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32 results for “landbirds”
Distribution models for riparian landbirds and waterbirds in the Sacramento-San Joaquin Delta
<p><strong>SUMMARY</strong><br> Distribution models for 9 riparian landbird species and 6 groups of waterbird species in the Sacramento-San Joaquin River Delta of California. </p> <p><strong>DESCRIPTION</strong><br> These predictive models were developed to relate the probability of species or group presence as a function of the surrounding landscape, facilitating predictions of species presence or absence over the entire landscape. Each .RData object is structured as a list containing individual model objects of class `gbm` for each species or group.</p> <p>Models were developed using Boosted Regression Trees, implemented in R using the R packages `dismo` (Hijmans et al. 2021) and `gbm` (Greenwell et al. 2020). Models were developed from pre-existing bird survey data, including 2,547 surveys for riparian landbirds conducted at 716 unique locations throughout the Central Valley of California during the breeding season (May and June), 2011–2019, and 7,820 surveys for waterbirds conducted at 504 unique locations in the Delta during the fall (July 15–November 15) and winter (November 17–March 5) seasons, 2013–14 and 2014–15. Waterbird models were developed for each of the fall and winter seasons, with 46 species grouped into 6 distinct groups defined by similar habitat requirements, foraging style, and diet. </p> <p>These models were used to predict the distribution of each species and group across a baseline Delta landscape (representing land cover in 2018), and these predictions were used to identify Priority Bird Conservation Areas in the Delta. In addition, the models were used to predict distributions for alternative scenarios of future landscape change, and to evaluate the net change from the baseline distributions in the total area of suitable habitat. These models are required for evaluating the change in Biodiversity Support benefits using the R package "DeltaMultipleBenefits", which provides the code and work flow for repeating the initial scenario analyses or analyzing new scenarios.</p> <p>For additional details about the development and applications of these data, please see: </p> <ul> <li>Dybala K, Sesser K, Reiter M, Shuford WD, Golet GH, Hickey C, Gardali T. (<em>In review</em>) Priority Bird Conservation Areas in California’s Sacramento–San Joaquin Delta.</li> <li>Dybala KE, et al. (<em>In review</em>) Multiple-benefit Conservation in Practice: A Framework for Quantifying Multi-dimensional Impacts of Landscape Change in California’s Sacramento–San Joaquin Delta.</li> <li>Dybala KE (2023) <em>DeltaMultipleBenefits: Projecting the Multiple Benefits of Land Cover Change in the Sacramento-San Joaquin River Delta</em>. R package version 1.0.0. doi:10.5281/zenodo.7718620. https://pointblue.github.io/DeltaMultipleBenefits </li> </ul> <p><strong>Literature Cited:</strong></p> <ul> <li>Greenwell B, Boehmke B, Cunningham J, Developers G (2020). <em>gbm: Generalized Boosted Regression Models</em>. R package version 2.1.8. https://CRAN.R-project.org/package=gbm</li> <li>Hijmans RJ, Phillips S, Leathwick J, Elith J (2021). <em>dismo: Species Distribution Modeling</em>. R package version 1.3-5. https://CRAN.R-project.org/package=dismo</li> </ul> <p><strong>FUNDING STATEMENT</strong><br> These data were developed as part of the project "Trade-offs and Co-benefits of Landscape Change on Bird Communities and Ecosystem Services in the Sacramento–San Joaquin River Delta", funded by Proposition 1 Delta Water Quality and Ecosystem Restoration Program, Grant Agreement Number – Q1996022, administered by the California Department of Fish and Wildlife.