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60 results for “Northern Alaska”
Temperature, Salinity, Sound Velocity, Location, Depth, Heading, and Velocity measured aboard the R/V Nanuq for the Northern Gulf of Alaska LTER site, 2020-2021
This dataset describes measurements from a thermosalinograph and navigation device used aboard the R/V Nanuq during cruises in Resurrection Bay and the Gulf of Alaska. Thermosalinograph data includes temperature, salinity, conductivity, and sound speed measurements every five seconds while the instrument was in use. Navigation data describes latitude, longitude, depth, heading, course over ground, and speed over ground. Data are collected on R/V Nanuq using the ship's GPS devices and a Seabird Electronics SBE-45 thermosalinograph (TSG) that samples uncontaminated pumped seawater. Temperature and conductivity data are sampled every 5 seconds and salinity and sound velocity are derived parameters. No data quality control has been applied to this data, so users should be cautious that conductivity, salinity and sound speed dropouts to due bubbles are common when the ship is plowing through large waves. Data are collected by a variety of projects, including from the NSF-funded Northern Gulf of Alaska Long Term Ecological Research (NGA LTER) program, the Exxon Valdez Oil Spill Trustee Council (EVOSTC) Gulf Watch Alaska GAK1 project, the UAF Sub-Arctic Oceanography Field Course, the Alaska Ocean Observing System (AOOS) glider program, and others.
Rhizaria abundance, biomass, and trophic interactions at the Northern Gulf of Alaska LTER site during summer 2023 cruise KM2308
This dataset consists of Rhizaria abundance, biomass, number of individuals with captured prey, and number of individuals that interacted with algal cells, by taxonomic group. Taxonomic group ID characteristics and biomass calculation details are also presented. Sampling occurred on NGA-LTER research cruise KM2308 during summer 2023 at four stations and four different depth-intervals. Seawater samples were collected from CTD-secured Niskin bottles, concentrated by reverse filtration with 50 μm mesh, and analyzed back in the lab with inverted epi-fluorescence microscopy. Excel spreadsheets were converted to CSV files for preservation. These data are part of the Northern Gulf of Alaska Long Term Ecological Research (NGA LTER) program. The LTER program is a National Science Foundation–funded network of 28 sites nationwide that focus on the influence of long-term and large-scale phenomenon on ecosystems. Additional funding for sampling is provided by the North Pacific Research Board (NPRB), the Alaska Ocean Observing System (AOOS), and the Exxon Valdez Oil Spill Trustee Council (EVOS) via the Gulf Watch Alaska program.
Near-shore bathymetry for Elson Lagoon and Chukchi Sea, Barrow Region, northern Alaska
This dataset includes bathymetric sounding points for the near-shore regions of the Chukchi Sea and Elson Lagoon (Beaufort Sea) for the Barrow region of northern Alaska, along with a bathymetric surface interpolated from these sounding points. Bathymetric surveying was conducted during July and August of 2015 with high-resolution dGPS and single beam sonar. Surveys were conducted on an inflatable Achilles boat with the dGPS antenna and echo sounder placed (on the same pole) off to one side of the boat. dGPS and sonar data were logged on different platforms that were then time-synced later. Sounding points follow the path of the survey boat. At any one sounding point; water depth, bottom elevation, bottom ellipsoid height among other fields are given. Sounding point depths were corrected for salinity and temperature. The average horizontal precision for any one sounding point is 2.3 cm. The average vertical precision for any one sounding point is 4.6 cm (dGPS uncertainty) plus 0.1% of depth (sonar manufacturers stated accuracy). The 10m resolution interpolated surface was created with the Topo to Raster tool within the 3D Analyst license for ArcGIS for Desktop. Pixel values reflect water depth in meters. Related datasets include: recent digital shorelines from dGPS survey, long-term shorelines digitized from imagery and results of coastal change analysis (annual and long-term rates of erosion or accretion). This bathymetric data may be of interest to land managers, scientist and engineers for modeling storm surge effects and coastal erosion. This dataset was collected as part of the Barrow Area Information Database (BAID, https://barrowmapped.org) and was originally made available on the BAID project website. In 2021/2022 the dataset was edited in metadata only and repackaged for archival on the Environmental Data Initiative repository by the Beaufort Lagoon Ecosystems LTER.
Daliy weather data (wind, temperatrue, humididty, pressure, precipitation) from Roche Mountonnee , in the northern foothills of the Brooks Range, Alaska, summers 2010-2014.
Daily weather data from mid May to late July 2011 to 2013 from Roche Moutonnee (south of Toolik Field Station and Arctic LTER), in the northern foothills of the Brooks Range, Alaska. Parameters measured include: wind speed, wind directions, temperature, humidity, pressure and precipitation.
Weekly Normalized Difference Vegetation Index (NDVI) data from Roche Moutonnee, Toolik Field Station, Imnavait, and Sag river DOT sites, in the northern foothills of the Brooks Range, Alaska, summer 2010-2014.
