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Sex and Age Composition of Walrus Groups Hauled Out on Ice Floes in the Bering and Chukchi Seas, 2013-2015
These data are in one table with age and sex composition counts of groups of walruses on ice floes in the northern Bering and Chukchi Seas. Counts were collected by visual observations from boats.
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Sex and Age Composition of Walrus Groups Hauled Out on Ice Floes in the Bering and Chukchi Seas, 2013-2015
공공데이터포털
These data are in one table with age and sex composition counts of groups of walruses on ice floes in the northern Bering and Chukchi Seas. Counts were collected by visual observations from boats.
Morphological Measures of Pacific Walruses Collected in the Chukchi and Bering Seas 1972-1991
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This dataset contains morphological measures of Pacific walruses sampled in the Chukchi and Bering Seas between 1972 and 1991. From 1972 through 1991 the Soviet Union employed industrial methods to harvest and process Pacific walruses to enhance the Russian Far East economy. Under the oversight of the Pacific branch of the Soviet All-Union Scientific Investigational Institute of Marine Fisheries and Oceanography (VNIRO), offshore harvesting crews worked from specialized marine mammal hunting ships (ZRS) throughout the spring, summer, and early autumn in the marginal sea ice habitats of the Bering and Chukchi Seas. They launched small (~7 m) wooden boats to approach walruses resting on ice pans, which were dispatched with standard hunting rifles. Harvested walruses were hauled back to the ZRS vessel for processing. Soviet cruises that contributed data to this dataset include ZRS Zagoriany (1976 spring), Surveyor (1978 spring), ZRS Zubarevo (1978), ZRS Zagorskii (1980 March 6 - April 23), ZRS Zvyagino (1981 February - March), KS Entuziast (1982 July 25 - August 23), ZRS Zakharova (1984 autumn, 1985 March 15 - April 26 and 1987 autumn), ZRS Zaslonovo (1991 March 28 - May 21). Beginning in 1981 harvesting extended into United States waters of the Pacific Arctic with permission of the National Oceanic and Atmospheric Administration (NOAA) under the auspices of the 1972 Area V bilateral agreement in the area of the environment. This bilateral agreement enabled direct liaison between Soviet and U.S. biologists who then arranged to collaborate collecting data from these offshore harvest efforts that may be used to understand basic walrus biology and monitor changes in their condition and reproductive success. Throughout the harvesting efforts, trained biologists inspected, measured, and weighed walrus specimens that had been landed onto the processing vessel. Harvest locations, observations, and measurements were recorded into numbered journals and standardized datasheets. This dataset contains these data. Originally these data were managed by VNIRO, however, to promote data curation during the post-Soviet period VNIRO formed an agreement with USGS Alaska Science Center (which at the time was the U.S. National Biological Survey) to maintain a copy of these data and provide access to them for studies vetted by representatives of the original data collection agency. This current database is published with permission of the original data curator, Dr. Yuri Bukhtiyarov.
Morphological Measures of Pacific Walruses Collected in the Chukchi and Bering Seas 1972-1991
공공데이터포털
This dataset contains morphological measures of Pacific walruses sampled in the Chukchi and Bering Seas between 1972 and 1991. From 1972 through 1991 the Soviet Union employed industrial methods to harvest and process Pacific walruses to enhance the Russian Far East economy. Under the oversight of the Pacific branch of the Soviet All-Union Scientific Investigational Institute of Marine Fisheries and Oceanography (VNIRO), offshore harvesting crews worked from specialized marine mammal hunting ships (ZRS) throughout the spring, summer, and early autumn in the marginal sea ice habitats of the Bering and Chukchi Seas. They launched small (~7 m) wooden boats to approach walruses resting on ice pans, which were dispatched with standard hunting rifles. Harvested walruses were hauled back to the ZRS vessel for processing. Soviet cruises that contributed data to this dataset include ZRS Zagoriany (1976 spring), Surveyor (1978 spring), ZRS Zubarevo (1978), ZRS Zagorskii (1980 March 6 - April 23), ZRS Zvyagino (1981 February - March), KS Entuziast (1982 July 25 - August 23), ZRS Zakharova (1984 autumn, 1985 March 15 - April 26 and 1987 autumn), ZRS Zaslonovo (1991 March 28 - May 21). Beginning in 1981 harvesting extended into United States waters of the Pacific Arctic with permission of the National Oceanic and Atmospheric Administration (NOAA) under the auspices of the 1972 Area V bilateral agreement in the area of the environment. This bilateral agreement enabled direct liaison between Soviet and U.S. biologists who then arranged to collaborate collecting data from these offshore harvest efforts that may be used to understand basic walrus biology and monitor changes in their condition and reproductive success. Throughout the harvesting efforts, trained biologists inspected, measured, and weighed walrus specimens that had been landed onto the processing vessel. Harvest locations, observations, and measurements were recorded into numbered journals and standardized datasheets. This dataset contains these data. Originally these data were managed by VNIRO, however, to promote data curation during the post-Soviet period VNIRO formed an agreement with USGS Alaska Science Center (which at the time was the U.S. National Biological Survey) to maintain a copy of these data and provide access to them for studies vetted by representatives of the original data collection agency. This current database is published with permission of the original data curator, Dr. Yuri Bukhtiyarov.