</p> <p><strong>POINT OF CONTACT</strong><br> Kristen Dybala, Point Blue Conservation Science, kdybala@pointblue.org</p> <p><strong>SUGGESTED CITATION</strong><br> Dybala KE, Sesser KA, Reiter ME, Shuford WD, Golet GH, Hickey CM, Gardali T. 2023. Distribution models for riparian landbirds and waterbirds in the Sacramento-San Joaquin Delta. doi: 10.5281/zenodo.7531945</p> <p><strong>DATA DISTRIBUTION</strong><br> Zenodo. (https://doi.org/10.5281/zenodo.7531945)</p> <p><strong>PROGRESS</strong><br> Complete, but note that the accompanying manuscript has not yet undergone peer-review, and thus these data may require future revision.</p> <p><strong>UPDATE FREQUENCY</strong><br> Not Planned</p> <p><strong>DATE</strong><br> These models were developed 2019-2022, based on bird survey data collected 2011-2019.</p> <p><strong>FIELD DEFINITIONS</strong><br> N/A</p> <p><strong>ABBREVIATION DEFINITIONS</strong></p> <p>BRT_models_riparianlandbirds.RData:</p> <ul> <li><strong>NUWO:</strong> Nuttall's Woodpecker (<em>Picoides nuttallii</em>)</li> <li><strong>ATFL: </strong>Ash-throated Flycatcher (<em>Myiarchus cinerascens</em>)</li> <li><strong>BHGR: </strong>Black-headed Grosbeak (<em>Pheucticus melanocephalus</em>)</li> <li><strong>LAZB: </strong>Lazuli Bunting (<em>Passerina amoena</em>)</li> <li><strong>COYE:</strong> Common Yellowthroat (<em>Geothlypis trichas</em>)</li> <li><strong>YEWA: </strong>Yellow Warbler (<em>Setophaga petechia</em>)</li> <li><strong>SPTO: </strong>Spotted Towhee (<em>Pipilo maculatus</em>)</li> <li><strong>SOSP:</strong> Song Sparrow (<em>Melospiza melodia</em>)</li> <li><strong>YBCH: </strong>Yellow-breasted Chat (<em>Icteria virens</em>)</li> </ul> <p>BRT_models_waterbirds.RData:</p> <ul> <li><strong>geese:</strong> Geese <ul> <li>Greater White-fronted Goose (<em>Anser albifrons</em>)</li> <li>Snow Goose (<em>Anser caerulescens</em>)</li> <li>Ross's Goose (<em>Anser rossii</em>)</li> <li>Cackling Goose (<em>Branta hutchinsii</em>)</li> <li>Canada Goose (<em>Branta canadensis</em>)</li> </ul> </li> <li><strong>dblr: </strong>Dabbling ducks, including: <ul> <li>Wood Duck (<em>Aix sponsa</em>)</li> <li>Gadwall (<em>Mareca strepera</em>)</li> <li>American Wigeon (<em>Mareca americana</em>)</li> <li>Mallard (<em>Anas platyrhynchos</em>)</li> <li>Blue-winged Teal (<em>Spatula discors</em>)</li> <li>Cinnamon Teal (<em>Spatula cyanoptera</em>)</li> <li>Northern Shoveler (<em>Spatula clypeata</em>)</li> <li>Northern Pintail (<em>Anas acuta</em>)</li> <li>Green-winged Teal (<em>Anas carolinensis</em>)</li> </ul> </li> <li><strong>divduck: </strong>Diving ducks (<em>Note: this model was only developed for the winter season</em>) <ul> <li>Canvasback (<em>Aythya valisineria</em>)</li> <li>Ring-necked Duck (<em>Aythya collaris</em>)</li> <li>Lesser Scaup (<em>Aythya affinis</em>)</li> <li>Bufflehead (<em>Bucephala albeola</em>)</li> <li>Common Goldeneye (<em>Bucephala clangula</em>)</li> <li>Hooded Merganser (<em>Lophodytes cucullatus</em>)</li> <li>Common Merganser (<em>Mergus merganser</em>)</li> <li>Ruddy Duck (<em>Oxyura jamaicensis</em>)</li> </ul> </li> <li><strong>crane: </strong>Cranes <ul> <li>Greater Sandhill Crane (<em>Antigone canadensis tabida</em>)</li> <li>Lesser Sandhill Crane (<em>Antigone canadensis canadensis</em>)</li> </ul> </li> <li><strong>shore: </strong>Shorebirds <ul> <li>Western Sandpiper (<em>Calidris mauri</em>)</li> <li>Least Sandpiper (<em>Calidris minutilla</em>)</li> <li>Dunlin (<em>Calidris alpina</em>)</li> <li>Black-necked Stilt (<em>Himantopus mexicanus</em>)</li> <li>American Avocet (<em>Recurvirostra americana</em>)</li> <li>Greater Yellowlegs (<em>Tringa melanoleuca</em>)</li> <li>Lesser Yellowlegs (<em>Tringa flavipes</em>)</li> <li>Long-billed Dowitcher (<em>Limnodromus scolopaceus</em>)</li> <li>Short-billed Dowitcher (<em>Limnodromus griseus</em>)</li> <li>Wilson's Snipe (<em>Gallinago delicata</em>)</li> </ul> </li> <li><strong>cicon: </strong>Herons/Egrets (Ciconiiformes) <ul> <li>Great