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.
646
datasets available to search
ShareScore release 0.7.1
Dataset results
646 results for “Migration data”
Data from: Concealed by darkness: interactions between predatory bats and nocturnally migrating songbirds illuminated by DNA sequencing
Recently, several species of aerial-hawking bats have been found to prey on migrating songbirds, but details on this behaviour and its relevance for bird migration are still unclear. We sequenced avian DNA in feather-containing scats of the bird-feeding bat Nyctalus lasiopterus from Spain collected during bird migration seasons. We found very high prey diversity, with 31 bird species from eight families of Passeriformes, almost all of which were nocturnally flying sub-Saharan migrants. Moreover, species using tree hollows or nest boxes in the study area during migration periods were not present in the bats' diet, indicating that birds are solely captured on the wing during night-time passage. Additional to a generalist feeding strategy, we found that bats selected medium-sized bird species, thereby assumingly optimizing their energetic cost-benefit balance and injury risk. Surprisingly, bats preyed upon birds half their own body mass. This shows that the 5% prey to predator body mass ratio traditionally assumed for aerial hunting bats does not apply to this hunting strategy or even underestimates these animals' behavioural and mechanical abilities. Considering the bats' generalist feeding strategy and their large prey size range, we suggest that nocturnal bat predation may have influenced the evolution of bird migration strategies and behaviour.
Data from: Mechanical and structural adaptations to migration in the flight feathers of a Palaearctic passerine
<p>Current avian migration patterns in temperate regions have been developed during the glacial retreat and subsequent colonization of the ice-free areas during the Holocene. This process resulted in a geographic gradient of greater seasonality as latitude increased that favoured migration-related morphological and physiological (co)adaptations. Most evidence of avian morphological adaptations to migration comes from the analysis of variation in the length and shape of the wings, but the existence of intra-feather structural adjustments has been greatly overlooked despite their potential to be under natural selection. To shed some light on this question, we used data from European robins Erithacus rubecula overwintering in Campo de Gibraltar (Southern Iberia), where sedentary robins coexist during winter with conspecifics showing a broad range of breeding origins and, hence, migration distances. We explicitly explored how wing length and shape, as well as several functional (bending stiffness), developmental (feather growth rate) and structural (size and complexity of feather components) characteristics of flight feathers varied in relation to migration distance, which was estimated from the hydrogen stable isotope ratios of the summer-produced tail feathers. Our results revealed that migration distance not only favoured longer and more concave wings, but also promoted primaries with a thicker dorsoventral rachis and shorter barb lengths, which in turn conferred more bending stiffness to these feathers. We suggest that these intra-feather structural adjustments could be an additional, largely unnoticed, adaptation within the avian migratory syndrome that might have the potential to evolve relatively quickly to facilitate the occupation of seasonal environments.</p>
Data for: The pace of mitochondrial molecular evolution varies with seasonal migration distance
<p>This repository contains data associated with "The pace of mitochondrial molecular evolution varies with seasonal migration distance." This study demonstrates relationships between traits (migration distance, mass, population genetic parameters representing genetic diversity) and molecular evolutionary rates (dS and dN/dS). The main conclusions are based on models from the program Coevol. The files included here are input files necessary to run models with Coevol, as well as selected Coevol output files used for figure generation associated with the manuscript. We also include a copy of a GitHub repository of manuscript code. Other necessary data for replicating analyses in the manuscript are included in the manuscript supplement. </p>
Data from: Lunar synchrony, geography, and individual clocks shape autumn migration timing in an avian migrant
