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238 results for “Space use”
Replication data for: Mapping oak wilt disease from space using land surface phenology
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Territoriality drives patterns of fixed space use in Caribbean parrotfishes
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Droughts reshape apex predator space use and intraguild overlap
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Landscape composition and life‐history traits influence bat movement and space use: Analysis of 30 years of published telemetry data
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Effects of food supplementation and helminth removal on space use and spatial overlap in wild bank vole populations
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Variation in herbivore space use: comparing two savanna ecosystems with different anthrax outbreak patterns in southern Africa
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PIE LTER location and sample dates for sites used in space for time sea level rise study, Rowley, MA.
This dataset contains the GPS-ed locations of the quadrats used for the 2017-2018 Space for Time substitution experiment in tidal creek marshes off the Rowley River and Plum Island Sound in Rowley Massachusetts. The space for time study uses an intensive and comprehensive approach to compare low elevation, Spartina alterniflora marsh areas to higher elevation Spartina patens marsh areas. Other related data files include: HTL-RO-ST-MAR-Biomass, HTL-RO-ST-MAR-Birds, HTL-RO-ST-MAR-Quads, HTL-RO-ST-MAR-Sediments, HTL-RO-ST-MAR-Bites, HTL-RO-ST-MAR-Sticky, HTL-RO-ST-MAR-Decomp, HTL-RO-ST-MAR-Traps, HTL-RO-ST-MAR-Deep_pitfalls
PIE LTER bird observations associated with marsh sites used in space for time sea level rise study, Rowley, MA.
This dataset contains observations of birds foraging at high and low tide at space for time substition plots in tidal creek marshes off the Rowley River and Plum Island Sound in Rowley Massachusetts. The space for time study uses an intensive and comprehensive approach to compare low elevation, Spartina alterniflora marsh areas to higher elevation Spartina patens marsh areas. Birds were observed using timed interval observations, with one sampling bout per tide per site. Other related data files include: HTL-RO-ST-MAR-Sites, HTL-RO-ST-MAR-Biomass, HTL-RO-ST-MAR-Quads, HTL-RO-ST-MAR-Sediments, HTL-RO-ST-MAR-Bites, HTL-RO-ST-MAR-Sticky, HTL-RO-ST-MAR-Decomp, HTL-RO-ST-MAR-Traps, HTL-RO-ST-MAR-Deep_pitfalls
PIE LTER predation and herbivory rates associated with marsh sites used in space for time sea level rise study, Rowley, MA.
This dataset contains aggregated observations of predation and herbivory rates on tethered bait in each quadrat of the space for time substitution observations in salt marsh sites in Rowley and Newbury, MA.
FCA-estimated wind using EAR spaced antenna
<p>Dataset for horizontal wind estimation using EAR spaced antenna from configuration 1, 2, 3, 4, and 5.</p> <p>These are the output from FCA method. </p>
Data and code for: Time of night and moonlight structure vertical space use by insectivorous bats in a Neotropical rainforest: an acoustic monitoring study
<p>Abstract</p> <p>Previous research has shown diverse vertical space use by various taxa, highlighting the importance of forest canopy. Yet, we often fail to explore how this three-dimensional space use changes over time. Here we use canopy tower systems in French Guiana to monitor neotropical bat activity above and below the forest canopy throughout nine nights in the wet season. We show that different bats use both canopy and understory space differently, and that this can change throughout the night. We find that bats are overall more active in the canopy, but multiple species/acoustic complexes are more active in the understory. We also find that species that do not seem to prefer understory or canopy, when data are aggregated by night, do show temporally changing preferences in hourly activity. This work highlights the need to consider temporal axes in studies of space use, both throughout daily cycles and across seasons.</p>
Spatial and temporal dynamics of space use by free-ranging domestic dogs Canis familiaris in rural Africa
