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293 results for “Svalbard”
Fig. 7 in Myxozoa in high Arctic: Survey on the central part of Svalbard archipelago
Fig. 7. Line drawing of Parvicapsula petuniae, sutural view. Scale bar = 10 µm.
Fig. 9 in Myxozoa in high Arctic: Survey on the central part of Svalbard archipelago
Fig. 9. Line drawing of Latyspora-like organism, sutural view. Scale bar = 10 µm.
Fig. 4 in Myxozoa in high Arctic: Survey on the central part of Svalbard archipelago
Fig. 4. Line drawing of Zschokkella siegfriedi, sutural view. Scale bar = 10 µm.
Fig. 8 in Myxozoa in high Arctic: Survey on the central part of Svalbard archipelago
Fig. 8. Line drawing of Sinuolinea arctica, sutural view. Scale bar = 10 µm.
3D scans of subglacial conduit under Rieperbreen, Svalbard
<p>3D scans of subglacial conduit under Rieperbreen, Svalbard. Data was collected with kinect_record from the libfreenect project (https://github.com/mankoff/kinect_record ). See <a href="https://github.com/mankoff/Hansbreen_2012">https://github.com/mankoff/Hansbreen_2012</a>, DOI <a href="https://dx.doi.org/10.1029/2018gl079590">10.1029/2018gl079590</a> and DOI <a href="https://dx.doi.org/10.1017/jog.2016.134">10.1017/jog.2016.134</a> for more information.</p>
Components of radon progeny in the air at the Gruvebadet observatory in Ny-Alesund (Svalbard islands, Norway) during the melting and the summer season in 2015
<p>Components of radon progeny in the air at the Gruvebadet observatory in Ny-Alesund (Svalbard islands, Norway) during the melting and the summer season in 2015. This dataset was obtained decomposing the three components (short-lived, long-lived and near-constant progenies) considering the different decay processes.</p> <p>Raw data expressed in counts per second per cubic meter are presented in the first sheet. Smoothed data are included in the second sheet and meteorological hourly averages are reported in the third one.</p>
Fig. 3 in Lower Permian bryozoans from southern and central Spitsbergen, Svalbard
Fig. 3. Lithological log and distribution of bryozoans through the Treskelen section.
Fig. 2 in Lower Permian bryozoans from southern and central Spitsbergen, Svalbard
Fig. 2. Lithostratigraphy of Hornsund area and inner Isfjorden area (emended from Dallmann 1999).
Fig. 1 in Lower Permian bryozoans from southern and central Spitsbergen, Svalbard
Fig. 1. Map of Svalbard with localities mentioned in the text.
Drone-based mapping of Hiorthhamn in Svalbard
<p>This datasets contains more than 3,300 pictures that were during a drone-based mapping survey on 29 August 2020 in Hiorthhamn, Svalbard. The dataset was obtained with a DJI Mavic 2 Zoom drone during a one day campaign. The total coverage is about 8.5 km² and the ground resolution is about 5.5 cm/pixel. This dataset contains the raw images only. This dataset is used in the following publication: Nicu, I.C., Rubensdotter, L., Stalsberg, K., Nau, E. (2021). Coastal Erosion of Arctic Cultural Heritage in Danger: A Case Study from Svalbard, Norway. Water, 13(6), 784. doi.org/10.3390/w13060784.</p>
Snow height at the Admunsen-Nobile Climate Change Tower, Svalbard, Norway
<p>The automated station is operating at the Amundsen-Nobile Climate Change Tower since 2010, which is in a tundra site almost flat, located in the Kolhaugen area. The station is part of a complex infrastructure where multi-disciplinary observations are routinely performed.</p>
Snow height at the Gruvebadet Snow Resarch Site (Ny-Ålesund, Svalbard, Norway)
<p>The automated nivological station was installed in November 2020 in a flat area over the tundra about 80 meters far from the Gruvebadet Atmospheric Laboratory and nearby a snow sampling site from where weekly snow samples are collected for chemical analysis. Sensors have been calibrated by their companies before installation and are connected to a datalogger for continuous acquisition. For all the parameters, data are logged with 10-minute time resolution and then averaged over 1 hour.</p>
Snow temperature at the Gruvebadet Snow Resarch Site ( Ny-Ålesund, Svalbard, Norway)
<p>The automated nivological station was installed in November 2020 in a flat area over the tundra about 80 meters far from the Gruvebadet Atmospheric Laboratory and nearby a snow sampling site from where weekly snow samples are collected for chemical analysis. Sensors have been calibrated by their companies before installation and are connected to a datalogger for continuous acquisition. For all the parameters, data are logged with 10-minute time resolution and then averaged over 1 hour.</p>