<p>Timing programs in animal migrants have been selected to synchronize movements that coincide with predictable resources on the breeding and nonbreeding grounds. Migrants face potential temporal conflicts if their migration schedules benefit from synchrony to conflicting rhythms associated with annual biogeographical (circannual) cues, lunar (circalunar) cues, or individually-repeatable internal clocks. We repeat-tracked individuals of an avian lunaphilic species, Eastern Whip-poor-will (<em>Antrostomus vociferus</em>), for 2–3 successive autumn migrations to determine the influence of the lunar cycle, breeding location, and individual repeatability on migration timing. Almost all birds avoided departing for migration during a full moon, likely to take advantage of the bright moonlight to facilitate visual foraging and enhance pre-migration fattening. However, groups from two latitudinally-distant sampling areas adjusted their autumn departure timing differently relative to the timing of the September full moon, presumably due to differences in seasonal prey availability. Individual repeatability increased throughout autumn migration, suggesting that the factors responsible for shaping migration timing may differ for different migration stages. Our results, that lunar synchrony, local climate, and individual internal clocks appeared to account for much of the variation in migration timing in whip-poor-wills, underscore the value of measuring potentially interacting factors that shape migratory behavior at species, group, and individual levels. It remains unclear if, or how, maintaining individually-repeatable annual migration schedules provides an adaptive benefit for whip-poor-wills or other lunaphilic migrants. Further clarifying the reasons for phenotypic variation in whip-poor-will migration timing will improve predictions of their abilities to adjust migratory movements under changing environmental conditions.</p>
Data from: Forecasting nocturnal bird migration for dynamic aeroconservation: the value of short-term dataset
<p>Placing wind turbines within large migration flyways, such as the North Sea basin, can contribute to the decline of vulnerable migratory bird populations by increasing mortality through collisions. Curtailment of wind turbines limited to short periods with intense migration can minimize these negative impacts, and near-term bird migration forecasts can inform such decisions. Although near-term forecasts are usually created with long-term datasets, the pace of environmental alteration due to wind energy calls for urgent development of conservation measures that rely on existing data, even when it does not have long temporal coverage. Here, we use five years of tracking bird radar data collected off the western Dutch coast, weather, and phenological variables to develop seasonal near-term forecasts of low-altitude nocturnal bird migration over the southern North Sea. Overall, the models explained 71% of the variance and correctly predicted migration intensity above or below a threshold for intense hourly migration in more than 80% of hours in both seasons. However, the percentage of correctly predicted intense migration hours (top 5% of hours with the most intense migration) was low, likely due to the short-term dataset and their rare occurrence. We, therefore, advise careful consideration of a curtailment threshold to achieve optimal results. Synthesis and applications: Near-term forecasts of migration fluxes evaluated against measurements can be used to define curtailment thresholds for offshore wind energy. We show that to minimize collision risk for 50% of migrants, if predicted correctly, curtailments should be applied during 18 hours in spring and 26 in autumn in the focal year of model assessments, resulting in an estimated annual wind energy loss of 0.12%. Drawing from the Dutch curtailment framework, which pioneered the 'international first' offshore curtailment, we argue that using forecasts developed from limited temporal datasets alongside expert insight and data-driven policies can expedite conservation efforts in a rapidly changing world. This approach is particularly valuable in light of increasing interannual variability in weather conditions.</p>
Data from: Carry-over effects of seasonal migration on reproductive success through breeding site retention in a partially migratory bird
<p>Understanding the maintenance and dynamics of phenotypic polymorphisms requires unpicking key ecological mechanisms shaping the fitness costs and benefits of expressing alternative phenotypes, generating selection. Seasonal migration versus year-round residence expressed in partially migratory populations represents one common polymorphism that can experience strong selection through differential reproductive success. Yet, key hypothesised pathways that could generate such selection remain to be empirically tested.