Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
984
datasets available to search
ShareScore release 0.9.0
Dataset results
984 results for “migratory”
Migration-tracking integrated phylogeography supports long-distance dispersal-driven divergence for a migratory bird species in the Japanese archipelago
<p>Previous phylogeographic studies of migratory bird species have not discriminated long-distance dispersal (LDD) from vicariant speciation in their diversification process. We conducted an integrative phylogeographic approach to test the LDD hypothesis, which predicts that a Japanese migratory bird subspecies diverged from a population in the coastal region of the East China Sea (CRECS) via LDD over the East China Sea (ECS). We used the Brown Shrike as a model species, and we conducted molecular phylogenetics, species distribution models (SDMs) and migration tracking. We assessed whether the LDD hypothesis is applicable to the divergence history of the Japanese subspecies of the Brown Shrike.</p> <p>The datasets include three zipped files, namely DataS1.zip, DataS2.zip, and DataS3.zip. See the READ ME (AOKI_et_al_2021_DATASET_README.txt) for how each of the folder and files contained in them can be used to reproduce our results.</p> <p>DataS1.zip inlcudes an xml file to conduct the BEAST analysis. Molecular data, which include nucleotide sequences obtained for cytochrome b (cytb), cytochrome oxidase c subunit I (COI), myoglobin intron-2 (MB) and transforming growth factor beta 2 intron-5 (TGFb2), have been all reposited to DDBJ international nucleotide sequence database, and accession numbers have been already given to them. Accession numbers are provided in the appendix attached to the main manuscript.</p> <p>DataS2.zip includes several data that are related to produce occurrence data of the Brown Shrike used in the analysis and an R code to reproduce the SDMs. Explanatory climatic variables are all available at WorldClim v.1.4 (Hijmans et al., 2005), which are processed in the R code.</p> <p>DataS3.zip includes migratory route analyses using light-level geolocator data are available as the original light-level data and R codes. Sensitivity analyses were also conducted in these analyses, but their codes and results are seperately provided here.</p>
Autumn fueling behavior in passerines in relation to migratory distance and day length
<p>Songbirds have evolved diverse strategies to cope with seasonality, including long-, medium-, and short-distance migration. There is some evidence that birds with a longer migration distance deposit fuel faster. However, most studies focus on long-distance migrants. Comparisons between species with different migration distances are necessary to broaden our understanding of fueling capacity in migratory birds. We present maximum fuel deposition rates of five songbird species migrating along the southeast coast of Sweden in autumn with migration distances ranging from long (neotropical migrant) to short (partial/irruptive migrant) (Willow Warbler <em>P</em>. <em>trochilus</em>, Lesser Whitethroat <em>Curruca</em> <em>curruca</em>, Common Chiffchaff <em>Phylloscopus</em> <em>collybita</em>, European Robin <em>Erithacus</em> <em>rubecula</em>, and Blue Tit <em>Cyanistes</em> <em>caeruleus</em>). The birds were fed ad libitum in captivity and were exposed to either extended or natural daylength. All species ceased to increase in mass when they reached a certain fuel load, generally corresponding to migration distance, despite unlimited access to food and ample time for foraging. Blue Tits, Willow Warblers, and Lesser Whitethroats had the highest fuel deposition rates with extended daylength (19%, 20%, and 20%, respectively), and about 13% with natural daylength, which is comparable to the highest rates found in migratory songbirds in nature. European Robins and Common Chiffchaffs that winter in the temperate Mediterranean had the lowest fuel deposition rates (12% and 12% with extended daylength, respectively). Our results suggest that the long- and short-distance migrants in this study have developed an extreme capacity for rapid refueling for different reasons; speedy migration to distant wintering grounds or winter survival in Scandinavia. This study contributes to our current knowledge of maximum fuel deposition rates in different species and the limitations posed by daylength. We highlight the need for future studies of species with different migration strategies in order to draw broad conclusions about fueling strategies of migratory birds.</p>
Does weather drive habitat use and movement of a non-migratory bird?
