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15 results for “sub-Arctic”
Long-term measurements of aerosol precursor concentrations in the Finnish sub-Arctic boreal forest
<p>This data set is connected to the article: </p> <p>Jokinen, T., Lehtipalo, K., Thakur, R. C., Ylivinkka, I., Neitola, K., Sarnela, N., Laitinen, T., Kulmala, M., Petäjä, T., and Sipilä, M.: Measurement report: Long-term measurements of aerosol precursor concentrations in the Finnish sub-Arctic boreal forest, Atmos. Chem. Phys., 2022</p>
Data supporting Comparison of feeding niches between Arctic and northward moving sub-Arctic marine mammals in Greenland
<p>Data supporting the paper:</p> <blockquote> <p>Land-Miller, H., A. Roos, M. Simon, R. Dietz, C. Sonne, S. Pedro, A. Rosing-Asvid, F. Rigét, and M. McKinney. 2023. Comparison of feeding niches between Arctic and northward moving sub-Arctic marine mammals in Greenland. Marine Ecology Progress Series.</p> </blockquote> <p>This data is in five files:</p> <p>1. <strong>greenland_marmam_metadata.csv</strong> contains metadata for all samples used in this project, including sample identifiers:</p> <ul> <li><em>Sample: </em>unique sample ID per individual animal</li> <li><em>Species</em></li> </ul> <p>and details of collection, including <em>Year, Location </em>(general area), <em>Lat, </em><em>Long, </em>and<em> </em><em>Date. </em>It also includes other data on the animal (<em>Sex, Age, Length</em>), when available, as well as the co-author who provided the sample to the project (<em>Sample sender</em>) and the tissues available/analyzed for each individual (<em>Tissues received</em>).</p> <p>2. <strong>all_sample_locations.csv</strong> includes latitude/longitude of each sample for mapping. Latitude and longitude are consistent with the full metadata file when coordinates were available, and estimated based on general sampling area (<em>Location </em>or <em>Area</em>) when not. The variable <em>estimate</em><strong> </strong>denotes samples for which coordinates were estimated.</p> <p>3. <strong>fatty_acids_greenland_marmams.csv </strong>contains fatty acid data for all samples. Variables <em>8:00</em> to <em>24:1n9</em> represent the proportion of each individual fatty acid, out of total fatty acids in that sample. Data are represented as whole number percents (i.e., 10 = 10% and all fatty acids sum to 100 for each sample). </p> <p>4. <strong>CNS_greenland_McGill.csv</strong> contains bulk stable isotope data for all samples analyzed at McGill. In addition to <em>Sample</em> and <em>Species</em>, this includes:</p> <ul> <li><em>treatment</em>: whether a sample was lipid-extracted (<em>LE</em>) or non-lipid-extracted (<em>nLE</em>) prior to analysis</li> <li><em>d15N</em>: stable isotope ratio δ<sup>15</sup>N</li> <li><em>d13C: </em>stable isotope ratio δ<sup>13</sup>C</li> <li><em>d34S: </em>stable isotope ratio δ<sup>34</sup>S</li> <li><em>perc.C: </em>mass percent of carbon in the sample</li> <li><em>perc.N: </em>mass percent of nitrogen in the sample</li> <li><em>perc.S: </em>mass percent of sulfur in the sample</li> <li><em>C.N.ratio: </em>mass ratio of carbon to nitrogen in the sample </li> </ul> <p>5. <strong>CN_greenland_nLE_copenhagen.csv</strong> contains stable isotope data for non-lipid-extracted samples analyzed at the University of Copenhagen for δ<sup>13</sup>C and δ<sup>15</sup>N. Variables <em>treatment</em>, <em>d13C</em>, and <em>d15N</em> are consistent with CNS_greenland_McGill.csv. </p>
A Gridded Microclimate Dataset from a Sub-Arctic Biodiversity Hotspot in Finland
<p><strong>The dataset comprises 63 spatially continuous microclimate surfaces for the Kilpisjärvi region in northwestern Finland. The study region is a biodiversity hotspot for arctic-alpine flora and fauna and one of the most extensively investigated regions in Northern Europe. The data were gathered through a collaborative network of microclimate loggers, encompassing 430 measurement locations that comprehensively cover the 300 km2 landscape under study. We employed predominantly well-performing Random Forest models to project microclimate variables across the study area at a 3-metre spatial resolution.</strong></p>
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 & 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>
Individual variation in migratory behavior in a sub-arctic partial migrant shorebird
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Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes
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Data from: Serenade of a Whimbrel: Understanding the function of display behaviour in a sub-Arctic territorial wader
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Data for: Effect of low-traffic roads on abundance of ground-nesting birds in sub-Arctic habitats