Snow temperature at the Admunsen-Nobile Climate Change Tower, Svalbard, Norway
<p>The automated station is operating at the Amundsen-Nobile Climate Change Tower since 2010, which is in a tundra site almost flat, located in the Kolhaugen area. The station is part of a complex infrastructure where multi-disciplinary observations are routinely performed.</p>
Dataset from Osika and Jania (2024): Geomorphological and historical records of the surge-type behaviour of Hansbreen (Svalbard)
<h2>Geomorphological map of the terrestrial and submarine forefield of Hansbreen</h2> <p>This dataset contains shapefiles of geomorphological features in the terrestrial and submarine forefield of Hansbreen, a marine-terminating glacier in Hornsund (southern Spitsbergen, Svalbard), associated and described further in Osika and Jania (2024).</p> <p>Field investigation was conducted in 2021-2023. Mapping was performed in QGIS 3.22 using the WGS84/UTM33N spatial reference system and based on several datasets:</p> <ul> <li>a very high-resolution orthophotomap and DEM generated and published by Błaszczyk et al. (2022),</li> <li>bathymetric data generated and published by Błaszczyk et al. (2021) and from Kartverket.</li> </ul> <p>For detailed information about data sources used for mapping, see:</p> <p>Błaszczyk M and 12 others (2021) Factors controlling terminus position of Hansbreen, a tidewater glacier in Svalbard. J. Geophys. Res.: Earth Surf., 126(2), e2020JF005763 (doi: 10.1029/2020JF005763).</p> <p>Błaszczyk M, Laska M, Sivertsen A and Jawak SD (2022) Combined Use of Aerial Photogrammetry and Terrestrial Laser Scanning for Detecting Geomorphological Changes in Hornsund, Svalbard. Remote Sens., 14(3), 601. (doi: 10.3390/rs14030601).</p> <p> </p> <p><em>This work was funded by the National Science Centre of Poland (grant no. 2021/41/N/ST10/02070).</em></p> <p>Please cite the database alongside this resource: Osika A., Jania J., 2024: Geomorphological and historical records of the surge-type behaviour of Hansbreen (Svalbard). Annals of Glaciology 65, e31. doi:10.1017/aog.2024.32</p>
Biogeochemistry of Svalbard Glacial and Periglacial Groundwater Springs
<p>Biogeochemical data collected from water samples of periglacial and glacial groundwater springs on Svalbard between 2018 and 2023. </p>
Snow water equivalent at the Gruvebadet Snow Resarch Site ( NY-Alesund, Svalbard, Norway)
<p>The automated nivological station was installed in November 2020 in a flat area over the tundra about 80 meters far from the Gruvebadet Atmospheric Laboratory and nearby a snow sampling site from where weekly snow samples are collected for chemical analysis. Sensors have been calibrated by their companies before installation and are connected to a datalogger for continuous acquisition. For all the parameters, data are logged with 10-minute time resolution and then averaged over 1 hour.</p>
SWAN wave model simulations for Hornsund, Svalbard, 07.2015-06.2023
<p>Results of SWAN model simulations from the paper:</p> <p>Herman, A., Swirad, Z., Moskalik, M., 2024, Increased exposure of the shores of Hornsund (Svalbard) to wave action due to a rapid shift in sea ice conditions. <em>submitted to Elementa: The Science of Anthropogeny</em>.</p> <p>The dataset contains SWAN results from three stations: Gåshamna (GAS; 76.9506°N, 15.7710°E, 22 m depth), Veslebogen (VES; 76.9951°N 15.4881°E, 16 m depth) and Hansbukta (HBK; 77.0031°N, 15.6298°E, 22 m depth). </p> <p>For each station, 1D wave energy spectra and integral wave parameters are available, hourly from 01.07.2015 to 30.06.2023. There is one *.mat file for each station. The contents of these files is described in the text file info.txt. </p>
Supplementary data for: "Emergence of Potential Anadromous Arctic Charr (Salvelinus alpinus) Habitats in the Svalbard Archipelago after the End of the Little Ice Age"
