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
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
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
Plankton Ecology Group, Institute for Chemistry and Biology of the
Marine Environment, Carl von Ossietzky University of Oldenburg,
Schleusenstraße 1, 26382 Wilhelmshaven, Germany
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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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...
