Active acoustic data from Kongsfjorden, Svalbard

The presence of Arctic pelagic organisms during the polar night is poorly documented, especially as boreal Atlantic species are expanding their range northward. Patterns of diel vertical migration (DVM) of crustaceans enhancing the biological pump are characteristic, yet poorly known processes of hi...

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Bibliographic Details
Main Authors: Berge, Jorgen, Geoffroy, Maxime, Johnsen, Geir
Format: Dataset
Language:English
Published: Canadian Cryospheric Information Network 2017
Subjects:
Online Access:https://dx.doi.org/10.21963/12826
https://www.polardata.ca/pdcsearch/?doi_id=12826
id ftdatacite:10.21963/12826
record_format openpolar
spelling ftdatacite:10.21963/12826 2023-05-15T14:49:19+02:00 Active acoustic data from Kongsfjorden, Svalbard Berge, Jorgen Geoffroy, Maxime Johnsen, Geir 2017 https://dx.doi.org/10.21963/12826 https://www.polardata.ca/pdcsearch/?doi_id=12826 en eng Canadian Cryospheric Information Network Public Acoustic Barents Sea Fishes Svalbard Zooplankton Other programs and funding agencies dataset Dataset 2017 ftdatacite https://doi.org/10.21963/12826 2021-11-05T12:55:41Z The presence of Arctic pelagic organisms during the polar night is poorly documented, especially as boreal Atlantic species are expanding their range northward. Patterns of diel vertical migration (DVM) of crustaceans enhancing the biological pump are characteristic, yet poorly known processes of high latitude fjords of Svalbard. This dataset was collected in Kongsfjorden, Svalbard, during January 2017 to document the distribution of pelagic organisms using acoustic instruments. An automated surface vehicle was equipped with an Acoustic Zooplankton and Fish Profiler (AZFP; 125, 200, 450, and 769 kHz) on January 14-21 and with a Wideband Autonomous Transceiver (WBAT; 70 kHz) on January 19 to document the backscatter signals from fish and zooplankton. : Purpose: Acoustic instruments mounted on automated surface vehicles provide high spatial and temporal resolution sampling of the pelagic realm. This dataset was collected to document the spatial and vertical distributions and migrations of zooplankton and fish in a period poorly document in high-Arctic fjords, the polar night. Data are provided in raw format from the instrument and can be read using acoustic processing softwares and/or routines (http://www.aslenv.com/AZFP-data.html) or programming softwares (e.g. Matlab, R). This project is associated with the "Arctic Ocean ecosystems - Applied technology, Biological interactions and Consequences in an era of abrupt climate change (Arctic ABC)” program that is funded by the Norwegian Research Council (project # 244319). : Summary: Not Applicable Dataset Arctic Arctic Ocean Barents Sea Climate change Kongsfjord* Kongsfjorden polar night Svalbard Zooplankton DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean Barents Sea Svalbard
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Acoustic
Barents Sea
Fishes
Svalbard
Zooplankton
Other programs and funding agencies
spellingShingle Acoustic
Barents Sea
Fishes
Svalbard
Zooplankton
Other programs and funding agencies
Berge, Jorgen
Geoffroy, Maxime
Johnsen, Geir
Active acoustic data from Kongsfjorden, Svalbard
topic_facet Acoustic
Barents Sea
Fishes
Svalbard
Zooplankton
Other programs and funding agencies
description The presence of Arctic pelagic organisms during the polar night is poorly documented, especially as boreal Atlantic species are expanding their range northward. Patterns of diel vertical migration (DVM) of crustaceans enhancing the biological pump are characteristic, yet poorly known processes of high latitude fjords of Svalbard. This dataset was collected in Kongsfjorden, Svalbard, during January 2017 to document the distribution of pelagic organisms using acoustic instruments. An automated surface vehicle was equipped with an Acoustic Zooplankton and Fish Profiler (AZFP; 125, 200, 450, and 769 kHz) on January 14-21 and with a Wideband Autonomous Transceiver (WBAT; 70 kHz) on January 19 to document the backscatter signals from fish and zooplankton. : Purpose: Acoustic instruments mounted on automated surface vehicles provide high spatial and temporal resolution sampling of the pelagic realm. This dataset was collected to document the spatial and vertical distributions and migrations of zooplankton and fish in a period poorly document in high-Arctic fjords, the polar night. Data are provided in raw format from the instrument and can be read using acoustic processing softwares and/or routines (http://www.aslenv.com/AZFP-data.html) or programming softwares (e.g. Matlab, R). This project is associated with the "Arctic Ocean ecosystems - Applied technology, Biological interactions and Consequences in an era of abrupt climate change (Arctic ABC)” program that is funded by the Norwegian Research Council (project # 244319). : Summary: Not Applicable
format Dataset
author Berge, Jorgen
Geoffroy, Maxime
Johnsen, Geir
author_facet Berge, Jorgen
Geoffroy, Maxime
Johnsen, Geir
author_sort Berge, Jorgen
title Active acoustic data from Kongsfjorden, Svalbard
title_short Active acoustic data from Kongsfjorden, Svalbard
title_full Active acoustic data from Kongsfjorden, Svalbard
title_fullStr Active acoustic data from Kongsfjorden, Svalbard
title_full_unstemmed Active acoustic data from Kongsfjorden, Svalbard
title_sort active acoustic data from kongsfjorden, svalbard
publisher Canadian Cryospheric Information Network
publishDate 2017
url https://dx.doi.org/10.21963/12826
https://www.polardata.ca/pdcsearch/?doi_id=12826
geographic Arctic
Arctic Ocean
Barents Sea
Svalbard
geographic_facet Arctic
Arctic Ocean
Barents Sea
Svalbard
genre Arctic
Arctic Ocean
Barents Sea
Climate change
Kongsfjord*
Kongsfjorden
polar night
Svalbard
Zooplankton
genre_facet Arctic
Arctic Ocean
Barents Sea
Climate change
Kongsfjord*
Kongsfjorden
polar night
Svalbard
Zooplankton
op_rights Public
op_doi https://doi.org/10.21963/12826
_version_ 1766320375263657984