<p>Climate change is predicted to increase the intensity and frequency of weather extremes (e.g., extreme heat and drought), which will likely affect wildlife species in significant ways. Maintaining landscape heterogeneity has been suggested as a potential conservation strategy to buffer animals from weather extremes. Because animal movement influences survival and population connectivity, understanding animal space use and movement in response to shifts in weather is useful for the conservation of wildlife. Non-migratory species are predicted to be more negatively affected by climate change because they have a limited ability to disperse to find resources. We studied the Northern Bobwhite (<em>Colinus</em> <em>virginianus</em>; hereafter, bobwhite) to understand how weather alters habitat use and movement of a non-migratory animal across a landscape. We collected telemetry locations on bobwhite across western Oklahoma during 2019–2020 and paired these data with meteorological and vegetation data. We analyzed the data at 2 temporal scales – hourly locations and 12-hour paths. At the hourly scale, we analyzed tree cover use, shrub cover use, and normalized difference vegetation index (NDVI) use using generalized or linear-mixed models. At the 12-hour scale, we calculated three different movement metrics: cumulative distance, net displacement, and sinuosity, and analyzed each movement metric separately using generalized linear-mixed models. We found that bobwhite used denser tree cover and higher NDVI values as air temperature increased in conjunction with solar radiation. Bobwhite used denser shrub cover as air temperature increased and average wind speed was high as well as when air temperature and average wind speed were low. The interaction between variability in vegetation and climate influenced bobwhite movement. Bobwhite in areas with higher NDVI variance moved farther when mean air temperatures were > 0°C than bobwhite in areas with low NDVI variance. When mean air temperatures were ≤ 0°C, NDVI variance had little effect on the cumulative distance moved of bobwhite. Our findings show that some animals use different vegetation types during different weather conditions and that variability in vegetation on the landscape and weather together alters animal movement. Managing for landscape heterogeneity is a solution that may buffer animals from increased climate variability in the future.</p>
Candidate gene polymorphisms are linked to dispersive and migratory behaviour: searching for a mechanism behind the "paradox of the great speciators"
<p>The "paradox of the great speciators" has puzzled evolutionary biologists for over half a century. A great speciator requires excellent dispersal <span>propensity</span> to explain <span>its</span> occurrence on multiple islands, but reduced dispersal ability to explain <span>its</span> high number of subspecies. A rapid reduction in dispersal ability is often invoked to solve this apparent paradox, but a proximate mechanism has not been identified yet. Here, we explored the role of six genes linked to migration and animal personality differences (<em>CREB1, CLOCK, ADCYAP1, NPAS2, DRD4, </em>and<em> SERT</em>) in 20 South Pacific populations of silvereye (<em>Zosterops</em> <em>lateralis</em>) that range from highly sedentary to partially migratory, to determine if genetic variation is associated with dispersal propensity and migration. We detected genetic associations in three of the six genes: i) in a partial migrant population, migrant individuals had longer microsatellite alleles at the <em>CLOCK</em> gene compared to resident individuals from the same population; ii) <em>CREB1</em> displayed longer average microsatellite allele lengths in recently colonised island populations (< 200 years), compared to evolutionarily older populations. Bayesian broken stick regression models supported a reduction in <em>CREB1</em> length with time since colonisation; and iii) like <em>CREB1</em>, <em>DRD4</em> showed differences in polymorphisms between recent and old colonisations but a <span>larger</span> sample is needed to confirm. <em>ADCYAP1</em>, <em>SERT</em>, and <em>NPAS2</em> were variable but that variation was not associated with dispersal propensity. The association of genetic variants at three genes with migration <span>and</span> dispersal ability in silvereyes provides the impetus for further exploration of genetic mechanisms underlying dispersal shifts and the prospect of resolving a long-running evolutionary paradox through a genetic lens.</p>
Data from: Intra-specific variation in responses to habitat restoration: Could artificial reefs increase spatiotemporal segregation between migratory phenotypes of lake sturgeon?
