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1,868 results for “Spatial Data”
Data from: Spatially correlated extinctions select for less emigration but larger dispersal distances in the spider mite Tetranychus urticae
Dispersal is a central process to almost all species on earth, as it connects spatially structured populations and thereby increases population persistence. Dispersal is subject to (rapid) evolution and local patch extinctions are an important selective force in this context. In contrast to the randomly distributed local extinctions considered in most theoretical studies, habitat fragmentation or other anthropogenic interventions will lead to spatially correlated extinction patterns. Under such conditions natural selection is thought to lead to more long-distance dispersal, but this theoretical prediction has not yet been verified empirically. We test this hypothesis in experimental spatially structured populations of the spider mite Tetranychus urticae and supplement these empirical results with insights from an individual-based evolutionary model. We demonstrate that the spatial correlation of local extinctions changes the entire distribution of dispersal distances (dispersal kernel) and selects for overall less emigration but more long-distance dispersal.
Data from: Spatial structure of ecological opportunity drives adaptation in a bacterium
Abundant ecological opportunity is thought to drive adaptation and diversification. The presence of multiple opportunities leads to divergent selection, which can slow adaptation when niche-specific beneficial mutations have antagonistically pleiotropic effects. Alternately, competition for multiple opportunities can generate divergent selection leading to high rates of adaptive differentiation. Which outcome occurs may depend on the spatial structure of those ecological opportunities. In a mixture of resources, competition for multiple opportunities can drive divergent selection; however if each resource is available in a spatially distinct patch, competition for multiple opportunities simultaneously cannot occur. We report the effects of extent and spatial structure of ecological opportunity on the evolutionary dynamics of populations of Pseudomonas fluorescens over 1000 generations. We varied extent of ecological opportunity by varying the number of sugar resources (mannose, glucose, and xylose), and varied spatial structure by providing resources in either mixtures, or spatially distinct patches. We saw that a particularly novel resource (xylose) drove the rate of adaptation when in a mixture but had no effect on diversity. Instead we saw the evolution of a single adaptive strategy that differed with respect to phenotype and degree of specialization, depending on both the extent and spatial structure of ecological opportunity.
Data from: Spatially variable habitat quality contributes to within-population variation in reproductive success
Variation in habitat quality is common across terrestrial, freshwater, and marine habitats. We investigated how habitat quality influenced the reproductive potential of mud crabs across 30 oyster reefs that were degraded to different extents. We further coupled this field survey with a laboratory experiment designed to mechanistically determine the relationship between resource consumption and reproductive performance. We show a >10-fold difference in average reproductive potential for crabs across reefs of different quality. Calculated consumption rates for crabs in each reef, based on a type II functional response, suggest that differences in reproductive performance may be attributed to resource limitation in poor quality reefs. This conclusion is supported by results of our laboratory experiment where crabs fed a higher quality diet of abundant animal tissue had greater reproductive performance. Our results demonstrate that spatial variation in habitat quality can be a considerable contributor to within-population individual variation in reproductive success (i.e., demographic heterogeneity). This finding has important implications for assessing population extinction risk.