Blue Heron (<em>Ardea herodias</em>)</li> <li>Great Egret (<em>Ardea alba</em>)</li> <li>Snowy Egret (<em>Egretta thula</em>)</li> <li>Cattle Egret (<em>Bubulcus ibis</em>)</li> <li>Green Heron (<em>Butorides virescens</em>)</li> <li>Black-crowned Night-Heron (<em>Nycticorax nycticorax</em>)</li> </ul> </li> </ul> <p><strong>ACCESS & USE CONSTRAINTS</strong><br> CC-by-4.0 (https://creativecommons.org/licenses/by/4.0/)</p> <p><strong>KEYWORDS</strong></p> <ul> <li><strong>Themes: </strong>birds, landbirds, songbirds, waterbirds, waterfowl, shorebirds, distribution, habitat</li> <li><strong>Place: </strong>Sacramento-San Joaquin River Delta, Central Valley, California</li> </ul>
Data for: Long-term body size change in multiple landbird species, long-term change in temperature and precipitation as well as associations between temperature, precipitation, and morphological change in multiple landbird species, 2004 – 2019, 2021 - 2022.
<p>Six data sets used to look for long-term change in precipitation and temperature, body size change and possible environmental drivers of morphological change in birds captured during spring or fall migration in and around Lackawanna State Park, northeastern Pennsylvania, USA.</p> <p>The file labeled daily_temp_precip.csv contains daily precipitation and average daily temperature data from the Scranton/Wilkes Barre Airport (Avoca, Pennsylvania, USA) and the file called daily_temp_precip_1400 contains daily precipitation and daily temperature data from weather stations within 1,400 km of our study site location (41.6<sup>o</sup>N, 75.7<sup>o</sup>W), bounded by 80<sup>o</sup> W and 70<sup>o</sup>W longitude.</p> <p>The file called band_data_final.csv contains data collected from the first capture of individuals of multiple species during spring or fall migration, the file called all_hy_env_morph.csv contains temperature and precipitation anomaly data from Scranton/Wilkes Barre Airport (Avoca, Pennsylvania, USA), as well as morphological data from the first capture of all fall migrating young of the year.</p> <p>The file called all_hy_env_morph_1400.csv contains temperature and precipitation anomaly data from weather stations within 1,400 km of our study site location (41.6<sup>o</sup>N, 75.7<sup>o</sup>W), bounded by 80<sup>o</sup> W and 70<sup>o</sup>W longitude as well as morphological data from the first capture of all fall migrating young of the year while the file called local_hy_env_morph.csv contains temperature and precipitation anomaly data as well as first capture of local young of the year.</p>
Fig. 1 in Pleistocene non-passeriform landbirds from Shiriya, northeast Japan
Fig. 1. Geographic location of Shiriya localities. Landmarks mentioned in the text are also indicated. Inset (41°24'N, 141°24'E) shows major fossil localities mentioned in the text (stars; after Hasegawa et al. 1988). Dark grey indicates distribution of limestone/limestone breccia bodies (after Tsushima and Takizawa 1977). Abbreviations: I., island; Is., islands.
Fig. 5 in Pleistocene non-passeriform landbirds from Shiriya, northeast Japan
Fig. 5. Columbidae gen. et sp. indet. from the upper Pleistocene of Shiriya, Japan. A. NSMT PV 24551, right humerus in dorsal (A1) and cranial (A2) views. B. NSMT PV 24552, left humerus in cranial view. C. NSMT PV 24553 sternum in ventral (C1) and cranial (C2) views. Fossils coated with ammonium chloride.
Fig. 4 in Pleistocene non-passeriform landbirds from Shiriya, northeast Japan
Fig. 4. Coturnicini gen. et sp. indet. from the upper Pleistocene of Shiriya, Japan. A. NSMT PV 24543, right humerus in cranial (A1) and ventral (A2) views. B. NSMT PV 24547, tarsometatarsus in dorsal (B1) and medial (B2) views. C. NSMT PV 24545, left tibiotarsus in cranial view. Fossils coated with ammonium chloride. Abbreviation: c, concavity on the ventral surface of epicondylus ventralis (see text).
