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184 results for “Shorebirds”
Impact of human disturbance on the abundance of non-breeding shorebirds in a subtropical wetland
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Data from: Evaluating staging habitat quality to advance the conservation of a declining migratory shorebird, Red Knot Calidris canutus
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Data from: Snowmelt and laying date shape the parental care strategy of a high-Arctic shorebird
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Data from: Behavioral adjustments in the social associations of a precocial shorebird mediate the costs and benefits of grouping decisions
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Data from: Spatiotemporal variation in disturbance impacts derived from simultaneous tracking of aircraft and shorebirds
<p>1. Assessing impacts of disturbance over large areas and long time periods is crucial for nature management, but also challenging since impacts depend on both wildlife responses to disturbance and on the spatiotemporal distribution of disturbance sources. Combined tracking of animals and disturbance sources enables quantification of wildlife responses as a function of the distance to a disturbance source. We provide a framework to derive such distance-response curves and combine those with disturbance source presence data to quantify energetic costs of disturbance at a landscape scale. 2. We tracked 90 Eurasian Oystercatchers Haematopus ostralegus and all aircraft in a military training area in the Dutch Wadden Sea. We quantified distance-response curves estimating flight probability and additional displacement for five types of aircraft activities, by comparing bird movement prior to aircraft presence with movement during aircraft presence. We then used the distance-response curves to map mean and variation in additional daily energy expenditure due to cumulative aircraft disturbance across the landscape for a 700-day period. 3. Flight probability and displacement responses differed strongly among aircraft activities and decreased from transport airplanes, through bombing jets, helicopters, jets to small civil airplanes. Since the most disturbing aircraft activities were also the rarest ones, mean additional daily energy expenditure did not exceed 0.25%. However, days with substantial (>1%) additional expenditure occurred between 0.1% and 3.7% of all days across high tide roosts in the tidal basin. Notably, expenditure particularly spiked on days with transport airplane activity (up to 8.5%). 4. Synthesis and applications. Cumulative energetic flight costs due to aircraft disturbance are low and unlikely to impact survival of oystercatchers in our study area. Our results provide evidence that the legal minimum flight height of 450m for small civil airplanes effectively limits disturbance of oystercatchers. Mitigation should focus on limiting the number of days when disturbance has a high impact by reducing rare but highly disturbing activities, especially transport airplanes. Our approach can be applied to other species and disturbance sources that are automatically tracked, e.g. boats and walkers, ultimately to quantify the entire anthropogenic disturbance landscape.</p>
Data from: Low fitness at low latitudes: wintering in the tropics increases migratory delays and mortality rates in an arctic-breeding shorebird
<p>1. Evolutionary theories of seasonal migration generally assume that the costs of longer migrations are balanced by benefits at the non-breeding destinations. 2. We tested, and rejected, the null hypothesis of equal survival and timing of spring migration for High Arctic breeding sanderling Calidris alba using six and eight winter destinations between 55° N and 25° S, respectively. 3. Annual apparent survival was considerably lower for adult birds wintering in tropical West-Africa (Mauritania: 0.74 and Ghana: 0.75) than in three European sites (0.84, 0.84 and 0.87) and in subtropical Namibia (0.85). Moreover, compared with adults, second calendar-year sanderlings in the tropics, but not in Europe, often refrained from migrating north during the first possible breeding season. During northward migration, tropical-wintering sanderlings occurred at their final staging site in Iceland 5-15 days later than birds wintering further north or south. Namibia-wintering sanderlings tracked with solar geolocators only staged in West-Africa during southward migration. 4. The low annual survival, the later age of first northward migration and the later passage through Iceland during northward migration of tropical-wintering sanderlings, in addition to the skipping of this area during northward but not southward migration by Namibia-wintering sanderlings, all suggest they face issues during the late non-breeding season in West-Africa. 5. Migrating sanderlings defy long distances but may end up in winter areas with poor fitness prospects. We suggest that ecological conditions in tropical West-Africa make the fuelling prior to northward departure problematic. </p>
