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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery |
Identification Number: |
doi:10.18710/B8VW6H |
Distributor: |
DataverseNO |
Date of Distribution: |
2016-11-30 |
Version: |
2 |
Bibliographic Citation: |
Eide, Arne, 2016, "Replication Data for: Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery", https://doi.org/10.18710/B8VW6H, DataverseNO, V2 |
Citation |
|
Title: |
Replication Data for: Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery |
Identification Number: |
doi:10.18710/B8VW6H |
Authoring Entity: |
Eide, Arne (UiT The Arctic University of Norway) |
Producer: |
UiT The Arctic University of Norway |
Grant Number: |
265863 |
Distributor: |
DataverseNO |
Distributor: |
UiT The Arctic University of Norway |
Access Authority: |
Eide, Arne |
Depositor: |
Conzett, Philipp |
Date of Deposit: |
2016-11-30 |
Holdings Information: |
https://doi.org/10.18710/B8VW6H |
Study Scope |
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Keywords: |
Earth and Environmental Sciences, NEA cod, North East Atlantic cod, Climate Science - Ocean Fisheries, Sub-Arctic Seas |
Abstract: |
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 |
Time Period: |
2004-01-01-2010-09-30 |
Date of Collection: |
2004-01-01-2010-09-30 |
Country: |
Norway, Russian Federation |
Geographic Coverage: |
Barents Sea, Barents Sea |
Kind of Data: |
Time series - flat files |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
"Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery", Elementa: Science of the Anthropocene 2016, 4:000110 |
Identification Number: |
10.12952/journal.elementa.000110 |
Bibliographic Citation: |
"Causes and consequences of fleet diversity in fisheries: The case of the Norwegian Barents Sea cod fishery", Elementa: Science of the Anthropocene 2016, 4:000110 |
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01_Readme.txt |
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File descriptions |
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A1B_s0.txt |
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climate scenario A1B - smartness parameter, s = 0 |
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A1B_s0_5.txt |
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climate scenario A1B - smartness parameter, s = 0.5 |
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A1B_s1.txt |
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climate scenario A1B - smartness parameter, s = 1 |
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A1B_s10.txt |
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climate scenario A1B - smartness parameter, s = 10 |
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A1B_s1_5.txt |
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climate scenario A1B - smartness parameter, s = 1.5 |
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A1B_s2.txt |
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climate scenario A1B - smartness parameter, s = 2 |
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A1B_s20.txt |
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climate scenario A1B - smartness parameter, s = 20 |
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A1B_s3.txt |
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climate scenario A1B - smartness parameter, s = 3 |
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A1B_s5.txt |
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climate scenario A1B - smartness parameter, s = 5 |
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A1B_T.txt |
Text: |
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 |
Notes: |
text/plain |
Label: |
A1B_Zoo.txt |
Text: |
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 |
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text/plain |
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alldata.txt |
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Lattice distributed interpolated and integrated biomasses (see README.txt) |
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capcalc.txt |
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Lattice distributed environmental carrying capacities 2012-2047 (see README.txt) |
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text/plain |
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ginDepth.txt |
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Bathymetric SinMod data for the Barents Sea, grid: 20x20km |
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zero_s0.txt |
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zero scenario - smartness parameter, s = 0 |
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zero_s0_5.txt |
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zero scenario - smartness parameter, s = 0.5 |
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zero_s1.txt |
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zero scenario - smartness parameter, s = 1 |
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zero_s10.txt |
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zero scenario - smartness parameter, s = 10 |
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zero_s1_5.txt |
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zero scenario - smartness parameter, s = 1.5 |
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zero_s2.txt |
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zero scenario - smartness parameter, s = 2 |
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zero_s20.txt |
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zero scenario - smartness parameter, s = 20 |
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zero_s3.txt |
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zero scenario - smartness parameter, s = 3 |
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zero_s5.txt |
Text: |
zero scenario - smartness parameter, s = 5 |
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text/plain |