</p> <p>One hypothesis is that migratory tactics affect subsequent reproductive success through carry-over effects on breeding site retention and resulting breeding dispersal. By remaining in breeding areas all year round, residents could retain their preferred breeding site between years, and consequently have higher reproductive success. Conversely, migrants that escape harsh non-breeding season conditions could return in better condition, with high resource holding potential, and outcompete residents to retain their site. Such effects could further depend on migration timing and vary between years. Yet, such pathways have not been quantified, precluding empirical parameterisation of partial migration theory. </p> <p>We used four years of breeding and non-breeding season data from partially migratory European shags (<em>Gulosus aristotelis</em>) to test whether the three most frequent migratory tactics in this population (full resident, early migrant departing soon after breeding, and late migrant departing in late autumn) differed in their breeding site retention; whether site retention predicted reproductive success; and hence whether effects of migratory tactic on reproductive success were explicable through site retention.</p> <p>Overall, residents were much more likely to retain their breeding site between years than both early and late migrants, and site retention was associated with increased reproductive success. Yet, these effects varied somewhat among years: late migrants were always least likely to retain their site but had variable relative reproductive success. Path analyses revealed that effects of migratory tactic on reproductive success were only partly attributable to breeding site retention.</p> <p>These results indicate that multiple mechanisms underlie reproductive selection on migratory tactics, potentially contributing to maintaining behavioural polymorphisms. Yet, the clear associations between migratory tactics and local breeding dispersal reveal that these movements can be strongly interlinked across seasons, shaping overall spatio-seasonal dynamics in partially migratory systems.</p>
Data for the "Tomographic Imaging of the Pampean Flat Slab: Evidence of Subduction Erosion and Volatile Migration"
<p>This repository includes:</p> <p>1. README - explanation of the information in each column for the datasets<br>2. regional.data.gz - automated catalogue of earthquake locations with P and S arrival times used in the tomography<br>3. surfacewave.data.gz – dispersion curves (ambient noise and "virtual") used in the tomography<br>4. station.list – locations of the seismic stations used in this study<br>5. finmod.ascii.gz - the preferred final model from the tomography (in ASCII format)</p>
Divergence time estimation using ddRAD data and an isolation-with-migration model applied to water vole populations of Arvicola
<p>Molecular dating methods of population splits are crucial in evolutionary biology, but they present important difficulties due to the complexity of the genealogical relationships of genes and past migrations between populations. Using the double digest restriction-site associated DNA (ddRAD) technique and an isolation-with-migration (IM) model, we studied the evolutionary history of water vole populations of the genus <em>Arvicola</em>, a group of complex evolution with fossorial and semi-aquatic ecotypes. To do this, we first estimated mutation rates of ddRAD loci using a phylogenetic approach. An IM model was then used to estimate split times and other relevant demographic parameters. A set of 300 ddRAD loci that included 85 calibrated loci resulted in good mixing and model convergence. The results showed that the two populations of <em>A. scherman</em> present in the Iberian Peninsula split 34 thousand years ago, during the last glaciation. In addition, the much greater divergence from its sister species, <em>A. amphibius</em>, may help to clarify the controversial taxonomy of the genus. We conclude that this approach, based on ddRAD data and an IM model, is highly useful for analyzing the origin of populations and species.</p>
Data from: Hierarchical variation in phenotypic flexibility across timescales and associated survival selection shape the dynamics of partial seasonal migration
<p>Population responses to environmental variation ultimately depend on within-individual and among-individual variation in labile phenotypic traits that affect fitness, and resulting episodes of selection. Yet, complex patterns of individual phenotypic variation arising within and between time periods, and associated variation in selection, have not been fully conceptualised or quantified. We highlight how structured patterns of phenotypic variation in dichotomous threshold traits can theoretically arise and experience varying forms of selection, shaping overall phenotypic dynamics. We then fit novel multistate models to ten years of band-resighting data from European shags to quantify phenotypic variation and selection in a key threshold trait underlying spatio-seasonal population dynamics: seasonal migration versus residence. First, we demonstrate substantial among-individual variation alongside substantial between-year individual repeatability in within-year phenotypic variation ('flexibility'), with weak sexual dimorphism. Second, we demonstrate that between-year individual variation in within-year phenotypes ('supraflexibility') is structured and directional, consistent with the threshold trait model. Third, we demonstrate strong survival selection on within-year phenotypes, and hence on flexibility, that varies across years and sexes, including episodes of disruptive selection representing costs of flexibility. By quantitatively combining these results, we show how supraflexibility and survival selection on migratory flexibility jointly shape population-wide phenotypic dynamics of seasonal movement.</p>