Phenotypic divergence in two sibling species of shorebird: Common Snipe and Wilson's Snipe (Charadriiformes: Scolopacidae)
<p><span><span><span><span><span><span><span><span><span><span><span>Natural selection and social selection are among the main shapers of biological diversity, but their relative importance in divergence remains understudied. Additionally, although neutral evolutionary processes may promote phenotypic divergence, their potential contribution in speciation is often overlooked in studies of comparative morphology. In this study, we investigated phenotypic differentiation in two allopatric shorebirds: the Palearctic Common Snipe <i>Gallinago gallinago</i> and the Nearctic Wilson's Snipe <i>G. delicata</i>. Specimens of Common Snipe (n = 355 skins, n = 163 skeletons) and Wilson's Snipe (n = 403 skins, n = 141 skeletons) in natural history collections, were examined to quantify differences in skeletal and external measurements, and measures on wing and tail plumage variables. The species did not differ in skeletal variables except for the relatively larger sternum of the Common Snipe. The two species do not differ in multivariate wing size or shape (pointedness). Previously known plumage differences between these species were confirmed: the Common Snipe has fewer rectrices, longer and wider outermost rectrices, more extensive white on tips of the secondary feathers, and more white in the axillaries. Between-species variance in skeleton, primary length, and plumage variables was greater than expected if drift was mainly responsible for phenotypic divergence, suggesting a role of selective processes. However, drift could not be rejected after adjusting for multiple comparisons. Differences in plumage traits were greater than in skeletal or external measurements. Because snipe use plumage traits in signalling, the results suggest a faster divergence between these species in socially selected traits than in those related to resource use.</span></span></span></span></span></span></span></span></span></span></span></p>
Shorebird feeding specialists differ in how environmental conditions alter their foraging time
<p>Feeding specialisation is a common cause of individual variation. Fitness payoffs of specialisation vary with environmental conditions, but the underlying behavioural mechanisms are poorly understood. Such mechanistic knowledge, however, is crucial to reliably predict responses of heterogeneous populations to environmental change. We quantified spatiotemporal allocation of foraging behaviour in wintering Eurasian oystercatchers (<i>Haematopus ostralegus</i>), a species in which feeding specialisation can be inferred from bill shape. We combined GPS and accelerometer data to quantify foraging time of 64 individuals for every tidal period in one or two winter seasons. Individuals varied widely in foraging time (3.7-6.5 hours per tidal period) and individuals that spend more time foraging had lower inferred survival. Feeding specialisation appeared a major determinant of individual variation in foraging time and its spatiotemporal allocation. Visually-hunting worm specialists foraged more during day-time and complemented intertidal foraging with grassland foraging when the exposure of intertidal flats was limited and nights were well-illuminated. Shellfish specialists increased total foraging time in cold weather, whereas foraging time of worm specialists decreased as frosty grasslands became inaccessible. Our results imply that worm specialists may be most sensitive to cold snaps and day-time disturbance, while shellfish specialists are most sensitive to high water levels. These behavioural responses can be implemented in population models to predict the vulnerability of heterogeneous populations to environmental change, and thereby provide a shortcut to long-term population studies that require fitness data across many years and conditions to make similar projections.</p>
Data from: Associations with landscape and local-scale wetland habitat conditions vary among migratory shorebird species during stopovers
