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646 results for “Migration data”
Data from: Restoring fire to grasslands is critical for migrating shorebird populations
Fire is a disturbance process that maintains the structure and function of grassland ecosystems while sustaining grassland biodiversity. Conversion of grasslands to other land uses coupled with altered disturbance regimes have greatly diminished the habitat available to many grassland dependent species. These changes have been linked to declines in breeding bird populations, but may also be critical for migrating bird populations such as those shorebird species that depend on mesic grasslands during migration. We examined migratory shorebird use of burned grasslands in the southern Great Plains of North America using DISTANCE sampling to estimate and compare bird densities across recently burned and not recently burned landscapes (1-5 years post fire). We conducted two surveys per week for 8-10 weeks along a 54 km route starting at the end of March and concluding in mid-May during 2014-2015. We encountered 2,509 total shorebirds in recently burned areas compared to 130 individuals in areas that were unburned. Fire was a major attractant for our three focal species with American golden-plover (Pluvialis dominica), upland sandpiper (Bartramia longicauda), and killdeer (Charadrius vociferus) densities of 20.48, 11.09, and 26.09 birds per km2 in burned areas compared with 0.00, 1.27, and 0.92 birds per km2 in unburned areas, respectively. This research illustrates the importance of burned grassland for migrating shorebirds, a phenomenon that has largely gone unreported previously. Generally, these findings add to a body of knowledge that demonstrates the value of managing grasslands with historic disturbances that vary over space and time. The application of these findings should improve decision-making for shorebird conservation and provides evidence that prescribed fire planning should include consideration for breeding, transient, and non-breeding populations that vary in their temporal use of the landscape.
Data from: In-vivo imaging of cell migration using contrast enhanced MRI and SVM based post-processing
The migration of cells within a living organism can be observed with magnetic resonance imaging (MRI) in combination with iron oxide nanoparticles as an intracellular contrast agent. This method, however, suffers from low sensitivity and specificty. Here, we developed a quantitative non-invasive in-vivo cell localization method using contrast enhanced multiparametric MRI and support vector machines (SVM) based post-processing. Imaging phantoms consisting of agarose with compartments containing different concentrations of cancer cells labeled with iron oxide nanoparticles were used to train and evaluate the SVM for cell localization. From the magnitude and phase data acquired with a series of -weighted gradient-echo scans at different echo-times, we extracted features that are characteristic for the presence of superparamagnetic nanoparticles, in particular hyper- and hypointensities, relaxation rates, short-range phase perturbations, and perturbation dynamics. High detection quality was achieved by SVM analysis of the multiparametric feature-space. The in-vivo applicability was validated in animal studies. The SVM detected the presence of iron oxide nanoparticles in the imaging phantoms with high specificity and sensitivity with a detection limit of 30 labeled cells per mm3, corresponding to 19 μM of iron oxide. As proof-of-concept, we applied the method to follow the migration of labeled cancer cells injected in rats. The combination of iron oxide labeled cells, multiparametric MRI and a SVM based post processing provides high spatial resolution, specificity, and sensitivity, and is therefore suitable for non-invasive in-vivo cell detection and cell migration studies over prolonged time periods.
Data from: Habitat type and dispersal mode underlie the capacity for plant migration across an intermittent seaway
Background and Aims - Investigating species distributions across geographic barriers is a commonly utilized method in biogeography to help understand the functional traits that allow plants to disperse successfully. Here the biogeographic pattern analysis approach is extended by using chloroplast DNA whole-genome 'mining' to examine the functional traits that have impacted the dispersal of widespread temperate forest species across an intermittent seaway, the 200 km wide Bass Strait of south-eastern Australia. Methods - Multiple, co-distributed species of both dry and wet forests were sampled from five regions on either side of the Strait to obtain insights into past dispersal of these biomes via seed. Using a next-generation sequencing-based pool-seq method, the sharing of single nucleotide polymorphisms (SNPs) was estimated between all five regions in the chloroplast genome. Key Results - A total of 3335 SNPs were detected in 20 species. SNP sharing patterns between regions provided evidence for significant seed-mediated gene flow across the study area, including across Bass Strait. A higher proportion of shared SNPs in dry forest species, especially those dispersed by birds, compared with wet forest species suggests that dry forest species have undergone greater seed-mediated gene flow across the study region during past climatic oscillations and sea level changes associated with the interglacial/glacial cycles. Conclusions - This finding is consistent with a greater propensity for long-distance dispersal for species of open habitats and proxy evidence that expansive areas of dry vegetation occurred during times of exposure of Bass Strait during glacials. Overall, this study provides novel genetic evidence that habitat type and its interaction with dispersal traits are major influences on dispersal of plants.
