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.
152
datasets available to search
ShareScore release 0.7.1
Dataset results
152 results for “High Arctic”
Microarray analyses of high Arctic soil bacterial response to hydrocarbon pollution and bioremediation
GEO Series GSE17533. Archaea; Bacteria; Escherichia coli. 76 samples. Type: Expression profiling by array; Other.
Supporting datasets used in the paper entitled "High sensitivity of Arctic black carbon radiative effects to subgrid vertical velocity in aerosol activation"
<p>This archive contains datasets used in the paper entitled "High sensitivity of Arctic black carbon radiative effects to subgrid vertical velocity in aerosol activation".</p> <p> </p>
Shallow and deep groundwater moderate methane dynamics in a high Arctic glacial catchment
<p>Geochemistry data of water samples taken of groundwater and river water in a glacial catchment on Svalbard during the summers of 2021 and 2022. </p>
Analysis of Effect of human disturbance on the spread of a high-Arctic species
<p><span>This repository contains the input data (data_in) and the scripts (scripts) used in the study “Effect of human disturbance on the spread of a high-Arctic species”.</span></p> <p><span>Input data includes:</span></p> <ul> <li><span>“NP_S100_SHP/ S100_Vann_f.shp”: the shape file of Svalbard lake bodies; original at: Norwegian Polar Institute (2014). Kartdata Svalbard 1:100 000 (S100 Kartdata) / Map Data [Data set]. Norwegian Polar Institute. <a href="https://doi.org/10.21334/npolar.2014.645336c7">https://doi.org/10.21334/npolar.2014.645336c7</a> </span></li> <li><span>“DEMfull.tif”: Digital Elevation Map of Svalbard provided by the Norwegian Polar institute; original at: </span>Norwegian Polar Institute (2014). Terrengmodell Svalbard (S0 Terrengmodell) [Data set]. Norwegian Polar Institute. <a href="https://doi.org/10.21334/npolar.2014.dce53a47">https://doi.org/10.21334/npolar.2014.dce53a47</a></li> <li>“KappLinne_allTrails.kml KappLinne_allTrails.kml”: KML file of trails in the research area generated with Google Earth Pro;</li> <li><span>“Papaver_dalianum_2023survey.csv”: observed presence of <em>Papaver dahlianum</em> in the 2023 survey, with original GPS measurement point, distance from the closest reference point (pole), coordinates in the original CRS (epsg:25833, WG84 UTM33; lon, lat), coordinates in decimal degrees, and species abundance at each point;</span></li> <li><span>“Papaver_dalianum_historicalPresence.csv”: observed historical presence of <em>Papaver dahlianum</em> in the larger research area, with name of the collector (observer), year of observation, coordinates in DMS (degrees, minutes, seconds), decimal degrees, and Svalbard CRS (epsg:25833, WG84 UTM33);</span></li> <li><span>“Poppy_img.png”: p</span>hoto of <em>Papaver dahlianum</em> specimen taken during the 2023 survey (dd lat: 78.059; dd lon: 13.627)<span>;</span></li> <li><span>“trail_idx_df.csv”: index position of the surveyed trail with reference to the UAV image;</span></li> <li><span>“UAV_full.tif” and “UAV_full_10cm.tif”: 5 cm resolution aerial image generated during the 2023 trail survey with an unmanned aerial vehicle (UAV), and re-scaled image at 10 cm resolution used in the analysis of terrain preference.</span></li> </ul> <p><span>Scripts used to analyse the data include:</span></p> <ul> <li><span>“GBIF_GLM_analysis.R”: R script to gather GBFI presences of <em>Papaver dahlianum</em>, plot research area with historical and contemporary (survey 2023) presence of <em>P. dahlianum</em>, and perform GLM analysis to investigate the relationship between the density of <em>P. dahlianum</em> and potential predictors of human disturbance (e.g. distance from the station, distance to the closest trail);</span></li> <li><span>“Supplement, Effect of human disturbance on the spread of the Svalbard Poppy.ipynb”: Python script (and compiled .pdf) to perform the main statistical analysis of the study, fit the establishment kernels, model the spread of <em>P. dahlianum</em> under two dispersal scenarios, and perform the UAV analysis of terrain preference.</span></li> </ul>
Supplementary data for "Coastal retreat rates of high-Arctic rock cliffs on Brøgger peninsula, Svalbard, accelerate during the past decade"
<p>This upload contains three dGNSS surveys at Kjærsvika, Kongsfjordneset and Stuphallet, representing the coastline of Brøgger Peninsula, Svalbard, including the standard deviations. The measurements were conducted 31.08.2021.</p> <p>In this study, the coastline was manually ditigized based on orthoimages. To analyze the uncertainty of the manual digitization, the process was repeated three more times along selected transects of the coastline. This upload contains a file with the following information:<br>FID: vertices of repeated digitizations, starting from 0 for each separate coastline<br>NEAR_DIST: Distance [m] of each vertex to the digitized coastline that was used in the study<br>Location: Describes the three selected transects which were used for the uncertainty analysis (KV: Kjærsvika, KN: Kongsfjordneset, STU: Stuphallet)<br>ID_digitization: Number of repetition</p>
Microarray analysis of high Arctic soil bacterial response to hydrocarbon pollution and bioremediation: 16S rRNA
GEO Series GSE17532. Archaea; Bacteria. 38 samples. Type: Expression profiling by array.
Microarray analysis of high Arctic soil bacterial response to hydrocarbon pollution and bioremediation: genomic DNA
GEO Series GSE17517. Archaea; Bacteria; Escherichia coli. 38 samples. Type: Other.
FIGURE 2 in Redescription of Leptogyra bujnitzkii (Gorbunov, 1946) comb. nov., the first representative of the gastropod subclass Neomphaliones from the high Arctic
FIGURE 2. Type locality of Leptogyra bujnitzkii. A, B. General maps indicating position of type locality in the Arctic. C. Scheme of drift of the convoy with r/v "Sadko" from 21 to 26 July 1938 traced using coordinates given by Badygin (1950). Green star indicates locality from the label of syntypes (probably the type locality), red star from the original description.
Differences in major bacterial taxa in three high Arctic soils lead to different CO2 production rates
GEO Series GSE24800. Archaea; environmental samples; environmental samples; environmental samples; Bacteria; environmental samples; environmental samples; environmental samples. 20 samples. Type: Other.
FIGURE 1 in The mesostigmatid mite (Acari: Parasitiformes) fauna of Svalbard: a revised inventory of a high Arctic archipelago
FIGURE 1. Sampling locations.
Data for: Extreme shifts in habitat suitability under contemporary climate change for a high-Arctic herbivore
<p>Data and code associated with MaxEnt analyses to quantify shifts in habitat suitability of muskoxen in the Northeast Greenland National Park. Details on how to use the files are provided in the README.docx file</p>
Supplementary Tables for Geomorphology of gullies at the Haughton Impact Structure, Devon Island, Canadian High Arctic
<p>Data describing the input and results from the FAMD and HCPC model for "Geomorphology of gullies at the Haughton Impact Structure, Devon Island, Canadian High Arctic"</p>
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.