<p>Wetlands provide many ecosystem services and functions, including critical stopover habitat for numberous migratory shorbirds species. We conducted shorebird surveys at >14,000 wetlands and associated observed abundance with wetland variables for 16 species. We found that the scale at which observed abundance was associated with wetland extent varied among speceis, and that for most species abundance was positively associated with higher wetland density, presence of shallow water, more usable area, and limited vegetation. There was considerable variation in the strength and sometimes direction of responses. Our study helps inform optimal habitat requirementes for shorebirds.</p>
Divergent selection in low recombination regions shapes the genomic islands in two incipient shorebird species
<p>Divergent selection in the face of gene <span>flow is usually associated with</span> a heterogeneous genomic landscape of divergence in nascent species pairs. However, multiple factors, such as divergent selection and local recombination rate variation, can influence the formation of these genomic island. This conundrum can be solved through examination of the genomic landscapes of species pairs that are still in the early stages of evolution. In this study, population genomics analyses were undertaken using a wide range of sampling and whole-genome resequencing data from 96 unrelated individuals of Kentish plover (<em>Charadrius alexandrinus</em>) and white-faced plover (<em>C. dealbatus</em>). We suggest that the two species exhibit varying levels of population admixture along the Chinese coast and on Taiwan Island<span>.</span> <span>Genome-wide analyses for introgression indicate that ancient introgression had occurred in Taiwan population, and recurrent gene flow is still ongoing in mainland coastal populations</span>. Furthermore, we identified a few genomic regions with significant levels of interspecific differentiation and local recombination suppression, which<span> contain several genes potentially associated with disease resistance, coloration, and regulation of plumage moulting, thus may be connected to the phenotypic and ecological divergence of</span> the two nascent species<span>. Overall, our findings suggest that divergent selection in low recombination regions may be the main force in shaping the genomic islands in two incipient shorebird species.</span></p>
Unconventional life-history in a migratory shorebird: desegregating reproduction and migration
<p>Please view README.md file in R before using dataset for the paper entitled: Unconventional life-history in a migratory shorebird: desgregeating reproduction and migration published in Proceedings B of the Royal Society (2024)</p>
Data and code for: Sea level rise causes shorebird population collapse before habitat drowns
<p>Sea level rise causes habitat loss and is considered to be a key threat to coastal species globally. Sea level rise also reduces habitat quality, potentially threatening populations already before habitat drowns and is lost. The extent and timing of changes in habitat quality for wildlife actively adapting to sea level rise, and how this affects population numbers under different emission scenarios, is unknown. Here, we combine long-term field data with models of sea level rise, marsh geomorphology, adaptive behaviour, and population dynamics to show that habitat quality is already declining on three islands due to increased flooding of shorebird nests. Also, population collapses are projected well before habitat drowns. Habitat loss, a widely used proxy, thus severely underestimates population impacts of sea level rise and coastal species will suffer much sooner than previously thought. Despite shorebirds adapting by moving to higher grounds, sea level rise will result in up to 79% fewer birds in a century, eventually leading to extinction in their prime habitat. Local gas mining exacerbates matters, as deep soil subsidence makes habitat even more vulnerable to sea level rise, effectively halving the window of opportunity for conservation action. Climate change ultimately jeopardizes the biodiversity value of this UNESCO World Heritage Area, and nature management needs to take this long-term perspective on board by in the short-term, boosting the accretion of tidal marshes or developing flood-safe alternative habitat elsewhere.</p>
Data from: Thermal adaptation best explains Bergmann's and Allen's rule across ecologically diverse shorebirds