Data from: Interannual consistency of migration phenology is season- and breeding region-specific in North American Golden Eagles
<p class="MsoNormal">Avian migrants can adjust the time they depart for migration and arrive at their destination (i.e. phenology) based on environmental conditions, the period of the annual cycle, and the distance of migration. Our study shows that interannual consistency (an indicator of the strength of adjustments) in migration schedule of Golden Eagles (Aquila chrysaetos) in North America was greatest in boreal spring migration and the breeding regions of eastern Canada, suggesting that migration schedule is partly environmentally driven. Using multi-year GPS tracks of 83 adults breeding in three spatially distant regions (Alaska, northeast Canada, and southeast Canada), we quantified the interannual consistency of migration timing with variations within individuals tracked across multiple years and among-individuals and repeatability (r) of migration schedule, duration, and wintering latitude by breeding regions and seasons. By comparing regions and seasons, we found that consistency was highest (r > 0.85) for the schedule of the boreal spring migration in eastern Canada while Alaska had the lowest value (r < 0.15). Since seasonal consistency of migration schedule was only detected in eastern Canada, we conclude that seasonal features are not the main constraint on consistency of migration schedule. While regional differences in consistency were not related to differences in migratory distances, they could be the result of genetic or habitat differences. We also found that warmer temperatures than the decadal average at the region of departure delayed the start of boreal spring migration by ~10 days and advanced boreal autumn migration by ~20 days. It suggests that warmer temperatures would reduce residence time on breeding grounds, which is contrary to expectations and trends found in other studies. Wide variations in migratory strategies across a species distribution can add to the lists of challenges for conservation yet such variations can give migrants the capacity to acclimate to environmental changes.</p>
Data and code from: Fruit bat migration matches green wave in seasonal landscapes
<p><span>Migrating </span><span>grazers and carnivores</span><span> respond to seasonal changes in the environment and often match peaks in resource abundance. However, it is unclear if and how frugivorous animals use phenological events to time migration, especially in the tropics.<strong> </strong></span>The straw-colored fruit bat (<em>Eidolon helvum</em>), Africa's most gregarious fruit bat, forms large seasonal colonies throughout much of sub-Saharan Africa. We hypothesized that aggregations of <em>E. helvum</em> match the timing of their migration with phenologies of plant growth or precipitation.<strong> </strong>Using monthly colony counts from across much of the species' range, we matched peak colony size to landscape phenologies and explored the variation among colonies matching the overall closest phenological event.<strong> </strong>Peak colony size was closest to <span>the </span><span>peak</span><span> instantaneous</span><span> rate of green-up</span><span>,</span><span> and sites with closer temporal matching were associated with higher maximum greenness, short growing season, and larger peak colony size. <em>E</em></span><span><em>idolon</em></span><em><span> helvum</span></em><span> seem to time their migrations to move into highly seasonal landscapes to exploit short-lived explosions of food and may benefit from collective sensing to time migrations.<strong> </strong></span>The link between rapid changes in colony size and phenological match may also imply potential collective sensing of the environment. O<span>verall decreasing bat numbers along with various threats might cause this property of large colonies to be lost</span><span>.<strong> </strong></span>R<span>emote sensing data</span><span>, although, indirectly linked to fruiting events,</span><span> can potentially be used to globally describe and predict the migration of frugivorous species in a changing world</span><span>.</span></p>