Data for: Density dependence and spatial heterogeneity limit the population growth rate of invasive pines at the landscape scale
<p class="MsoBodyText"><span><span><span><span><span><span><span><span><span><span><span>Determining population growth across large scales is difficult because it is often impractical to collect data at large scales and over long timespans. Instead, the growth of a population is often only measured at a small, plot-level scale and then extrapolated to derive a mean field estimate. However, this approach is prone to error since it simplifies spatial processes such as the neighbourhood effects of density and dispersal. We present a novel approach that estimates how spatial processes derived from the effects of density and dispersal affect population growth between plot scales and landscape scales. The method is based on a scale transition theory and calculates a transition term to measure the spatial scaling of population growth, which we extend to unstable, expanding populations in order to assess whether landscape-scale population dynamics are different from those estimated at smaller spatial scales. We illustrate this approach using aerial imagery of eight locations in New Zealand experiencing non-native pine invasions. Analyses examined the dynamics at a plot scale (1 hectare) and compared this to estimates across entire landscapes (between 24 and 1600 hectares), in several cases for more than one time period. We used a Bayesian spatial random effects model to examine population growth and to account for neighbourhood effects and dispersal between plots in a rapidly changing system. </span></span></span></span></span></span></span></span></span></span></span></p> <p class="MsoBodyText"><span><span><span><span><span><span><span><span><span><span><span>We found that the estimates of the scale transition term were typically 10-25% of the mean field estimates, which led to mean field estimates of population growth extrapolated from plots being considerably higher than landscape estimates. The approach we have developed will not only have applications for predicting the populations' growth of invasive species, but also for studies examining the scaling of landscape-scale phenomena.</span></span></span></span></span></span></span></span></span></span></span></p>
Data used for submission entitled "A spatial analysis of Multiplayer Online Battle Arena mobility traces"
<p>A mobility trace dataset for the popular Multiplayer Online Battle Arena game "Heroes of Newerth"</p>
A large ensemble of spatially and annually averaged CESM CAM 100-year data
This repository contains data from an ensemble of 100-year runs on the Cheyenne computer at NCAR. The purpose of this data set is to allow an investigation of how different variables are affected by software and hardware modifications at different time scales. The data was produced by a CESM 1.3 series tag using the CAM5 model version described in Kay et al. (2015). The simulations are CESM startup runs using a present-day F compset (active atmosphere and land, data ocean, and prescribed ice concentration), CAM5 physics at approximately 1 degree latitude/longitude resolution, and the spectral element dynamical core. The output contains CAM data from 147 simulations each with a 100-year time series (100 time points) of 134 variables. Of the 147 runs, 139 are control runs that differ only by an order double precision perturbation to the initial temperature, where 114 were from an Intel compilation and 25 from a GNU compilation. The remaining 8 runs are so-called test runs, each with a single modification (e.g., single parameter, compiler, minor code change) changed relative to the control runs. The simulations originally output monthly data. The modestly sized dataset released here is a result of annually averaging the monthly files, and then spatially averaging the annual averages over the grid. Each of the 147 NetCDF files corresponding to a single simulation contains the variable names and a matrix of 100 years of annual averages for each variable.
Supplementary Materials for article entitled 'On Italian Spatial Prepositions and Measure Phrases: Reconciling Data with Theoretical Accounts', published in Linguistics
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Data and Code for "3D flightpaths reveal the development of spatial memory in wild hummingbirds"
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IF and SCRINSHOT image data of probe set selection for targeted spatial transcriptomics
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Supplementary digital data for Exposure of Insects to Current Use Pesticide Residues in Soil and Vegetation along Spatial and Temporal Distribution in Agricultural Sites
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Data for manuscript 'Spatial Characteristics and Dynamic Mechanisms of the Antarctic Slope Current in the Ross Sea'
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Data from: Sex-determining 3D regulatory hubs revealed by genome spatial auto-correlation analysis
