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84 results for “spillover”
The Sugira Muryango Longitudinal & Spillover Study
ClinicalTrials.gov study NCT05405400. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Data from: Nontarget herbivory by a weed biocontrol insect is limited to spillover, reducing the chance of population-level impacts
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Data from: Low-load pathogen spillover predicts shifts in skin microbiome and survival of a terrestrial-breeding amphibian
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Data from: Matrix type and landscape attributes modulate avian taxonomic and functional spillover across habitat boundaries in the Brazilian Atlantic Forest
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Data from: Prediction and attenuation of seasonal spillover of parasites between wild and domestic ungulates in an arid mixed-use system
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Datasets from: The distribution of covert natural enemies of a globally invasive crop pest, the fall armyworm, in Africa; enemy-release and spillover events
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Data from: Host species composition influences infection severity among amphibians in the absence of spillover transmission
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Data for: Connectedness and spillover effect between cryptocurrency and financial assets
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Differentiating spillover: an examination of cross-habitat movement
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Data from: Long-term prevalence data reveals spillover dynamics in a multi-host (Artemia), multi-parasite (Microsporidia) community
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Data from: Elk migration influences the risk of disease spillover in the Greater Yellowstone Ecosystem
<ol> <li>Wildlife migrations provide important ecosystem services, but they are declining. Within the Greater Yellowstone Ecosystem (GYE) some elk (<i>Cervus canadensis</i>) herds are losing migratory tendencies, which may increase spatiotemporal overlap between elk and livestock (domestic bison [<i>Bison bison</i>] and cattle [<i>Bos taurus</i>]), potentially exacerbating pathogen transmission risk.</li> <li>We combined disease, movement, demographic, and environmental data from eight elk herds in the GYE to examine the differential risk of brucellosis transmission (through aborted fetuses) from migrant and resident elk to livestock.</li> <li>For both migrants and residents, we found that transmission risk from elk to livestock occurred almost exclusively on private ranchlands as opposed to state or federal grazing allotments. Weather variability affected the estimated distribution of spillover risk from migrant elk to livestock, with a 7-12% increase in migrant abortions on private ranchlands during years with heavier snowfall. In contrast, weather variability did not affect spillover risk from resident elk.</li> <li>Migrant elk were responsible for the majority (68%) of disease spillover risk to livestock because they occurred in greater numbers than resident elk. On a per-capita basis, however, our analyses suggested that resident elk disproportionately contributed to spillover risk. In five of seven herds, we estimated that the per-capita spillover risk was greater from residents than from migrants. Averaged across herds, an individual resident elk was 23% more likely than an individual migrant elk to abort on private ranchlands.</li> <li>Our results demonstrate links between migration behavior, spillover risk, and environmental variability, and highlight the utility of integrating models of pathogen transmission and host movement to generate new insights about the role of migration in disease spillover risk. Further, they add to the accumulating body of evidence across taxa that suggests that migrants and residents should be considered separately during investigations of wildlife disease ecology. Finally, our findings have applied implications for elk and brucellosis in the GYE, and suggest that managers should prioritize actions that maintain spatial separation of elk and livestock on private ranchlands during years when snowpack persists into the risk period.</li> </ol>
Dataset of spillover effects of protected areas on the QTP
<p>Aim: Although protected areas (PAs) are assumed to reduce threats to nature within boundaries, their spillover effects remain equivocal. It is necessary to not only determine whether PAs truly achieve conservation targets but also whether they promote or inhibit natural habitat degradation in adjacent areas by blockage or leakage spillover. This study aims to choose 54 nature reserves (NRs) focusing on forest protection as a case study to assess PA conservation effectiveness and spillover prevalence.</p> <p>Location: PAs on the Qinghai-Tibet Plateau (QTP)</p> <p>Methods: We used matching methods to compare deforestation rates inside PAs and their 20 km buffer zones with matched control areas based on the Global Forest Change data from 2001 to 2019. We contrasted the effects of NRs with different management levels, ages and areas. We designed 5 concentric buffer zones to assess spillover change with distance and estimated potential drivers of the spillover effect to explain its directions and magnitudes.</p> <p>Results: 75.9% of the NRs were effective in preventing deforestation within their boundaries. NRs with different properties showed similar performance on forest conservation. Positive spillover value decreased with distance from NR boundary to further landscape, but the trend of spillover change varied around individual NR. Blockages slightly outnumbered leakages at different distances while leakages happened more frequently when we treated buffer zones as a whole spillover area. The linear model indicated NR age and population density of buffer zones were the most relevant predictors to spillover value.</p> <p>Main conclusions: Most PAs performed well in forest conservation. Leakages could undermine or offset PA conservation efforts and were related to multiple natural or socioeconomic factors. We recommend considering the plurality of PAs as well as spillover effect and incorporating a social-ecological framework in further PA establishment and management.</p>
Connectedness and spillover effect between cryptocurrency and financial assets
Cryptocurrencies have quickly become one type of important financial asset. Accordingly, it is important to understand the interaction between cryptocurrency and other financial asset markets. However, previous literature paid less attention to the correlation between the price trend of cryptocurrencies and other financial assets. Using the vector autoregression model, we analyzed price correlation and spillover effect between cryptocurrencies and financial assets between November 2017 and February 2022. The study concludes that stock price has a spillover effect on cryptocurrencies, government bonds, and precious metals. The research results are useful while allocating portfolios or hedge strategies that include cryptocurrencies and financial assets such as stocks, government bonds, and precious metals.
Data from: Economic uncertainty, geopolitical risk and U.S. energy price risk spillover: An empirical study based on the risk spillover model
<p>This data is mainly used to analyze the risk correlation among economic uncertainly,geopolitical risk and energy price,and can also be applied to the TVP-VAR model to analyze the correlation between different variables using the time-varying parameter model,which has great potential for reuse. The risk relationship between economic uncertainly.At the same time,since it is macroeconomic data,it does not involve any moral and ethical issues.</p>
Data from: Elk migration influences the risk of disease spillover in the Greater Yellowstone Ecosystem
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Dataset of spillover effects of protected areas on the QTP
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Data from: Economic uncertainty, geopolitical risk and U.S. energy price risk spillover: An empirical study based on the risk spillover model
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Connectedness and spillover effect between cryptocurrency and financial assets
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Temporal gene expression with 30 days 'spillover' resistance training in the rat tibialis anterior muscle delivered with implantable pulse generators.
GEO Series GSE196147. Rattus norvegicus. 24 samples. Type: Expression profiling by high throughput sequencing.
Data from: Knock-on community impacts of a novel vector: spillover of emerging DWV-B from Varroa-infested honeybees to wild bumblebees
Novel transmission routes can directly impact the evolutionary ecology of infectious diseases, with potentially dramatic effect on host populations and knock-on effects on the wider host community. The invasion of Varroa destructor, an ectoparasitic viral vector in Western honeybees, provides a unique opportunity to examine how a novel vector affects disease epidemiology in a host community. This specialist honeybee mite vectors deformed wing virus (DWV), an important re-emerging honeybee pathogen that also infects wild bumblebees. Comparing island honeybee and wild bumblebee populations with and without V. destructor, we show that V. destructor drives DWV prevalence and titre in honeybees and sympatric bumblebees. Viral genotypes are shared across hosts, with the potentially more virulent DWV-B overtaking DWV-A in prevalence in a current epidemic. This demonstrates disease emergence across a host community driven by the acquisition of a specialist novel transmission route in one host, with dramatic community level knock-on effects.
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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)
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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.