretical principles and numerical modeling, Appl. Optics, 36, 6123–6128,
https://doi.org/10.1364/AO.36.006123, 1997.
Kirk, J. T. O.: Light and photosynthesis in aquatic ecosystems, Cambridge
University Press, Cambridge, United Kingdom, 662 pp., ISBN 978-0-521-15175-7, 2011.
Komárek, J.: Cyanoprokaryota -3. Teil/Part 3: Heterocytous genera,
Süßwasserflora von Mitteleuropa/Freshwater Flora of Central Europe,
19/3, edited by: Büdel, B., Gärtner, G., Krienitz, L., and Schagerl,
M., Springer Spektrum, Heidelberg, Germany, XVIII, 1131 pp., ISBN 978-3-8274-0932-4, 2013.
Kwon, H. K., Kim, G., Lim, W. A., and Park, J. W.: In-situ production of
humic-like fluorescent dissolved organic matter during Cochlodinium
polykrikoides blooms, Estuar. Coast. Shelf S., 203, 119–126,
https://doi.org/10.1016/j.ecss.2018.02.013, 2018.
Lehtimaki, J., Moisander, P., Sivonen, K., and Kononen, K.: Growth, nitrogen
fixation, and nodularin production by two baltic sea cyanobacteria, Appl.
Environ. Microbiol., 63, 1647–1656, https://doi.org/10.1128/aem.63.5.1647-1656.1997,
1997.
Lehtimäki, J., Lyra, C., Suomalainen, S., Sundman, P., Rouhiainen, L.,
Paulin, L., Salkinoja-Salonen, M., and Sivonen, K.: Characterization of
Nodularia strains, cyanobacteria from brackish waters, by genotypic and
phenotypic methods, Int. J. Syst. Evol., 50, 1043–1053,
https://doi.org/10.1099/00207713-50-3-1043, 2000.
Leppänen, J.-M., Rantajärvi, E., Hällfors, S., Kruskopf, M., and
Laine, V.: Unattended monitoring of potentially toxic phytoplankton species
in the Baltic Sea in 1993, J. Plankton Res., 17, 891–902,
https://doi.org/10.1093/plankt/17.4.891, 1995.
Lin, H. and Guo, L.: Variations in colloidal DOM composition with molecular
weight within individual water samples as characterized by flow field-flow
fractionation and EEM-PARAFAC analysis, Environ. Sci. Technol., 54,
1657–1667, https://doi.org/10.1021/acs.est.9b07123, 2020.
Liutkus, A.: Scale-space peak picking: Inria, Speech Processing Team,
Inria
Nancy – Grand Est, Villers-lès-Nancy, France, https://hal.inria.fr/hal-01103123 (last access: 15 September 2023), 2015.
Lopes, R., Miranda, M. L., Schütte, H., Gassmann, S., and Zielinski, O.:
Microfluidic approach for controlled ultraviolet treatment of colored and
fluorescent dissolved organic matter, Spectrochim. Acta, 239, 118435, https://doi.org/10.1016/j.saa.2020.118435, 2020.
Mazur, H. and Pliński, M.: Nodularia spumigena blooms and the
occurrence of hepatotoxin in the Gulf of Gdańsk, Oceanologia, 45,
305–316, 2003.
McKinna, L. I. W., Furnas, M. J., and Ridd, P. V.: A simple, binary
classification algorithm for the detection of Trichodesmium spp. within the
Great Barrier Reef using MODIS imagery, Limnol. Oceanogr. Meth., 9, 50–66,
https://doi.org/10.4319/lom.2011.9.50, 2011.
Miranda, M. L., Mustaffa, N. I. H., Robinson, T. B., Stolle, C.,
Ribas-Ribas, M., Wurl, O., and Zielinski, O.: Influence of solar radiation
on biogeochemical parameters and fluorescent dissolved organic matter (FDOM)
in the sea surface microlayer of the southern coastal North Sea, Elem. Sci.
Anth., 6, 15, https://doi.org/10.1525/elementa.278, 2018.
Miranda, M. L., Osterholz, H., Giebel, H. A., Bruhnke, P., Dittmar, T., and
Zielinski, O.: Impact of UV radiation on DOM transformation on molecular
level using FT-ICR-MS and PARAFAC, Spectrochim. Acta, 230, 118027, https://doi.org/10.1016/j.saa.2020.118027, 2020.