<p>Mammalian sex is determined by opposing networks of ovarian and testicular genes that are well characterized. However, its epigenetic regulation is still largely unknown, thus limiting our understanding of a fundamental process for species propagation. Here we explore the 3D chromatin landscape of sex determination <em>in vivo</em>, using <em>METALoci</em>, a novel genome spatial auto-correlation analysis.</p> <p><strong>Extended Data File 1: Coordinates for HH metaloci in each sample.</strong></p> <p>The EDFile1_H3K27ac_HH_metaloci_per_gene.zip file contains four files named:</p> <ul> <li>XX10.5_H3K27ac_HH_metaloci_per_gene.bed</li> <li>XX13.5_H3K27ac_HH_metaloci_per_gene.bed</li> <li>XY10.5_H3K27ac_HH_metaloci_per_gene.bed</li> <li>XY13.5_H3K27ac_HH_metaloci_per_gene.bed</li> </ul> <p>Each BED file contains the following columns tab separated:</p> <ul> <li>chr Chromosome</li> <li>start Start coordinates</li> <li>end End coordinates</li> <li>MetaLociBinNumber Number of the bin in the METALoci layout</li> <li>GeneSymbol Gene symbol</li> </ul> <p> </p> <p><strong>Extended Data File 2: Coordinates bins in METALoci with ATAC-seq accessible peak targeted by TF.</strong></p> <p>The EDFile2_TF_ATAC_ML_Sites.zip file contains four files named:</p> <ul> <li>XX10.5_TF_ATAC_ML_Sites.tsv</li> <li>XX13.5_TF_ATAC_ML_Sites.tsv</li> <li>XY10.5_TF_ATAC_ML_Sites.tsv</li> <li>XY13.5_TF_ATAC_ML_Sites.tsv</li> </ul> <p>Each TSV file contains the following columns tab separated:</p> <ul> <li>chr Motif site chromosome </li> <li>start Motif site start coordinates </li> <li>end Motif site end coordinates</li> <li>bin Hi-C bin number</li> <li>pchr ATAC site chromosome</li> <li>pstart ATAC site start coordinates</li> <li>pend ATAC site end coordinates</li> <li>gene Gene symbol</li> </ul>
Data and results of opscr demographic and spatial projection models
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Data from: Spatial variation in bidirectional pollinator-mediated interactions between two co-flowering species in serpentine plant communities
<p>Pollinator-mediated competition and facilitation are two important mechanisms mediating co-flowering community assembly. Experimental studies, however, have mostly focused on evaluating outcomes for a single interacting partner at a single location. Studies that evaluate spatial variation in the bidirectional effects between co-flowering species are necessary if we aim to advance our understanding of the processes that mediate species coexistence in diverse co-flowering communities. Here, we examine geographic variation (i.e., at landscape level) in bidirectional pollinator-mediated effects between co-flowering <em>Mimulus guttatus</em> and <em>Delphinium uliginosum</em>. We evaluated effects on pollen transfer dynamics (conspecific and heterospecific pollen deposition) and plant reproductive success. We found evidence of asymmetrical effects (one species is disrupted and the other one is facilitated) but the effects were highly dependent on geographical location. Furthermore, effects on pollen transfer dynamics did not always translate to effects on overall plant reproductive success (i.e., pollen tube growth) highlighting the importance of evaluating effects at multiple stages of the pollination process. Overall, our results provide evidence of a spatial mosaic of pollinator-mediated interactions between co-flowering species and suggest that community assembly processes could result from competition and facilitation acting simultaneously. Our study highlights the importance of experimental studies that evaluate the prevalence of competitive and facilitative interactions in the field, and that expand across a wide geographical context, in order to more fully understand the mechanisms that shape plant communities in nature.</p>
Data set for "Overstory dynamics regulate the spatial variability in forest-floor CO2 fluxes across a managed boreal forest landscape"
<p>This data set is a compilation of forest stand characteristics, forest-floor environmental conditions, soil properties, ecosystem carbon stocks, and annual forest-floor CO<sub>2</sub> fluxes. The data set is composed by 3-year mean annual values obtained from biometric- and chamber-based flux measurements conducted during the period 2016–2018. Negative values of forest-floor CO<sub>2</sub> fluxes indicate carbon uptake and positive values indicate carbon release. Data were collected in 50 forest stands within the Krycklan Catchment Study (<a href="https://www.slu.se/Krycklan">https://www.slu.se/Krycklan</a>), a multi-scale long-term monitored boreal catchment spanning 68 km<sup>2</sup> in northern Sweden. Selected forest stands encompassed different soil types (sediment vs. till), dominant tree species (pine vs. spruce), and age classes (from initiation to old-growth stands).</p> <p>Variables, units, and definitions are found in the 1_metadata_Martínez-García_et_al._forest-floor_CO2_fluxes.xlsx file</p> <p>More details can be found in Martínez-García et al. (2022) Overstory dynamics regulate the spatial variability in forest-floor CO<sub>2</sub> fluxes across a managed boreal forest landscape. Agricultural and Forest Meteorology. 318: 108916. <a href="https://doi.org/10.1016/j.agrformet.2022.108916">https://doi.org/10.1016/j.agrformet.2022.108916</a></p> <p>Contact information:</p> <p>Ph.D. Eduardo Martínez García (<a href="mailto:eduardo.martinez@slu.se">eduardo.martinez@slu.se</a>, <a href="mailto:edu.martinez.garcia@gmail.com">edu.martinez.garcia@gmail.com</a>)</p> <p>Professor Matthias Peichl (<a href="mailto:matthias.peichl@slu.se">matthias.peichl@slu.se</a>)</p> <p>Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Skogsmarksgränd 17, SE-901 83, Umeå, Sweden</p>
