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470 results for “spatial pattern”
Data from: Drivers and spatial patterns of avian defaunation in tropical forests
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Spatial patterns of seed removal by harvester ants in a seed tray experiment
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Data for: Using spatial patterns of seeds and saplings to assess the prevalence of heterospecific replacements among cloud forest canopy tree species
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A spatial atlas of the complement system uncovers unique expression patterns in postnatal brain development in mice
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Niche suitability and spatial distribution patterns of anurans in a unique Ecoregion mosaic of Northern Pakistan
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Behavioral strategies and the spatial pattern formation of nesting
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A moving window analysis for exploring landscape and geologic controls on spatial patterning of streambank groundwater discharge
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Data from: The spatial patterns of community composition, their environmental drivers and their spatial scale dependence vary markedly between fungal ecological guilds
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Effects of phylogenetic distance, niche overlap and habitat alteration on spatial co-occurrence patterns in Neotropical bats and birds
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Plant size and spatial pattern in a natural population of Myosotis micrantha
This dataset was created for examining the spatial distribution of plant size in a natural plant population, and for understanding the processes which govern the same. A winter annual species, Myosotis stricta (formally known as Myosotis micrantha), was chosen for this purpose. Data collection was carried on the campus of Stony Brook University (Stony Brook, NY, USA) in May 1988, along a 700 cm x 20 cm transect. It was found that a size hierarchy existed in this plant population. Plants lacking immediate conspecific neighbors were larger than plants with one or more near neighbours, suggesting that competition from near neighbours depressed plant size. However, there was a strong positive spatial autocorrelation in plant size: large plants were associated with large neighbours and small ones with small neighbors. Plant size was also positively correlated with the combined biomass of near neighbors. Thus, the population formed a two-phase mosaic of patches of relatively large plants alternating with patches of smaller plants. These results were published in the paper titled Plant size and spatial pattern in a natural population of Myosotis micrantha (Wilson and Gurevitch, 1995).
Spatial patterns of understory vegetation and soil in an Alaskan upland boreal forest fire chronosequence. Three sites located in Delta Junction Alaska. Soil sampled during summer 2007
In this study we used geostatistics to characterize the spatial heterogeneity of soil carbon and nitrogen pools, microbial respiration, microbial biomass, nitrogen mineralization, soil moisture, soil pH, depth of organic horizon and forest floor covers and understory vegetation abundances in three sites (1999, 1987 and 1920 wildfires) of a boreal forest chronosequence of Interior Alaska (near Delta Junction). Soil sampling and vegetation measurements occured during summer 2007.
Spatial and temporal patterns of habitat use and availability in upper Coweeta Creek from 1996 to 1998
I collect data describing total depth, mean current velocity and substrate characteristics (% - silt, debris, sand, gravel, cobble, boulder and bedrock) at 100 random points along 1 m transects within each 100 m site. Data are collected seasonally to investigate spatial and temporal patterns of habitat variability in upper Coweeta Creek. Flow data will be used to elucidate whether changes in habitat characteristics are correlated with high flow events.
Utilising quadrat.count and quadrat.test to understand metal axes as spatial point patterns
<p>As part of a Master's thesis, the spatial distribution and density of metal axes found by private metal detectorists were assessed in relation to different covariates: soil type, soil texture, land cover and estimated preservation capacity (Kibblewhite et al. 2016). The data derives from England and Wales (Portable Antiquities Scheme), Denmark (Digitale Metaldetektorfund) and the Netherlands (Portable Antiquities Scheme). Calculations were performed with the functions 'quadrat.count', 'intensity.quadratcount' and 'quadrat.test' in R. There are three separate .Rmd files per country, each refering to a particular covariable.</p>
Stochastic pulsing of gene expression enables the generation of spatial patterns in Bacillus subtilis biofilms
<p>Data extracted from confocal microscopy associated with the paper "Stochastic pulsing of gene expression enables the generation of spatial patterns in Bacillus subtilis biofilms"</p> <p>Stochastic pulsing of gene expression can generate phenotypic diversity in a genetically identical population of cells, but it is unclear whether it has a role in the development of multicellular systems. Here, we show how stochastic pulsing of gene expression enables spatial patterns to form in a model multicellular system, Bacillus subtilis bacterial biofilms. We use quantitative microscopy and time-lapse imaging to observe pulses in the activity of the general stress response sigma factor σ<sup>B</sup> in individual cells during biofilm development. Both σ<sup>B</sup> and sporulation activity increase in a gradient, peaking at the top of the biofilm, even though σ<sup>B</sup> represses sporulation. As predicted by a simple mathematical model, increasing σ<sup>B</sup> expression shifts the peak of sporulation to the middle of the biofilm. Our results demonstrate how stochastic pulsing of gene expression can play a key role in pattern formation during biofilm development.</p>
