Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
10
datasets available to search
ShareScore release 0.7.1
Dataset results
10 results for “glacial fjords”
Figure 6 in Natural and human effects on harbor seal abundance and spatial distribution in an Alaskan glacial fjord
Figure 6. Estimated area of Disenchantment Bay (km2) containing three different ice cover types: scattered (1–3 tenths), intermediate (4–6 tenths), and dense (7–10 tenths), and all types combined (i.e., ice-covered area [ICA]) from 3 May to 4 August 2002. Estimates of ice cover were averaged within grid cells (when n> 1) and the areas of cells with each type of ice cover were summed (Jansen et al. 2006)) and then scaled upward (proportionately) based on the percent of the study area that was sampled on a given day.
Figure 7 in Natural and human effects on harbor seal abundance and spatial distribution in an Alaskan glacial fjord
Figure 7. Patterns of ship movement and visitation time in Disenchantment Bay, Alaska, in 2002 (n = 56 cruise ships of 105 total during study). Shading of cells represents the cumulative time that visiting ships spent within that cell for each of three months: May, June, and July (including early August). Four distinct shades, from gray to black, reflect increasing residence: <5 min, 5–10 min, 10–20 min,>20 min, respectively. Refer to Figure 1 for geographical points and scale.
Figure 5 in Natural and human effects on harbor seal abundance and spatial distribution in an Alaskan glacial fjord
Figure 5. Standardized resource selection coefficient by harbor seals for ice cover class in Disenchantment Bay, Alaska, 3 May to 4 August 2002, for the Bernoulli part of the P1B model (i.e., for the cell-based abundance of seals). The solid circles and lines are for all seals, and the open circles and dashed lines are for mother-pup pairs. Confidence intervals (95%) are shown by the vertical bars. The thin horizontal line represents equal selection for all ice cover classes.
Figure 4 in Natural and human effects on harbor seal abundance and spatial distribution in an Alaskan glacial fjord
Figure 4. Standardized resource selection coefficient by harbor seals for ice cover class in Disenchantment Bay, Alaska, 3 May to 4 August 2002, for the Bernoulli part of the P1B model (i.e., for the cell-based spatial distribution of seals). The solid circles and lines are for all seals, and the open circles and dashed lines are for mother-pup pairs. Confidence intervals (95%) are shown by the vertical bars. The thin horizontal line represents equal selection for all ice cover classes.
Figure 3 in Natural and human effects on harbor seal abundance and spatial distribution in an Alaskan glacial fjord
Figure 3. Spatial distribution of harbor seals, ice cover zones, and maximum penetration of cruise ships on the day of surveys () and the previous day () in Disenchantment Bay, Alaska, on (A) 6 May, (B) 16 May, (C) 31 May, (D) 20 June, (E) 18 July, and (F) 4 August 2002 (figures for all 18 survey dates are available as supplemental material online). The time of day that ships reached their maximum penetration appears near the location symbol. The range of seal counts summed per grid cell is shown in three levels: small dot (<5 seals), medium dot (5–20 seals), and large dot (>20 seals). A small, overlying white dot indicates the presence of at least one mother-pup pair within that grid cell. Ice cover is represented by a gradient in cell-color shading: light gray (scattered), medium gray (intermediate), dark gray (dense). For this graphic, if cells with no ice data were bounded on three sides by cells with ice measures, the average of neighboring cells was used as an estimate. Refer to Figure 1 for geographical points and scale.
Figure 2 in Natural and human effects on harbor seal abundance and spatial distribution in an Alaskan glacial fjord
Figure 2. Counts of all seals and pups along video sampling transects (relative abundance) in Disenchantment Bay, May to August 2002. Raw counts for all seals are shown as solid circles, and raw counts for pups are shown as open circles. The thick solid curve is the fitted GAM model for all seals, with the 95% prediction intervals shown by the thinner solid lines. The thick dashed curve is the fitted GAM model for pups, with the 95% prediction intervals shown by the thinner dashed lines.
Figure 1 in Natural and human effects on harbor seal abundance and spatial distribution in an Alaskan glacial fjord
Figure 1. Map of Disenchantment Bay study areas near Yakutat, Alaska. Major tidewater glaciers are labeled. The location of the terminus of Hubbard Glacier was mapped in early June 2002 as part of this study. The extent of snow and ice-covered terrain (stippled area) was derived from a NOAA Coastal Service satellite photo taken in 1993. Icy Bay, an adjacent tidewater glacial fjord with a seal population (see Discussion), is shown for reference.
Glacial meltwater determines the balance between autotrophic and heterotrophic processes in a Greenland fjord
<p>Raw data for the summer CTD transect, the annual CTD mooring, data from the seasonal sediment trap, data from the oxygen and 14C incubations and nutrients data presented in the paper</p>
Data for: Low mercury concentration in a Greenland glacial fjord attributed to oceanic sources
<p>Total mercury (THg) and methyl mercury (MeHg) concentrations measured in southeast Greenland between 10 August and 20 August 2021. The majority of samples were collected in Sermilik Fjord and on the continental shelf to the west of the fjord mouth (identified by CTD cast number; see below for corresponding data citation). A small number of samples were collected by hand from surface waters in Apuseeq Fjord, in a lake and river near the village of Tiilerilaaq (formerly known as Tiniteqilaq), and in a river near Tasiilaq. All samples are identified by the date, time, and lat/lon of collection.</p> <p>For further details about the sample collection and analysis, please see the methods section of the associated publication.</p> <p>Sermilik Fjord and continental shelf CTD data are available via the NSF Arctic Data Center (doi:10.18739/A2HD7NT9K).</p>
Glacial and Fast Ice Distributions in Southeast Greenland Fjords V001
This data set provides spatial distributions of fast ice and glacial ice in eight fjords spanning the Southeast Greenland coast: Nansen, Kangerlusruaq, Ikertivaq, Skjoldungen, Tingmiarmiut, Napasorsvaq, Anoritup, and Kangerlluluk. Temporal coverage is discontinuous, depending on the availability and quality of images. Fjord data were sourced from USGS EarthExplorer, Copernicus Open Access Hub, and the NSIDC. Landsat-8 and MODIS imagery for ice identification were collected from NASA Worldview and USGS EarthExplorer. Fjord, fast ice, and glacial ice boundaries were manually delineated using ArcGIS. Glacial ice was further categorized as dense glacial melange (Type 3), substantial glacial ice with large icebergs (Type 2), low-density glacial ice with large icebergs (Type 1), consistent small ice surface without large icebergs (Type 0), or glacier surface (Type 99).
ScienceDex guides
Understand access before you commit
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.