Data and scripts for: Satellite-tracking reveals sex-specific migration distance in green turtles (Chelonia mydas)
<p>Data derivates and analysis scripts (in R) used for the paper "Satellite-tracking reveals sex-specific migration distance in green turtles (<em>Chelonia mydas</em>)", published in Biology Letters, on analyzing male and female green turtle movements in West Africa.</p>
Data for: Industrial energy development decouples ungulate migration from the green wave
<p>The ability to freely move across the landscape to track the emergence of nutritious spring green-up (termed "green-wave surfing"), is key to the foraging strategy of migratory ungulates. Across the vast landscapes traversed by many migratory herds, habitats are being altered by development with unknown consequences for surfing. Using a unique long-term tracking dataset, we found that when energy development occurs within mule deer (<em>Odocoileus hemionus</em>) migration corridors, migrating animals become decoupled from the green wave. During the early phases of a coalbed natural gas development, deer synchronized their movements with peak green-up. But faced with increasing disturbance as development expanded, deer altered their movements by holding up at the edge of the gas field and letting the green wave pass them by. Development often modified only a small portion of the migration corridor but had far-reaching effects on behavior before and after migrating deer encountered it, thus reducing surfing along the entire route by 38.65% over the 14-year study period. Our study suggests that industrial development within migratory corridors can change the behavior of migrating ungulates and diminish the benefits of migration. Such disruptions to migratory behavior present a common mechanism whereby corridors become unprofitable and could ultimately be lost on highly developed landscapes.</p>
Data from: seasonal patterns and processes of migration in a long-distance migratory bird: energy or time minimization?
<p>Optimal migration theory prescribes adaptive strategies of energy, time or mortality minimization. To test alternative hypotheses of energy and time minimization migration we used multisensory data loggers recording time-resolved flight activity and light for positioning by geolocation in a long-distance migratory shorebird, little ringed plover Charadrius dubius. We could reject the hypothesis of energy minimization based on a relationship between stopover duration and subsequent flight time as predicted for a time minimizer. We found seasonally diverging slopes between stopover and flight durations in relation to the progress (time) of migration, which follows for a time minimizing policy if resource gradients increase and decrease, respectively. Total flight duration did not differ significantly between autumn and spring migration, although spring migration was 6% shorter. Overall duration of autumn migration was longer than that in spring, mainly due to a mid-migration stop in most birds, when they likely initiated moult. Overall migration speed was not significantly different between autumn and spring. Migratory flights often occurred as runs of 2-7 nocturnal flights on adjacent days, which may be countering a time minimization strategy. Other factors may influence a preference for nocturnal migration, such as avoiding flight in turbulent conditions, heat stress, and diurnal predators.</p>
Data from: Dine and dash: How trophic ecology and migration shape functional locomotory traits in Clupeiform fishes
<p>Understanding how interactions between multiple selective forces influence traits at the macroevolutionary scale is key to understanding adaptive landscapes. Diadromy, an extreme form of migration between marine and freshwater environments, is thought to require locomotory traits conducive to long-distance migration. Yet, other selective forces, such as predator avoidance, habitat use, and prey acquisition, are also likely to shape locomotory adaptation in fishes. We examined how diadromy and trophic ecology together influenced locomotory trait diversity across <em>Clupeiformes</em>, a clade of fishes containing high trophic diversity and numerous transitions to diadromy. We found that both diadromy and trophic ecology influenced the pattern and pace of trait evolution. Diadromous taxa rapidly evolved traits characterized by high cruising efficiency, but the extent to which diadromous and non-diadromous taxa differed depended on their trophic ecology. Macropredators showed greater differences in locomotory traits between diadromous and non-diadromous taxa than phytodetritivores and micropredators, suggesting that traits conducive to migration might be most costly to consumers of evasive prey. This work shows that simultaneously characterizing the roles of multiple ecological or life-history factors in phenotypic evolution can bring the topography of adaptive landscapes into sharper focus and provide a more holistic view of the forces driving patterns of trait evolution.</p>