Walrus Haulout Outlines Apparent from Satellite Imagery Near Point Lay Alaska, Autumn 2018-2020
공공데이터포털
These data are in three folders of Keyhole Markup Language (KML) geospatial polygons representing the outlines of walrus herds apparent in satellite imagery. Each KML file contains one or more geospatial polygons of walrus herd outlines created by one observer who visually interpreted the images. The attribute values from all KML files are collected in a CSV table included with this data package.
Walrus Haulout Outlines Apparent from Satellite Imagery Near Point Lay Alaska, Autumn 2018-2020
공공데이터포털
These data are in three folders of Keyhole Markup Language (KML) geospatial polygons representing the outlines of walrus herds apparent in satellite imagery. Each KML file contains one or more geospatial polygons of walrus herd outlines created by one observer who visually interpreted the images. The attribute values from all KML files are collected in a CSV table included with this data package.
Pacific Walrus Seasonal Distribution from USGS Tracking Data, Chukchi and Bering Seas, 1987-2015
공공데이터포털
This data release includes two summary geospatial rasters in GeoTIFF format indicating the seasonal Pacific walrus distribution apparent from location tracking obtained from the temporary attachment of Argos transmitter tags to 325 adult Pacific walruses (248 female, 67 male, 10 unknown) between 1987 and 2015. We deployed tags on walruses at locations in the eastern and northern Bering Sea, the eastern Chukchi Sea, and southern coast of the western Chukchi Sea. We estimated daily locations and characterized seasonal distributions (May-November and December-April) across the Pacific Arctic on a coarse grid (50km resolution).
Pacific Walrus Seasonal Distribution from USGS Tracking Data, Chukchi and Bering Seas, 1987-2015
공공데이터포털
This data release includes two summary geospatial rasters in GeoTIFF format indicating the seasonal Pacific walrus distribution apparent from from ARGOS location tracking obtained from the temporary attachment of ARGOS transmitter tags to Pacific walruses between 1987 and 2015. We deployed tags on walruses at locations in the eastern and northern Bering Sea, the eastern Chukchi Sea, and southern coast of the western Chukchi Sea. We estimated daily locations and characterized seasonal distributions (May-November and December-April) across the Pacific Arctic on a coarse grid (50km resolution).
Pacific Walrus Behavior Data and Associated Chukchi Sea Ice Observations and Projections for use with Bioenergetics Models to Forecast Walrus Body Condition
공공데이터포털
This data release includes three datasets used to develop forecasts of autumn body condition for adult female Pacific walruses in the Chukchi Sea during mid and late century time periods. (1) The activity dataset contains daily telemetry records for 218 adult female walruses tracked for periods of 7 to 104 days during 2008-2014, in the Chukchi Sea. Records include the number of hours the walrus was in the water, number of hours the walrus was foraging, study area region where the walrus was located, depths of the foraging locations, and the proportion of the region covered by sea ice. (2) The movement dataset contains telemetry records for 94 of these walruses, giving the dates they moved from one region to another, and the date of the beginning of minimum ice period for that year. (3) The projected-ice dataset contains daily projections of ice conditions in the study area regions derived from 7 general circulation models of future ice availability for mid-century (2045-2054) and late-century (2090-2099) time periods. The movement and activity datasets were developed to model walrus activity and movement as functions of sea ice conditions. The projected-ice dataset was developed to provide input for those models to forecast future walrus activity and movement. Forecasting autumn body condition requires linkage to bioenergetics models.
Pacific Walrus Behavior Data and Associated Chukchi Sea Ice Observations and Projections for use with Bioenergetics Models to Forecast Walrus Body Condition
공공데이터포털
This data release includes three datasets used to develop forecasts of autumn body condition for adult female Pacific walruses in the Chukchi Sea during mid and late century time periods. (1) The activity dataset contains daily telemetry records for 218 adult female walruses tracked for periods of 7 to 104 days during 2008-2014, in the Chukchi Sea. Records include the number of hours the walrus was in the water, number of hours the walrus was foraging, study area region where the walrus was located, depths of the foraging locations, and the proportion of the region covered by sea ice. (2) The movement dataset contains telemetry records for 94 of these walruses, giving the dates they moved from one region to another, and the date of the beginning of minimum ice period for that year. (3) The projected-ice dataset contains daily projections of ice conditions in the study area regions derived from 7 general circulation models of future ice availability for mid-century (2045-2054) and late-century (2090-2099) time periods. The movement and activity datasets were developed to model walrus activity and movement as functions of sea ice conditions. The projected-ice dataset was developed to provide input for those models to forecast future walrus activity and movement. Forecasting autumn body condition requires linkage to bioenergetics models.
Data Supporting Walrus Areas of Use in the Chukchi Sea During Sparse Sea Ice Cover
공공데이터포털
The dataset consists of geospatial files depicting the estimated June-to-November distribution of walrus foraging and occupancy during a four year period of sparse sea ice cover above the Chukchi Sea continental shelf (2008-2011). The walrus distribution and utilization estimates are based on location data from satellite-linked radio-tracked walruses in the Chukchi Sea (2008-2011). Compared to previous years this period was marked by earlier and more extensive sea ice retreat (June - September) and delayed sea ice freeze-up (October - November). This allowed walruses to arrive earlier, occupy slightly more northern areas, and stay later in the Chukchi Sea than previously. Data are combined for all four years and structured by month (June [06] - November [11]). Within each month, we estimated walrus utilization distributions by using an unweighted movement based kernel density estimator. The kernel density was then weighted by the amount of time walruses spent foraging during each recorded track segment. We present contours of the kernel density ranging from the 10th to 95th percentile.