Fig. 10 in Pleistocene non-passeriform landbirds from Shiriya, northeast Japan
Fig. 10. Accipitridae gen. et sp. indet. from the upper Pleistocene of Shiriya, Japan. A. NSMT PV 19003, left femur in cranial (A1) and lateral A2) views. B. NSMT PV 24599, left ulna in craniodorsal (B1) and ventral B2) views. C. NSMT PV 24598, terminal phalanx of (right second?) pedal digit in lateral (C1) and medial (C2) views. Fossils coated with ammonium chloride. Scale bar 10 mm. Abbreviation: d, depression proximal to foramen pneumaticum (see text).
Fig. 6 in Pleistocene non-passeriform landbirds from Shiriya, northeast Japan
Fig. 6. Apodid bird Apus sp. from the upper Pleistocene of Shiriya, Japan (A, C, D), compared with Recent Apus pacificus (Latham, 1801) from Russia (B). A. NSMT PV 24548, left coracoids in ventral (A1) and dorsal (A2) views. B. UWBM 46958, left coracoid, in ventral (B1) and dorsal (B2) views; left carpometacarpus in dorsal view (B3); proximal phalanx of left major wing digit in dorsal view (B4). C. NSMT PV 24549, left carpometacarpus in ventral (C1) and dorsal (C2) views. D. NSMT PV 24550, proximal phalanx of right major wing digit in ventral (D1) and dorsal (D2) views. Fossils coated with ammonium chloride.
Fig. 2 in Pleistocene non-passeriform landbirds from Shiriya, northeast Japan
Fig. 2. Phasanid bird Syrmaticus sp. from the upper Pleistocene of Shiriya, Japan (A, B, E, F, H–L), compared with Recent Syrmaticus soemmerringii (Temminck, 1830) (C) and Recent Phasianus colchicus Linnaeus, 1758 (D). A. NSMT PV 24535, left humerus in cranial (A1) and caudal (A2) views. B. NSMT PV 24536, right humerus in cranial (B1) and caudal (B2) views. C. MVZ 49764, left humerus in caudal view (C1), left coracoid in dorsal (C2) and omal (C3) views, right carpometacarpus in dorsal view (C4). D. MVZ 68327, left humerus in caudal view (D1), left coracoid in dorsal (D2) and omal (D3) views. E, F. NSMT PV 24541 and NSMT PV 24542, respectively, right carpometacarpi in dorsal view. G. NSMT PV 24540, premaxilla in ventral (G1) and left lateral (G2) views. H. NSMT PV 24539, proximal phalanx of right major wing digit in dorsal (H1) and ventral (H2) views. I. Right ulnare (NSMT PV 24538), in distal (I1) and proximal (I2) views. J. Left coracoid (NSMT PV 24531), in ventral (J1), dorsal (J2), and omal (J3) views. K. Left coracoid (NSMT PV 24532), in ventral (K1) and dorsal (K2) views. Fossils coated with ammonium chloride.
Fig. 9 in Pleistocene non-passeriform landbirds from Shiriya, northeast Japan
Fig. 9. Bivariate scatter plots of Recent and fossil species of Haliaeetus: cranial (A), coracoidal (B), humeral (C), ulnar (D), radial (E), and tibiotarsal (F) measurements. Abbreviations: CNT, crista nuchalis transversa; FT, fossa temporalis.
Fig. 3 in Pleistocene non-passeriform landbirds from Shiriya, northeast Japan
Fig. 3. Bivariate scatter plots of Recent and fossil species of Syrmaticus: proximal (A) and distal (C) humeral, humeral shaft (B), and carpometacarpal (D) measurements.
