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152 results for “High Arctic”
Fig. 11 in Myxozoa in high Arctic: Survey on the central part of Svalbard archipelago
Fig. 11. Maximum likelihood tree (-ln = 18360.2248) based on 52 SSU rDNA myxosporean sequences available in GenBank and newly obtained data (in bold blue colour) belonging to the marine urinary clade. Numbers at the nodes represent the bootstrap values and the Bayesian posterior probability (ML/MP/BI) gaining more than 50% support (ML and MP) and 0.5 posterior probability (BI), respectively. Bold branches lead to a node with a bootstrap support of À95 and a Bayesian posterior probability of À0.97. Scale bar is given under the tree. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Proglacial sediments in High Arctic glacier foreland: A case study of Werenskioldbreen, Svalbard
<p><span>The glacier environment exhibit a high sensitivity to the global climate change leading to progressive deglaciation and the exposure of previously ice-covered land. The newly exposed <a name="_Hlk165289159"></a>terrain provides a valuable opportunity to observe rapid ecosystem changes, such as the accumulation of glacial sediments, the development of soil-forming and progressive alterations in water and biogeochemical cycles. While developing hydrological and hydrogeological models for the Werenskioldbreen proglacial expanding zone, we encountered a significant problem due to insufficient data for parameterizing glacial sediments, constituting the environment for water flow and storage. These data provide detail insight into the physicochemical parameters of glacial sediments and classify them in terms of grain size distribution, hydraulic conductivity, pH, and C<sub>org</sub>, N<sub>t </sub>and P<sub>t</sub> contents. </span><span>Samples for macroscopic examination and further laboratory analysis were collected from each different proglacial sediment in the profile. Macroscopic characterisation in the field was carried out in accordance with standards <span><span>PN-EN ISO 14688-1 and PN-EN ISO 14688-2 introduced into the catalogue of Polish Standards in 2006 and are cited in PN-EN 1997-2:2009, known as Eurocode 7: Geotechnical engineering design - Part 2: Identification and investigation of soils.<br></span></span></span><span><span><span>More information on the data acquisition methodology is included in the publication (same title) or can be obtained through the contact provided.</span></span></span></p>
Model output from "A model intercomparison of CCN-limited tenuous clouds in the high Arctic"
<p>Model output from "A model intercomparison of CCN-limited tenuous clouds in the high Arctic", accepted for publication in Atmospheric Chemistry and Physics, 2018, same authors. The intercomparison includes output from three large-eddy simulation models (UCLALES-SALSA, MIMICA, and COSMO-LES) and three numerical weather prediction models (COSMO-NWP, WRF, and UM-CASIM) for a case study of high-Arctic tenuous cloud based on observations from the 2008 Arctic Summer Cloud Ocean Study (ASCOS) campaign. See publication for details. The discussion preprint for peer review can be found at https://doi.org/10.5194/acp-2017-1128.</p>
Dataset for "Inter-annual variability of summer net ecosystem CO2 exchange in High Arctic tundra" by Braybrook et al.
<p>A dataset with 30 min net ecosystem carbon dioxide exchange measurements (NEE) with and without gap-filling, derived component fluxes, gross primary productivity (GPP) and ecosystem respiration (R<sub>eco</sub>) and ancillary weather variables used to investigate how summer NEE, GPP and R<sub>eco</sub> varied over five years (2008, 2009, 2010, 2012, and 2014) at the Cape Bounty Arctic Watershed Observatory (CBAWO) (74.92˚N, 109.58˚W). The eddy covariance technique was used to measure NEE and a combined light and temperature response model was used to partition NEE into GPP and R<sub>eco</sub>. Further measurement and data processing details are described in the research paper, "Inter-annual variability of summer net ecosystem CO<sub>2</sub> exchange in High Arctic tundra", JGR Biogeosciences, 2021.</p>
Dead or alive; or does it really matter? Level of congruency between trophic modes in total and active fungal communities in High Arctic soil.
