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

Dataset

DOI

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.

For more details or other computations please contact Helena Hauss.

Identifier
DOI	https://doi.org/10.1594/PANGAEA.947826
Related Identifier	IsPartOf https://doi.org/10.1594/PANGAEA.947833
Metadata Access	https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.947826

Provenance
Creator	Lischka, Silke ; Ayón, Patricia; Pinedo Arteaga, Elda Luz; Schukat, Anna ; Taucher, Jan ; Kiko, Rainer ; Hauss, Helena ; Dorschner, Sabrina; Hagen, Wilhelm ; Segura-Noguera, Mariona
Publisher	PANGAEA
Publication Year	2023
Funding Reference	Agence Nationale de la Recherche https://doi.org/10.13039/501100001665 Crossref Funder ID ANR-19-MPGA-0012 Make Our Planet Great Again grant; Federal Ministry of Education and Research https://doi.org/10.13039/501100002347 Crossref Funder ID 03F0813A https://foerderportal.bund.de/foekat/jsp/SucheAction.do?actionMode=view&fkz=03F0813A Küstennahe Auftriebsgebiete CUSCO: Auswirkungen geänderter Auftriebsintensitäten auf Struktur, Funktion und Produktivität pelagischer Nahrungsnetze im peruanischen Humboldt-Auftriebsgebiet; German Research Foundation https://doi.org/10.13039/501100001659 Crossref Funder ID 27542298 https://gepris.dfg.de/gepris/projekt/27542298 Climate - Biogeochemistry Interactions in the Tropical Ocean; German Research Foundation https://doi.org/10.13039/501100001659 Crossref Funder ID RI-598/9-1 Leibniz Award 2012
Rights	Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess	true

Representation
Resource Type	Dataset
Format	text/tab-separated-values
Size	2430 data points
Discipline	Biogeochemistry; Biospheric Sciences; Geosciences; Natural Sciences
Spatial Coverage	(-77.235 LON, -12.055 LAT)
Temporal Coverage Begin	2017-02-26T00:00:00Z
Temporal Coverage End	2017-04-14T00:00:00Z