Weekly Normalized Difference Vegetation Index (NDVI) data from Roche Moutonnee, Toolik Lake Field Station, Imnavait Creek and Sagavanirktok River DOT sites in the northern foothills of the Brooks Range, Alaska. Located south of the Arctic LTER and Toolik Lake Field Station. Data collected from May to July 2010-2014. Methods and further data published in Ecography by Rich, et al. 2013.
Daliy weather data from Sagavanirktok River DOT site, in the northern foothills of the Brooks Range, Alaska, May-July 2010-2014.
Daliy weather data from mid May to late July 2011 to 2013 from Sagavanirktok Department of Transport (DOT) site (south of Toolik Field Station and Arctic LTER), in the northern foothills of the Brooks Range, Alaska. Parameters measured include: wind speed, wind directions, temperatrue, humididty, pressure and precipitation. (Rich, et al 2013).
Site, environmental and stand data across an age since fire range of 6-338 years for 30 sites in northern Yukon and central Alaska
This dataset describes site level environmental and stand attributes of 30 black spruce stands across northern Yukon and central Alaska. Sites were selected to cover a broad age range since fire (6 to 338 years). Site level descriptions include: latitude, longitude, elevation, slope, aspect, soil characteristics (organic layer depth, pH, active layer depth, moisture classification, texture), average tree age, density and stand basal area. <br><br> **In Prep Puplication** Viglas, Jayme, Carissa Brown, and Jill Johnstone. Stand age effects on seed productivity of north
Samples of individual trees (cones, age) within sites across an age since fire range of 6-338 years for 30 sites in northern Yukon and central Alaska
This dataset describes individual trees within site attributes including cohort of cones (2006-2009), whether cones are opened or closed, the number of cones and seeds and viability of each cohort and the measured age of two perpendicular sections at the base of tree. <br><br> **In Prep Puplication** Viglas, Jayme, Carissa Brown, and Jill Johnstone. Stand age effects on seed productivity of north
Population dynamics across latitudes of black spruce at its northern limit in the Brooks Range, Alaska
Although black spruce is the dominant treeline species in the eastern boreal forest, its distribution stops several kilometers short of treeline in the Brooks Range in Alaska, and white spruce is the dominant treeline species. The explanation for this distribution is not known, but two hypotheses are plausible. First, black spruce may be less tolerant of climatic conditions near treeline than white spruce. Second, black spruce may be unable to regenerate successfully near treeline due to long intervals between fires. We are establishing permanently marked study plots along a transect from the Yukon River basin, where black spruce is the dominant species, to the foothills of the Brooks Range, where it reaches its distributional limit. We are reconstructing recruitment history of both black and white spruce at our study sites, and are reconstructing recent fire history from analysis of fire scars and stand age structures. These data are being used to parameterize matrix population models, with which we are describing patterns of population stability.
A dataset of thermokarst lake drainage events in northern Alaska (2000-2020)
<p>The catastrophic thermokarst lake drainage events occurring in the circumpolar Arctic permafrost region are referred to as the new Arctic hazard. To accurately detect this disturbance process, the authors performed a time series analysis of changes in the thermokarst lake region of northern Alaska since 2000 using all available Landsat TM, ETM+, and OLI continuous data on the Google Earth Engine platform. This dataset includes 90 thermokarst lake drainage events detected in northern Alaska during 2000-2020 and year-by-year water distribution maps based on AWEI. The thermokarst lake drainage events are published in Shapefile format, including information on the area, location, drainage proportion, and year of drainage for each drained lake.</p>
Fig. 6 in Prevalence Of Hookworms, Uncinaria Lucasi (Anсylostomatidae), In Northern Fur Seals (Callorhinus Ursinus) On St. Paul Island, Alaska
Fig. 6. Prevalence of Uncinaria lucasi parasitic L3 observed in the blubber of subadult NFS males on St. Paul Island since 1963.
Fig. 5 in Prevalence Of Hookworms, Uncinaria Lucasi (Anсylostomatidae), In Northern Fur Seals (Callorhinus Ursinus) On St. Paul Island, Alaska
Fig. 5. Prevalence of Uncinaria lucasi adult nematodes observed in dead NFS pups on St. Paul Island since 1955.
Fig. 3 in Prevalence Of Hookworms, Uncinaria Lucasi (Anсylostomatidae), In Northern Fur Seals (Callorhinus Ursinus) On St. Paul Island, Alaska
Fig. 3. Parasitic third stage hookworm larvae (L3) from the blubber of a northern fur seal male: A — general view of entire L3; B — anterior part of L3, lateral view; C — anterior part of L3, dorsal view.
Fig. 2 in Prevalence Of Hookworms, Uncinaria Lucasi (Anсylostomatidae), In Northern Fur Seals (Callorhinus Ursinus) On St. Paul Island, Alaska
Fig. 2. Life cycle of Uncinaria lucasi (drawing adapted after Olsen, 1962): L1, L2 and L3 — free-living larvae of 1st, 2nd and 3rd stages.
