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646 results for “Migration data”
Data from: Unequal contributions of species’ persistence and migration on plant communities’ response to climate warming throughout forests
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Data from: Distinguishing migration events of different timing for wild boar in the Balkans
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Data from: A full annual perspective on sex-biased migration timing in long-distance migratory birds
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Data from: Altered expression of pectoral myosin heavy chain isoforms corresponds to migration status in the white-crowned sparrow (Zonotrichia leucophrys gambelii)
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Data from: T cell morphodynamics reveal periodic shape oscillations in 3D migration
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Data from: Seeing in the dark: Using thermal imaging to directly observe nocturnal migration
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Data from: Whole-genome sequencing of 128 camels across Asia reveals origin and migration of domestic Bactrian camels
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Data from: Drivers of spring migration phenology in Rocky Mountain elk
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Data from: Finish with a sprint: evidence for time‐selected last leg of migration in a long‐distance migratory songbird
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Data from: February precipitation in the wintering grounds of the lesser whitethroat, Sylvia curruca: is it a cue for migration onset?
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Data from: Community-wide mesocarnivore response to partial ungulate migration
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Data from: Identifying loci under selection against gene flow in isolation with migration models
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Data from: Reduced CTGF Expression Promotes Cell Growth, Migration, and Invasion in Nasopharyngeal Carcinoma
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Data: Size-dependent patterns of cell proliferation and migration in freely-expanding epithelia
<p>Raw images ('*.tif" file extensions) and core measurement files ('*.mat file extension). For small and large circles, we include images of phase, GFP, RFP, and nuclei. We also include two ellipses in phase. '<a href="https://zenodo.org/api/files/f94dc36b-aa3a-40f5-800a-035282fdfad7/t0SummaryStats.mat">t0SummaryStats.mat</a>' gives information for the starting conditions of tissues represented by the '<a href="https://zenodo.org/api/files/f94dc36b-aa3a-40f5-800a-035282fdfad7/PIVunsmoothed.mat">PIVunsmoothed.mat</a>' and '<a href="https://zenodo.org/api/files/f94dc36b-aa3a-40f5-800a-035282fdfad7/Kymographs.mat">Kymographs.mat</a>' datasets. '<a href="https://zenodo.org/api/files/f94dc36b-aa3a-40f5-800a-035282fdfad7/ContinuityEqn_FVM.m">ContinuityEqn_FVM.m</a>' includes the solution to the continuity equation via the finite volume method as detailed in the materials and methods, and relies on data in '<a href="https://zenodo.org/api/files/f94dc36b-aa3a-40f5-800a-035282fdfad7/Kymographs.mat">Kymographs.mat</a>' and '<a href="https://zenodo.org/api/files/f94dc36b-aa3a-40f5-800a-035282fdfad7/t0SummaryStats_continuityEqn.mat">t0SummaryStats_continuityEqn.mat</a>'.</p>
Data from: To migrate or not: drivers of over-summering in a long-distance migratory shorebird
<p>The phenomenon of over-summering in southern non-breeding areas by boreal-breeding birds is particularly prevalent among shorebirds. Despite its frequency, it is understudied compared with most other aspects of shorebird ecology. Our aim was to expand knowledge of this subject through a study of Red Knots <i>Calidris canutus rufa </i>over-summering at a site in Argentina during the austral winter. We measured the proportion of one-year-old and adult over-summerers and evaluated the roles of flight-feather condition and physiological status (through leukocite profile, physiological stress index, and presence of blood parasites) as triggers for over-summering. We also explore sex-ratio, the evolution of body mass and extent of breeding plumage within each age-class. Over-summerers were 57% yearlings and 43% adults, 46% females and 54% males. Almost all yearlings exhibited incomplete molt of primary feathers and some were in active primary molt. This suggests that the condition of flight-feathers and the timing of molt are likely to be important factors selecting for deferred migration during the first year of life. Other factors, not associated with flight-feather molt, seem to trigger over-summering in adults, which had completed flight feather molt but had low fat loads and/or incomplete alternate plumage. We found no evidence of a weakened immune system, high loads of blood parasites, or high stress levels that can explain this poor migratory conditioning and therefore over-summering. Our data indicates that our adult age-class comprises both young individuals postponing first breeding until they are at least two years old and sexually mature individuals with prior reproductive experience skipping a breeding opportunity. Breeding propensity and age at first breeding are both poorly known, but key demographic parameters that determine population growth. This study suggests that potentially they can be estimated from mark-recapture at non-breeding areas and this warrants further study.</p>