Data affiliated with "Solid bitumen as an indicator of petroleum migration, thermal maturity, and contact metamorphism: A case study in the Barrandian Basin (Silurian - Devonian), Czech Republic"
<p>Fourier transform infrared (FTIR) spectra affiliated with the publication "<span>Solid bitumen as an indicator of petroleum migration, thermal maturity, and contact metamorphism: A case study in the Barrandian Basin (Silurian - Devonian), Czech Republic" in International Journal of Coal Geology (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.coal.2024.104493" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.coal.2024.104493</span></a>).<br></span></p> <p><span>The FTIR data are saved as CSVs under the numbers and names corresponding to Table in Supplement 1. Columns A corresponds to wavenumbers in cm-1, columns B and C to absorbance measured in two measurements.</span></p>
Data from: Year-round carryover effects are driven by migration phenology for Hirundo rustica (Barn Swallow) wintering in West Africa
<p>Recently, population declines have been reported for many migratory birds. Because of complex life cycles, determining the causes for such declines is often difficult. Thus, migratory birds are of special conservation interest. We studied the migratory behavior of barn swallows Hirundo rustica tagged with solar geolocators and determined carryover effects during the entire annual cycle from one breeding season to the next. We used a Partial Least Square Path Model (PLS-PM) to disentangle migratory and breeding events that occur in chronological order. In addition, we controlled for broad environmental conditions in the wintering grounds (NDVI and latitude) and the specific moulting habitat (δ13C). We did not find a carryover effect from reproduction investment in the attachment year to breeding success in the subsequent year. Individuals which invested more in reproduction departed earlier from the breeding colonies, but this in turn did not affect the onset of autumn migration. Thus, the pre-migratory period should be acting as a buffer stage counteracting any previous carryover effects from reproduction investment. On the other hand, we found a long-lasting domino effect from the onset of autumn migration to subsequent breeding success, consistent with the notion of a migratory race. Specifically, individuals which started earlier the autumn migration, arrived earlier to the wintering grounds, started earlier the spring migration, arrived earlier to the breeding colonies and had a higher breeding success. We highlight that the pre-migratory period (i.e., the time elapsed between departure from breeding areas and the onset of autumn migration) should be important for the lifecycle of migratory species, but it has been frequently overlooked.</p>
Data from: Among-species variation in six decades of changing migration timings explained through ecology, life-history and abundance
<p>Species utilising seasonal environments must now alter timings of key life-history events in response to large-scale climatic changes, thereby maintaining trophic synchronies. Yet substantial among-species variation in cross-decadal phenological changes is observed. Transitioning from basic description of such variation towards prediction of future phenological responses now requires standardised studies that rigorously quantify and explain variation in the direction, magnitude and form of changing timings across diverse species in relation to key ecological and life-history variables. Accordingly, we fitted multi-quantile regressions to 59 years of high-quality multi-species data on spring and autumn bird migration timings through northern Scotland. We demonstrate substantial variation in cross-decadal changes in timings among 72 species, and quantify the degree to which variation can be explained through differences in species ecology, life-history and population trajectories. Consistent with predictions, species with seasonal diets, narrower breeding habitat breadths, shorter generation lengths and capability to produce multiple offspring broods per year advanced their migration timing in one or both seasons. In contrast, species with less seasonal diets, and that produce single annual offspring broods, showed no change. Meanwhile, contrary to prediction, long-distance migrants advanced their migration timings as much as short-distance migrants. Changes in migration timing also varied with changes in local migratory abundance, such that species with increasing seasonal abundance apparently altered their migration timing, whilst species with decreasing abundance did not. These patterns concur with expectation if changing migration timing is adaptive. However, we demonstrate that similar patterns can be generated through numerical sampling processes given changing abundances, implying that apparent phenology-abundance relationships should be carefully validated and interpreted. Overall, our results show that migrant bird species with differing ecologies and life-histories have shown systematically differing phenological changes over six decades contextualised by large-scale environmental changes, potentially facilitating future predictions and altering temporal dynamics of seasonal species co-occurrences.</p>