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Root traits and soil microorganisms as drivers of plant-soil feedbacks within the sub-arctic tundra meadow
<p>Plant-soil feedback (PSF) can influence the composition of various soil microorganisms (antagonistic and mutualistic), which can have reciprocal effects on plants. At the same time, we do not understand the effects of fine root traits in moderating microbial-driven PSF. We therefore conducted a greenhouse study to aid in understanding the relationship between root traits, soil community composition (PLFAs and high-throughput sequencing data) and plant-soil feedback (PSF). These data therefore include datasets with fine root traits, raw sequence reads from high-throughput sequencing for soil fungi, phospholipid fatty acid data and biomass data after the plant-soil feedback study.</p>
Plant macrofossil, peat geochemical and chronological data from sub-Arctic European peatlands
<p>This dataset consists of raw data from peat records analysed for plant macrofossils, peat geochemical properties supplemented by chronological control data from high-latitude Sweden, Finland and European Russia. Altogether, 33 peat cores were analysed from 16 peatlands. Peat cores were collected from seasonally thawed active peat layer with a box corer or a so-called Russian corer. Peat records cover both currently intermediate (n= 25) and dry (n= 8) surfaces. Majority of the sites (n= 12) are permafrost peatlands either with sporadic or discontinuous permafrost. Changes in peatland vegetation and peat and carbon accumulation were studied to resolve how high-latitude peatlands react to past and recent changes in climate. Peat properties were examined for bulk density, carbon (C), nitrogen (N) and C/N ratio. C accumulation was calculated for the past two millennia. To establish chronological control, peat layers were dated with 210Pb and radiocarbon 14. To create age-depth models we used Plum and the ages retrieved form the models are found in this dataset. The data have been analysed between 2016 and 2020. More information about the methods can be found from Piilo et al. “Consistent centennial-scale change in European sub-Arctic peatland vegetation towards <em>Sphagnum</em> dominance – implications for carbon sink capacity”. Global Change Biology.</p>
Phylogenetic signal of sub-arctic beetle communities
<p>Post-glacial dispersal and colonization processes have shaped community patterns in sub-Arctic regions such as Churchill, Manitoba, Canada. This study investigates evolutionary community structure within the beetle (Coleoptera) families of Churchill and tests whether biological traits have played a role in governing colonization patterns from refugial and southerly geographic regions. This study quantifies sub-Arctic beetle phylogenetic community structure for each family using the net relatedness index (NRI) and nearest taxon index (NTI), calculated using publicly available data from the Barcode of Life Data Systems (BOLD); compares patterns across families with different traits (habitat, diet) using standard statistical analysis (ANOVA) as well as phylogenetic generalized least squares (PGLS) using a family-level beetle phylogeny obtained from the literature; and compares community structure in Churchill with a region in southern Canada (Guelph, Ontario). These analyses were also repeated at a genus level. The dominant pattern detected in our study was that aquatic families were much better represented in Churchill compared to terrestrial families, when compared against richness sampled from across Canada and Alaska. Individually, most families showed significant phylogenetic clustering in Churchill, likely due to the strong environmental filtering present in Arctic environments. There was no significant difference in phylogenetic structure between Churchill and Guelph but with a trend towards stronger clustering in the North. Fungivores were significantly more overdispersed than other feeding modes, predators were significantly more clustered, and aquatic families showed significantly stronger clustering compared to terrestrial. This study contributes to our understanding of the traits and processes structuring insect biodiversity and macroecological trends in the sub-Arctic.</p>
Data from: Epibenthic predators control mobile macrofauna associated with a foundation species in a sub-arctic subtidal community
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Phylogenetic signal of sub-arctic beetle communities
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Data from: Spatial synchrony in sub-arctic geometrid moth outbreaks reflects dispersal in larval and adult lifecycle stages
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Root traits and soil microorganisms as drivers of plant-soil feedbacks within the sub-arctic tundra meadow
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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