Data from: The lunar cycle drives migration of a nocturnal bird
Every year billions of seasonal migrants connect continents by transporting nutrients, energy and pathogens between distant communities and ecosystems. For animals that power their movements by endogenous energy stores, the daily energy intake rates strongly influence the speed of migration. If access to food resources varies cyclically over the season, migrants sensitive to changes in daily energy intake rates may adjust timing of migration accordingly. As an effect, individuals adjusting to a common temporal cycle are expected to approach synchrony in foraging and movement. A large-scale periodic pattern, such as the dark-light cycle of the moon, could thus synchronize migrations across animal populations. However, such cyclic effects on the temporal regulation of migration has not been considered. Here we show the temporal influence of the lunar cycle on the movement activity and migration tactics in a visual hunting nocturnal insectivore and long-distance migrant, the European nightjar Caprimulgus europeaus. We found that the daily foraging activity more than doubled during moon-lit nights, likely driven by an increase in light-dependent fuelling opportunities. This resulted in a clear cyclicity also in the intensity of migratory movements with occasionally up to 100 % of the birds migrating simultaneously following periods of full moon. We conclude that cyclic influences on migrants can act as an important regulator of the progression of individuals, and synchronise pulses of migratory populations, with possible downstream effects on associated communities and ecosystems.
Data from: Stand Diversity does not Mitigate Increased Herbivory on Climate-Matched Oaks in an Assisted Migration Experiment
<p>Assisted migration is a tree planting method where tree species or populations are translocated with the aim of establishing more climate-resilient forests. However, this might potentially increase susceptibility of translocated trees to herbivory. Stand diversification through planting trees in species or genotypic mixtures may reduce the amount of damage by insect pests, but its effectiveness in mitigation of excess herbivory on climate-matched trees has seldom been explored.</p>
Supporting data_Strong-wind events control barchan dune migration
<p>Supporting data_Strong-wind events control barchan dune migration</p>
Data and scripts from: A new westward migration route in an Asian passerine bird
<p>Contains relevant datasets and code for niche modeling analyses performed in "A new westward migration route in an Asian passerine bird" by Dufour P<sup>*</sup>, de Franceschi<sup> </sup>C, Doniol-Valcroze P, Jiguet F, Maya Guéguen M, Renaud J, Lavergne<sup>† </sup>S, Crochet<sup>†</sup> PA (<sup>†</sup>co-senior authors) </p>
Data from: Restoring fire to grasslands is critical for migrating shorebird populations
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Data from: Evaluating methods for estimating local effective population size with and without migration
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Data from: Urban green roofs provide habitat for migrating and breeding birds and their arthropod prey
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Data from: The lunar cycle drives migration of a nocturnal bird
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Data from: Using ricelands to provide temporary shorebird habitat during migration
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Data from: Habitat type and dispersal mode underlie the capacity for plant migration across an intermittent seaway
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Data from: Incorporating the geometry of dispersal and migration to understand spatial patterns of species distributions
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Data from: A migration-associated supergene reveals loss of biocomplexity in Atlantic cod
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Data from: In-vivo imaging of cell migration using contrast enhanced MRI and SVM based post-processing
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Expression data among esophageal cancer cell sublines with different migration ability
GEO Series GSE67508. Homo sapiens. 8 samples. Type: Expression profiling by array.
Macro-ecological analysis of bird migration routes on the North American continent from eBird data
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Data Repository: Human iPSC-derived pericyte-like cells carrying LRRK2 mutation induce a reactive phenotype and alters migration (PD lines differentiated with TGFb3)
<p>Data Repository for publication: Human iPSC-derived pericyte-like cells carrying LRRK2 mutation induce a reactive phenotype and alters migration (PD lines differentiated with TGFb3)</p>
Data Repository: Human iPSC-derived pericyte-like cells carrying LRRK2 mutation induce a reactive phenotype and alters migration (Healthy lines differentiated with TGFb3)
<p>Data Repository for publication: Human iPSC-derived pericyte-like cells carrying LRRK2 mutation induce a reactive phenotype and alters migration (Healthy lines differentiated with TGFb3)</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.