<p>Variation in the spatial ecology of animals influences the transmission of infections and so understanding host behaviour can improve the control of diseases. Despite the global distribution of free-ranging domestic dogs <i>Canis familiaris</i> and their role as reservoirs for zoonotic diseases, little is known about the dynamics of their space use. We deployed GPS loggers on free-ranging dogs from six villages in rural Chad, and tracked the movements of 174 individuals in the dry season and 151 in the wet season. We calculated 95% and core home ranges using auto-correlated kernel density estimates (AKDE<sub>95</sub> and AKDE<sub>core</sub>), determined the degree to which their movements were predictable, and identified correlates of movement patterns. The median AKDE<sub>95 </sub>range in the dry season was 0.54km<sup>2</sup> and in the wet season was 0.31km<sup>2</sup>, while the median AKDE<sub>core </sub>range in the dry season was 0.08km<sup>2</sup> and in the wet season was 0.04km<sup>2</sup>. Seasonal variation was, in part, related to owner activities. Dogs from hunting households had ranges that were five times larger in the dry season. At least 70% of individuals were more predictably 'at home' (<50m from the household) throughout the day in the dry season. 80% of dogs demonstrated periodicity in activity levels (speed) and just over half the dogs exhibited periodicity in location (repeated space use). In the wet season, dogs mostly exhibited 24-hour cycles in activity and location, with peaks at midday. In the dry season, dogs exhibited both 12 and 24-hour cycles, with either a single peak at midday, or one peak between 6am and 12 noon and a second between 6 and 10pm. Strategies to control canine-mediated zoonoses can be improved by tailoring operations to the local spatial ecology of free-ranging dogs. Interventions using a door-to-door strategy in rural Chad would best conduct operations during the dry season, when access to dogs around their household more reliably exceeds 70% throughout the day. Given the importance of use in hunting for explaining variation in dog space-use, targeting approaches to disease control at the household level on the basis of owner activities offers potential to improve access to dogs.</p>
Data from: Implications of shared predation for space use in two sympatric leporids
Spatial variation in habitat riskiness has a major influence on the predator–prey space race. However, the outcome of this race can be modulated if prey shares enemies with fellow prey (i.e., another prey species). Sharing of natural enemies may result in apparent competition, and its implications for prey space use remain poorly studied. Our objective was to test how prey species spend time among habitats that differ in riskiness, and how shared predation modulates the space use by prey species. We studied a one‐predator, two‐prey system in a coastal dune landscape in the Netherlands with the European hare (Lepus europaeus) and European rabbit (Oryctolagus cuniculus) as sympatric prey species and red fox (Vulpes vulpes) as their main predator. The fine‐scale space use by each species was quantified using camera traps. We quantified residence time as an index of space use. Hares and rabbits spent time differently among habitats that differ in riskiness. Space use by predators and habitat riskiness affected space use by hares more strongly than space use by rabbits. Residence time of hare was shorter in habitats in which the predator was efficient in searching or capturing prey species. However, hares spent more time in edge habitat when foxes were present, even though foxes are considered ambush predators. Shared predation affected the predator–prey space race for hares positively, and more strongly than the predator–prey space race for rabbits, which were not affected. Shared predation reversed the predator–prey space race between foxes and hares, whereas shared predation possibly also released a negative association and promoted a positive association between our two sympatric prey species. Habitat riskiness, species presence, and prey species' escape mode and foraging mode (i.e., central‐place vs. noncentral‐place forager) affected the prey space race under shared predation.
