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17 results for “spatiotemporal associations”
Spatiotemporal dynamics in freshwater amphipod assemblages are associated with surrounding terrestrial land use type - Dataset
<p>Biological assemblages are the result of dynamic processes that have explicit temporal and spatial dimensions. While biodiversity patterns can be directly inferred from the structure of these assemblages, an assessment of changes through time and space is needed to understand how organisms initially assembled and how they are responding to local environmental and biotic factors. Small freshwater streams are particularly affected by contemporary anthropogenic activities and biological invasions, yet are commonly less studied, as studies often focus on lakes and large streams. Here, we conducted a spatially explicit analysis of keystone shredder assemblages across eight years in twelve replicated small tributary streams. In each stream, we monitored multiple sites per km stream length. By assessing temporal beta diversity dynamics, defined by the gain or loss of species or abundance-per-species at individual sites, we show that changes in amphipod assemblages occur within the context of the surrounding terrestrial matrix and reflect recent amphipod colonization history. While amphipod composition was mostly constant in streams located in forested catchments, streams embedded in catchments with more extensive agricultural land use displayed more pronounced temporal changes, either driven by colonization of unoccupied upstream locations, or by more pronounced but undirected fluctuations in gains and losses of species or abundance-per-species. Our study thus suggests that agricultural landscapes might destabilize aquatic amphipod assemblages, causing higher temporal changes in community structures, and highlighting the vulnerability of aquatic ecosystems to terrestrial land use drivers.</p>
Data from: Spatiotemporal-social association predicts immunological similarity in rewilded mice
<p>Environmental influences on immune phenotypes are well-documented, but our understanding of which elements of the environment affect immune systems, and how, remains vague. Behaviors, including socializing with others, are central to an individual's interaction with its environment. We therefore tracked behavior of rewilded laboratory mice of three inbred strains in outdoor enclosures and examined contributions of behavior, including associations measured from spatiotemporal cooccurrences, to immune phenotypes. We found extensive variation in individual and social behavior among and within mouse strains upon rewilding. And we found that the more associated two individuals were, the more similar their immune phenotypes were. Spatiotemporal association was particularly predictive of similar memory T and B cell profiles and was more influential than sibling relationships or shared infection status. These results highlight the importance of shared spatiotemporal activity patterns and/or social networks for immune phenotype and suggest potential immunological correlates of social life.<span><br></span></p>
Land cover preferences and spatiotemporal associations of ungulates within a Scottish mammal community
<p>In the degraded and modified environment of the Scottish Highlands, novel ungulate communities have arisen following local extinctions, reintroductions, and the introduction of non-native species. An understanding of the dynamics and interactions within these unique mammal communities is important as many of these mammals represent keystone species with disproportionate impacts on the environment. Using a camera trap survey, we investigated land cover preferences and spatiotemporal interactions within a Scottish ungulate community: the sika deer (<em>Cervus nippon</em>), the roe deer (<em>Capreolus capreolus</em>), the red deer (<em>Cervus elaphus</em>), and the wild boar (<em>Sus scrofa</em>). We used generalised linear models to assess land cover preferences and the effect of human disturbance; spatiotemporal interactions were characterised using time interval modelling. We found sika deer and roe deer preferred coniferous plantations and grasslands, with sika deer additionally preferring woodland. For red deer, we found a slight preference for wetland over woodland; however, the explained variance was low. Finally, wild boar preferred grassland and woodland and avoided coniferous plantations, heathland, and shrubland. Contrary to our expectations, we found no evidence that human disturbance negatively impacted ungulates distributions, potentially because ungulates temporally avoid humans or because dense vegetation cover mitigates the impacts of humans on their distributions. Furthermore, we detected a spatiotemporal association between sika deer and roe deer. Although the underlying cause of this is unknown, we hypothesise that interactions such as grazing facilitation or an anti-predator response to culling could be driving this pattern. Our work provides a preliminary analysis of the dynamics occurring within a novel ungulate community, but also highlights current knowledge gaps in our understanding of the underlying mechanisms dictating the observed spatiotemporal associations.</p>
Land cover preferences and spatiotemporal associations of ungulates within a Scottish mammal community
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Data from: Spatiotemporal-social association predicts immunological similarity in rewilded mice
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Data from: Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia
Despite a long history of mosquito-borne virus epidemics in the Americas, the impact of the Zika virus (ZIKV) epidemic of 2015-2016 was unexpected. The need for scientifically informed decision-making is driving research to understand the emergence and spread of ZIKV. To support that research, we assembled a data set of key covariates for modeling ZIKV transmission dynamics in Colombia, where ZIKV transmission was widespread and the government made incidence data publically available. On a weekly basis between January 1, 2014 and October 1, 2016 at three administrative levels, we collated spatiotemporal Zika incidence data, nine environmental variables, and demographic data into a single downloadable database. These new datasets and those we identified, processed, and assembled at comparable spatial and temporal resolutions will save future researchers considerable time and effort in performing these data processing steps, enabling them to focus instead on extracting epidemiological insights from this important data set. Similar approaches could prove useful for filling data gaps to enable epidemiological analyses of future disease emergence events.