Fig. 1 in An Elaphrocnemus-like landbird and other avian remains from the late Paleocene of Brazil
Fig. 1. Humerus, coracoid, and carpometacarpus from the late Paleocene of Brazil in comparison to Idiornithidae and extant Tinamidae. A. Itaboravis elaphrocnemoides gen. et sp. nov. from the Itaboraian of São José de Itaboraí, left coracoid (holotype, MN 4114−V), in dorsal (A1), medial (A2), and ventral (A3) views. B. Left coracoid of Elaphrocnemus phasianus Milne−Edwards, 1892 (NMB Q.D.242) from the late Eocene of France, in dorsal view. C. Left coracoid of extant Crypturellus parvirostris (Wagler, 1827) (Tinamidae) (SMF 2164), in dorsal view. D. Right carpometacarpus of an undertermined bird (Aves indet. A) (MN 4115−V) from the Itaboraian of São José de Itaboraí, in ventral (D1), dorsal (D2), and cranial (D3) views, with detail of processus extensorius (D4). E. Right carpometacarpus of E. phasianus (NMB Q.D. 434) from the late Eocene of France, in ventral view. F. Right carpometacarpus of extant C. parvirostris (SMF 2164), in ventral view. G. Right humerus of I. elaphrocnemoides (MN 4113−V) from the late Eocene of France, in cranial (G1), ventral (G2), and caudal (G3) views. H. Distal end of left humerus of I. elaphrocnemoides (MN 4121−V) from the late Eocene of France, in cranial (H1) and caudal (H2) views. I. Left humerus of E. phasianus (NMB Q.W.1755) from the late Eocene of France, in cranial view; reversed to facilitate comparisons. J. Left humerus of extant C. parvirostris (SMF 2164), in cranial view.
Fig. 2 in An Elaphrocnemus-like landbird and other avian remains from the late Paleocene of Brazil
Fig. 2. Undetermined avian remains from the late Paleocene of Brazil. A. Distal left tibiotarsus of Aves indet. B (cf. Eutreptodactylus itaboraiensis gen. et sp. nov.) (MN 4119−V), in cranial (A1) and caudal (A2) views. B. Distal right tibiotarsus of Aves indet. C (MN 4116−V), in cranial (B1) and caudal (B2) views. C. Distal left tibiotarsus of Aves indet. D (MN 4117−V) lacking condylus medialis, in cranial view. D. Distal left tibiotarsus of Aves indet. E (MN 4118−V), in cranial (D1) and caudal (D2) views. E. Distal left tarsometatarsus of an undetermined bird (?Aves indet. D or E) (MN 4120−V), in dorsal view.
Data and code from: How do synchrony in survival and productivity influence abundance synchrony in European landbirds?
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A database of migration records between countries established by African-Eurasian migratory landbirds and raptors
<p>Tracking studies were reviewed to compile migration records of African-Eurasian migratory landbirds and raptors. A migration record corresponds to the connection established by an individual bird as it migrates between a breeding country in Europe and a nonbreeding country in sub-Saharan Africa. Each migration record includes: (i) species; (ii) breeding country (i.e., the country in Europe where the bird was tagged during the breeding season); and (iii) nonbreeding country (i.e., the country in sub-Saharan African where the bird stayed the longest). Data were extracted preferably from text and tables. When not explicitly reported, locations were estimated from the plotted maps (e.g., through density of positions). In cases where it was unclear which of several non-breeding countries should be considered as the most important, the southernmost country was selected. For birds tracked over multiple years, only the first complete migration reported were considered. Individuals whose non-breeding country was not possible to extract were excluded. Also excluded were records whose non-breeding geographical positions (i.e., longitude/latitude) reported in the studies were >1000 km outside of the known nonbreeding range of the species and in a country where the species is not known to occur. Details in Appendices S3 & S4.</p> <p> </p> <p> </p>
A simple method to estimate capture height biases at landbird banding stations: opportunities and limitations
<p>Mist-nets are one of the most important tools for the capture of wild birds in ornithological research. The probability of capturing birds may vary by net height, which may drive capture biases. Such biases are rarely estimated, likely because of the relatively high cost and effort associated with constructing and operating elevated mist-net rigs where multiple mist-nets are stacked above one another. Therefore, a low-cost and -effort method to collect capture height data may allow broader investigation and better accounting of potential bias in existing banding protocols. Here, we investigate whether recording net panel of capture (with net panels indicating capture height, e.g., "upper panel") in ground-level mist-nets provides sufficient information to estimate capture height biases and compare these estimations to those obtained with traditional elevated mist-net rigs. Of the 29 taxa analyzed, we detected elevated capture biases for 11 (37.9%) and ground-level capture biases for seven (24.1%). When compared to estimates derived from elevated mist-net rigs at the same study site, we found high agreement with ground-level biases (75.0%) and low agreement with elevated biases (23.1%). These results suggest panel height of ground-level nets is a reliable method to estimate ground-level biases; however, scale of sampling may influence elevated biases, particularly for species that center their activity at the mid-story. Recording panel height may be quickly integrated into a station's processing protocols and broader application may improve our understanding of these biases.</p>