Miranda, M. L. M. and Garaba, S. P.: Raw absorbance and fluorescence
measurements of water samples during Nodularia spumigena 2021 bloom event on
Lake Bante in Wilhelmshaven, Germany, 4TU.ResearchData [data set], https://doi.org/10.4121/21904632.v1, 2023.
Miranda, M. L. M., Albinus, M., and Garaba, S. P.: Raw absorbance and
fluorescence measurements of water samples during Nodularia spumigena bloom
event on Lake Bante in Wilhelmshaven, Germany, 4TU.ResearchData [data set],
https://doi.org/10.4121/21822051.v1, 2023.
Murphy, K. R., Stedmon, C. A., Graeber, D., and Bro, R.: Fluorescence
spectroscopy and multi-way techniques, PARAFAC, Anal. Methods-UK, 5, 6557–6566,
https://doi.org/10.1039/C3AY41160E, 2013.
Murphy, K. R., Stedmon, C. A., Wenig, P., and Bro, R.: OpenFluor – an online
spectral library of auto-fluorescence by organic compounds in the
environment, Anal. Methods-UK, 6, 658-661, https://doi.org/10.1039/C3AY41935E, 2014.
Myśliwa-Kurdziel, B., Amirjani, M. R., Strzałka, K., and Sundqvist,
C.: Fluorescence lifetimes of protochlorophyllide in plants with different
proportions of short-wavelength and long-wavelength protochlorophyllide
spectral forms, Photochem. Photobiol., 78, 205–212,
https://doi.org/10.1562/0031-8655(2003)0780205FLOPIP2.0.CO2, 2003.
Nehring, S.: Mortality of dogs associated with a mass development of
Nodularia spumigena (Cyanophyceae) in a brackish lake at the German North
Sea coast, J. Plankton Res., 15, 867–872, https://doi.org/10.1093/plankt/15.7.867, 1993.
Olofsson, M., Suikkanen, S., Kobos, J., Wasmund, N., and Karlson, B.:
Basin-specific changes in filamentous cyanobacteria community composition
across four decades in the Baltic Sea, Harmful Algae, 91, 101685,
https://doi.org/10.1016/j.hal.2019.101685, 2020.
Osburn, C. L., Mikan, M. P., Etheridge, J. R., Burchell, M. R., and Birgand,
F.: Seasonal variation in the quality of dissolved and particulate organic
matter exchanged between a salt marsh and its adjacent estuary, J. Geophys.
Res.-Biogeo., 120, 1430–1449, https://doi.org/10.1002/2014JG002897, 2015.
Öström, B.: Fertilization of the Baltic by nitrogen fixation in the
blue-green alga Nodularia Spumigena, Remote Sens. Environ., 4, 305–310,
https://doi.org/10.1016/0034-4257(75)90026-7, 1976.
Remelli, W. and Santabarbara, S.: Excitation and emission wavelength
dependence of fluorescence spectra in whole cells of the cyanobacterium
Synechocystis sp. PPC6803: Influence on the estimation of Photosystem II
maximal quantum efficiency, Biochim. Biophys. Acta, 1859,
1207–1222, https://doi.org/10.1016/j.bbabio.2018.09.366, 2018.
Repeta, D. J.: Chapter 2 – Chemical characterization and cycling of
dissolved organic matter, in: Biogeochemistry of marine dissolved organic
matter, 2nd Edn., edited by: Hansell, D. A. and Carlson, C. A.,
Academic Press, Boston, USA, 21–63, https://doi.org/10.1016/B978-0-12-405940-5.00002-9, 2015.
Ritchie, R. J.: Universal chlorophyll equations for estimating chlorophylls
Rohde, S., Albinus, M., and Garaba, S. P.: Chlorophyll-a and phycocyanin
concentrations from a Nodularia spumigena bloom event on Lake Bante in
Wilhelmshaven, Germany, 4TU.ResearchData [data set],
https://doi.org/10.4121/21792665.v1, 2023.
Röttgers, R. and Doerffer, R.: Measurements of optical absorption by
chromophoric dissolved organic matter using a point-source
integrating-cavity absorption meter, Limnol. Oceanogr. Meth., 5, 126–135,
https://doi.org/10.4319/lom.2007.5.126, 2007.
Rowan, K. S.: Photosynthetic pigments of algae, Cambridge University Press,
United States of America, xiii, 334, ill. pp., ISBN 0521301769, 1989.