Data set of ICSE 2021 paper submission "Static and Dynamic Analysis for the Migration of Monolith Systems to a Microservices Architecture"
<p>Data set of ICSE 2021 paper submission "Static and Dynamic Analysis for the Migration of Monolith Systems to a Microservices Architecture"</p>
Data from: Climate change-induced migration patterns and extinction risks of Theaceae species in China
Theaceae, an economically important angiosperm family, is widely distributed in tropical and subtropical forests in Asia. In China, Theaceae has particularly high abundances and endemism, comprising ~75% of the total genera and ~46% of the total species worldwide. Therefore, predicting the response of Theaceae species to climate change is vital. In this study, we collected distribution data for 200 wild Theaceae species in China, and predicted their distribution patterns under current and future climactic conditions by species distribution modeling (SDM). We revealed that Theaceae species richness is highest in southeastern China and on Hainan Island, reaching its highest value (137 species) in Fujian Province. According to the IUCN Red List criteria for assessing species threat levels under two dispersal assumptions (no dispersal and full dispersal), we evaluated the conservation status of all Theaceae species by calculating loss of suitable habitat under future climate scenarios. We predicted that nine additional species will become threatened due to climate change in the future; one species will be classified as critically endangered (CR), two as endangered (EN), and six as vulnerable (VU). Given their extinction risks associated with climate change, we recommended that these species be added to the Red List. Our investigation of migration patterns revealed regional differences in the number of emigrant, immigrant, and persistent species, indicating the need for targeted conservation strategies. Importantly, regions with high species turnover are located on the northern border of the entire Theaceae species distribution ranges owing to upwards migration; these regions are considered most sensitive to climate change and conservation planning should therefore be prioritized here. This study will contribute valuable information for reducing the negative impacts of climate change on Theaceae species, which will ultimately improve biodiversity conservation efficiency
Spatially anonymized data from: Novel step selection analyses on energy landscapes reveal how linear features alter migrations of soaring birds
<p>This dataset consists of spatially anonymized movement data as well as environmental covariate data to estimate energy landscape step selection selections for migratory golden eagles that summer in Alaska.</p> <ol> <li>Human modification of landscapes includes extensive addition of linear features, such as roads and transmission lines. These can alter animal movement and space use and affect the intensity of interactions among species, including predation and competition. Effects of linear features on animal movement have seen relatively little research in avian systems, despite ample evidence of their effects in mammalian systems and that some types of linear features, including both roads and transmission lines, are substantial sources of mortality.</li> <li>Here, we used satellite telemetry combined with step selection functions designed to explicitly incorporate the energy landscape (el‐SSFs) to investigate the effects of linear features and habitat on movements and space use of a large soaring bird, the golden eagle <em>Aquila chrysaetos</em>, during migration. Our sample consisted of 32 adult eagles tracked for 45 spring and 39 fall migrations from 2014 to 2017.</li> <li>Fitted el‐SSFs indicated eagles had a strong general preference for south‐facing slopes, where thermal uplift develops predictably, and that these areas are likely important aspects of migratory pathways. el‐SSFs also provided evidence that roads and railroads affected movement during both spring and fall migrations, but eagles selected areas near roads to a greater degree in spring compared to fall and at higher latitudes compared to lower latitudes. During spring, time spent near linear features often occurred during slower‐paced or stopover movements, perhaps in part to access carrion produced by vehicle collisions.</li> <li>Regardless of the behavioural mechanism of selection, use of these features could expose eagles and other soaring species to elevated risk via collision with vehicles and/or transmission lines. Linear features have previously been documented to affect the ecology of terrestrial species (e.g. large mammals) by modifying individuals' movement patterns; our work shows that these effects on movement extend to avian taxa.</li> </ol>
