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Dataset results
5 results for “avian insectivore”
Data from: Shade trees preserve avian insectivore biodiversity on coffee farms in a warming climate
<p>Includes a dataset of avian insectivore occurance data from 77 avian insectivores from 1970 to 2018 used in "Shade trees preserve avian insectivore biodiversity on coffee farms in a warming climate" downloaded from GBIF. Also included are full Maxent models and raster projections for the best selected model for each species for all climate scenarios, as well as a file on which threshold was selected for each species. Also included is all R code used to generate the results, coffee farm locations where bird richness was estimated, and iButton temperature files.</p>
Data from: DNA metabarcoding reveals rangewide variation in aquatic diet of a riparian avian insectivore, the Prothonotary warbler
<p>Riparian avian insectivores not only depend on terrestrial insect prey but also benefit from the inclusion of aquatic prey during critical life history periods. Diets identified herein show that Prothonotary Warbler (<em>Protonotaria citrea</em>) nestlings were provisioned with aquatic prey throughout the breeding season across their range, but with variation in prey frequency of occurrence and taxonomy. Anthropogenic activity and climate change may impact the trophic link especially between aquatic and riparian habitats by altering the presence, abundance, and timing of prey availability. Thus, we used DNA metabarcoding of fecal samples to quantify the frequency of occurrence of nestling diet items at nine sites across their breeding range that differed in expected aquatic prey consumption. We analyzed spatial and temporal differences in the occurrence and multivariate diet assemblages of each prey source. Lepidoptera was the predominant terrestrial prey occurring in diets across space and time, whereas emergent aquatic insects and freshwater mollusks in aquatic diet exhibited greater variation. The frequency of emergent aquatic prey occurrence in nestling diets ranged from 61-100% across sites and was greater for early-season nestlings. The seasonal decrease in aquatic prey consumption indicates a potential temporal shift in the nutritional landscape from aquatic to terrestrial prey sources and a possible nutritional phenological mismatch for early nestlings as climate change advances the timing of insect emergence. Our findings also suggest that Prothonotary Warblers respond to environmental variability by consuming alternative prey and argue for future research investigating the extent to which shifting diets have nutritional consequences for riparian nestlings.</p>
Data from: Shade trees preserve avian insectivore biodiversity on coffee farms in a warming climate
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Data from: DNA metabarcoding reveals rangewide variation in aquatic diet of a riparian avian insectivore, the Prothonotary warbler
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Data from: Rainy springs linked to poor nestling growth in a declining avian aerial insectivore (Tachycineta bicolor)
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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.