Spatial and life history data - Spatial scaling of population synchrony in marine fish depends on their life history
The data is divided three: SpatialData.rda : The Rdata file contains indices of density of several marine fish species across the Barents Sea, which were derived from data collected by the Norwegian Institute for Marine Research and the Polar Research Institute of Marine Fisheries and Oceanography f...
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ftdatacite:10.6084/m9.figshare.8427212.v2 2023-05-15T15:38:39+02:00 Spatial and life history data - Spatial scaling of population synchrony in marine fish depends on their life history Jonatan Marquez Sondre Aanes 2019 https://dx.doi.org/10.6084/m9.figshare.8427212.v2 https://figshare.com/articles/Spatial_data_and_life_history/8427212/2 unknown figshare https://dx.doi.org/10.6084/m9.figshare.8427212 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY 60299 Ecology not elsewhere classified FOS Biological sciences dataset Dataset 2019 ftdatacite https://doi.org/10.6084/m9.figshare.8427212.v2 https://doi.org/10.6084/m9.figshare.8427212 2021-11-05T12:55:41Z The data is divided three: SpatialData.rda : The Rdata file contains indices of density of several marine fish species across the Barents Sea, which were derived from data collected by the Norwegian Institute for Marine Research and the Polar Research Institute of Marine Fisheries and Oceanography from January to March, every year from 1985 to 2016. The data is structured as following: "Data" is divided into each of the species .In order: North East Atlantic (NEA) cod ( Gadus morhua) , NEA haddock ( Melanogramus aeglefinus) , NEA saithe ( Pollachius virens) , beaked redfish ( Sebastes mentella) , golden redfish ( Sebastes marinus) , blue whiting ( Micromesistius poutassou) , Barents Sea capelin ( Mallotus villosus) and Norwegian spring-spawning herring ( Clupea harengus ). "Data[[<>]]" is further divided into the ten resolution the density indices were grouped by. The resolution (i.e. size in km2 of each of the hexagonal cell of the grid used to spatially divide the Barents Sea), are given by the name of the sublist, namely 2500, 4900, 9100, 12100, 16900, 22500, 28900, 36100, 44100, 52900. Data[[<>]][[<>]] is divided into:"dmatrix" --> a matrix with the densities of the given species of each cell and year."LLmat" --> a matrix with coordinates of the centres of each of the cells. For more details on the data sampling design see references linked______________________________________________ Dynlife2.Rdata : This rdata file contains information on 5 life history variables for 9 species: The 9 spesies appear in the following order: cod, haddock, saithe, beaked redfish, golden redfish, Greenland halibut, blue withing, capelin, herring The 7 variables have the following order: E(M), Var (M), CV(R/S), CV(lambda), T, mean (R/S), mean (lambda). The methodology used to calculate these variables can be found in Bjørkvoll et al. 2012 ______________________________________________ Scaling_LifeHist.N.boot.r & Scaling_LifeHist.r.boot.r : R scripts used to test the relationship between life history and spatial synchrony Dataset Barents Sea Gadus morhua golden redfish Greenland North East Atlantic Sebastes mentella DataCite Metadata Store (German National Library of Science and Technology) Barents Sea Greenland Lambda ENVELOPE(-62.983,-62.983,-64.300,-64.300) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
60299 Ecology not elsewhere classified FOS Biological sciences |
spellingShingle |
60299 Ecology not elsewhere classified FOS Biological sciences Jonatan Marquez Sondre Aanes Spatial and life history data - Spatial scaling of population synchrony in marine fish depends on their life history |
topic_facet |
60299 Ecology not elsewhere classified FOS Biological sciences |
description |
The data is divided three: SpatialData.rda : The Rdata file contains indices of density of several marine fish species across the Barents Sea, which were derived from data collected by the Norwegian Institute for Marine Research and the Polar Research Institute of Marine Fisheries and Oceanography from January to March, every year from 1985 to 2016. The data is structured as following: "Data" is divided into each of the species .In order: North East Atlantic (NEA) cod ( Gadus morhua) , NEA haddock ( Melanogramus aeglefinus) , NEA saithe ( Pollachius virens) , beaked redfish ( Sebastes mentella) , golden redfish ( Sebastes marinus) , blue whiting ( Micromesistius poutassou) , Barents Sea capelin ( Mallotus villosus) and Norwegian spring-spawning herring ( Clupea harengus ). "Data[[<>]]" is further divided into the ten resolution the density indices were grouped by. The resolution (i.e. size in km2 of each of the hexagonal cell of the grid used to spatially divide the Barents Sea), are given by the name of the sublist, namely 2500, 4900, 9100, 12100, 16900, 22500, 28900, 36100, 44100, 52900. Data[[<>]][[<>]] is divided into:"dmatrix" --> a matrix with the densities of the given species of each cell and year."LLmat" --> a matrix with coordinates of the centres of each of the cells. For more details on the data sampling design see references linked______________________________________________ Dynlife2.Rdata : This rdata file contains information on 5 life history variables for 9 species: The 9 spesies appear in the following order: cod, haddock, saithe, beaked redfish, golden redfish, Greenland halibut, blue withing, capelin, herring The 7 variables have the following order: E(M), Var (M), CV(R/S), CV(lambda), T, mean (R/S), mean (lambda). The methodology used to calculate these variables can be found in Bjørkvoll et al. 2012 ______________________________________________ Scaling_LifeHist.N.boot.r & Scaling_LifeHist.r.boot.r : R scripts used to test the relationship between life history and spatial synchrony |
format |
Dataset |
author |
Jonatan Marquez Sondre Aanes |
author_facet |
Jonatan Marquez Sondre Aanes |
author_sort |
Jonatan Marquez |
title |
Spatial and life history data - Spatial scaling of population synchrony in marine fish depends on their life history |
title_short |
Spatial and life history data - Spatial scaling of population synchrony in marine fish depends on their life history |
title_full |
Spatial and life history data - Spatial scaling of population synchrony in marine fish depends on their life history |
title_fullStr |
Spatial and life history data - Spatial scaling of population synchrony in marine fish depends on their life history |
title_full_unstemmed |
Spatial and life history data - Spatial scaling of population synchrony in marine fish depends on their life history |
title_sort |
spatial and life history data - spatial scaling of population synchrony in marine fish depends on their life history |
publisher |
figshare |
publishDate |
2019 |
url |
https://dx.doi.org/10.6084/m9.figshare.8427212.v2 https://figshare.com/articles/Spatial_data_and_life_history/8427212/2 |
long_lat |
ENVELOPE(-62.983,-62.983,-64.300,-64.300) |
geographic |
Barents Sea Greenland Lambda |
geographic_facet |
Barents Sea Greenland Lambda |
genre |
Barents Sea Gadus morhua golden redfish Greenland North East Atlantic Sebastes mentella |
genre_facet |
Barents Sea Gadus morhua golden redfish Greenland North East Atlantic Sebastes mentella |
op_relation |
https://dx.doi.org/10.6084/m9.figshare.8427212 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.8427212.v2 https://doi.org/10.6084/m9.figshare.8427212 |
_version_ |
1766369862157860864 |