Data from: Trait-environment relationships could alter the spatial and temporal characteristics of aquatic insect subsidies at the macrospatial scale
<p>Ecological flows across ecosystem boundaries are typically studied at spatial scales that limit our understanding of broad geographical patterns in ecosystem linkages. Aquatic insects that metamorphose into terrestrial adults are important resource subsidies for terrestrial ecosystems. Traits related to their development and dispersal should determine their availability to terrestrial consumers. Here, we synthesize geospatial, aquatic biomonitoring and biological traits data to quantify the relative importance of several environmental gradients on the potential spatial and temporal characteristics of aquatic insect subsidies across the contiguous United States. We found the trait composition of benthic macroinvertebrate communities varies among hydrologic regions and could affect how aquatic insects transport subsidies as adults. Further, several trait-environment relationships were underpinned by hydrology. Large bodied taxa that could disperse further from the stream were associated with hydrologically stable conditions. Alternatively, hydrologically variable conditions were associated with multivoltine taxa that could extend the duration of subsidies with periodic emergence events throughout the year. We also found that anthropogenic impacts decrease the frequency of individuals with adult flight but potentially extend the distance subsidies travel into the terrestrial ecosystem. Collectively, these results suggest that natural and anthropogenic gradients could affect aquatic insect subsidies by changing the trait composition of benthic macroinvertebrate communities. The conceptual framework and trait-environment relationships we present shows promise for understanding broad geographical patterns in linkages between ecosystems.</p>
Data from: Dynamics of bird assemblages in response to temporally and spatially variable resources in arid Australia
<p>Bird assemblages in arid Australia are often characterised as being highly variable through time in response to boom and bust dynamics, although the importance of habitat in structuring assemblages at a local scale is also recognised. We use a novel approach to investigate the importance of rainfall variability in structuring bird assemblages in a resource-limited environment. Monthly bird surveys were conducted at ten plots for eight years at a botanical and zoological park in central Australia, including five irrigated plots within a fenced area and five natural plots outside. Irrigation – used to promote growth, flowering, and fruiting of plants – created an artificial resource-enhanced environment against which the response of birds to natural fluctuations in season and rainfall were compared. Species richness was generally maintained at a higher level in resource-enhanced plots during dry times but was higher in natural sites when rainfall was high, mainly due to increases in granivores and insectivores. Honeyeaters were consistently more abundant at irrigated sites. Rainfall was important in structuring bird assemblages at all plots; however, assemblages were more stable in irrigated plots and did not respond as dramatically to a period of very high rainfall. The comparative smoothing of fluctuations in the composition and abundance of birds in irrigated areas highlights the importance of primary productivity, normally tied to rainfall, in driving temporal change in arid-zone bird communities. There was also evidence that different plots in differing habitats supported distinct bird assemblages and that this spatial distinctiveness persisted irrespective of rainfall and determined, to some extent, the response to rainfall. Our study is one of few long-term studies of arid bird assemblages and highlights the importance of both long-term cycles of productivity driven by rain and season as well as site differences in the dynamics of arid zone bird communities. These insights are particularly valuable as climate change further exacerbates rainfall variability worldwide and initiatives to conserve avifauna in increasingly extreme environments may be required.</p>
Data from: Spatial familial networks to infer demographic structure of wild populations
