Multidisciplinary representativeness maps across the Arctic
We provide detailed maps of potential new terrestrial sampling locations for nine environmental disciplines (Botany, Zoology, Microbiology, Soil Science, Biogeochemistry, Meteorology, Geosciences, Paleosciences, and Geographic Information Systems (GIS) / Remote Sensing (RS) / Modeling) derived with...
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2019
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Online Access: | https://dx.doi.org/10.25412/iop.9162191 https://iop.figshare.com/articles/Multidisciplinary_representativeness_maps_across_the_Arctic/9162191 |
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ftdatacite:10.25412/iop.9162191 2023-05-15T14:53:50+02:00 Multidisciplinary representativeness maps across the Arctic Anna-Maria Virkkala Abdi, Abdulhakim M Luoto, Miska Metcalfe, Daniel 2019 https://dx.doi.org/10.25412/iop.9162191 https://iop.figshare.com/articles/Multidisciplinary_representativeness_maps_across_the_Arctic/9162191 unknown IOP Publishing CC BY 4.0 https://creativecommons.org/licenses/by/4.0 CC-BY Environmental Science dataset Dataset 2019 ftdatacite https://doi.org/10.25412/iop.9162191 2021-11-05T12:55:41Z We provide detailed maps of potential new terrestrial sampling locations for nine environmental disciplines (Botany, Zoology, Microbiology, Soil Science, Biogeochemistry, Meteorology, Geosciences, Paleosciences, and Geographic Information Systems (GIS) / Remote Sensing (RS) / Modeling) derived with statistical modeling. The resultant high-resolution maps that consider multiple environmental conditions simultaneously help prioritize future research efforts. Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Environmental Science |
spellingShingle |
Environmental Science Anna-Maria Virkkala Abdi, Abdulhakim M Luoto, Miska Metcalfe, Daniel Multidisciplinary representativeness maps across the Arctic |
topic_facet |
Environmental Science |
description |
We provide detailed maps of potential new terrestrial sampling locations for nine environmental disciplines (Botany, Zoology, Microbiology, Soil Science, Biogeochemistry, Meteorology, Geosciences, Paleosciences, and Geographic Information Systems (GIS) / Remote Sensing (RS) / Modeling) derived with statistical modeling. The resultant high-resolution maps that consider multiple environmental conditions simultaneously help prioritize future research efforts. |
format |
Dataset |
author |
Anna-Maria Virkkala Abdi, Abdulhakim M Luoto, Miska Metcalfe, Daniel |
author_facet |
Anna-Maria Virkkala Abdi, Abdulhakim M Luoto, Miska Metcalfe, Daniel |
author_sort |
Anna-Maria Virkkala |
title |
Multidisciplinary representativeness maps across the Arctic |
title_short |
Multidisciplinary representativeness maps across the Arctic |
title_full |
Multidisciplinary representativeness maps across the Arctic |
title_fullStr |
Multidisciplinary representativeness maps across the Arctic |
title_full_unstemmed |
Multidisciplinary representativeness maps across the Arctic |
title_sort |
multidisciplinary representativeness maps across the arctic |
publisher |
IOP Publishing |
publishDate |
2019 |
url |
https://dx.doi.org/10.25412/iop.9162191 https://iop.figshare.com/articles/Multidisciplinary_representativeness_maps_across_the_Arctic/9162191 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_rights |
CC BY 4.0 https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.25412/iop.9162191 |
_version_ |
1766325496580145152 |