<p>Bergmann's and Allen's rules state that endotherms should be larger and have shorter appendages in cooler climates. However, the drivers of these rules are not clear. Both rules could be explained by adaptation for improved thermoregulation, including plastic responses to temperature in early life. Non-thermal explanations are also plausible as climate impacts other factors that influence size and shape, including starvation risk, predation risk, and foraging ecology. We assess the potential drivers of Bergmann's and Allen's rules in 30 shorebird species using extensive field data (>200,000 observations). We show birds in hot, tropical northern Australia have longer bills and smaller bodies than conspecifics in temperate, southern Australia, conforming with both ecogeographical rules. This pattern is consistent across ecologically diverse species, including migratory birds that spend early life in the Arctic. Our findings best support the hypothesis that thermoregulatory adaptation to warm climates drives latitudinal patterns in shorebird size and shape. </p>
Counts of shorebirds and environmental correlates at Roberts Bank, British Columbia (1991 to 2019)
<p>Data include counts conducted during northward migration of two species of shorebirds (Western Sandpiper Calidris mauri and Dunlin Calidris alpina) on the mudflats of Roberts Bank, British Columbia, 1991 to 2019. Count methodology detailed in Drever et al. (2014) and Canham et al. (2021). Data also include a set of covariates related to local conditions (precipitation, temperature, wind speed and direction, solar radiation, tidal amplitude, and water discharge rates from the Fraser River).</p>
Data from: Frequency-dependent tolerance to aircraft disturbance drastically alters predicted impact on shorebirds
<p>This data package includes data and R script belonging to the publication "Frequency-dependent tolerance to aircraft disturbance drastically alters predicted impact on shorebirds" by van der Kolk et al. (2024) in Ecology Letters.</p> <p>The script analysis_figures_vanderKolketal2024.R can be used to reproduce all analysis and figures in the manuscript. The Figures are stored in the Output folder.</p> <p>The data folder includes an excel file with metadata explaining all columns in the csv files.</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>
Data and code from Rodkey et al. (2024): "Sod farms drive habitat selection of a migratory grassland shorebird during a critical stopover period"
<p>The data and code in this repository was used to fit the final models for the submitted manuscript "Sod farms drive habitat selection of a migratory grassland shorebird" by Rodkey and coauthors.</p> <p><strong>Abstract:</strong></p> <p>Migratory shorebirds are one of the fastest declining groups of North American avifauna. Yet, relatively little is known about how these species select habitat during migration. We explored the habitat selection of Buff-breasted Sandpipers (<em>Calidris subruficollis</em>) during spring and fall migration through the Texas Coastal Plain, a major stopover region for this species. Using tracking data from 118 birds compiled over 4 years, we found Buff-breasted Sandpipers selected intensively managed crops such as sod and short-stature crop fields, but generally avoided rangeland and areas near trees and shrubs. This work supports prior studies that also indicate the importance of short-stature vegetation for this species. Use of sod and corn varied by season, with birds preferring sod in spring, and avoiding corn when it is tall, but selecting for corn in fall after harvest. This dependence on cropland in the Texas Coastal Plain is contrary to habitat use observed in other parts of their non-breeding range, where rangelands are used extensively. The species' almost complete reliance on a highly specialized crop, sod, at this critical stopover site raises concerns about potential exposure to contaminants as well as questions about whether current management practices are providing suitable conditions for migratory grassland birds.</p> <p> </p> <p><strong>Data and code for model fitting </strong><em>bbsa_sodfarm_selection.zip</em><br>Following files are used to fit final models for the Texas study and the range-wide study.