Data from: Translocation experiment of taiga bean geese Anser fabalis provides evidence for oblique social learning of moult migration
<p>While there is ample evidence supporting genetic control of migratory behaviour in short-lived passerines, long-lived social species have been assumed to rely solely on cultural inheritance of migratory routes. Evidence from experimental studies supporting this idea is scarce. We tested whether the moult migration in taiga bean geese <em>Anser fabalis </em>has an inherited component or whether the birds need oblique social learning (where knowledge on migration is transferred from any experienced individual to any naïve individual conspecific) to carry out this journey. In many waterfowl species, non-breeders and failed breeders migrate to remote places for wing moult while successful breeders stay at the breeding grounds and moult with their chicks. We translocated one-year-old taiga bean geese before their first moult migration to sites outside of the breeding range to examine whether they display innate moult migration behaviour without experienced conspecifics or not. The birds were equipped with GPS-transmitters and released in randomly assigned groups of two. Wild control one-year-old birds were released immediately after capture with other non-breeding geese, while a procedural control group consisting of older birds was held in captivity until released at the same time with the translocated one-year-old birds but in the place where they were captured. Most translocated birds found conspecifics and either joined locally moulting breeders or followed experienced birds to moulting sites in Russia. Two of the translocated birds did not find other bean geese and settled to moult together in SW Finland. The wild control birds moult-migrated as expected, while only one of the procedural control birds moult-migrated to Russia and the remaining three stayed with locally moulting breeders in Finland. Our results support the idea that moult migration in geese is culturally inherited, highlighting the importance of the non-relative, experienced adult individuals have in maintaining population-specific behaviours.</p>
Data from: The Amazon Basin's rivers and lakes support Nearctic-breeding shorebirds during southward migration
<p>Shorebird movement data used in habitat analyses for "The Amazon Basin's rivers and lakes support Nearctic-breeding shorebirds during southward migration." Data were collected between 2016-2022 using Argos Platform Terminal Transmitters or Pinpoint GPS Argos transmitters affixed to six shorebird species: American Golden-Plovers (<em>Pluvialis dominica</em>), Hudsonian Godwits (<em>Limosa haemastica</em>), Lesser Yellowlegs (<em>Tringa flavipes</em>), and Buff-breasted (<em>Calidris subruficollis</em>), Pectoral (<em>C. melanotos</em>), and Upland Sandpipers (<em>Bartramia longicauda</em>). The devices were deployed by various research groups at sites outside the Amazon Basin. Data has been subset to the Amazon Basin and the approximate timeframe of southward migration (July-December) and filtered to relevant individuals. </p> <p>The CSV file contains the following variables:</p> <ul> <li> <p>'individual local identifier': a unique alphanumeric identifier for the individual</p> </li> <li> <p>'timestamp': date-time of the location, in YYYY-mm-dd HH:mm:ss format</p> </li> <li> <p>'location.long': longitude</p> </li> <li> <p>'location.lat': latitude</p> </li> <li> <p>'species': shorebird species alpha code</p> </li> <li> <p>'lc': location quality class for Argos PTT (3, 2, 1, 0, A, B, Z) or GPS (G) locations</p> </li> <li> <p>'argos.semi.major': the length of the semi-major axis of the error ellipse for Argos locations, in meters</p> </li> <li> <p>'argos.semi.minor': the length of the semi-minor axis of the error ellipse for Argos locations, in meters</p> </li> <li> <p>'argos.error.radius': one standard deviation (sigma) of the isotropic location error for Argos locations</p> </li> <li> <p>'argos.orientation': the orientation of the semi-major axis of the error ellipse for Argos locations, in degrees clockwise from north</p> </li> <li> <p>'gps.fix.type.raw': the type of GPS fix (2D, 3D)</p> </li> </ul> <p>Links to full studies are provided in 'Related Works.' Please consult links for attribution and data use information.</p>
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.