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197 results for “Canadian Arctic”

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dryad40/100

Land cover classification and mapping of a polar desert in the Canadian Arctic Archipelago

<p>The use of remote sensing for developing land cover maps in the Arctic has grown considerably in the last two decades, especially for monitoring the effects of climate change. The main challenge is to link information extracted from satellite imagery to ground covers due to the fine-scale spatial heterogeneity of Arctic ecosystems. There is currently no commonly accepted methodological scheme for high-latitude land cover mapping, but the use of remote sensing in Arctic ecosystem mapping would benefit from a coordinated sharing of lessons learned and best practices. Here, we aimed to produce a highly accurate land cover map of the surroundings of the Canadian Forces Station Alert, a polar desert on the northeastern tip of Ellesmere Island (Nunavut, Canada) by testing different predictors and classifiers. To account for the effect of the bare soil background and water limitations that are omnipresent at these latitudes, we included as predictors soil-adjusted vegetation indices and several hydrological predictors related to waterbodies and snowbanks. We compared the results obtained from an ensemble classifier based on a majority voting algorithm to eight commonly used classifiers. The distance to the nearest snowbank and soil-adjusted indices were the top predictors allowing the discrimination of land cover classes in our study area. The overall accuracy of the classifiers ranged between 75 and 88%, with the ensemble classifier also yielding a high accuracy (85%) and producing less bias than the individual classifiers. Some challenges remained, such as shadows created by boulders and snow covered by soil material. We provide recommendations for further improving classification methodology in the High Arctic, which is important for the monitoring of Arctic ecosystems exposed to ongoing polar amplification.</p>

opencc-zeroMar 2023View details →
dryad40/100

Land cover classification and mapping of a polar desert in the Canadian Arctic Archipelago

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publicJun 2023View details →
dryad40/100

Data on transit history and anti-fouling practices for ships arriving to the Canadian Arctic

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publicFeb 2022View details →
zenodo36/100

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&nbsp;<a href="https://www.atmospheric-chemistry-and-physics.net/">Atmospheric Chemistry and Physics</a></p>

opencc-by-4.0Nov 2024View details →
dryad36/100

Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes

<p>The R code and data to support the manuscript "Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes" published by Dunmall &amp; Langan et al. 2024 in Global Change Biology. Briefly, this study investigated the mechanisms behind variable, rising catches of Pacific salmon by subsistence fishers in the Canadian Arctic. Detailed descritptions of the data and the performed analyses are provided in the associated manuscript.</p>

opencc-zeroMay 2024View details →
zenodo36/100

Fig. 1 in Foxes (Vulpes vulpes) as sentinels for parasitic zoonoses, Toxoplasma gondii and Trichinella nativa, in the northeastern Canadian Arctic

Fig. 1. Map of Nunavik (© Lemire et al., 2015).

opencc-by-4.0Dec 2018View details →
zenodo36/100

Canadian Arctic narwhal and bowhead whale genomic variants

<p>This dataset contains resequencing data used in our Arctic whale genomics research exaiming population structure and demographic history in bowhead whales and narwhal, including unfiltered genomic variants and filtered SNPs. Source code for genomic analyses is available at&nbsp;<a href="http://github.com/edegreef/NBW-resequencing">github.com/edegreef/arctic-whales-resequencing</a>. Data uploaded here contain:</p> <ul> <li><strong>bowhead_sample_info.csv</strong>&nbsp;- metadata for bowhead whale samples</li> <li><strong>bowhead_RWmap_allvariants.vcf.gz</strong>&nbsp;- all variant calls in bowhead whales, including indels and SNPs (n = 21)</li> <li><strong>bowhead_RWmap_snps.filtered.autosomes.vcf.gz&nbsp;</strong>- bowhead whale SNPs filtered for quality, bi-allelic sites, and autosomes (n = 21)</li> <li><strong>bowhead_RWmap_snps.filtered.autosomes.hwe_maf_LDprunedr08_n20.vcf.gz</strong>&nbsp;- bowhead whale SNPs filtered for quality, bi-allelic sites, out of HWE, MAF &gt; 0.05, LD-pruned, removal of close kin (n = 20).<br><br></li> <li><strong>narwhal_sample_info.csv</strong>&nbsp;- metadata for narwhal samples</li> <li><strong>narwhal_allvariants.vcf.gz</strong>&nbsp;- all variant calls in narwhals, including indels and SNPs for bowhead whales (n = 62*)</li> <li><strong>narwhal_snps.filtered.autosomes.vcf.gz&nbsp;</strong>- narwhal SNPs filtered for quality, bi-allelic sites, and autosomes (n = 62*)</li> <li><strong>narwhal_snps.filtered.autosomes.hwe_maf_LDprunedr08_n57.vcf.gz</strong>&nbsp;- narwhal SNPs filtered for quality, bi-allelic sites, out of HWE, MAF &gt; 0.05, LD-pruned, removal of duplicates, close kin, and samples with high missingness (n = 57)</li> </ul> <p>The asterisk* is to note this includes 2 duplicate samples that were removed from the analyses and respective manuscript.</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

