This data release contains one table which includes the concentration of cortisol from polar bear (Ursus maritimus) hair and morphometric data from some of the captured bears. We assayed concentration of cortisol in hair (HCC) from polar bears captured in the Alaska Beaufort, Bering and Chukchi Seas during 1983–1989 and 2004–2018. Fields include the individual polar bear identifier (bearID), the date (sampleDate) and time (sampleTime) of sample collection, location that the sample was collected (latitude and longitude), agency that collected the sample (agency), sex of the polar bear (sex), the age of the polar bear at the time of sample collection (bearAge), categorical indicator of the age of the bear from which the sample was collected (ageCode), categorical indicator of the age of accompanying dependent young (cubAgeClass), the age and reproductive status of the bear at year-1 for spring captured bears, or the age and reproductive status of the bear at year-0 for autumn captured bears (reproClass), straight-line body length (SLBL), corrected straight-line body length (correctedSLBL), heart girth (girth), body mass (mass), and concentration of cortisol (cortisolAssay_pg_mg), and morphometric data for some of the bears captured.

This data release contains one table which includes the concentration of cortisol from polar bear (Ursus maritimus) hair and morphometric data from some of the captured bears. We assayed concentration of cortisol in hair (HCC) from polar bears captured in the Alaska Beaufort, Bering and Chukchi seas during 1983–1989 and 2004–2016. Fields include the individual polar bear identifier (bearID), the date (sampleDate) and time (sampleTime) of sample collection, location that the sample was collected (latitude and longitude), agency that collected the sample (agency), sex of the polar bear (sex), the age of the polar bear at the time of sample collection (bearAge), categorical indicator of the age of the bear from which the sample was collected (ageCode), categorical indicator of the age of accompanying dependent young (cubAgeClass), the age and reproductive status of the bear at year-1 (reproClass), straight-line body length (SLBL), corrected straight-line body length (correctedSLBL), heart girth (girth), body mass (mass), and concentration of cortisol ( cortisolAssay_pg_mg), and morphometric data for some of the bears captured.

Bearded seals (Erignathus barbatus) are one of the most important subsistence resources for the indigenous people of coastal northern and western Alaska, as well as key components of Arctic marine ecosystems. Yet, relatively little about their abundance, seasonal distribution, migrations, or foraging behaviors has been documented scientifically. Ice-associated seal populations may be negatively impacted by offshore oil and gas development as well as by climate change. Our ability to predict impacts, however, is limited by inadequate knowledge of seal population structure and foraging ecology. By working cooperatively with Alaska Native subsistence hunters we developed methods for live- capturing bearded seals in the Chukchi Sea using nets set in the shallow coastal waters where bearded seals were foraging. Capture efforts were based out of Kotzebue and various locations in the North Slope Borough from Wainwright to Barrow in June and July from 2009 to 2012. In all, 7 seals were caught (2 adults and 5 sub-adults; 4 males and three females; ranging in length and weight from 159 cm and 116 kg to 216 cm and 253 kg), all from Kotzebue Sound. Each seal was released with two different types of bio-logging devices: the SPOT5, attached to a rear flipper, provided information on the timing of hauling out and on the seal’s location for up to three years. The MK10, glued to the top of a seal’s head, provided the same information as well as data on the timing and depths of dives. MK10 deployments remained active up to ten months and were shed from the seal during the annual molt. The data files within this dataset represent the 'raw' data obtained from the Wildlife Computers data portal. Each deployment (unique tag id + animal id combination) is provided as a zipped archive. The root folder also includes additional documentation. The various files and detailed column descriptions are described in the 'Spreadsheet-File-Descriptions.pdf' which was downloaded from Wildlife Computers (https://wildlifecomputers.com/support/downloads/). The '00_kotzeb0912_get_data.Rmd' file is an RMarkdown file that provides code and documentation of the data retrieval process. The corresponding '00_kotzeb0912_get_data.hml' file is autogenerated from the RMarkdown file.

This record contains two datasets: 1. Raw unfiltered geographic coordinates and accuracy estimates of ringed seals tagged in the Western Canadian Arctic and 2. The location estimate from state-space models using a 12-hr time step. In total, 17 ringed seals were captured, measured, weighed, and tagged with satellite-linked transmitters (SDR-10, SDR-16, SPLASH) in June and July of 1999, 2000, and 2010. The tags, manufactured by Wildlife Computers Ltd. (Redmond, Washington, USA), sent data to polar orbiting satellites. Data were then retrieved via the Argos system (Harris et al., 1990). Tags collected and relayed information on movement (geographic positions) and diving data of the instrumented animals.

This dataset contains GIS layers that depict the known spatial distributions (i.e., ranges) of the five subspecies of ringed seals (Phoca hispida). It was produced as part of a U.S. Endangered Species Act status review, which included delineating the species in question and assessing its risk of extinction within the foreseeable future throughout all or a significant portion of its range. Its boundaries are based on previously published range maps and/or descriptions of the species' distribution in published or unpublished accounts. All boundaries should be considered approximate.

This dataset includes biological, chemical, discrete sample, physical and profile data collected from MIRAI in the Arctic Ocean and Beaufort Sea from 2004-09-01 to 2004-10-13. These data include AMMONIUM (NH4), CHLOROFLUOROCARBON-11 (CFC-11), CHLOROFLUOROCARBON-113 (CFC-113), CHLOROFLUOROCARBON-12 (CFC-12), Chlorophyll a, DISSOLVED OXYGEN, Delta Oxygen-18, HYDROSTATIC PRESSURE, Methane (CH4), NITRATE, NITRITE, SALINITY, TOTAL ALKALINITY (TA), WATER TEMPERATURE, phosphate and silicate. The instruments used to collect these data include CTD, Coulometer for DIC measurement and bottle. These data were collected by Koji Shimada and Shigeto Nishino of Japan Agency for Marine-Earth Science and Technology (JAMSTEC) as part of the PACIFICA_49NZ20040901 dataset. CDIAC associated the following cruise ID(s) with this dataset: MR04-05 and PACIFICA_49NZ20040901 PACIFICA (PACIFic ocean Interior CArbon) was an international collaborative project for the data synthesis of ocean interior carbon and its related parameters in the Pacific Ocean. The North Pacific Marine Science Organization (PICES), Section of Carbon and Climate (S-CC) supported the project.

These data are the fatty acid compositions (in %) of adipose tissue samples collected from polar bears and of blubber samples collected from ringed and bearded seal killed by polar bears in the Chukchi Sea, 2008-2017. The dataset includes sex, age, and age class of the bears that were sampled. The data are provided as % of each fatty acid identified via nomenclature that describes the structure of each fatty acid.

These data include two tables. The first is average daily temperatures received via satellite transmitting collars deployed on polar bears in the southern Beaufort Sea 1986-2013. The second is denning classifications for adult female polar bears in the southern Beaufort Sea using the temperature data. Denning was classified using a control chart-based algorithm applied to the temperature data received from the collars. This method was validated by comparisons with a previous study, direct observations during flights to track collared bears, and observations of females with newborn cubs the following spring. Further information is available in the methods.

These data include two spreadsheets. The first is average daily temperatures received via satellite transmitting collars deployed on polar bears in the southern Beaufort Sea 1986-2013. The second is denning classifications for adult female polar bears in the southern Beaufort Sea using the temperature data. Denning was classified using a control chart-based algorithm applied to the temperature data received from the collars. This method was validated by comparisons with a previous study, direct observations during flights to track collared bears, and observations of females with newborn cubs the following spring. Further information is available in the methods.