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PANGAEA.
Data Publisher for Earth & Environmental Science

Lischka, Silke; Ayón, Patricia; Pinedo Arteaga, Elda Luz; Schukat, Anna; Taucher, Jan; Kiko, Rainer; Hauss, Helena; Dorschner, Sabrina; Hagen, Wilhelm; Segura-Noguera, Mariona (2022): KOSMOS 2017 Peru mesocosm study: Abundance of zooplankton taxa determined by ZooScan [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.947823, In: Lischka, S et al. (2022): Response of zooplankton community succession and trophic links to simulated upwelling conditions during a mesocosm experiment in the coastal upwelling off Callao Bay (Peru) in austral summer 2017 (KOSMOS 2017 Peru mesocosm study) [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.947833

Always quote citation above when using data! You can download the citation in several formats below.

Published: 2022-09-01DOI registered: 2023-03-01

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Abstract:
This dataset shows abundance of zooplankton taxa in individuals per liter as determined by ZooScan. 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-explanatory.
Keyword(s):
Abundance; Biomass; Gut fluorescence; Humboldt Current System; Lipid; mesocosm experiment; Oxygen Minimum zone; Stable isotopes; Zooplankton
Funding:
Agence Nationale de la Recherche (ANR), grant/award no. ANR-19-MPGA-0012: Make Our Planet Great Again grant
Federal Ministry of Education and Research (BMBF), grant/award no. 03F0813A: Küstennahe Auftriebsgebiete CUSCO: Auswirkungen geänderter Auftriebsintensitäten auf Struktur, Funktion und Produktivität pelagischer Nahrungsnetze im peruanischen Humboldt-Auftriebsgebiet
German Research Foundation (DFG), grant/award no. 27542298: Climate - Biogeochemistry Interactions in the Tropical Ocean
German Research Foundation (DFG), grant/award no. RI-598/9-1: Leibniz Award 2012
Coverage:
Latitude: -12.055000 * Longitude: -77.235000
Date/Time Start: 2017-02-26T00:00:00 * Date/Time End: 2017-04-14T00:00:00
Event(s):
KOSMOS_2017_Peru * Latitude: -12.055000 * Longitude: -77.235000 * Date/Time Start: 2017-02-23T00:00:00 * Date/Time End: 2017-04-10T00:00:00 * Campaign: KOSMOS_2017 (KOSMOS Peru) * Method/Device: Mesocosm experiment (MESO)
Comment:
For more details or other computations please contact Helena Hauss.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Sample code/labelSample labelLischka, Silke
Mesocosm labelMeso labelLischka, Silke
DATE/TIMEDate/TimeLischka, SilkeGeocode
Sample volumeSamp vollLischka, Silke
CorycaeidaeCorycaeidae#/lLischka, SilkeZOOSCAN
SpionidaeSpionidae#/lLischka, SilkeZOOSCAN
NoctilucalesNoctilucales#/lLischka, SilkeZOOSCAN
PolychaetaPolychaeta#/lLischka, SilkeZOOSCAN
Diatoms, centralesDiatom cen#/lLischka, SilkeZOOSCANdiatoms_centric
10 Acartia spp.Acartia spp.#/lLischka, SilkeZOOSCAN
11 CopepodaCopepoda#/lLischka, SilkeZOOSCANlike
12 Paracalanus spp.Paracalanus spp.#/lLischka, SilkeZOOSCAN
13 Copepoda, naupliiCopepoda naup#/lLischka, SilkeZOOSCAN
14 Hemicyclops spp.Hemicyclops spp.#/lLischka, SilkeZOOSCAN
15 Ceratium spp.Ceratium spp.#/lLischka, SilkeZOOSCAN
16 TintinnidaTintinnida#/lLischka, SilkeZOOSCAN
17 ZooplanktonZoopl#/lLischka, SilkeZOOSCANmultiple_organisms
18 CalanoidaCalanoida#/lLischka, SilkeZOOSCAN
19 Diatoms, centralesDiatom cen#/lLischka, SilkeZOOSCANdiatom_chain
20 Branchiostoma spp.Branchiostoma spp.#/lLischka, SilkeZOOSCAN
21 BivalviaBivalvia#/lLischka, SilkeZOOSCAN
22 HarpacticoidaHarpacticoida#/lLischka, SilkeZOOSCAN
23 CnidariaCnidaria#/lLischka, SilkeZOOSCAN
24 CyclopoidaCyclopoida#/lLischka, SilkeZOOSCAN
25 OncaeidaeOncaeidae#/lLischka, SilkeZOOSCAN
26 GastropodaGastrop#/lLischka, SilkeZOOSCAN
27 CopepodaCopepoda#/lLischka, SilkeZOOSCANegg_sac
28 Crustacea, larvaeCrustacea larv#/lLischka, SilkeZOOSCAN
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
2430 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Sample label

Meso label

Date/Time

Samp vol [l]

Corycaeidae [#/l]

Spionidae [#/l]

Noctilucales [#/l]

Polychaeta [#/l]

Diatom cen [#/l]
(diatoms_centric)
10 
Acartia spp. [#/l]
11 
Copepoda [#/l]
(like)
12 
Paracalanus spp. [#/l]
13 
Copepoda naup [#/l]
14 
Hemicyclops spp. [#/l]
15 
Ceratium spp. [#/l]
16 
Tintinnida [#/l]
17 
Zoopl [#/l]
(multiple_organisms)
18 
Calanoida [#/l]
19 
Diatom cen [#/l]
(diatom_chain)
20 
Branchiostoma spp. [#/l]
21 
Bivalvia [#/l]
22 
Harpacticoida [#/l]
23 
Cnidaria [#/l]
24 
Cyclopoida [#/l]
25 
Oncaeidae [#/l]
26 
Gastrop [#/l]
27 
Copepoda [#/l]
(egg_sac)
28 
Crustacea larv [#/l]
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