<p>These are the rDNA and rRNA fragments of Internal transcribed spacer 2 (ITS2) extracted from snow fence experiment in Adventdalen, Svalbard. </p> <p>This is a dataset described in Wutkowska et al., (2019), 'Dead or alive; or does it really matter? Level of congruency between trophic modes in total and active fungal communities in High Arctic soil.', published in Frontiers in Microbiology</p> <p>All other corresponding data (for splitting libraries, environmental parameters etc.) can be found here: https://github.com/magdawutkowska/Dead_or_alive</p> <p> </p>
Age and geochemistry of High Arctic Large Igneous Province tholeiitic magmatism in NW Axel Heiberg Island, Canada
<p>Original data presented in Excel format to accompany the paper "Age and geochemistry of High Arctic Large Igneous Province tholeiitic magmatism in NW Axel Heiberg Island, Canada" by Deegan et al. (2023), published in <em>Geochemistry, Geophysics, Geosystems </em>in the special collection on Arctic magmatism ("Through the Arctic Lens: Progress in Understanding the Arctic Ocean, Margins and Landmasses").</p> <p>The file contains major and trace element data, Sr-Nd-Pb isotope data, and Ar-Ar dates for a suite of mafic rocks (lavas, dikes, and sills) from Bukken Fiord, NW Axel Heiberg Island, Canadian Arctic Islands.</p>
Data for: Microclimate structures communities, predation and herbivory in the High Arctic
Open the record for dataset details and reuse information.
Data from: Reindeer carcasses modulate vegetation composition and greenness in High-Arctic tundra
Open the record for dataset details and reuse information.
Long-term abundance time-series of the High Arctic terrestrial vertebrate community of Bylot Island, Nunavut
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Seasonal role of a specialist predator in rodent cycles: Ermine-lemming interactions in the High Arctic
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Data from: Snowmelt and laying date shape the parental care strategy of a high-Arctic shorebird
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Data from: Climate synchronises shrub growth across a high-arctic archipelago: contrasting implications of summer and winter warming
<p>Climate change is most pronounced at high latitudes, where plant and animal populations are often strongly influenced by environmental fluctuations related to climate and weather. Environmental conditions can co-fluctuate over large distances and thereby synchronise primary production in space. However, large-scale studies of such spatiotemporal patterns remain rare in the Arctic, where short time-series and poor spatial replication have characterised the data available on both biotic and abiotic parameters. Here, we use dendrochronological tools to measure ring growth of a dominant dwarf shrub, the polar willow (<i>Salix polaris</i> Wahlenb.), previously found to reliably trace community-level vascular plant biomass production. We investigated climate drivers of vegetation growth and their role in the synchronisation of primary production across the rapidly warming archipelago of Svalbard (n = 8 sites, composed of 17 sub-sites, 0.06-293 km apart). We found contrasting effects of summer versus winter weather on ring growth and its spatial synchrony. Although an overall positive effect of summer temperature caused spatially synchronous growth, negative impacts of winter rain-on-snow events occurred only locally, potentially counteracting such synchrony. However, the anticipated increase in both summer temperature and spatial extent of rain-on-snow events, causing basal ice encapsulation of the vegetation, could change the relative importance of seasons for spatiotemporal dynamics of shrub growth. Because these shrub ring growth chronologies reflect annual fluctuations in total vascular plant biomass, fuelling the bottom-up controlled food-web, these results have large implications for our understanding of how climate change shapes tundra ecosystem productivity in time and space.</p>
dataset for: Carbonate content and stable isotopic composition of atmospheric aerosol carbon in the Canadian High Arctic
<p>Dataset related to publication of the same title in <a href="https://www.atmospheric-chemistry-and-physics.net/">Atmospheric Chemistry and Physics</a></p>
CH4 top-down emissions from three high-latitude Arctic regions.