</p> <p><strong>script_tx </strong>is the script used to fit models on Texas dataset. <strong> </strong><em>script_tx.R</em></p> <p><strong>script_rw </strong> is the script used to fit models on range-wide dataset. <em>script_rw.R</em></p> <p><strong>data_tx </strong>is the datafile for containing model input data for the Texas models. data<em>_tx.csv</em></p> <p><strong>data_rw </strong>is the datafile containing model input data for the rangewide models. <em>data_rw.csv</em></p> <p>Columns in the datafiles for both Texas and rangewide models (data_tx and data_rw) are organized as follows:</p> <p>ID - unique identifier for tracked birds</p> <p>year - year in which bird was tracked</p> <p>season - season in which bird was tracked (spring or fall)</p> <p>fromTexas - (rangewide dataset only) whether or not the tracked bird was captured in the study region, the Texas Coastal Plain (T = bird was caught within study region; F = bird was caught outside of study region)</p> <p>night- (Texas dataset only) whether or not the location fell within daytime or nightime hours (y = nightime, n = daytime)</p> <p>droad - distance of location in meters from nearest road</p> <p>dwoody - distance of location in meters from nearest woody cover</p> <p>corn_prop250 - proportion of corn/sorghum landcover type within a 250m buffer around location</p> <p>cotton_prop500 - proportion of cotton/soybean landcover type within a 500m buffer around location</p> <p>herb_prop250 - proportion of herbaceous (i.e., grassy) landcover type within a 250m buffer around location</p> <p>rice_prop1000 - proportion of rice landcover type within a 1000m buffer around location</p> <p>sod_prop250 - proportion of sod landcover type within a 250m buffer around location</p> <p>presence - identifying used versus available locations (1 = used, as in, an actual GPS location of tracked bird; 0 = available, as in, a randomly generated location within the bird's area of use)</p> <p> </p> <p> </p> <p><strong>Tracking data </strong><em>bbsa_txStudy_movebank_20240731.csv</em></p> <p>Tracking data used for Texas study. Lotek PinPoint GPS data were imported and decoded via Movebank and relevant columns were selected. Columns are organized as follows:</p> <p> </p> <p>timestamp - time of GPS location in UTC (format = YYYY-MM-DD HH:MM:SS.SSS)</p> <p>location.long - longitude of GPS location in decimal degrees, projected in the WGS 84 datum</p> <p>location.lat - latitude of GPS location in decimal degrees, projected in the WGS 84 datum</p> <p>lotek.crc.status.text - value of Lotek's cyclical redundancy check (OK = good data, OK(corrected) = message was corrected with Lotek's error correction algorithm, Fail = data has been corrupted on transmission, and therefore cannot be trusted)</p> <p>sensor.type - type of sensor, all rows are "gps"</p> <p>tag.local.identifier - Argos ID of the attached Lotek PinPoint GPS transmitter</p> <p>individual.local.identifier - unique individual identifier, in this case the USGS-issued band number attached to each tracked bird</p> <p>individual.taxon.canonical.name - species taxonomical name, all rows are "Calidris subruficollis"</p> <p>sex - sex of tracked bird (M = male, F = female)</p> <p>age - age of tracke bird (AHY = after-hatch-year, HY = hatch-year)</p> <p> </p> <p> </p> <p><strong>Sod farm layer </strong><em>sodLayer_tgcp.tif</em><br>Raster layer representing sod farms in the Western Gulf Coastal Plain ecoregion of Texas. Resolution of 30m with values from 0 - 1, with 1 representing sod farms. Sod farms were identified via visual inspection, cross-referencing the U.S. Department of Agriculture's Cropland Data Layer with Google Earth high resolution imagery from 2022. This was a modification of preliminary data on sod farm distribution in the region compiled by B. Ortego, S. Gifford and J. Lyons.</p> <p> </p>
Data from: Heat stress increases risk taking in foraging shorebirds
<p>1. Animals often face a trade-off between food acquisition and predation/disturbance avoidance. Yet the extent to which this trade-off is affected by modulating factors such as thermal risk and foraging opportunities has been largely overlooked.</p> <p>2. Here, we examined the influence of temporal and environmental gradients on the flight initiation distance (FID, the distance at which animals flee from an approaching human-simulated predator) and escape mode (flying/low risk versus running/low cost) in 16 species of shorebirds foraging on tidal flats of the Bijagós Archipelago, Guinea-Bissau. We measured escape responses throughout the low tide period during wet and dry seasons and simultaneously recorded microclimate variables and occurrence of heat-reduction behaviour (ptiloerection). Furthermore, we measured corticosterone metabolites (CORTm) from droppings in red knots <em>Calidris canutus</em> to assess whether ptiloerection is associated to a physiological stress response to hot conditions.</p> <p>3. Overall, birds tolerated a closer approach at higher environmental temperatures and when showing ptiloerection. They also had shorter FIDs during the dry season and towards the start/end of the low tide period. FIDs also increased with body mass and decreased in areas with more human presence. In red knots, individuals showing ptiloerection had higher levels of CORTm, demonstrating a link between physiological and behavioural stress coping responses to heat events.