Supplementary data for "Additive and interactive cumulative effects on boreal landbirds: winners and losers in a multi-stressor landscape"
<p>Supplementary data for:</p> <p>Mahon, C. Lisa , Gillian L. Holloway, Erin M. Bayne, and Judith D. Toms. 2019. Additive and interactive cumulative effects on boreal landbirds: winners and losers in a multi-stressor landscape. Ecological Applications in press. <a href="https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/eap.1895">https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/eap.1895</a></p> <p>This file lists point count data selected for this analysis from the ECCC data available at <a href="https://www.canada.ca/en/environment-climate-change/services/oil-sands-monitoring/monitoring-biodiversity-alberta-oil-sands.html">https://www.canada.ca/en/environment-climate-change/services/oil-sands-monitoring/monitoring-biodiversity-alberta-oil-sands.html</a>, under the “Cause-effect migratory landbirds at regional scales” and “Species-at-risk migratory landbirds” project links.</p>
Data from: Multi-decadal changes in co-occurrence of migrating landbirds are associated with species-specific changes in phenology and abundance
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A simple method to estimate capture height biases at landbird banding stations: opportunities and limitations
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Data from: Can patterns of habitat use by western Nearctic-Neotropical migratory landbirds in winter inform conservation priorities?
<p>ABSTRACT—I use point-count survey data collected from 171 locations across 11 vegetation conditions in western Mexico to illustrate common patterns of winter habitat use by 97 Nearctic-Neotropical migratory landbird species. A number of bird species are relatively restricted in their habitat use, with some [e.g., Northern Waterthrush (<i>Parkesia noveboracensis</i>), American Redstart (<i>Setophaga ruticilla</i>)] occurring only in relatively undisturbed habitats, and others [e.g., Say's Phoebe (<i>Sayornis saya</i>), Horned Lark (<i>Eremophila alpestris</i>)] occurring only in relatively disturbed lands associated with agriculture. A large number of bird species [e.g., Cassin's Vireo (<i>Vireo cassinii</i>), MacGillivray's Warbler (<i>Geothlypis tolmiei</i>)] use every one of the vegetation types considered, from low-elevation tropical deciduous forests to high-elevation conifer forests. Bird species showing patterns of restricted habitat use deserve conservation attention, but so might more broadly distributed species that become significantly less abundant in human-altered habitats. Identifying the latter will require the inclusion of a wider spectrum of altered vegetation types/conditions than what I included here, or than what is typically considered in wildlife-habitat relationship programs.</p>
Broad-scale patterns of the Afro-Palearctic landbird migration
Aim: Animal migration strategies balance trade-offs between mortality and reproduction in seasonal environments. Knowledge of broad-scale biogeographical patterns of animal migration is important for understanding ecological drivers of migratory behaviours. Here we present a flyway-scale assessment of the spatial structure and seasonal dynamics of the Afro-Palearctic bird migration system and explore how phenology of the environment guides long-distance migration. Location: Europe and Africa. Time period: 2009–2017. Major taxa studied: Birds. Methods: We compiled an individual-based dataset comprising 23 passerine and near-passerine species of 55 European breeding populations where a total of 564 individuals were tracked migrating between Europe and sub-Saharan Africa. In addition, we used remote sensed observations on primary productivity (NDVI) to estimate the timing of vegetation green-up in spring and senescence in autumn across Europe. First, we described how individual breeding and non-breeding sites and the migratory flyways link geographically. Second, we examined how migration timing along the two major Afro-Palearctic flyways is tuned with vegetation phenology en route and at the breeding sites. Results: While we found the longitudes of individual breeding and non-breeding sites to be strongly positively related, the latitudes of breeding and non-breeding sites were negatively related. In autumn, timing of migration was similar along the Western and the Eastern flyways and happened ahead of the autumnal senescence of vegetation. In spring, migration timing was approximately two weeks later along the Eastern flyway than on the Western flyway which coincided with the later spring green-up in Eastern Europe. Main Conclusions: Migration of the Afro-Palearctic landbirds follows a longitudinally parallel leap-frog migration pattern where migrants track vegetation green-up in spring and depart before vegetation senescence in autumn. However, the ongoing global change have the potential to disrupt this spatiotemporal synchronization between migration timing and spring green-up with variable effects on different migrant populations.
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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.