KOSMOS 2017 Peru mesocosm study: Abundance of zooplankton taxa determined by ZooScan
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| Autores principales: | , , , , , , , , , |
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2022
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| _version_ | 1867172179773227008 |
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| author | Lischka, Silke Ayón, Patricia Pinedo Arteaga, Elda Luz Schukat, Anna Taucher, Jan Kiko, Rainer Hauss, Helena Dorschner, Sabrina Hagen, Wilhelm Segura-Noguera, Mariona |
| author_facet | Lischka, Silke Ayón, Patricia Pinedo Arteaga, Elda Luz Schukat, Anna Taucher, Jan Kiko, Rainer Hauss, Helena Dorschner, Sabrina Hagen, Wilhelm Segura-Noguera, Mariona |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_947823 |
| institution | PANGAEA |
| language | en |
| publishDate | 2022 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | KOSMOS 2017 Peru mesocosm study: Abundance of zooplankton taxa determined by ZooScan Lischka, Silke Ayón, Patricia Pinedo Arteaga, Elda Luz Schukat, Anna Taucher, Jan Kiko, Rainer Hauss, Helena Dorschner, Sabrina Hagen, Wilhelm Segura-Noguera, Mariona Abundance; Acartia spp.; Biomass; Bivalvia; Branchiostoma spp.; Calanoida; Ceratium spp.; Climate - Biogeochemistry Interactions in the Tropical Ocean; Cnidaria; Coastal Upwelling System in a Changing Ocean; Copepoda; Copepoda, nauplii; Corycaeidae; Crustacea, larvae; CUSCO; Cyclopoida; DATE/TIME; Diatoms, centrales; Gastropoda; Gut fluorescence; Harpacticoida; Hemicyclops spp.; Humboldt Current System; KOSMOS_2017; KOSMOS_2017_Peru; KOSMOS Peru; Lipid; MESO; mesocosm experiment; Mesocosm experiment; Mesocosm label; Noctilucales; Oncaeidae; Oxygen Minimum zone; Paracalanus spp.; Polychaeta; Sample code/label; Sample volume; SFB754; Spionidae; Stable isotopes; Tintinnida; Zooplankton; ZOOSCAN 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. |
| title | KOSMOS 2017 Peru mesocosm study: Abundance of zooplankton taxa determined by ZooScan |
| topic | Abundance; Acartia spp.; Biomass; Bivalvia; Branchiostoma spp.; Calanoida; Ceratium spp.; Climate - Biogeochemistry Interactions in the Tropical Ocean; Cnidaria; Coastal Upwelling System in a Changing Ocean; Copepoda; Copepoda, nauplii; Corycaeidae; Crustacea, larvae; CUSCO; Cyclopoida; DATE/TIME; Diatoms, centrales; Gastropoda; Gut fluorescence; Harpacticoida; Hemicyclops spp.; Humboldt Current System; KOSMOS_2017; KOSMOS_2017_Peru; KOSMOS Peru; Lipid; MESO; mesocosm experiment; Mesocosm experiment; Mesocosm label; Noctilucales; Oncaeidae; Oxygen Minimum zone; Paracalanus spp.; Polychaeta; Sample code/label; Sample volume; SFB754; Spionidae; Stable isotopes; Tintinnida; Zooplankton; ZOOSCAN |
| url | https://doi.org/10.1594/PANGAEA.947823 |