Data from: Elk migration influences the risk of disease spillover in the Greater Yellowstone Ecosystem
<ol> <li>Wildlife migrations provide important ecosystem services, but they are declining. Within the Greater Yellowstone Ecosystem (GYE) some elk (<i>Cervus canadensis</i>) herds are losing migratory tendencies, which may increase spatiotemporal overlap between elk and livestock (domestic bison [<i>Bison bison</i>] and cattle [<i>Bos taurus</i>]), potentially exacerbating pathogen transmission risk.</li> <li>We combined disease, movement, demographic, and environmental data from eight elk herds in the GYE to examine the differential risk of brucellosis transmission (through aborted fetuses) from migrant and resident elk to livestock.</li> <li>For both migrants and residents, we found that transmission risk from elk to livestock occurred almost exclusively on private ranchlands as opposed to state or federal grazing allotments. Weather variability affected the estimated distribution of spillover risk from migrant elk to livestock, with a 7-12% increase in migrant abortions on private ranchlands during years with heavier snowfall. In contrast, weather variability did not affect spillover risk from resident elk.</li> <li>Migrant elk were responsible for the majority (68%) of disease spillover risk to livestock because they occurred in greater numbers than resident elk. On a per-capita basis, however, our analyses suggested that resident elk disproportionately contributed to spillover risk. In five of seven herds, we estimated that the per-capita spillover risk was greater from residents than from migrants. Averaged across herds, an individual resident elk was 23% more likely than an individual migrant elk to abort on private ranchlands.</li> <li>Our results demonstrate links between migration behavior, spillover risk, and environmental variability, and highlight the utility of integrating models of pathogen transmission and host movement to generate new insights about the role of migration in disease spillover risk. Further, they add to the accumulating body of evidence across taxa that suggests that migrants and residents should be considered separately during investigations of wildlife disease ecology. Finally, our findings have applied implications for elk and brucellosis in the GYE, and suggest that managers should prioritize actions that maintain spatial separation of elk and livestock on private ranchlands during years when snowpack persists into the risk period.</li> </ol>
Data for: Immigration counter-acts local micro-evolution of a major fitness component: migration-selection balance in free-living song sparrows
<p>Ongoing adaptive evolution, and resulting 'evolutionary rescue' of declining populations, requires additive genetic variation in fitness. Such variation can be increased by gene flow resulting from immigration, potentially facilitating evolution. But, gene flow could in fact constrain rather than facilitate local adaptive evolution if immigrants have low additive genetic values for local fitness. Local migration-selection balance and micro-evolutionary stasis could then result. However, key quantitative genetic effects of natural immigration, comprising the degrees to which gene flow increases the total local additive genetic variance yet counter-acts local adaptive evolutionary change, have not been explicitly quantified in wild populations. Key implications of gene flow for population and evolutionary dynamics consequently remain unclear. Our quantitative genetic analyses of long-term data from free-living song sparrows (<i>Melospiza melodia</i>) show that mean breeding value for local juvenile survival to adulthood, a major component of fitness, increased across cohorts more than expected solely due to drift. Such micro-evolutionary change should be expected given non-zero additive genetic variance and consistent directional selection. However, this evolutionary increase was counter-acted by negative additive genetic effects of recent immigrants, which increased total additive genetic variance but prevented a net directional evolutionary increase in total additive genetic value. These analyses imply an approximate quantitative genetic migration-selection balance in a major fitness component, and hence demonstrate a key mechanism by which substantial additive genetic variation can be maintained yet decoupled from local adaptive evolutionary change.</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.