Exploring spatiotemporal dynamics of flower visitor association pattern on two Avicennia mangroves: A network approach
<p>All the data sets used in the analyses of this study are provided here along with the <strong>R-Script.</strong><br> The datasets for foraging behaviour and Generalized linear mixed models will be provided upon request to the first or corresponding author of this article.</p> <p><strong>Please note that, in this R-script, we have shown the codes only for one dataset of respective analyses.</strong><br> <strong>PLEASE NOTE: In this R-script, there are two minor mistakes, as follows:<br> 1) Line no. 46<br> Present code: </strong><strong>nulls <- nullmodel(I_S.network, N=1000, method=3) ##(3=Vaznull) ## file name mistake<br> Correct code: nulls <- nullmodel(AO_Site, N=1000, method=3) ##(3=Vaznull)</strong></p> <p><strong>2) Line no. 55<br> Present code: AO_Site_V<-AM_Site[,-1] ##Omitting individual coloumn(species) ## file name mistake<br> Correct code: AO_Site_V<-AO_Site[,-1] ##Omitting individual coloumn(species)</strong></p> <ul> <li><strong>Description of the data set</strong></li> </ul> <p>Data explorers the plant-flower visitor network with spatiotemporal approaches. Here, AM denotes <em>Avicennia marina </em>and AO denotes <em>Avicennia officinalis. </em>For the overall site-visitor network (combining all years and all time frames) datasets are AO_Site and AM_Site.</p> <p>For the overall visiting time-visitor network (combining all years and all sites) the datasets are AO_Time and AM_Time</p> <p>For the site-visitor networks on the yearly scale, the datasets are AO_2016, AO_2017, AO_2018, AM_2016, AM_2017 and AM_2018.</p> <p>For the site-specific visiting time-visitor networks the datasets are AO_Satjelia, AO_Bali, AO_Sagar, AO_Bakkhali, AM_Satjelia, AM_Bali, AM_Sagar and AM_Bakkhali.</p>
Data from: Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia
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Data from: Spatiotemporal dynamics of Puumala hantavirus associated with its rodent host, Myodes glareolus
Many viruses significantly impact human and animal health. Understanding the population dynamics of these viruses and their hosts can provide important insights for epidemiology and virus evolution. Puumala virus (PUUV) is a European hantavirus that may cause regional outbreaks of hemorrhagic fever with renal syndrome in humans. Here, we analyzed the spatiotemporal dynamics of PUUV circulating in local populations of its rodent reservoir host, the bank vole (Myodes glareolus) during eight years. Phylogenetic and population genetic analyses of all three genome segments of PUUV showed strong geographical structuring at a very local scale. There was a high temporal turnover of virus strains in the local bank vole populations, but several virus strains persisted through multiple years. Phylodynamic analyses showed no significant changes in the local effective population sizes of PUUV, although vole numbers and virus prevalence fluctuated widely. Microsatellite data demonstrated also a temporally persisting subdivision between local vole populations, but these groups did not correspond to the subdivision in the virus strains. We conclude that restricted transmission between vole populations and genetic drift play important roles in shaping the genetic structure and temporal dynamics of PUUV in its natural host which has several implications for zoonotic risks of the human population.
Data associated with the manuscript"Improvement of Stable Atmospheric Boundary Simulation with High-Spatiotemporal-Resolution Nudging over the North China Plain"
<p>The data includes sounding data and ground observation data, mainly used for reconstructing vertical high-resolution nudge modules</p>
Data from: Spatiotemporal dynamics and genome-wide association analysis of desiccation tolerance in Drosophila melanogaster
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Data from: Spatiotemporal dynamics of Puumala hantavirus associated with its rodent host, Myodes glareolus
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Data from: Spatiotemporal variability in the structure of seagrass meadows and associated macrofaunal assemblages in southwest England (UK): using citizen science to benchmark ecological pattern
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High-Spatiotemporal Resolution Observations of Jupiter Lightning-Induced Radio Pulses Associated With Sferics and Thunderstorms
<p><strong>Abstract:</strong><br> Jupiter lightning discharges produce various kinds of phenomena including radio wave pulses at different frequencies. On 6 April 2019, the Juno Waves instrument captured an extraordinary series of radio pulses at frequencies below 150 kHz on timescales of submilliseconds. Quasi-simultaneous multi-instrument data show that the locations of their magnetic footprints are very close to the locations of UHF sferics recorded by the Juno MWR instrument. Hubble Space Telescope images show that the signature of active convection includes cloud-free clearings, in addition to the convective towers and deep water clouds that were also recognized in previous spacecraft observations of lightning source regions. Furthermore, the detections of 17 VLF/LF radio pulses suggest a minimum duration of lightning processes on the order of submilliseconds. These observations provide new constraints on the physical properties of Jupiter lightning.</p> <p><strong>Note:</strong><br> This paper was published in Geophysical Research Letters (<a href="https://doi.org/10.1029/2020GL088397">https://doi.org/10.1029/2020GL088397</a>). This page provides the digital data for all figures in this paper; please read a readme file in each figure sub-directory.</p>
Spatiotemporal Associations Between the COVID-19 Pandemic and Cancer Diagnoses in Bavaria
ClinicalTrials.gov study NCT07008560. IPD Sharing: NO. Countries: 1. Publications: 0.
Spatiotemporal analysis of SARS-CoV-2 infection in hamster lungs reveals an expansive wave of monocyte-derived macrophages associated with vascular damage and virus clearance
GEO Series GSE225382. Mesocricetus auratus. 7 samples. Type: Expression profiling by high throughput sequencing.
Spatiotemporal transcriptome atlas of ovule development in gymnosperms reveals co-regulatory patterns of gene expression associated with polarity establishment
GEO Series GSE287157. Pinus tabuliformis; Cycas panzhihuaensis; Gnetum montanum; Ginkgo biloba. 10 samples. Type: Other.
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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.