<p class="List1">In social species, reproductive success and rates of dispersal vary among individuals resulting in spatially structured populations. Network analyses of familial relationships may provide insights on how these parameters influence population-level demographic patterns. These methods have however rarely been applied to genetically-derived pedigree data from wild populations.</p> <p class="List1">Here we use parent-offspring relationships to construct familial networks from polygamous boreal woodland caribou (<i>Rangifer tarandus caribou</i>) in Saskatchewan, Canada, to inform recovery efforts. We collected samples from 933 individuals at 15 variable microsatellite loci along with caribou-specific primers for sex identification. Using network measures, we assess the contribution of individual caribou to the population with several centrality measures and then determine which measures are best suited to inform on the population demographic structure. We investigate the centrality of individuals from eighteen different local areas, along with the entire population.</p> <p class="List1">We found substantial differences in centrality of individuals in different local areas, that in turn contributed differently to the full network, highlighting the importance of analyzing networks at different scales. The full network revealed that boreal caribou in Saskatchewan form a complex, interconnected familial network, as the removal of edges with high betweenness did not result in distinct subgroups. Alpha, betweenness, and eccentricity centrality were the most informative measures to characterize the population demographic structure and for spatially identifying areas of highest fitness levels and family cohesion across the range. We found varied levels of dispersal, fitness and cohesion in family groups.</p> <p class="List1"><i>Synthesis and applications</i>: Our results demonstrate the value of different network measures in assessing genetically-derived familial networks. The spatial application of the familial networks identified individuals presenting different fitness levels, short and long-distance dispersing ability across the range in support of population monitoring and recovery efforts.</p>
Data from: Anderson lab experiments from synthesizing the effects of spatial network structure on predator prey dynamics
<p>Predator-prey persistence is thought to be enhanced by spatial heterogeneity. Theory predicts that metacommunity size, spatial connectivity, network synchrony, predator identity, and productivity influence predator-prey persistence, through a variety of mechanisms such as statistical stabilization, colonization-extinction dynamics, and trophic interactions. However, comparative tests and synthesis of the multiple factors and mechanisms across different spatial networks are needed to understand which factors and mechanisms of spatial network structure promote predator-prey persistence. To address this gap between theory and empirical work, we synthesized data from 22 microcosm experiments of protist predator-prey communities differing the productivity, connectivity, and size of spatial habitat structure. Prey time to extinction was better explained by productivity and spatial factors than predator time to extinction. At the local and regional scale, metacommunity size and productivity had positive effects on prey occupancy, whereas connectivity negatively influenced prey occupancy. For predators, metacommunity size and connectivity had positive effects on predator occupancy, network synchrony had negative influences, and productivity showed a hump-shaped relationship with predator occupancy. Further, trophic interactions drove variation in the way species were spatially structured, where the strength and direction of predator and prey occupancy relationships varied among productivity levels and predator-prey combinations. In predator-prey interactions that were stronger, prey occupancy showed negative relationship with predator occupancy regardless of productivity. However, in predator-prey interactions that were weaker, prey occupancy was positively related to predator occupancy at low productivity, and this relationship disappeared at higher productivity treatments where prey occupancy was high regardless of predator occupancy. Predictions from metapopulation theory explained predator occupancy, while prey were better explained by trophic dynamics. Taken together, these results highlight that spatial network structure has a complex, spatially contingent relationship with predator-prey dynamics.</p>
Supplementary data to Geographic patterns of vascular plant diversity and endemism using different taxonomic and spatial units
<p>The zip file includes a series of 72 raster maps in ascii format depicting the spatial distribution of the geographic boundaries of Chile for three biodiversity indices, four spatial resolutions and three taxonomic units based on both specimen data and species distribution models. Filenames of maps generated with species distribution models are prefixed with "SDM". Otherwise, all maps were named using the following codes for biodiversity indices, spatial resolutions and taxonomic units.</p> <p><strong>Biodiversity indices</strong>:</p> <p>TR: Taxon Richness</p> <p>WE: Weighted Endemism</p> <p>TT: Taxon Turnover</p> <p><strong>Spatial resolutions</strong>:</p> <p>100km, 75km, 50km and 25km on a side of a grid-cell</p> <p><strong>Taxonomic units</strong>:</p> <p>SP: Species</p> <p>GEN: Genus</p> <p>OTU: Operational Taxonomic Units</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.