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datasets available to search
ShareScore release 0.9.0
Dataset results
38 results for “forage quality”
Data from: The diet of Myotis lucifugus across Canada: assessing foraging quality and diet variability
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Data from: The utility of normalized difference vegetation index for predicting African buffalo forage quality
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Data from: Discrimination behavior mediates foraging quality versus quantity trade-offs: nut choice in wild rodents
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Data from: Food quality and quantity is more important in explaining foraging of an intermediate-sized mammalian herbivore than predation risk or competition
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Data from: Elevated CO2 induces substantial and persistent declines in forage quality irrespective of warming in mixedgrass prairie
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Data from: Recent prey capture experience and dynamic habitat quality mediate short-term foraging site fidelity in a seabird
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Data from: Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments
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Plasma metabolite indices are robust to extrinsic variation and useful indicators of foraging habitat quality in Lesser Scaup (Aythya affinis)
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Figure 2 in Meat quality of different beef cattle breeds fed high energy forage
Figure 2. The toughness of meat from cattle of different breeds, mg cm2
Figure 1 in Meat quality of different beef cattle breeds fed high energy forage
Figure 1. The pH of meat from cattle of different breeds
Data from: Poor resource quality lowers transmission potential by changing foraging behaviour
Resource quality can have conflicting effects on the spread of disease. High quality resources could hinder disease spread by promoting host immune function. Alternatively, high quality food might enhance the spread of disease through other traits of hosts or parasites. Thus, to assess how resource quality shapes epidemics, we need to delineate mechanisms by which food quality affects key epidemiological traits. Here, we disentangle effects of food quality on 'transmission potential' – a key component of parasite fitness that combines transmission rate and parasite production – using a zooplankton host and fungal parasite. We estimated the components of transmission potential (i.e., parasite encounter rate, susceptibility, and yield of parasite propagules) for hosts fed a high quality green alga and a low quality cyanobacterium. A focal experiment was designed to disentangle food quality effects on various components of transmission potential. The low quality resource decreased transmission potential by stunting host growth and altering foraging behaviour. Hosts reared on low quality food were smaller and had lower size-corrected feeding rates. Due to their slower grazing, they encountered fewer parasite spores in the water. Smaller hosts also had lower risk of an ingested spore causing infection (i.e., lower susceptibility), and yielded fewer parasite propagules. Hosts switched from high to low quality food during spore exposure also had low transmission potential – despite their large size – because the poor quality resource strongly depressed foraging. A follow-up experiment investigated traits of the low quality resource that might have driven those results. Cyanobacterial compounds that can inhibit digestive proteases of a related grazer likely did not cause the observed reductions in transmission potential. Our study highlights the value of using mechanistic models to pinpoint how resource quality can change transmission potential. Overall, our results show that low quality resources could inhibit the spread of disease through effects on multiple components of transmission potential. They also provide insight into how disease outbreaks in wildlife may respond to shifts in resource quality caused by eutrophication or climate change.
Quantity over quality? Prey-field characteristics influence the foraging decisions of little penguins (Eudyptula minor) - b
<p>Camera data for obtaining results for paper</p>
Quantity over quality? Prey-field characteristics influence the foraging decisions of little penguins (Eudyptula minor) - a
<p>Camera data for obtaining results for paper</p>
Data from: Poor resource quality lowers transmission potential by changing foraging behaviour
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Data from: Public-private partnership wetland restorations provide quality forage for waterfowl in Northern New York
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Integrated metabolomic and transcriptome analyses reveal finishing forage affects metabolic pathways related to beef quality and animal welfare
GEO Series GSE70248. Bos taurus. 4 samples. Type: Expression profiling by high throughput sequencing.
Roles of different regions in dairy nitrogen conversion: transcriptome based insights on utilization of low quality forage resources
GEO Series GSE78524. Bos taurus. 72 samples. Type: Expression profiling by high throughput sequencing.
Systematic microRNAome profiling reveals the roles of microRNAs in milk protein metabolism and quality: insights on low-quality forage utilization
GEO Series GSE117441. Bos taurus. 90 samples. Type: Non-coding RNA profiling by high throughput sequencing.
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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.