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34 results for “local breeds”
Data from: Tick infestation of chicks in a seabird colony varies with local breeding synchrony, local nest density and habitat structure
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Data from: Outlier analyses to test for local adaptation to breeding grounds in a migratory arctic seabird
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Data from: Genetic analysis of differentiation among breeding ponds reveals a candidate gene for local adaptation in Rana arvalis
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Data from: Runs of homozygosity and signatures of selection: a comparison among eight local Swiss sheep breeds
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Data from: Growth gains from selective breeding in a spruce hybrid zone do not compromise local adaptation to climate
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Data from: A genome‐wide search for local adaptation in a terrestrial‐breeding frog reveals vulnerability to climate change
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Local human population increase in the non-breeding areas of long-distance migrant bird species is only weakly associated with their declines, even for synanthropic species
<p><span>Aim: To show how recent declines in populations of long-distance migrant birds are associated with recent increases in human population growth and agricultural intensification on their tropical non-breeding grounds, except for synanthropic species, where we expect the reverse.</span></p> <p><span>Location: Breeding populations throughout Europe and North America spending the non-breeding season throughout Africa, and Central and South America, respectively. </span></p> <p><span>Methods: </span>We mapped 50 species of long-distance migrant birds from published tagging studies of 126 breeding populations and identified their breeding population trends from 2000-2015 from published Country or State census data. We then matched individual bird non-breeding locations, from each population, to local human population change and crop yield data. We used GLMs to predict whether bird population decline was associated with human population change or crop yield and whether this was dependent on if a species was synanthropic or not, controlling for absolute human population density, breeding and non-breeding location, migratory distance and phylogeny. We predicted that bird populations that spend the non-breeding season in areas of recent higher human population increase or agricultural intensification (crop yield), would show greater declines, but that declines would be less for species that frequently utilize anthropogenic habitats such as secondary woodland and farmland.</p> <p><span>Results: </span>Bird population change, even for synanthropic species, showed a significant negative relationship with relative human population change and crop yield (but this was weak, <2% and 6% of variance respectively), and this relationship was the same for the Neotropics and Africa, despite African human population change being three times larger.</p> <p><span>Main conclusions: </span>The results suggest that local human population change in the non-breeding area is likely to be only a relatively minor driver of migrant declines, and its effects may be through increases in agricultural intensification reducing carrying capacity but we currently lack local studies to confirm this.</p>
Data from: Local prey shortages drive foraging costs and breeding success in a declining seabird, the Atlantic puffin
<p>As more and more species face anthropogenic threats, understanding causes of population declines in vulnerable taxa is essential. However, long-term datasets, ideal to identify lasting or indirect effects on fitness measures such as those caused by environmental factors, are not always available. </p> <p>Here we use a single year but multi-population approach on populations with contrasting demographic trends to identify possible drivers and mechanisms of seabird population changes in the north-east Atlantic, using the Atlantic puffin, a declining species, as a model system. </p> <p>We combine miniature GPS trackers with camera traps and DNA metabarcoding techniques on four populations across the puffins' main breeding range to provide the most comprehensive study of the species' foraging ecology to date. </p> <p>We find that puffins use a dual foraging tactic combining short and long foraging trips in all four populations, but declining populations in southern Iceland and north-west Norway have much greater foraging ranges, which require more (costly) flight, as well as lower chick-provisioning frequencies, and a more diverse but likely less energy-dense diet, than stable populations in northern Iceland and Wales. </p> <p>Together, our findings suggest that the poor productivity of declining puffin populations in the north-east Atlantic is driven by breeding adults being forced to forage far from the colony, presumably because of low prey availability near colonies, possibly amplified by intraspecific competition. Our results provide valuable information for the conservation of this and other important North-Atlantic species and highlight the potential of multi-population approaches to answer important questions about the ecological drivers of population trends.</p>
Figure 3 in Effect of season and housing systems on various physiobehavioral attributes of local breed of rabbits (Oryctolagus cuniculus) in Southern Punjab, Pakistan
Figure 3. Effect of housing systems on various behavioral attributes of rabbits. Data is mean (± SE). Similar letters on the bars indicate non-significant (p ≥ 0.05) difference within caged and colony reared rabbits for sitting. Different letters on the bars indicate significant (p ≤ 0.05) difference within caged and colony reared rabbits for standing and walking.
Local human population increase in the non-breeding areas of long-distance migrant bird species is only weakly associated with their declines, even for synanthropic species
Open the record for dataset details and reuse information.
Data from: Local prey shortages drive foraging costs and breeding success in a declining seabird, the Atlantic puffin
Open the record for dataset details and reuse information.
Comparative transcriptomic analysis of subcutaneous adipose tissue from local pig breeds
GEO Series GSE145956. Sus scrofa. 8 samples. Type: Expression profiling by high throughput sequencing.
Figure 1 in Effect of season and housing systems on various physiobehavioral attributes of local breed of rabbits (Oryctolagus cuniculus) in Southern Punjab, Pakistan
Figure 1. Map of Pakistan with coordinates and legends indicating Rahim Yar Khan District.
Dataset with SNP genotypes for local goat breeds of Mongolia (PLINK format)
<p>SNP genotyping was performed with Goat 50K BeadChip (Illumina Inc., USA) containing ~60 000 SNP. Quality control was performed by setting a cutoff of 0.5 for the GenCall and GenTrain scores. SNP dataset was filtered to remove poorly genotyped individuals, loci genotyped in <90% of individuals and rare alleles using PLINK 1.9 (Chang et al. 2015) with geno 0.1 --mind 0.1 --maf 0.05 plink parameters. To ensure that our analysis would not be affected by the presence of SNP in strong linkage disequilibrium we also filtered data with --indep-pairwaise 50 5 0.2 PLINK filter. </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.