<p>Habitat restoration is an important tool used to conserve biodiversity and restore species, but its effects are notoriously difficult to predict. Although outcomes of restoration projects are usually assessed using indices of species abundance and diversity, phenotypic differences among individuals within species are likely associated with differing responses to restored habitats. Here, we use lake sturgeon (<span>Acipenser fulvescens</span>) as a case study to illustrate how responses to habitat restoration can differ between phenotypes and potentially lead to unanticipated effects on populations. North America<span>'</span>s St. Clair River supports one of the largest remaining populations of lake sturgeon but has lost much spawning habitat due to its role as a major industrial corridor between the Laurentian Great Lakes Erie and Huron. Two artificial reefs were recently built in the lower and middle segments of the river to increase the available sturgeon spawning habitat. Interestingly, lake sturgeon in the St. Clair River express different migratory phenotypes that may be associated with different likelihoods of colonizing artificial reefs. Acoustic telemetry revealed that artificial reefs were more likely to be used by sturgeon that migrated downstream to overwinter in Lake St. Clair than those that migrated upstream to overwinter in Lake Huron. Furthermore, increasing time spent at the artificial reefs by Lake St. Clair migrants was associated with later arrival to and shorter occupancy of the river<span>'</span>s only natural spawning site, the primary location where the two phenotypes have opportunity to interbreed. Additional research is necessary to determine the ultimate impacts of the artificial reefs on lake sturgeon populations; nevertheless, our study showed phenotype-specific opportunity to colonize restored habitat and a mechanism through which this could lead to changes in gene flow. Our results illustrate the importance of considering intra-specific diversity when planning restoration projects and assessing the effects on populations.</p>
Data for: Link between glucose metabolism and EMT drives triple negative breast cancer migratory heterogeneity
<p>Intracellular and environmental cues result in heterogeneous cancer cell populations with different metabolic and migratory behaviors. While glucose metabolism and EMT have previously been linked, we aim to understand how this relationship fuels cancer cell migration. We show that while glycolysis drives single-cell migration in confining microtracks, fast and slow cells display different migratory sensitivities to glycolysis and oxidative phosphorylation inhibition. Phenotypic sorting of highly and weakly migratory subpopulations (MDA<sup>+</sup>, MDA<sup>-</sup>) reveals that more mesenchymal, highly migratory MDA<sup>+</sup> preferentially use glycolysis while more epithelial, weakly migratory MDA<sup>-</sup> utilize mitochondrial respiration. These phenotypes are plastic and MDA<sup>+</sup> can be made less glycolytic, mesenchymal, and migratory and MDA<sup>-</sup> can be made more glycolytic, mesenchymal, and migratory via modulation of glucose metabolism or EMT. These findings reveal an intrinsic link between EMT and glucose metabolism that controls migration. Identifying mechanisms fueling phenotypic heterogeneity is essential to develop targeted metastatic therapeutics.</p>
Data from: Spatiotemporal segregation by migratory phenotype indicates potential for assortative mating in lake sturgeon
<p>Migratory diversity can promote population differentiation if sympatric phenotypes become temporally, spatially, or behaviorally segregated during breeding. In this study, the potential for spatiotemporal segregation was tested among three migratory phenotypes of lake sturgeon (<em>Acipenser fulvescens</em>) that spawn in the St. Clair River of North America's Laurentian Great Lakes but differ in how often they migrate into the river and in which direction they move after spawning. Acoustic telemetry over nine years monitored use of two major spawning sites by lake sturgeon that moved north to overwinter in Lake Huron or south to overwinter in Lake St. Clair. Lake St. Clair migrants were further distinguished by whether they migrated into the St. Clair River each year (annual migrants) or intermittently (intermittent migrants). Social network analyses indicated lake sturgeon generally co-occurred with individuals of the same migratory phenotype more often than with different migratory phenotypes. A direct test for differences in space use revealed one site was almost exclusively visited by Lake St. Clair migrants whereas the other site was visited by Lake Huron migrants, intermittent Lake St. Clair migrants, and, to a lesser extent, annual Lake St. Clair migrants. Analysis of arrival and departure dates indicated an opportunity for co-occurrence at the site visited by all phenotypes but showed Lake Huron migrants arrived approximately two weeks before Lake St. Clair migrants. Taken together, our results indicated partial spatiotemporal segregation of migratory phenotypes that may generate assortative mating and promote population differentiation.</p>
