ATLANTIC_CH04_Product_4 / Phytoplankton abundance (top 3 species) time-series (1915-2014) ...
Phyto plankton Abundance: Identify the 3 most abundant phytoplankton species in the North Atlantic and calculate a timeseries of their abundance within the basin. ...
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| Format: | Dataset |
| Language: | unknown |
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EMODnet Atlantic Checkpoint
2018
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| Online Access: | https://dx.doi.org/10.12770/e2e92ca6-abcc-47a7-a90c-b27d17e47f1e http://sextant.ifremer.fr/record/e2e92ca6-abcc-47a7-a90c-b27d17e47f1e/ |
| id |
ftdatacite:10.12770/e2e92ca6-abcc-47a7-a90c-b27d17e47f1e |
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| record_format |
openpolar |
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ftdatacite:10.12770/e2e92ca6-abcc-47a7-a90c-b27d17e47f1e 2023-10-01T03:57:50+02:00 ATLANTIC_CH04_Product_4 / Phytoplankton abundance (top 3 species) time-series (1915-2014) ... Cefas 2018 https://dx.doi.org/10.12770/e2e92ca6-abcc-47a7-a90c-b27d17e47f1e http://sextant.ifremer.fr/record/e2e92ca6-abcc-47a7-a90c-b27d17e47f1e/ unknown EMODnet Atlantic Checkpoint No product The challenge was to identify the 3 most abundant phytoplankton species in the North Atlantic and then track their abundance over the last century. No objectives were achieved: • datasets that can calculate a time-series on a basin wide and species basis are not available and probably not practical. • Datasets at individual locations are available but in addition to the spatial limitation also have limited temporal coverage; • Site and cruise specific data only. • Even at genus rather than species level there is too little data to make a product that can reflect the basin. Inadequate: Impossible to produce or fails to meet all the objectives (not usable) Atlantic - CH04 - Climate Observation raw, QC Delayed Species distribution Draft Dataset dataset 2018 ftdatacite https://doi.org/10.12770/e2e92ca6-abcc-47a7-a90c-b27d17e47f1e 2023-09-04T13:07:23Z Phyto plankton Abundance: Identify the 3 most abundant phytoplankton species in the North Atlantic and calculate a timeseries of their abundance within the basin. ... Dataset North Atlantic DataCite Metadata Store (German National Library of Science and Technology) |
| institution |
Open Polar |
| collection |
DataCite Metadata Store (German National Library of Science and Technology) |
| op_collection_id |
ftdatacite |
| language |
unknown |
| topic |
Atlantic - CH04 - Climate Observation raw, QC Delayed Species distribution Draft |
| spellingShingle |
Atlantic - CH04 - Climate Observation raw, QC Delayed Species distribution Draft Cefas ATLANTIC_CH04_Product_4 / Phytoplankton abundance (top 3 species) time-series (1915-2014) ... |
| topic_facet |
Atlantic - CH04 - Climate Observation raw, QC Delayed Species distribution Draft |
| description |
Phyto plankton Abundance: Identify the 3 most abundant phytoplankton species in the North Atlantic and calculate a timeseries of their abundance within the basin. ... |
| format |
Dataset |
| author |
Cefas |
| author_facet |
Cefas |
| author_sort |
Cefas |
| title |
ATLANTIC_CH04_Product_4 / Phytoplankton abundance (top 3 species) time-series (1915-2014) ... |
| title_short |
ATLANTIC_CH04_Product_4 / Phytoplankton abundance (top 3 species) time-series (1915-2014) ... |
| title_full |
ATLANTIC_CH04_Product_4 / Phytoplankton abundance (top 3 species) time-series (1915-2014) ... |
| title_fullStr |
ATLANTIC_CH04_Product_4 / Phytoplankton abundance (top 3 species) time-series (1915-2014) ... |
| title_full_unstemmed |
ATLANTIC_CH04_Product_4 / Phytoplankton abundance (top 3 species) time-series (1915-2014) ... |
| title_sort |
atlantic_ch04_product_4 / phytoplankton abundance (top 3 species) time-series (1915-2014) ... |
| publisher |
EMODnet Atlantic Checkpoint |
| publishDate |
2018 |
| url |
https://dx.doi.org/10.12770/e2e92ca6-abcc-47a7-a90c-b27d17e47f1e http://sextant.ifremer.fr/record/e2e92ca6-abcc-47a7-a90c-b27d17e47f1e/ |
| genre |
North Atlantic |
| genre_facet |
North Atlantic |
| op_rights |
No product The challenge was to identify the 3 most abundant phytoplankton species in the North Atlantic and then track their abundance over the last century. No objectives were achieved: • datasets that can calculate a time-series on a basin wide and species basis are not available and probably not practical. • Datasets at individual locations are available but in addition to the spatial limitation also have limited temporal coverage; • Site and cruise specific data only. • Even at genus rather than species level there is too little data to make a product that can reflect the basin. Inadequate: Impossible to produce or fails to meet all the objectives (not usable) |
| op_doi |
https://doi.org/10.12770/e2e92ca6-abcc-47a7-a90c-b27d17e47f1e |
| _version_ |
1778529913108692992 |