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1,604 results for “Wintering”
Spatial variation in early-winter snow cover determines local dynamics in a network of alpine butterfly populations
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Winter-run Chinook salmon resource selection function 2020
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2019_Winter_Gucheng_ACSMData
<p>Data used in the paper "Chemical Differences between PM<sub>1</sub> and PM<sub>2.5</sub> in Highly Polluted Environment and Implications in Air Pollution Studies"</p>
Subseasonal vacillations in the winter stratosphere
<p>Data and code to re-produce all figures and tables in "Subseasonal vacillations in the winter stratosphere", to be published in Geophysical Research Letters.</p>
Ice sheet effects to the Asian winter monsoon since the Last Glacial Maximum
<p><strong><em>Modern climate data, surface sediment dataset, <em><strong> Simu</strong></em>lations of TRACE and PMIP3.</em></strong></p>
Figure 2 from: Devos K, T'jollyn F, Desmet P, Piesschaert F, Brosens D (2020) Watervogels – Wintering waterbirds in Flanders, Belgium. ZooKeys 915: 127-135. https://doi.org/10.3897/zookeys.915.38265
Figure 2 Map of the waterVogelTelgebieden (localities) in Flanders in which the waterbirds are counted. The geospatial dataset is available in this repository.
Figure 8 in Winter species composition, diversity and abundance of macrozoobenthos in Kuwait's waters, Arabian Gulf
Figure 8. Averages of a the indices of diversity by Margalef, Shannon-Wiener and Simpson (D, H`loge and l-λ`, respectively), and b Pielou index of evenness and Simpson index of dominance (J` and λ`, respectively) for the benthic community in the three studied localities.
Figure 6 in Winter species composition, diversity and abundance of macrozoobenthos in Kuwait's waters, Arabian Gulf
Figure 6. The variation in Margalef and Shannon-Wiener indices (D and H`loge, respectively, denoted as a and b, respectively) evaluated for the three examined areas (Failaka, Kuwait Bay and Bubiyan).
Lidar-derived snow depth maps along the Chilean Extratropical Andes, winter 2018
<p>All the files included here contain the data produced for the manuscript "<strong>Spatial distribution and scaling properties of lidar-derived snow depth in the extratropical Andes</strong>", submitted for possible publication in Water Resources Research. Lidar measurements for snow-covered conditions were conducted on September 4th, August 9th, and October 25th 2018 in Tascadero, Las Bayas and Valle Hermoso, respectively. Each data acquisition was conducted using a Riegl VZ6000 long range scanner on dates with and without snow, using an angular resolution of 0.01°.</p> <p>Lidar-derived maps are contained in the following files:</p> <p>SiteName_SD_TPI.txt (SiteName: Tascadero, Las Bayas, VH East or VH West).</p> <p>Where the file structure is as follows:</p> <p>X,Y,Z,SD,SLP,NOR,TPI04,TPI07,TPI15,TPI20,TPI30,TPI40,TPI50</p> <p>where Z is bare earth elevation (m a.s.l.), SD is snow depth, SLP is slope (°), NOR is northness (°) whereby 180 = north facing and 0 = south facing, TPIXX is the Topographic Position Index (TPI) computed for a search distance of XX m, whereby positive differences are convex landforms, and negative is concave. The magnitude of TPI indicates the scale of the relative concavity/convexity.</p> <p>Variogram results are contained in files .rsav with the following nomenclature:</p> <p>SiteName_X_TypeOfVariogram.rsav</p> <p>Where X can be SD (snow depth) or Z (bare earth topography), and the type of variogram can be omnidirectional or directional.</p>
Data from: Habitat loss and thermal tolerances influence the sensitivity of resident bird populations to winter weather at regional scales
<p>1. Climate change and habitat loss pose the greatest contemporary threats to biodiversity, but their impacts on populations largely vary across species. These differential responses could be caused by complex interactions between landscape and climate change and species-specific sensitivities.</p> <p>2. Understanding the factors that determine which species are most vulnerable to the synergistic effects of climate change and habitat loss is a high conservation priority. Here, we ask (a) whether and to what extent land cover moderates the impacts of winter weather on population dynamics of wintering birds, and (b) what role species' physiology might play in modifying their responses to changing weather conditions.</p> <p>3. To address these questions, we used thousands of observations collected by citizen scientists participating in Project FeederWatch to build dynamic occupancy models for 14 species of wintering birds.</p> <p>4. Populations of wintering birds were more dynamic, having higher rates of local extinction and colonization, in more forested landscapes during extreme cold – presumably enabling them to better track resources. However, urban areas appeared to provide refuge for some species, as demonstrated by increased local colonization during the harshest winter weather. Lastly, we found that species-specific differences in thermal tolerances strongly influenced occupancy dynamics such that species that are less cold-tolerant were more likely to go locally extinct at colder sites and during colder periods throughout winter.</p> <p>5. Together, our results suggest species that are less cold-tolerant and populations occupying less forested landscapes are most vulnerable to extreme winter weather. 11-Jun-2020</p>
Supplementary material 4 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Intermediate output files of the case study applying the SInAS workflow
Supplementary material 3 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Final output files of the case study applying the SInAS workflow
Supplementary material 2 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Supplementary Tables S1–S4
Supplementary material 5 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Unresolved entries of the case study applying the SInAS workflow
Supplementary material 1 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Technical description and manual of the SInAS workflow implementation in R
Data for "Fine-scale tundra vegetation patterns are strongly related to winter thermal conditions"
<p>This page links to the data and code associated with the publication Niittynen et al. (In Press). "Fine-scale tundra vegetation patterns are strongly related to winter thermal conditions".</p> <p>The dataset contains fine-scale microclimatic, soil and species (vascular plant, bryophyte and lichen) data from three Arctic areas.The environmental data and analyses are describes in the linked publication.</p>
Figure 1 from: Fanfarillo E, Latini M, Iberite M, Abbate G (2020) The segetal flora of Italy: an occurrence dataset from relevés in winter cereals and allied crop types. PhytoKeys 161: 107-118. https://doi.org/10.3897/phytokeys.161.53915
Figure 1 Geographical coverage of the "Segetal flora of Italy" dataset. Different colours express the different number of records per cell (darker colours = higher number of records).