Expanding the space of self-reproducing ribozymes using probabilistic generative models
<p>This repository contains the code and data produced in "Expanding the space of self-reproducing ribozymes using probabilistic generative models".</p>
Factors influencing space-use and kill distribution of sympatric lion prides in a semi-arid savanna landscape
<p>In this study, Global Positioning System collar data and logistic regression were used to investigate space-use and kill distribution among three lion prides at Malilangwe Wildlife Reserve, Zimbabwe. The R statistical platform was used to perform logistic regression analysis to determine the effects of the environmental variables on the outcome of each pride's ranging behaviour. <i>Presence/Kill probability </i>(presence or absence) was used as a response variable while<i> distance to water, shrub canopy volume</i>, <i>soil depth</i> and <i>clay content</i> were treated as fixed effects.</p>
Ocean Heat Content Anomalies in the North Atlantic based on mapping Argo data using local Gaussian processes defined over space
<p>Monthly Ocean Heat Content Anomalies (OHCA) in the top 2000 dbar of the ocean are calculated (during 2005-2022, in the North Atlantic, north of 20N) subtracting the time mean over the period 2005-2021 from the monthly time series of OHC. OHC fields are mapped using a locally stationary Gaussian process (defined over space) with data-driven decorrelation scales (Kuusela and Stein, 2018). A linear time trend was included in the estimate of the mean field (along with spatial terms and harmonics for the annual cycle). In this product, mapping is done in latitude and longitude with monthly subsets of data. Mapping is done separately for different vertical sections: 15-20 dbar, 15-300 dbar, 300-700 dbar, 700-1850 dbar, 1800-1850 dbar. The 15-20 dbar (1800-1850 dbar) section is used to estimate OHCA for 0-15 dbar (1850-2000 dbar), where observations are sparser. Different vertical sections are combined to estimate global OHCA for 0-2000 dbar. Regions of the ocean that are shallower than 300 m or are not sufficiently well sampled by the Argo array are not included. </p>
V2 - Space use of invertebrates in terrestrial habitats: phylogenetic, functional and environmental drivers of interspecific variations
<p>VERSION 2</p>
Digisonde Data files used for JGR-Space Physics paper "A simplified method of true height analysis to estimate the real height of sporadic E layers"
<p>paper submitted for publication in JGR-Space Physics.</p> <p>Digisonde Data files used for analysis</p> <p> </p> <p>A simplified method of true height analysis to estimate the real height of sporadic E layers</p> <p> </p> <p>Christos Haldoupis</p> <p>Department of Physics, University of Crete, Heraklion, Greece</p> <p>Haris Haralambous</p> <p>Frederick University and Frederick Research Center, Nicosia, Cyprus</p> <p>Chris Meek</p> <p>Institute of Space and Atmospheric Studies, University of Saskatchewan, Saskatoon, SK, Canada</p>
Prediction of COVID-19 case numbers using state-space modeling and wastewater virus datasets
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Data from: N-mixture models estimate abundance reliably: a field test on Marsh Tit using time-for-space substitution
<p>Imperfect detection in field studies on animal abundance, including birds, is common and can be corrected for in various ways. The binomial N-mixture (hereafter binmix) model developed for this task is widely used in ecological studies owing to its simplicity: it requires replicated count results as the input. However, it may overestimate abundance and be sensitive to even small violations of its assumptions. We used a 33-year dataset on the Marsh Tit, Poecile palustris, a sedentary forest passerine, from Białowieża Forest, Poland to validate inference from binmix models by comparing model-estimated abundances to the true number of breeding pairs within the plots, determined by exhaustive population study. The abundance estimates, derived from six springtime (April-May) counts of males on each plot in each year, were highly reliable: 116 out of 132 year-plot estimates (88%) included the true number of pairs within the 95% confidence intervals. Over- and underestimations were thus rare and similarly frequent (9 and 12 cases, respectively), with a tendency to overestimate at low densities and underestimate at high densities. Marsh Tits sing rarely but the frequency of countersinging increases with abundance, leading to non-independence in detections. When accounted for in a submodel for detection, the per-survey number of countersinging events positively affected detection probability but only weakly affected abundance estimates. Simulations further demonstrate that this property, overestimation at low densities and underestimation at high densities, may be a systematic bias of binmix model even if density-dependent detection is absent. While the behaviour of binmix models in specific situations requires more study, we conclude that these models are a valid tool to estimate abundance reliably when intensive population monitoring is not feasible.</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.