HLY-07-01 and HLY-07-02 Observations of Marine Mammals of Beringia [Ray, G.C.]

This dataset contains marine mammal observations onboard the US Coast Guard Cutter Healy during the 2007 0701 and 0702 cruises in the Bering Sea. The objective of this project has been to observe marine mammals in the context of their sea-ice "seascape" habitat. Emphasis has been placed on...

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Bibliographic Details
Format: Dataset
Language:unknown
Published: Arctic Data Center 2016
Subjects:
Ship
Arctic
Oceanography
Bering Sea
Pacific
Sea ice
Beringia
walrus*
Online Access:https://search.dataone.org/view/urn:uuid:29360b3c-71ec-4e43-a78f-99720b1e0be1
id dataone:urn:uuid:29360b3c-71ec-4e43-a78f-99720b1e0be1
record_format openpolar
spelling dataone:urn:uuid:29360b3c-71ec-4e43-a78f-99720b1e0be1 2024-06-03T18:46:39+00:00 HLY-07-01 and HLY-07-02 Observations of Marine Mammals of Beringia [Ray, G.C.] ENVELOPE(-180.0,-165.0,64.0,56.0) BEGINDATE: 2007-04-11T00:00:00Z ENDDATE: 2007-06-18T23:59:59Z 2016-02-25T00:00:00Z https://search.dataone.org/view/urn:uuid:29360b3c-71ec-4e43-a78f-99720b1e0be1 unknown Arctic Data Center Ship Arctic Oceanography Dataset 2016 dataone:urn:node:ARCTIC 2024-06-03T18:07:04Z This dataset contains marine mammal observations onboard the US Coast Guard Cutter Healy during the 2007 0701 and 0702 cruises in the Bering Sea. The objective of this project has been to observe marine mammals in the context of their sea-ice "seascape" habitat. Emphasis has been placed on the winter-spring period during which Pacific walruses and ribbon seals use sea ice for reproduction, molting, rest, and as a platform for feeding and migration. The thesis is that marine mammals partition sea-ice habitat according to their life-history requirements: for Pacific walruses, "broken pack" and for ribbon seals "loose pack" provide this habitat. The data files are in Excel, csv and jpg format. Dataset Arctic Bering Sea Sea ice Beringia walrus* Arctic Data Center (via DataONE) Arctic Bering Sea Pacific ENVELOPE(-180.0,-165.0,64.0,56.0)
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language unknown
topic Ship
Arctic
Oceanography
spellingShingle Ship
Arctic
Oceanography
HLY-07-01 and HLY-07-02 Observations of Marine Mammals of Beringia [Ray, G.C.]
topic_facet Ship
Arctic
Oceanography
description This dataset contains marine mammal observations onboard the US Coast Guard Cutter Healy during the 2007 0701 and 0702 cruises in the Bering Sea. The objective of this project has been to observe marine mammals in the context of their sea-ice "seascape" habitat. Emphasis has been placed on the winter-spring period during which Pacific walruses and ribbon seals use sea ice for reproduction, molting, rest, and as a platform for feeding and migration. The thesis is that marine mammals partition sea-ice habitat according to their life-history requirements: for Pacific walruses, "broken pack" and for ribbon seals "loose pack" provide this habitat. The data files are in Excel, csv and jpg format.
format Dataset
title HLY-07-01 and HLY-07-02 Observations of Marine Mammals of Beringia [Ray, G.C.]
title_short HLY-07-01 and HLY-07-02 Observations of Marine Mammals of Beringia [Ray, G.C.]
title_full HLY-07-01 and HLY-07-02 Observations of Marine Mammals of Beringia [Ray, G.C.]
title_fullStr HLY-07-01 and HLY-07-02 Observations of Marine Mammals of Beringia [Ray, G.C.]
title_full_unstemmed HLY-07-01 and HLY-07-02 Observations of Marine Mammals of Beringia [Ray, G.C.]
title_sort hly-07-01 and hly-07-02 observations of marine mammals of beringia [ray, g.c.]
publisher Arctic Data Center
publishDate 2016
url https://search.dataone.org/view/urn:uuid:29360b3c-71ec-4e43-a78f-99720b1e0be1
op_coverage ENVELOPE(-180.0,-165.0,64.0,56.0)
BEGINDATE: 2007-04-11T00:00:00Z ENDDATE: 2007-06-18T23:59:59Z
long_lat ENVELOPE(-180.0,-165.0,64.0,56.0)
geographic Arctic
Bering Sea
Pacific
geographic_facet Arctic
Bering Sea
Pacific
genre Arctic
Bering Sea
Sea ice
Beringia
walrus*
genre_facet Arctic
Bering Sea
Sea ice
Beringia
walrus*
_version_ 1800869370099924992

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