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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Bibliographic Details
Main Authors: Anna-Maria Virkkala, Abdi, Abdulhakim M, Luoto, Miska, Metcalfe, Daniel
Format: Dataset
Language:unknown
Published: IOP Publishing 2019
Subjects:
Environmental Science
Arctic
Online Access:https://dx.doi.org/10.25412/iop.9162191.v1
https://iop.figshare.com/articles/Multidisciplinary_representativeness_maps_across_the_Arctic/9162191/1
id ftdatacite:10.25412/iop.9162191.v1
record_format openpolar
spelling ftdatacite:10.25412/iop.9162191.v1 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.v1 https://iop.figshare.com/articles/Multidisciplinary_representativeness_maps_across_the_Arctic/9162191/1 unknown IOP Publishing https://dx.doi.org/10.25412/iop.9162191 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.v1 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.v1
https://iop.figshare.com/articles/Multidisciplinary_representativeness_maps_across_the_Arctic/9162191/1
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://dx.doi.org/10.25412/iop.9162191
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.v1
https://doi.org/10.25412/iop.9162191
_version_ 1766325496743723008

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