Winter associations predict social and extra-pair mating patterns in a wild songbird
<p>Despite decades of research, our understanding of the underlying causes of within-population variation in patterns of extra-pair paternity (EPP) remains limited. Previous studies have shown that extra-pair mating decisions are linked to both individual traits and ecological factors. Here, we examine whether social associations among individuals prior to breeding also shape mating patterns, specifically the occurrence of EPP, in a small songbird, the blue tit. We test whether associations during the non-breeding period predict (1) future social pairs, (2) breeding proximity, i.e. the distance between breeding individuals, and (3) the likelihood that individuals have extra-pair young together. Individuals that were more strongly associated (those that foraged more often together) during winter tended to nest closer together. This, by itself, predicts EPP patterns, because most extra-pair sires are close neighbours. However, even after controlling for spatial effects, female-male dyads with stronger social associations prior to breeding were more likely to have extra-pair young. Our findings reveal a carry-over from social associations into future mating decisions. Quantifying the long-term social environment of individuals and studying its dynamics is a promising approach to enhance our understanding of the process of (extra-) pair formation. </p>
Molecular distributions of diacids, oxoacids and -dicarbonyls in summer- and winter-time fine aerosols from Tianjin, North China: Emissions from combustion sources and aqueous phase secondary formation
<p>To understand the characteristics and sources of organic aerosols (OA) in North China, we studied diacids, oxoacids and <em>α</em>-dicarbonyls in summer- and winter-time fine aerosols (PM<sub>2.5</sub>) collected from Tianjin. Oxalic (C<sub>2</sub>) acid was found to be the most abundant diacid species, followed by succinic (C<sub>4</sub>), malonic (C<sub>3</sub>) and sebacic (C<sub>8</sub>) acids, respectively. Glyoxylic (wC<sub>2</sub>) was the most abundant oxoacids followed by pyruvic acid. Concentrations of total diacids, oxoacids and <em>α</em>-dicarbonyls in winter were 2~3 times higher than those in summer, but their mass fractions in PM<sub>2.5</sub> were exactly the opposite. On average, total diacids carbon accounted for 2.9% in total carbon and 3.3% in organic carbon (OC) in summer and 1.8% and 2.0%, respectively, in winter. Their contributions to water-soluble OC (WSOC) was almost the same in both seasons (5.5% and 5.3%, respectively). Molecular distributions, mass ratios of selected diacid (C<sub>3</sub>, C<sub>4</sub>, M, F C<sub>6</sub>, Ph and C<sub>9</sub>) species and the linear relations among the selected species (including åC<sub>2</sub>-C<sub>4</sub> and åC<sub>8</sub>-C<sub>12</sub>) and with inorganic markers (K<sup>+</sup> and SO<sub>4</sub><sup>2-</sup>) implied that the diacids and related compounds are mainly originated from coal combustion and biomass burning emissions and produced in the atmosphere by both <em>in-situ</em> photochemical reactions at local scale and aging during long-range transport in both summer and winter. This study revealed that diacids and related compounds and WSOC are increased with increasing SO<sub>4</sub><sup>2-</sup> and they are produced in aqueous phase, implying the need of reduction in oxidants (NO<em><sub>x</sub></em> and SO<sub>2</sub>) emissions to control the water-soluble OA loading over North China.</p>
Lipid content and stable isotopes of zooplankton during five winters around the northern Antarctic Peninsula
<p>The Southern Ocean zooplankton community is diverse, yet most species are understudied, especially with respect to their overwinter feeding ecologies. This dataset describes body condition and trophic biomarker data (lipid content and stable isotopes of carbon and nitrogen) from 19 zooplankton species collected over five consecutive winters (August and September 2012 – 2016) around the northern Antarctic Peninsula. To complement these data and provide context for interpretation, we report environmental data (percent sea-ice cover, sea-ice type, water temperature, salinity, and integrated chlorophyll-a (to 100 m)) as well as species abundance data at each sampling location. For most species, these are the first winter measurements or time series of body condition, trophic position, and abundance in relation to environmental variables around the northern Antarctic Peninsula. </p>
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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)
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.