Phytoplankton composition, classification and biomass from Kelbra Reservoir (Germany) during the Inland Water Remote Sensing Validation Campaign 2017
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PANGAEA
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2023
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| _version_ | 1867170365301587968 |
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| author | Korman, Birgit |
| author_facet | Korman, Birgit |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_895379 |
| institution | PANGAEA |
| language | en |
| publishDate | 2023 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Phytoplankton composition, classification and biomass from Kelbra Reservoir (Germany) during the Inland Water Remote Sensing Validation Campaign 2017 Korman, Birgit Area/locality; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Kelbra-S0862_PHYTO; Kelbra-S0863_PHYTO; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Taxon/taxa; Time Stamp |
| title | Phytoplankton composition, classification and biomass from Kelbra Reservoir (Germany) during the Inland Water Remote Sensing Validation Campaign 2017 |
| topic | Area/locality; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Kelbra-S0862_PHYTO; Kelbra-S0863_PHYTO; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Taxon/taxa; Time Stamp |
| url | https://doi.org/10.1594/PANGAEA.895379 |