Multi-scale data on macrobenthic biodiversity and environmental variables along Eurasian Arctic shelf seas ...

Within the project The Changing Arctic Transpolar System (CATS) we compiled macrobenthic community data from previously conducted ship expeditions into the Arctic Ocean. These data were cleaned and harmonized and comprise 1500 different taxa in 363 sampling points in the Eurasian Arctic covering mar...

Full description

Bibliographic Details
Main Authors: Hansen, Miriam Lea Sarah, Piepenburg, Dieter, Pantiukhin, Dmitrii, Kraan, Casper
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.910004
https://doi.pangaea.de/10.1594/PANGAEA.910004
id ftdatacite:10.1594/pangaea.910004
record_format openpolar
spelling ftdatacite:10.1594/pangaea.910004 2024-06-09T07:43:20+00:00 Multi-scale data on macrobenthic biodiversity and environmental variables along Eurasian Arctic shelf seas ... Hansen, Miriam Lea Sarah Piepenburg, Dieter Pantiukhin, Dmitrii Kraan, Casper 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.910004 https://doi.pangaea.de/10.1594/PANGAEA.910004 en eng PANGAEA http://gmed.auckland.ac.nz https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.nodc:NCEI-WOA18 https://www.ncei.noaa.gov/products/ocean-climate-laboratory https://www.ncei.noaa.gov/access/world-ocean-atlas-2018/ https://dx.doi.org/10.1007/s00300-020-02737-9 https://dx.doi.org/10.1594/pangaea.877932 http://gmed.auckland.ac.nz https://dx.doi.org/10.1029/2004gb002299 https://dx.doi.org/10.1016/j.dsr2.2008.05.022 https://dx.doi.org/10.3402/polar.v34.24008 https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.nodc:NCEI-WOA18 https://dx.doi.org/10.1029/2012gl052219 https://www.ncei.noaa.gov/products/ocean-climate-laboratory https://dx.doi.org/10.1594/pangaea.909392 https://dx.doi.org/10.1016/j.pocean.2006.09.002 https://dx.doi.org/10.1038/288260a0 https://dx.doi.org/10.1111/j.1931-0846.2016.12195.x https://dx.doi.org/10.1016/j.dsr.2004.07.013 https://www.ncei.noaa.gov/access/world-ocean-atlas-2018/ Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Biodiversity community analysis environmental factors Eurasian Arctic Macrobenthos multi-scale Event label DATE/TIME LATITUDE LONGITUDE Reference of data Uniform resource locator/link to reference Station label DEPTH, water Area/locality Presence/absence Sea ice concentration Depth, bathymetric Size fraction < 0.063 mm, mud, silt+clay Slope Distance Carbon, flux per year Salinity Temperature, water Oxygen Nitrate Phosphate Oxygen, apparent utilization van Veen Grab Box corer Reineck Giant box grab Environmental investigation Multiple investigations Giant box corer MultiCorer Box corer extracted from the World Ocean Atlas 2018 WOA18 JM2003-CABANERA JM2004-CABANERA JM2005-CABANERA Transdrift-I Transdrift-III LA03/11 Transdrift-II ARK-XI/1 ARK-XIII/2 Transdrift-XXI Transdrift-XXII MERA-95-YaS-1995 Jan Mayen Supplementary Dataset dataset Dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.91000410.1007/s00300-020-02737-910.1594/pangaea.87793210.1029/2004gb00229910.1016/j.dsr2.2008.05.02210.3402/polar.v34.2400810.1029/2012gl05221910.1594/pangaea.90939210.1016/j.pocean.2006.09.00210.1038/288260a010.1111/j.1931 2024-05-13T10:43:49Z Within the project The Changing Arctic Transpolar System (CATS) we compiled macrobenthic community data from previously conducted ship expeditions into the Arctic Ocean. These data were cleaned and harmonized and comprise 1500 different taxa in 363 sampling points in the Eurasian Arctic covering marine regions from the Barents Sea to the East Siberian Sea. Furthermore, we acquired data on 12 different environmental variables fitting to the sampling locations from the biotic data. ... : #1: For estimating the organic carbon flux to the seafloor, using the empirical function proposed by Suess (1980), data on primary production were taken from the Ocean Productivity website of Oregon State University (http://www.science.oregonstate.edu/ocean.productivity/) and compiled using a Carbon-based Productivity Model by Behrenfeld et al. (2005). ... Dataset Arctic Arctic Ocean Barents Sea East Siberian Sea Jan Mayen Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean Barents Sea East Siberian Sea ENVELOPE(166.000,166.000,74.000,74.000) Jan Mayen Van Veen ENVELOPE(161.900,161.900,-71.583,-71.583)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Biodiversity