Fig. 1. Uncinaria lucasi adults from a in Prevalence Of Hookworms, Uncinaria Lucasi (Anсylostomatidae), In Northern Fur Seals (Callorhinus Ursinus) On St. Paul Island, Alaska
Fig. 1. Uncinaria lucasi adults from a northern fur seal pup Callorhinus ursinus: A — anterior end, dorsal view; B — anterior end, lateral view; C — male tail; D — female tail.
Concentrations of the rare earth elements (REE) and Thorium-232 (232Th) in glacial dust from the northern Gulf of Alaska region
<p>Concentrations of the rare earth elements (REE) and Thorium-232 (232Th) are presented for filtered air (dust) samples collected from the northern Gulf of Alaska region, including from Middleton Island (AK)(59.4214 N, 146.3493 W) and the Copper River delta (60.4324 N, 145.0954 W). Size-fractionated samples were collected in November 2019, using a Tisch Volumetric Flow Controlled (VFC) high volume sampler (Tisch Environmental, TE-5170V- BL) outfitted with a Cascade impactor. The six size fractions collected ranged from <0.49 micrometers (um) to >7.2 um in diameter. This sampler technology is discussed in greater detail in Morton et al, 2013. Samples were filtered with acid-washed Whatman 41 (W41) cellulose fiber filters. Additional bulk dust samples were collected in October 2012, using a Thermo Partisol Plus 2025 using Teflon filters. Samples were fully digested using concentrated nitric and hydrofluoric acids, following the approach of Morton et al, 2013. Samples were analyzed using a Thermofisher iCAP inductively coupled plasma mass spectrometer (ICP-MS) in KED mode, with He as a collision cell gas, adapted from the approach of Trommetter et al (2020). Concentrations were determined from standard curves using a REE ICP-MS standard from High-Purity Standards (that also contained 232Th). Three internal standards (Ge, In, and Bi) were added to both samples and standards, to correct for short-term variability in the instrument response and to evaluate stability of mass response during the ICP-MS run. Concentration estimates for the REE and 232Th were blank-corrected using full-process blanks that included filters deployed during times when there was no known dust deposition. Most of the full-process blank concentrations were 100 times or more smaller than the concentrations of our lowest standard (with the exception of Ce, the concentration of which was ~seven times smaller than our lowest standard. This means that our blank concentrations were very low but also not quantified extremely accurately. Our best estimates are that the full-process blanks, including filters, ranged from 0.02 picograms per square centimeter (pg cm-2) for Eu, Tb, and Ho, to 2 pg cm-2 for Ce. These blank concentrations were in all cases 40 times or more smaller than our lowest REE sample concentration for the <0.49 um size fraction with the smallest amount of dust, and ~3 orders of magnitude smaller than the signal of the largest samples. The REE data are also presented in a double-normalized format that first normalizes to concentrations of Post Archean Australian Shale and then normalizes to the mean REE concentration. The normalization approach is slightly modified from that of Serno et al, 2014.</p>
Fig. 3 in The cestode community in northern fur seals (Callorhinus ursinus) on St. Paul Island, Alaska
Fig. 3. Scanning electron micrographs of cestodes from the northern fur seal (Callorhinus ursinus). Scoleces of adults of Adenocephalus pacificus (A–D, F). Scoleces of adults of Diplogonoporus tetrapterus (I–P). Gonopores of D. tetrapterus (O). Unidentified plerocercoids (E, G, H, R).
Fig. 2 in The cestode community in northern fur seals (Callorhinus ursinus) on St. Paul Island, Alaska
Fig. 2. Distribution of cestodes in the northern fur seals (Callorhinus ursinus) (A) and between sub-populations inhabiting separate haul-outs (B) from St. Paul Island, Alaska.
Fig. 1 in The cestode community in northern fur seals (Callorhinus ursinus) on St. Paul Island, Alaska
Fig. 1. Map showing the areas at which helminths of the northern fur seals (Callorhinus ursinus) have been studied by previous authors (gray circles) and the present authors (black circle) in the Bering Sea. The detailed map of St. Paul Island, Alaska with sampling sites (rookeries) is enlarged.
Fig. 12 in A new Arctic hadrosaurid from the Prince Creek Formation (lower Maastrichtian) of northern Alaska
Fig. 12. Results of the cladistic analyses based of Matrix 3 (SOM 8) and Matrix 4 (SOM 9) based from Prieto-Márquez (2013), showing the phylogenetic position of Ugrunaaluk kuukpikensis gen. et sp. nov.; Matrix 3 resulted in 2 most parsimonious trees, and Matrix 4 resulted in one fully resolved cladogram. The strict consensus tree based on Matrix 3 (characters scored as-is, cladogram 3) was identical to the most parsimonious tree based on Matrix 4 (ontogenetic character removed, cladogram 4), except that some clades, marked by "X", were collapsed in cladogram 3. Bootstrap, Bremer support values, Consistency and Retention indices of the phylogenetic trees are also shown. For the clades collapsed in the cladogram 3, these values are substituted by a dash. Those indices and steps of the parsimonious trees based from Matrix 3 are also shown in the parentheses below the tree.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.