<p><strong>Supplementary data for: “Emergence of Potential Anadromous Arctic Charr (<em>Salvelinus alpinus</em>) Habitats in the Svalbard Archipelago after the End of the Little Ice Age” </strong></p> <p><a href="https://doi.org/10.1029/2024JG008367">https://doi.org/10.1029/2024JG008367</a></p> <p> </p> <p>Abstract: Glaciers in the Svalbard Archipelago are retreating rapidly in response to climate change. The retreat of glaciers leads to alteration of the hydrological and thermal regimes of the freshwater ecosystems. In this delicate context, existing anadromous Arctic charr (<em>Salvelinus alpinus</em>) populations are at severe risk and might disappear from the archipelago. However, the retreat of glaciers also promotes the formation of new lake systems that might be suitable for colonization by anadromous Arctic charr. These systems may provide a substantial opportunity for the establishment of new populations of anadromous charr, potentially buffering the decline in existing systems. To date, there is a lack of information on the number of recently deglaciated lake systems that have emerged since the end of the Little Ice Age (ca. 1920) that might be suitable for charr colonization. Therefore, the goal of this paper is to provide an initial assessment of the number of these lakes. To this end, and in accordance with previously published research, this study assesses whether a recently deglaciated lake system is potentially open to colonization based on gradient, river length, and lake surface area. Depending on the applied threshold (four in total), up to 24 lake systems are classified as potentially open to colonization by anadromous Arctic charr, with Spitsbergen emerging as a colonization hotspot. The findings of this paper might serve as basis for new studies and for implementing proactive management and conservation strategies to protect anadromous charr populations.</p> <p> </p> <p><strong>Data description:</strong></p> <p> </p> <p><em>Recently_Deglaciated_Systems</em> [EPGS: 25833] - Shapefile containing the information of 168 lake systems that emerged between 1936/1938 and 2020 in the Svalbard Archipelago</p> <p>ID: Identification number</p> <p>X: Easting</p> <p>Y: Northing</p> <p>Fall?: Presence of the lake system in fall (with dates when the lake was visible in satellite images)</p> <p>Spring?: Presence of the lake system in spring (with dates when the lake was visible in satellite images)</p> <p>Info: information regarding the type of system (i.e., larger lake surrounded by lakes and ponds or system of multiple lakes and ponds). If blank, lake is considered single.</p> <p> </p> <p><em>Analysis</em> [EPGS: 25833] - Shapefile containing the analysis of 125 lake systems with connection to the ocean.</p> <p>ID: Identification number</p> <p>X: Easting</p> <p>Y: Northing</p> <p>Surface (km<sup>2</sup>): Surface of the connected recently deglaciated lake system (km<sup>2</sup>)</p> <p>Elevation (m): Elevation of the outlet (m)</p> <p>Length (m): River length (m)</p> <p>Slope (%): Slope of the river (%)</p> <p>SV1: Result of the classification with SV1</p> <p>SV2: Result of the classification with SV2</p> <p>HY: Result of the classification with HY</p> <p>NO: Result of the classification with NO</p>
Determinants of heart rate in Svalbard reindeer reveal mechanisms of seasonal energy management
<p>Seasonal energetic challenges may constrain an animal's ability to respond to changing individual and environmental conditions. Here we investigated variation in heart rate, a well-established proxy for metabolic rate, in Svalbard reindeer, a species with strong seasonal changes in foraging and metabolic activity. In 19 adult females we recorded heart rate, subcutaneous temperature and activity using biologgers. Mean heart rate more than doubled from winter to summer. Typical drivers of energy expenditure, such as reproduction and activity, explained a relatively limited amount of variation (2–6% in winter and 16–24% in summer), compared to seasonality which explained 75% of annual variation in heart rate. The relationship between heart rate and subcutaneous temperature depended on individual state via body mass, age and reproductive status, and the results suggested that peripheral heterothermy is an important pathway of energy management in both winter and summer. While the seasonal plasticity in energetics make Svalbard reindeer well-adapted to their highly seasonal environment, intraseasonal constraints on modulation of their heart rate may limit their ability to respond to severe environmental change. This study emphasizes the importance of encompassing individual state and seasonal context when studying energetics in free-living animals.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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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.