Data for: Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats
<p>The expansion of industrial-scale wind-energy facilities has increased the production of low-carbon emission energy but has also resulted in mortality of wildlife, including migratory bats. Management decisions can be limited by a lack of understanding of the geographic impact of bats killed at wind-energy facilities. Several studies have leveraged stable hydrogen isotope ratios (δ<sup>2</sup>H) of bat fur to illuminate this issue but are limited in the precision of conclusion because δ<sup>2</sup>H values vary primarily across latitudinal and elevational bands. One approach to increase the precision of geographic assignment is to combine independent inferences about spatial location from additional biomarkers and other related information. To test this possibility, we assigned known-origin individuals of three bat species commonly killed at on-shore wind-energy facilities in North America (<em>Lasiurus</em> <em>borealis</em>, <em>L</em>. <em>cinereus</em>, and <em>Lasionycteris</em> <em>noctivagans</em>) to probable origin using δ<sup>2</sup>H values, trace element concentrations, and species distribution models. We used cross-validation calibrated combined model tuning to determine the degree to which assignment probabilities improved when combining datasets. We found that combining markers typically performed better than single approaches. For <em>L. borealis</em> and <em>L. cinereus</em>, combining all three data sources outperformed any single or other combined approach. With an accuracy set at 80%, an average of 39.7% and 36.0% of each species' total geographic range was considered a potential origin, respectively; stable hydrogen alone included 51.8% and 50.6% of the total geographic area. In contrast, for <em>L. noctivagans</em>, including trace elements did not increase precision, and adding distribution data to δ<sup>2</sup>H values only improved precision by 0.6%. Thus, we found that a combination of multiple biomarkers typically, but not always, outperforms single marker approaches, and optimized combinations of different markers outperform equal weighting of each marker. From a practical perspective, δ<sup>2</sup>H values performed better than trace elements alone; in cases where cost is a limiting factor, the stable hydrogen should be the single biomarker used in conjunction with species distribution models. Overall, these results highlight the importance of validating methods for each species they are applied to and show that combining information from intrinsic biomarker approaches is a useful tool to document bat movements.</p>
Use of amino acid isotope analysis to investigate capital versus income breeding strategies in migratory avian species
<p>Income and capital breeding represent opposing ends of a continuum of reproductive strategies. Quantifying nutrient allocation to reproduction is challenging, but recent advances in compound-specific stable isotope analysis hold promise for tracing the source of individual compounds allocated to reproduction. </p> <p>Here, we describe a novel approach of using measured carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) isotope values of individual amino acids (AAs) in pectoral muscle of egg-laying females and egg yolk as a useful tool to quantify the reliance on income versus capital breeding in migrating species. We used white-fronted (<em>Anser albifrons frontalis</em>), lesser snow (<em>A. caerulescens caerulescens</em>), and black brant (<em>Branta bernicla nigricans</em>) geese breeding in tundra ecosystems of northern Alaska as model organisms.</p> <p>All three species relied on mixed capital-income breeding strategies, but models based on AA isotope data estimated higher proportional contributions of endogenous resources to yolk synthesis compared to results based on bulk tissue isotope analyses. </p> <p>Tracing income versus capital nutrient allocation in migratory species at the compound level is a major advance from the current 'elemental' perspective obtained from bulk tissue stable isotope analyses. Our framework is applicable to all taxonomic groups, as long as there is a sufficient spatial or temporal isotopic gradient between resources obtained during the breeding and non-breeding periods.</p>
