Phytoplankton composition, classification and biomass from Lake Geiseltal (Germany) during the Inland Water Remote Sensing Validation Campaign 2017

Fuente: PANGAEA

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Bibliographic Details
Main Author:	Korman, Birgit
Format:	Dataset Open Access
Language:	en
Published:	PANGAEA 2023
Subjects:	Area/locality; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Geiseltalsee-S0858_PHYTO; Geiseltalsee-S0859_PHYTO; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Taxon/taxa; Time Stamp
Online Access:	Acceder al recurso
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Internet

https://doi.org/10.1594/PANGAEA.895378