Seppälä, J., Ylöstalo, P., Kaitala, S., Hällfors, S.,
Raateoja, M., and Maunula, P.: Ship-of-opportunity based phycocyanin
fluorescence monitoring of the filamentous cyanobacteria bloom dynamics in
the Baltic Sea, Estuar. Coast. Shelf S., 73, 489–500,
https://doi.org/10.1016/j.ecss.2007.02.015, 2007.
Sidler, W. A.: Phycobilisome and phycobiliprotein structures, in: The
molecular biology of cyanobacteria, edited by: Bryant, D. A., Springer
Netherlands, Dordrecht, 139–216, https://doi.org/10.1007/978-94-011-0227-8_7, 1994.
Sivonen, K., Kononen, K., Carmichael, W. W., Dahlem, A. M., Rinehart, K. L.,
Kiviranta, J., and Niemela, S. I.: Occurrence of the hepatotoxic
cyanobacterium Nodularia spumigena in the Baltic Sea and structure of the
toxin, Appl. Environ. Microbiol., 55, 1990–1995,
https://doi.org/10.1128/aem.55.8.1990-1995.1989, 1989.
Smayda, T. J.: Harmful algal blooms: Their ecophysiology and general
relevance to phytoplankton blooms in the sea, Limnol. Oceanogr., 42,
1137–1153, https://doi.org/10.4319/lo.1997.42.5_part_2.1137, 1997.
Soja-Woźniak, M., Darecki, M., Wojtasiewicz, B., and Bradtke, K.:
Laboratory measurements of remote sensing reflectance of selected
phytoplankton species from the Baltic Sea, Oceanologia, 60, 86–96,
https://doi.org/10.1016/j.oceano.2017.08.001, 2018.
Stefan, G. H. S., Steef, W. M. P., and Gons, H. J.: Remote sensing of the
cyanobacterial pigment phycocyanin in turbid inland water, Limnol.
Oceanogr., 50, 237–245, https://doi.org/10.4319/lo.2005.50.1.0237, 2005.
Teikari, J. E., Fewer, D. P., Shrestha, R., Hou, S., Leikoski, N.,
Mäkelä, M., Simojoki, A., Hess, W. R., and Sivonen, K.: Strains of
the toxic and bloom-forming Nodularia spumigena (cyanobacteria) can degrade
methylphosphonate and release methane, ISME J., 12, 1619–1630,
https://doi.org/10.1038/s41396-018-0056-6, 2018.
Utermöhl, H.: Neue Wege in der quantitativen Erfassung des Plankton. (Mit
besonderer Berücksichtigung des Ultraplanktons.), SIL Proceedings,
1922–2010, Internationale Vereinigung für Theoretische und Angewandte Limnologie: Verhandlungen, 5, 567–596,
https://doi.org/10.1080/03680770.1931.11898492, 1931.
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.
Wang, G., Lee, Z., Mishra, D. R., and Ma, R.: Retrieving absorption
coefficients of multiple phytoplankton pigments from hyperspectral remote
sensing reflectance measured over cyanobacteria bloom waters, Limnol.
Oceanogr. Meth., 14, 432–447, https://doi.org/10.1002/lom3.10102, 2016.
Wasmund, N.: Occurrence of cyanobacterial blooms in the baltic sea in
relation to environmental conditions, Int. Revue ges. Hydrobiol., 82,
169–184, https://doi.org/10.1002/iroh.19970820205, 1997.
Weiwei, L., Xin, Y., Keqiang, S., Baohua, Z., and Guang, G.: Unraveling the
sources and fluorescence compositions of dissolved and particulate organic
matter (DOM and POM) in Lake Taihu, China, Environ. Sci. Pollut. Res., 26,
4027–4040, https://doi.org/10.1007/s11356-018-3873-2, 2019.
Wollschläger, J., Albinus, M., and Garaba, S. P.: Absorption
measurements of Nodularia spumigena bloom from Lake Bante in Wilhelmshaven,
Germany, 4TU.ResearchData [data set], https://doi.org/10.4121/21610995.v1, 2022.
Wünsch, U. J., Murphy, K. R., and Stedmon, C. A.: Fluorescence quantum
yields of natural organic matter and organic compounds: Implications for the
fluorescence-based interpretation of organic matter composition, Front. Mar.
Sci., 2, 98, https://doi.org/10.3389/fmars.2015.00098, 2015.
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.
These high-quality data document a harmful algal bloom dominated by Nodularia spumigena, a...
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