Competition is a major limiting factor of refueling in migratory passerines during stopover
<p>For an avian migrant, refueling capacity attainable during stopovers governs the entire migration schedule and, ultimately, its fitness. Specifically, timely replenishing energy stores is critical when migration involves crossing ecological barriers, within which refueling may be limited. Here, we tested the hypothesis that fuel deposition rates (FDRs) of migratory passerines within barrier-edge stopover sites are constrained by the density of potential competitors, irrespective of migration season, phenology, and local environmental conditions. We also evaluated diverse intra- and inter-specific competition scenarios and explored a potential mediation of density-dependence by environmental factors. The analyzed data, collected by us over 13 consecutive years (2009–2022), contains information on seven species of long-distance migratory insectivorous passerines measured within eight desert-edge habitats throughout autumn and spring migrations. As predicted, our analyses revealed negative density-dependence regulation of FDRs, consistent across species and migration seasons. Notably, bird density exerted its effect above and beyond the other factors known to influence FDR, such as relative ambient temperature, phenology, temporal progress of stopover, and body mass next to landfall. As expected, FDR increased at higher relative ambient temperatures and with the stopover's progress. In spring, FDR also rose as the season advanced. These findings signify the substantial impact of competition on the refueling performance of migratory passerines during their stopover on an ecological barrier's edge, acting over and above the other environmental factors. The detected importance of competition and its interrelation with other predictors provides an insight into stopover's functioning; environmentally imposed and inescapable interspecific interference is thus a significant limiting factor of FDR, a deleterious relationship potentially remediable by informed habitat restoration and planning.</p>
Data and Code for: MFishBT: A global database of biogeochemical tags in migratory fish
<p>All data and code related to the paper: "MFishBT: A global database of biogeochemical tags in migratory fish" by Ding et al.</p> <p>The DataS1.zip includes the following files:</p> <p><strong>Checklist</strong></p> <p>Appendix_Table_S1_v1.csv</p> <p><strong>Final_Data</strong></p> <p>(1) MFishBT_tags_v1.csv</p> <p>(2) MFishBT_geographical_records_v1.csv</p> <p>(3) MFishBT_biological_archives_core_v1.csv</p> <p>(4) MFishBT_biological_archives_edge_v1.csv</p> <p>(5) MFishBT_biological_archives_core_edge_transects_v1</p> <p><strong>MFishBT_shiny</strong></p> <p>R shiny app code</p> <p><strong>MFishBTdat</strong></p> <p>R MFishBTdat package</p> <p><strong>Microsoft_Excel _VB_screening_button</strong></p> <p>Example.xlsm</p> <p><strong>Remove_outliers_demo</strong></p> <p>R code about remove outliers (remove_outliers.R)</p> <p> </p>
Seasonal suitability maps of migratory butterflies
<p>We created seasonal habitat suitability maps for migratory butterflies. The manuscript is now in review in PNAS. Once the manuscript is published, I will update all the publication-related information.</p>
Role of Macrophage Migratory Inhibitory Factor in Systemic Sclerosis
ClinicalTrials.gov study NCT03268330. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
Stem Cell Migratory Activity: Prognostic Marker in Myocardial Ischemia
ClinicalTrials.gov study NCT01271309. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Uropygial gland volume and malaria infection are related to survival in migratory house martins
Open the record for dataset details and reuse information.
Data from: Breeding phenological response to spring weather conditions in common Finnish birds: resident species respond stronger than migratory species
Open the record for dataset details and reuse information.
A comparison of neutral genetic differentiation and genetic diversity among migratory and resident populations of Golden-crowned-Kinglets (Regulus satrapa)
Open the record for dataset details and reuse information.
Data from: Overwintering strategies of migratory birds: a novel approach for estimating seasonal movement patterns of residents and transients
Open the record for dataset details and reuse information.
Exploring intraspecific variation in migratory destinations to investigate the drivers of migration
Open the record for dataset details and reuse information.
Does weather drive habitat use and movement of a non-migratory bird?
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.