</p> <p>4. Our results suggest that heat-stressed shorebirds take greater risks, supporting the idea of a thermoregulation–predation risk trade-off. They also indicate that shorebirds adjust risk taking to tidal and seasonal cycles, generally reducing FIDs when the energetic costs of escape are expected to be large. Finally, they suggest that shorebirds habituate to non-lethal human presence and respond to perceived predation risk in accordance with the predictions of optimal escape theory.</p> <p>5. These results are relevant to many animals that face a tight window for foraging activity while being exposed to predation/disturbance and heat during the day. We discuss management implications of our results in the context of global change.</p>
Data from: Climate change consequences for differential adult survival and the mating system of a temperate breeding shorebird
<p>Managing for the effects of climate change on species whose populations are currently imperiled requires detailed knowledge of the relationship between their demographic rates and climate variables. We sought this information for the West Coast breeding population of snowy plover (<em>Charadrius nivosus</em>), which was federally listed as threatened in 1993 due to substantial declines in the numbers of plovers breeding along the coast and in the number of sites occupied for breeding. Snowy plovers employ a serially polygamous breeding system in which the male typically tends chicks to independence. This unusual breeding system is favored by male-biased sex ratios in local populations. As part of a multi-species study of the effect of climate change on population growth, we used mark-capture models to examine climate drivers of adult survival for 1,219 snowy plovers banded at Monterey Bay over 38 years and known to overwinter on the surrounding north-central California outer coast. Non-climate variables, including sex and unmeasured annual mortality risks (e.g., predator abundance) were the primary factors affecting adult survival. However, there is evidence that cold weather, particularly extended cold snaps with daily low temperatures below 2˚C and daily high temperatures below 10˚C, decreases overwinter survival. Exceptionally cold winters had a particularly strong effect on adult female plovers, contributing to the male-biased adult sex ratios. Future winter climate on the north-central California coast is projected to be generally warmer with fewer and shorter cold snaps. Reduced mortality from cold winter weather may mitigate other threats faced by plovers, such as anthropogenically enhanced predator populations, habitat loss, and accelerated sea level rise, while altering the adult sex ratio and potentially shifting the evolutionary landscape maintaining the plover's unusual breeding system.</p>
Data for: Early Eocene fossils elucidate the evolutionary history of the Charadriiformes (shorebirds and allies)
<p><span>We report charadriiform and charadriiform-like birds from the early Eocene London Clay of Walton-on-the-Naze (Essex, UK). A partial skeleton of a small modern-type charadriiform is described as a new species, <em>Charadriisimilis</em> <em>essexensis</em>, gen. et sp. nov. and most closely resembles taxa of the Charadrii (plovers, stilts, oystercatchers, and other "wader-like" shorebirds). Affinities to this clade were also supported by phylogenetic analyses, which placed the fossil as the sister taxon of either the Burhinidae or all crown group Charadrii. In addition, we identify specimens of the charadriiform-like taxon <em>Scandiavis</em>, which was before only known from the early Eocene Fur Formation in Denmark. Associated limb elements of two individuals are classified as <em>Scandiavis</em> cf. <em>mikkelseni,</em> and remains of two further individuals are tentatively assigned to <em>Scandiavis</em>. The presence of a processus supracondylaris dorsalis on the previously unknown humerus corroborates charadriiform affinities of <em>Scandiavis</em>, whereas a plesiomorphic hypotarsus morphology indicates a position outside crown group Charadriiformes. <em>Charadriisimilis</em> <em>essexensis</em> is one of the earliest modern-type charadriiforms, and the holotype of the species is the most substantial early Paleogene fossil record of a charadriiform bird. Together with <em>Scandiavis</em>, as the </span><span>best-represented taxon to be considered as a</span><span> stem group charadriiform, it provides the basis for an improved understanding of the evolutionary history of charadriiform birds. </span></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.