KOSMOS 2017 Peru mesocosm study: Biomass of zooplankton taxa determined by ZooScan

doi:doi:10.1594/PANGAEA.947826

KOSMOS 2017 Peru mesocosm study: Biomass of zooplankton taxa determined by ZooScan

Biomass of zooplankton taxa in µg DM per liter as determined by ZooScan, using published area to dry weight relationships (Lehette & Hernandez-Leon 2009). Each data point is one sampling day (date) in one mesocosm (MK). For details on experimental treatments and sampling, refer to Bach et al. 2021 (https://doi.org/10.5194/bg-17-4831-2020) and Ayon et al. 2022 (https://doi.org/10.5194/bg-2022-157). Raw images are stored in https://ecotaxa.obs-vlfr.fr/prj/3784. All taxonomic categories are self-expanatory.

BibTex:

@dataset{Lischka_Silke_and_Ayón_Patricia_and_Pinedo_Arteaga_Elda_Luz_and_Schukat_Anna_and_Taucher_Jan_and_Kiko_Rainer_and_Hauss_Helena_and_Dorschner_Sabrina_and_Hagen_Wilhelm_and_Segura-Noguera_Mariona_2023,
    abstract = {Biomass of zooplankton taxa in µg DM per liter as determined by ZooScan, using published area to dry weight relationships (Lehette & Hernandez-Leon 2009). Each data point is one sampling day (date) in one mesocosm (MK). For details on experimental treatments and sampling, refer to Bach et al. 2021  (https://doi.org/10.5194/bg-17-4831-2020) and Ayon et al. 2022 (https://doi.org/10.5194/bg-2022-157). Raw images are stored in https://ecotaxa.obs-vlfr.fr/prj/3784. All taxonomic categories are self-expanatory.},
    author = {Lischka, Silke and Ayón, Patricia and Pinedo Arteaga, Elda Luz and Schukat, Anna and Taucher, Jan and Kiko, Rainer and Hauss, Helena and Dorschner, Sabrina and Hagen, Wilhelm and Segura-Noguera, Mariona},
    doi = {10.1594/PANGAEA.947826},
    institution = {PANGAEA (Biological Classification)},
    keyword = {'Abundance', 'Biomass', 'Gut fluorescence', 'Humboldt Current System', 'Lipid', 'Oxygen Minimun zone', 'Stable isotopes', 'Zooplankton', 'mesocosm experiment'},
    title = {KOSMOS 2017 Peru mesocosm study: Biomass of zooplankton taxa determined by ZooScan},
    url = {https://service.tib.eu/ldmservice/vdataset/png-doi-10-1594-pangaea-947826},
    year = {2023}
}