<p>This dataset contains top-down emissions from three high-latitude Arctic regions (the North Slope of Alaska, the East Siberian Lowlands and the Taymyr Peninsula) using three different priors. Emissions were used in the publication "Ward et al., 2024 - Increasing methane emissions and widespread cold-season release from high-Arctic regions detected through atmospheric measurements" in review with JGR:Atmospheres. </p> <p>Top-down emissions were derived using the RHIME inverse model from the University of Bristol's Atmopsheric Chemistry Research Group. For more details on the model, inputs and region definitions please see the above publication.</p>
Sea or summit? Wild reindeer spatial responses to changing high-arctic winters
<p>Data for the article “Sea or summit? Wild reindeer spatial responses to changing high-arctic winters”</p> <p>By ÅØ Pedersen, LT Beumer, R Aanes, BB Hansen</p> <p>The data set includes four files: A readme file describing the data files, and three data files accompanying the above publication.</p> <p>For further queries please contact Åshild Ø. Pedersen: Ashild.Pedersen@npolar.no</p>
Experimentally increased snow depth affects High Arctic microarthropods inconsistently over two consecutive winters
<p>Climate change induced alterations to winter conditions may affect decomposer organisms controlling the vast carbon stores in northern soils. Soil microarthropods are abundant decomposers in Arctic ecosystems affecting soil carbon release through their activities. We studied whether increased snow depth affected microarthropods, and if effects were consistent over two consecutive winters. We sampled Collembola and soil mites from a snow accumulation experiment at Svalbard in early summer and used soil microclimatic data to explore to which aspects of winter climate change microarthropods are most sensitive. Community densities differed substantially between years and increased snow depth in winter had inconsistent effects. Increased snow depth hardly affected microarthropods in 2015, but decreased overall abundance and altered relative abundances of microarthropod groups and Collembola species after a milder winter in 2016. Although our increased snow depth treatment enhanced soil temperatures by 3.2 ⁰C in the snow cover periods, the only good predictors of microarthropod density changes were soil conditions around snowmelt. Our study underpins that extrapolation of observations of decomposer responses to altered winter climate conditions to future scenarios should be avoided when communities are only sampled on a single occasion, since effects of longer-term gradual changes in winter climate may be obscured by inter-annual weather variability.</p>
Data and scripts for the article entitled "High temperature sensitivity of Arctic isoprene emissions explained by sedges"
<p>The package includes the data and scripts for generating the figures for the paper entitled "High temperature sensitivity of Arctic isoprene emissions explained by sedges".</p>
Dataset for "On the dynamics of ozone depletion events at Villum Research Station in the High Arctic" Pernov et al.
<p>***************************************************************************************************************************************<br>Please contact Henrik Skov (hsk@envs.au.dk) and Jakob Boyd Pernov (jakob.pernov@gmail.com) before using any of these data. <br>***************************************************************************************************************************************</p> <p>Please check (https://ebas.nilu.no/) for ozone, DMI (https://www.dmi.dk/publikationer) for meteorological data, and ERDA (https://erda.au.dk/) for meteorological data before downloading these data. These repositories are the original data sources. </p> <p><br>This repo contains two files "All_Data_for_Pernov_et_al.csv" and "Only_Data_for_ML_Pernov_et_al.csv"</p> <p>Both datasets contain the following variables ozone mixing ratios (ppbv), ODE flags (0 is Non-ODE and 1 is ODE), wind direction (degrees), wind speed (m s-1), temperature (°C), RH (%), Pressure (hPa), percent of the time air masses spent below the mixed layer and over sea ice (SeaIce, %) and snow (Snow %) as well as the percent of the time air masses spent above the mixed layer (AML, %). </p> <p>"All_Data_for_Pernov_et_al.csv" contains NaNs where data was unavailable when ozone data was available. The first column is the date and time (DD/MM/YYYY HH:mm). </p> <p>"Only_Data_for_ML_Pernov_et_al.csv" contains no NaNs since data was imputed and radiation was gap-filled as outlined in the article and supplement. The first column is the index. </p>
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.
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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)
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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.