FIG. 1 in Archaeofaunal signatures of specialized bowhead whaling in the Western Canadian Arctic: a regional study

FIG. 1. — Mackenzie Inuit (Siglit) main winter villages and territories (after Betts 2009:Fig. 2).

opencc-by-4.0Jun 2013View details →
zenodo36/100

FIG. 2 in Archaeofaunal signatures of specialized bowhead whaling in the Western Canadian Arctic: a regional study

FIG. 2. — Bowhead whale mandible eroding from bank at McKinley Bay, Northwest Territories.

opencc-by-4.0Jun 2013View details →
dryad36/100

Data for: Unprecedented shift in Canadian High Arctic polar bear food web unsettles four millennia of stability

<p><span>Stable carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) isotope analysis was conducted on modern and archaeological polar bear bone collagen from the Canadian Arctic Archipelago to investigate potential changes in polar bear foraging ecology over four millennia. Polar bear </span><span>δ<sup>13</sup>C</span><span> values showed a significant decline in the modern samples relative to all archaeological time-bins, indicating a disruption in the sources of production that support the food web, occurring after the Industrial Revolution. The trophic structure, indicated through </span><span>δ<sup>15</sup>N</span><span>, remained unaltered throughout all time periods. The lower </span><span>δ<sup>13</sup>C</span><span> observed in the modern samples indicates a change in the relative importance of pelagic (supported by open-water phytoplankton) over sympagic (supported by sea ice-associated algae) primary production. The consistency in polar bear </span><span>δ<sup>13</sup>C</span><span> through the late Holocene includes climatic shifts such as the Medieval Warm Period (MWP, A.D. 950–1250) and the early stages of the Little Ice Age (LIA, A.D. 1300–1850). These findings suggest that polar bears inhabit a food web that is more pelagic and less sympagic today than it was through the Late Holocene. We suggest that modern, anthropogenic warming has already affected food web structure in the Canadian Arctic Archipelago when modern data are contextualized with a deep time perspective.</span></p>