community analysis
environmental factors
Eurasian Arctic
Macrobenthos
multi-scale
Event label
DATE/TIME
LATITUDE
LONGITUDE
Reference of data
Uniform resource locator/link to reference
Station label
DEPTH, water
Area/locality
Presence/absence
Sea ice concentration
Depth, bathymetric
Size fraction < 0.063 mm, mud, silt+clay
Slope
Distance
Carbon, flux per year
Salinity
Temperature, water
Oxygen
Nitrate
Phosphate
Oxygen, apparent utilization
van Veen Grab
Box corer Reineck
Giant box grab
Environmental investigation
Multiple investigations
Giant box corer
MultiCorer
Box corer
extracted from the World Ocean Atlas 2018 WOA18
JM2003-CABANERA
JM2004-CABANERA
JM2005-CABANERA
Transdrift-I
Transdrift-III
LA03/11
Transdrift-II
ARK-XI/1
ARK-XIII/2
Transdrift-XXI
Transdrift-XXII
MERA-95-YaS-1995
Jan Mayen
spellingShingle Biodiversity
community analysis
environmental factors
Eurasian Arctic
Macrobenthos
multi-scale
Event label
DATE/TIME
LATITUDE
LONGITUDE
Reference of data
Uniform resource locator/link to reference
Station label
DEPTH, water
Area/locality
Presence/absence
Sea ice concentration
Depth, bathymetric
Size fraction < 0.063 mm, mud, silt+clay
Slope
Distance
Carbon, flux per year
Salinity
Temperature, water
Oxygen
Nitrate
Phosphate
Oxygen, apparent utilization
van Veen Grab
Box corer Reineck
Giant box grab
Environmental investigation
Multiple investigations
Giant box corer
MultiCorer
Box corer
extracted from the World Ocean Atlas 2018 WOA18
JM2003-CABANERA
JM2004-CABANERA
JM2005-CABANERA
Transdrift-I
Transdrift-III
LA03/11
Transdrift-II
ARK-XI/1
ARK-XIII/2
Transdrift-XXI
Transdrift-XXII
MERA-95-YaS-1995
Jan Mayen
Hansen, Miriam Lea Sarah
Piepenburg, Dieter
Pantiukhin, Dmitrii
Kraan, Casper
Multi-scale data on macrobenthic biodiversity and environmental variables along Eurasian Arctic shelf seas ...
topic_facet Biodiversity
community analysis
environmental factors
Eurasian Arctic
Macrobenthos
multi-scale
Event label
DATE/TIME
LATITUDE
LONGITUDE
Reference of data
Uniform resource locator/link to reference
Station label
DEPTH, water
Area/locality
Presence/absence
Sea ice concentration
Depth, bathymetric
Size fraction < 0.063 mm, mud, silt+clay
Slope
Distance
Carbon, flux per year
Salinity
Temperature, water
Oxygen
Nitrate
Phosphate
Oxygen, apparent utilization
van Veen Grab
Box corer Reineck
Giant box grab
Environmental investigation
Multiple investigations
Giant box corer
MultiCorer
Box corer
extracted from the World Ocean Atlas 2018 WOA18
JM2003-CABANERA
JM2004-CABANERA
JM2005-CABANERA
Transdrift-I
Transdrift-III
LA03/11
Transdrift-II
ARK-XI/1
ARK-XIII/2
Transdrift-XXI
Transdrift-XXII
MERA-95-YaS-1995
Jan Mayen
description Within the project The Changing Arctic Transpolar System (CATS) we compiled macrobenthic community data from previously conducted ship expeditions into the Arctic Ocean. These data were cleaned and harmonized and comprise 1500 different taxa in 363 sampling points in the Eurasian Arctic covering marine regions from the Barents Sea to the East Siberian Sea. Furthermore, we acquired data on 12 different environmental variables fitting to the sampling locations from the biotic data. ... : #1: For estimating the organic carbon flux to the seafloor, using the empirical function proposed by Suess (1980), data on primary production were taken from the Ocean Productivity website of Oregon State University (http://www.science.oregonstate.edu/ocean.productivity/) and compiled using a Carbon-based Productivity Model by Behrenfeld et al. (2005). ...
