Data

Extract_Kerguelen_Plateau_Environmental_Layers

Australian Antarctic Data Centre
HILL, NICOLE A. ; RAYMOND, BEN
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26179/5f055cd217aa8&rft.title=Extract_Kerguelen_Plateau_Environmental_Layers&rft.identifier=10.26179/5f055cd217aa8&rft.publisher=Australian Antarctic Data Centre&rft.description=This dataset contains environmental layers used to model the predicted distribution of demersal fish bioregions for the paper: Hill et al. (2020) Determining Marine Bioregions: A comparison of quantitative approaches, Methods in Ecology and Evolution. It contains climatological variables from satellite and modelled data that represent sea floor and sea surface conditions likely to affect the distribution of demersal fish including: depth, slope, seafloor temperatures, seafloor current, seafloor nitrate, sea surface temperature, chlorophyll-a standard deviation and sea surface height standard deviation. Layers are presented at 0.1 degree resolution. prediction_space is a Rda file for R that consists of two objects: env_raster: a raster stack of the environmental layers pred_sp: a data.frame version of the env_raster where some variables have been transformed for statistical analysis and bioregion prediction. Env_data_sources.xlsx contains a description of each environmental variable and it's source.&rft.creator=HILL, NICOLE A. &rft.creator=RAYMOND, BEN &rft.date=2020&rft.coverage=northlimit=-50; southlimit=-54; westlimit=70; eastLimit=78; projection=WGS84&rft.coverage=northlimit=-50; southlimit=-54; westlimit=70; eastLimit=78; projection=WGS84&rft_rights=This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/). Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4124_Extract_Kerguelen_Plateau_Environmental_Layers when using these data.&rft_subject=biota&rft_subject=oceans&rft_subject=EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > DEMERSAL&rft_subject=EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > PELAGIC&rft_subject=EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS&rft_subject=FISH&rft_subject=EARTH SCIENCE&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=ANIMALS/VERTEBRATES&rft_subject=SEA SURFACE TEMPERATURE&rft_subject=DEMERSAL FISH BIOREGIONS&rft_subject=ENVIRONMENTAL LAYERS&rft_subject=Computer > Computer&rft_subject=MODELS&rft_subject=EARTH SCIENCE SERVICES&rft_subject=OCEAN > SOUTHERN OCEAN > KERGUELEN PLATEAU&rft_subject=OCEAN > SOUTHERN OCEAN > HEARD AND MCDONALD ISLANDS&rft_subject=GEOGRAPHIC REGION > POLAR&rft_place=Hobart&rft.type=dataset&rft.language=English Access the data

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This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/). Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4124_Extract_Kerguelen_Plateau_Environmental_Layers when using these data.

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These data are publicly available for download from the provided URL.

Brief description

This dataset contains environmental layers used to model the predicted distribution of demersal fish bioregions for the paper: Hill et al. (2020) Determining Marine Bioregions: A comparison of quantitative approaches, Methods in Ecology and Evolution.
It contains climatological variables from satellite and modelled data that represent sea floor and sea surface conditions likely to affect the distribution of demersal fish including: depth, slope, seafloor temperatures, seafloor current, seafloor nitrate, sea surface temperature, chlorophyll-a standard deviation and sea surface height standard deviation. Layers are presented at 0.1 degree resolution.
"prediction_space" is a Rda file for R that consists of two objects:
env_raster: a raster stack of the environmental layers
pred_sp: a data.frame version of the env_raster where some variables have been transformed for statistical analysis and bioregion prediction.
"Env_data_sources.xlsx" contains a description of each environmental variable and it's source.

Issued: 2020-07-08

Data time period: 1982-01-01 to 2014-12-31

This dataset is part of a larger collection

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78,-50 78,-54 70,-54 70,-50 78,-50

74,-52

text: northlimit=-50; southlimit=-54; westlimit=70; eastLimit=78; projection=WGS84

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