Replication Data for: Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery ...
SinMod data, average monthly ocean temperatures at depth 50 m (Barents Sea). IPCC scenario A4R SRES A1B, downscaling atmospheric model: Remo 5.1. Grid size: 20x20 km ||| SinMod data, integrated biomasses of small zooplankton in the water column (Barents Sea). IPCC scenario A4R SRES A1B, downscaling...
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2016
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| Online Access: | https://dx.doi.org/10.18710/b8vw6h https://dataverse.no/citation?persistentId=doi:10.18710/B8VW6H |
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ftdatacite:10.18710/b8vw6h 2023-12-31T10:05:04+01:00 Replication Data for: Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery ... Eide, Arne 2016 https://dx.doi.org/10.18710/b8vw6h https://dataverse.no/citation?persistentId=doi:10.18710/B8VW6H unknown DataverseNO Dataset dataset 2016 ftdatacite https://doi.org/10.18710/b8vw6h 2023-12-01T10:25:54Z SinMod data, average monthly ocean temperatures at depth 50 m (Barents Sea). IPCC scenario A4R SRES A1B, downscaling atmospheric model: Remo 5.1. Grid size: 20x20 km ||| SinMod data, integrated biomasses of small zooplankton in the water column (Barents Sea). IPCC scenario A4R SRES A1B, downscaling atmospheric model: Remo 5.1. Grid size: 20x20 km ||| Bathymetric SinMod data for the Barents Sea, grid: 20x20km ||| Raw data and Integrated FishExchange data sets covering 2004-2010 (ecosystem suveys, winter surveys and catches). Grid size: 80x80 km ... Dataset Barents Sea 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 |
| description |
SinMod data, average monthly ocean temperatures at depth 50 m (Barents Sea). IPCC scenario A4R SRES A1B, downscaling atmospheric model: Remo 5.1. Grid size: 20x20 km ||| SinMod data, integrated biomasses of small zooplankton in the water column (Barents Sea). IPCC scenario A4R SRES A1B, downscaling atmospheric model: Remo 5.1. Grid size: 20x20 km ||| Bathymetric SinMod data for the Barents Sea, grid: 20x20km ||| Raw data and Integrated FishExchange data sets covering 2004-2010 (ecosystem suveys, winter surveys and catches). Grid size: 80x80 km ... |
| format |
Dataset |
| author |
Eide, Arne |
| spellingShingle |
Eide, Arne Replication Data for: Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery ... |
| author_facet |
Eide, Arne |
| author_sort |
Eide, Arne |
| title |
Replication Data for: Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery ... |
| title_short |
Replication Data for: Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery ... |
| title_full |
Replication Data for: Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery ... |
| title_fullStr |
Replication Data for: Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery ... |
| title_full_unstemmed |
Replication Data for: Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery ... |
| title_sort |
replication data for: causes and consequences of fleet diversity in fisheries: the case of the norwegian barents sea cod fishery ... |
| publisher |
DataverseNO |
| publishDate |
2016 |
| url |
https://dx.doi.org/10.18710/b8vw6h https://dataverse.no/citation?persistentId=doi:10.18710/B8VW6H |
| genre |
Barents Sea |
| genre_facet |
Barents Sea |
| op_doi |
https://doi.org/10.18710/b8vw6h |
| _version_ |
1786836563271876608 |