format Dataset
author Hansen, Miriam Lea Sarah
Piepenburg, Dieter
Pantiukhin, Dmitrii
Kraan, Casper
author_facet Hansen, Miriam Lea Sarah
Piepenburg, Dieter
Pantiukhin, Dmitrii
Kraan, Casper
author_sort Hansen, Miriam Lea Sarah
title Multi-scale data on macrobenthic biodiversity and environmental variables along Eurasian Arctic shelf seas ...
title_short Multi-scale data on macrobenthic biodiversity and environmental variables along Eurasian Arctic shelf seas ...
title_full Multi-scale data on macrobenthic biodiversity and environmental variables along Eurasian Arctic shelf seas ...
title_fullStr Multi-scale data on macrobenthic biodiversity and environmental variables along Eurasian Arctic shelf seas ...
title_full_unstemmed Multi-scale data on macrobenthic biodiversity and environmental variables along Eurasian Arctic shelf seas ...
title_sort multi-scale data on macrobenthic biodiversity and environmental variables along eurasian arctic shelf seas ...
publisher PANGAEA
publishDate 2019
url https://dx.doi.org/10.1594/pangaea.910004
https://doi.pangaea.de/10.1594/PANGAEA.910004
long_lat ENVELOPE(166.000,166.000,74.000,74.000)
ENVELOPE(161.900,161.900,-71.583,-71.583)
geographic Arctic
Arctic Ocean
Barents Sea
East Siberian Sea
Jan Mayen
Van Veen
geographic_facet Arctic
Arctic Ocean
Barents Sea
East Siberian Sea
Jan Mayen
Van Veen
genre Arctic
Arctic Ocean
Barents Sea
East Siberian Sea
Jan Mayen
Sea ice
genre_facet Arctic
Arctic Ocean
Barents Sea
East Siberian Sea
Jan Mayen
Sea ice
op_relation http://gmed.auckland.ac.nz
https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.nodc:NCEI-WOA18
https://www.ncei.noaa.gov/products/ocean-climate-laboratory
https://www.ncei.noaa.gov/access/world-ocean-atlas-2018/
https://dx.doi.org/10.1007/s00300-020-02737-9
https://dx.doi.org/10.1594/pangaea.877932
http://gmed.auckland.ac.nz
https://dx.doi.org/10.1029/2004gb002299
https://dx.doi.org/10.1016/j.dsr2.2008.05.022
https://dx.doi.org/10.3402/polar.v34.24008
https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.nodc:NCEI-WOA18
https://dx.doi.org/10.1029/2012gl052219
https://www.ncei.noaa.gov/products/ocean-climate-laboratory
https://dx.doi.org/10.1594/pangaea.909392
https://dx.doi.org/10.1016/j.pocean.2006.09.002
https://dx.doi.org/10.1038/288260a0
https://dx.doi.org/10.1111/j.1931-0846.2016.12195.x
https://dx.doi.org/10.1016/j.dsr.2004.07.013
https://www.ncei.noaa.gov/access/world-ocean-atlas-2018/
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.1594/pangaea.91000410.1007/s00300-020-02737-910.1594/pangaea.87793210.1029/2004gb00229910.1016/j.dsr2.2008.05.02210.3402/polar.v34.2400810.1029/2012gl05221910.1594/pangaea.90939210.1016/j.pocean.2006.09.00210.1038/288260a010.1111/j.1931
_version_ 1801372092100247552