opencc-zeroDec 2022View details →
zenodo36/100

Multi-technique surface geophysical surveys over Devon Ice Cap, Canadian Arctic

<p>This dataset was acquired during a multi-technique surface geophysical campaign in May 2022 over Devon Ice Cap, Canadian Arctic.</p> <p><strong>Description of data:</strong></p> <p><strong>Seismic</strong><br> 9 km of active source seismic reflection data<br> raw segy files for line A and line B<br> seismic observation log<br> matlab script for plotting a raw stack of line A and line B<br> coordinates of each seismic spread, with the ice surface elevation and estimated bed elevation</p> <p><strong>Transient electromagnetic (TEM)&nbsp;</strong><br> 7 large loop TEM soundings&nbsp;<br> with 500 x 500 m loop with receiver 250 m outside the loop (away from the transmitter)<br> USF files for each sounding<br> coordinates for each TEM sounding<br> TEM observation log &nbsp;</p> <p><strong>Magnetotelluric (MT)</strong><br> 17 MT stations<br> raw, unprocessed EDI files&nbsp;<br> coordinates for each MT station&nbsp;<br> MT observation log</p> <p>Time series data (~80GB) can be found at:<br> https://drive.google.com/drive/folders/1OyCIP_B3VUJ4-ULSp8YOAPuNEMHuNcN-?usp=share_link</p> <p><strong>Acknowledgments</strong></p> <p>We thanks the Polar Continental Shelf Program for logistical support throughout the field season;&nbsp; Rob Harris at Geonics for his support and help with the TEM method;&nbsp; Zoe Vestrum at the University of Alberta for her MT support during deployment to the field; &nbsp;</p> <p><strong>Funding</strong></p> <p>This work was funded by the Weston Family Foundation. The aircraft hours were funded by the Polar Continental Survey Program (PCSP) and ArcticNet. MT survey was supported by a NSERC Discovery Grant to Martyn Unsworth and the Future Energy Systems program at the University of Alberta.&nbsp;</p> <p><strong>Corresponding Author</strong></p> <p>Siobhan Killingbeck skillin1@ualberta.ca</p>

opencc-by-4.0Feb 2023View details →
zenodo36/100

Proxy SIT Canadian Arctic - dataset

<p>Dataset of proxy sea ice thickness for Canadian Arctic 1996-2020. A discussion of how the proxy sea ice thickness dataset was created is available as a preprint (Glissenaar et al., accepted) at <a href="https://doi.org/10.5194/egusphere-2023-269">https://doi.org/10.5194/egusphere-2023-269</a>. Code used to generate and analyse proxy SIT is available on <a href="https://github.com/IsoldeGlissenaar/seaiceproxy">https://github.com/IsoldeGlissenaar/seaiceproxy</a>.</p> <p>There is a different file for each month in November-April. Files contain the proxy sea ice thickness using the mean of the Ku band and the C band models and a corrected proxy sea ice thickness version. Dataset is now gridded.</p>

openother-openAug 2023View details →
dryad36/100

Abundance and distribution of birds from comprehensive surveys of the Canadian Arctic, 1994-2018

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publicSep 2025View details →
dryad36/100

Data from: Aerial survey of sea ducks and whales in winter in eastern Canadian Arctic

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publicOct 2025View details →
dryad36/100

Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes

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publicMay 2024View details →
dryad36/100

Data for: Unprecedented shift in Canadian High Arctic polar bear food web unsettles four millennia of stability

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publicDec 2022View details →
zenodo32/100

FIGURE 59. Rhamphomyia setosa Coquillett. A in Rhamphomyia Meigen of the Canadian Arctic Archipelago, Greenland and Iceland (Diptera: Empididae)

FIGURE 59. Rhamphomyia setosa Coquillett. A. hirticula Collin type labels; B. hirticula Collin lectotype, lateral view; C. setosa Coquillett type labels (photograph @ Smithsonian Institute); D. setosa Coquillett lectotype, lateral view (photograph @ Smithsonian Institute).

opennotspecifiedSep 2019View details →
zenodo32/100

FIGURE 46 in Rhamphomyia Meigen of the Canadian Arctic Archipelago, Greenland and Iceland (Diptera: Empididae)

FIGURE 46. Rhamphomyia (Pararhamphomyia) simplex Zetterstedt. A. Male hindleg, anterior view; B. Male terminalia, lateral view.

opennotspecifiedSep 2019View details →
zenodo32/100

FIGURE 45 in Rhamphomyia Meigen of the Canadian Arctic Archipelago, Greenland and Iceland (Diptera: Empididae)

FIGURE 45. Known distribution of Rhamphomyia (Pararhamphomyia) septentrionalis sp. nov. in North America.

opennotspecifiedSep 2019View details →
zenodo32/100

FIGURE 43 in Rhamphomyia Meigen of the Canadian Arctic Archipelago, Greenland and Iceland (Diptera: Empididae)

FIGURE 43. Known distribution of Rhamphomyia (Pararhamphomyia) petervajdai sp. nov. in North America.

opennotspecifiedSep 2019View details →

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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.

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OpenNeuro

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Last verified 2026-04-29Open record