Data for Krüger et al. 2017 DOI: 10.1111/ecog.02590
The zip file contains eight folders, one with the environmental data used for modelling (Sea Surface Temperature SST, Chlorophyll CHLOR, Wind Speed WIND, Sea Ice Cover ICE, Bathymetry BATH) and their projections for each representative concentration pathways (RCPs) for 2050 and 2100. One folder with...
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Dryad Digital Repository
2017
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Online Access: | https://dx.doi.org/10.5061/dryad.b4217/1 http://datadryad.org/resource/doi:10.5061/dryad.b4217/1 |
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ftdatacite:10.5061/dryad.b4217/1 2023-05-15T16:00:55+02:00 Data for Krüger et al. 2017 DOI: 10.1111/ecog.02590 Krüger, L. Ramos, J. A. Xavier, J. C. Grémillet, D. González-Solís, J. Petry, M. V. Phillips, R. A. Wanless, R. M. Paiva, V. H. Krüger, Lucas 2017 https://dx.doi.org/10.5061/dryad.b4217/1 http://datadryad.org/resource/doi:10.5061/dryad.b4217/1 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.b4217 http://creativecommons.org/publicdomain/zero/1.0 CC0 Geographic Information System Representative Concentration Pathways Seabirds Species Distribution Modelling Tracking Southern Hemisphere Oceans Procellariiformes Thalassarche melanophris Thalassarche chrysostoma Macronectes halli Macronectes giganteus Diomedea dabbenena Diomedea exulans Procellaria aequinoctialis dataset Dataset DataFile 2017 ftdatacite https://doi.org/10.5061/dryad.b4217/1 https://doi.org/10.5061/dryad.b4217 2021-11-05T12:55:41Z The zip file contains eight folders, one with the environmental data used for modelling (Sea Surface Temperature SST, Chlorophyll CHLOR, Wind Speed WIND, Sea Ice Cover ICE, Bathymetry BATH) and their projections for each representative concentration pathways (RCPs) for 2050 and 2100. One folder with the distribution of fisheries types in .csv (geographic coordinate system, WGS84) and geotiff images for the species and fisheries distribution models (files with the name pred) and projections for each scenario. Also the scripts used for SDMs and GWPCA are presented in the file. Dataset Diomedea exulans Macronectes giganteus Sea ice DataCite Metadata Store (German National Library of Science and Technology) Giganteus ENVELOPE(62.500,62.500,-67.567,-67.567) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Geographic Information System Representative Concentration Pathways Seabirds Species Distribution Modelling Tracking Southern Hemisphere Oceans Procellariiformes Thalassarche melanophris Thalassarche chrysostoma Macronectes halli Macronectes giganteus Diomedea dabbenena Diomedea exulans Procellaria aequinoctialis |
spellingShingle |
Geographic Information System Representative Concentration Pathways Seabirds Species Distribution Modelling Tracking Southern Hemisphere Oceans Procellariiformes Thalassarche melanophris Thalassarche chrysostoma Macronectes halli Macronectes giganteus Diomedea dabbenena Diomedea exulans Procellaria aequinoctialis Krüger, L. Ramos, J. A. Xavier, J. C. Grémillet, D. González-Solís, J. Petry, M. V. Phillips, R. A. Wanless, R. M. Paiva, V. H. Krüger, Lucas Data for Krüger et al. 2017 DOI: 10.1111/ecog.02590 |
topic_facet |
Geographic Information System Representative Concentration Pathways Seabirds Species Distribution Modelling Tracking Southern Hemisphere Oceans Procellariiformes Thalassarche melanophris Thalassarche chrysostoma Macronectes halli Macronectes giganteus Diomedea dabbenena Diomedea exulans Procellaria aequinoctialis |
description |
The zip file contains eight folders, one with the environmental data used for modelling (Sea Surface Temperature SST, Chlorophyll CHLOR, Wind Speed WIND, Sea Ice Cover ICE, Bathymetry BATH) and their projections for each representative concentration pathways (RCPs) for 2050 and 2100. One folder with the distribution of fisheries types in .csv (geographic coordinate system, WGS84) and geotiff images for the species and fisheries distribution models (files with the name pred) and projections for each scenario. Also the scripts used for SDMs and GWPCA are presented in the file. |
format |
Dataset |
author |
Krüger, L. Ramos, J. A. Xavier, J. C. Grémillet, D. González-Solís, J. Petry, M. V. Phillips, R. A. Wanless, R. M. Paiva, V. H. Krüger, Lucas |
author_facet |
Krüger, L. Ramos, J. A. Xavier, J. C. Grémillet, D. González-Solís, J. Petry, M. V. Phillips, R. A. Wanless, R. M. Paiva, V. H. Krüger, Lucas |
author_sort |
Krüger, L. |
title |
Data for Krüger et al. 2017 DOI: 10.1111/ecog.02590 |
title_short |
Data for Krüger et al. 2017 DOI: 10.1111/ecog.02590 |
title_full |
Data for Krüger et al. 2017 DOI: 10.1111/ecog.02590 |
title_fullStr |
Data for Krüger et al. 2017 DOI: 10.1111/ecog.02590 |
title_full_unstemmed |
Data for Krüger et al. 2017 DOI: 10.1111/ecog.02590 |
title_sort |
data for krüger et al. 2017 doi: 10.1111/ecog.02590 |
publisher |
Dryad Digital Repository |
publishDate |
2017 |
url |
https://dx.doi.org/10.5061/dryad.b4217/1 http://datadryad.org/resource/doi:10.5061/dryad.b4217/1 |
long_lat |
ENVELOPE(62.500,62.500,-67.567,-67.567) |
geographic |
Giganteus |
geographic_facet |
Giganteus |
genre |
Diomedea exulans Macronectes giganteus Sea ice |
genre_facet |
Diomedea exulans Macronectes giganteus Sea ice |
op_relation |
https://dx.doi.org/10.5061/dryad.b4217 |
op_rights |
http://creativecommons.org/publicdomain/zero/1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.5061/dryad.b4217/1 https://doi.org/10.5061/dryad.b4217 |
_version_ |
1766396926195924992 |