Data from: Spatial patterns and rarity of the white-phased 'Spirit Bear' allele reveals gaps in habitat protection
<p>Preserving genetic and phenotypic diversity can help safeguard not only biodiversity but also cultural and economic values.</p> <p>Here, we present data that emerged from Indigenous-led research at the intersection of evolution and ecology to support conservation planning of a culturally salient, economically valuable, and rare phenotypic variant. We addressed three conservation objectives for the white-phased 'Spirit bear' polymorphism, a rare and endemic white-coated phenotype of black bear (Ursus americanus) in Kitasoo/Xai'xais and Gitga'at Territories and beyond in coastal British Columbia, Canada. First, we used non-invasively collected hair samples (n = 385 bears over ~18,000 km<sup>2</sup>) to assess the spatial variation in the frequency of the allele that controls the white-coloured morph (mc1r). Second, we compared our observed allele frequencies at mc1r with those expected under Hardy-Weinberg equilibrium. Finally, we examined how well current protected areas in the region aligned with spatial hotspots of Spirit bear alleles.</p> <p>We found that landscape-level allele frequency was lower than previously reported. For example, our systematic sampling estimated a frequency of 0.25 (95% CI 0.13-0.41) on Gribbell Island compared with the previously reported estimate of 0.56. Also, in contrast with previous reports, we failed to detect a statistically significant departure from Hardy-Weinberg equilibrium at mc1r, which calls into question the previously-posited role of homozygote gene flow, heterozygote disadvantage, and positive assortative mating in the maintenance of this polymorphism. Finally, we found a discrepancy between the placement of protected areas and the 90th percentile hotspots (upper 10% of all estimated values) of Spirit bear alleles, with ~50% of hotspots falling outside of protected areas.</p> <p>These results provide new insight into hypotheses related to the maintenance of this rare polymorphism, and directly relevant information to support evidence-based opportunities for Indigenous Nations of the area to attend to gaps in conservation planning.</p>
Data from: Spatial patterning of soil microbial communities created by fungus-farming termites
<p><span><span><span><span><span><span><span><span><span><span><span>Spatially overdispersed mounds of fungus-farming termites (Macrotermitinae) are hotspots of nutrient availability and primary productivity in tropical savannas, creating spatial heterogeneity in communities and ecosystem functions. These termites influence the local availability of nutrients in part by redistributing nutrients across the landscape, but the links between termite ecosystem engineering and the soil microbes that are the metabolic agents of nutrient cycling are little understood. We used DNA metabarcoding of soils from <i>Odontotermes montanus</i> mounds to examine the influence of termites on soil microbial communities in a semi-arid Kenyan savanna. We found that bacterial and fungal communities were compositionally distinct in termite-mound topsoils relative to the surrounding savanna, and that bacterial communities were more diverse on mounds. The higher microbial alpha and beta diversity associated with mounds created striking spatial patterning in microbial community composition, and boosted landscape-scale microbial richness and diversity. Selected enzyme assays revealed consistent differences in potential enzymatic activity, suggesting links between termite-induced heterogeneity in microbial community composition and the spatial distribution of ecosystem functions. We conducted a large-scale field experiment in which we attempted to simulate termites' effects on microbes by fertilizing mound-sized patches; this altered both bacterial and fungal communities, but in a different way than natural mounds. Elevated levels of inorganic nitrogen, phosphorus, and potassium may help to explain the distinctive fungal communities in termite-mound soils, but cannot account for the distinctive bacterial communities associated with mounds.</span></span></span></span></span></span></span></span></span></span></span></p>
Figure 1 in Patterns of spatial variability of mobile macro-invertebrate assemblages within a Posidonia oceanica meadow
Figure 1. Map of Pianosa Island. Stars indicate the study areas.
Data from: Beta diversity patterns of bats in the Atlantic Forest: how does the scale of analysis affect the importance of spatial and environmental factors?
<p>Aim: Environmental and spatial factors are broadly recognized as important predictors of beta diversity patterns. However, the scale at which beta diversity patterns are evaluated will affect the outcoming results. For example, studies at larger scales will usually find spatial processes as the main predictor of beta diversity patterns. In this study we evaluate how beta diversity patterns change when analyses are conducted at different scales by reducing the scale of analysis in a hierarchical manner.</p> <p>Taxon: Chiroptera.</p> <p>Location: Atlantic Forest biome.</p> <p>Methods: Information on the occurrence of 59 bat species were obtained from the Atlantic Bats and Species Link database. We partitioned beta diversity into its two components (nestedness and turnover), and calculated these indexes hierarchically: the biome in its entirety (all ecoregions); between larger regions (north, central and south); and between ecoregions within each region. We performed a Generalized Dissimilarity Model (GDM) to identify and predict the turnover of bat species in the Atlantic Forest based on geo-climatic predictors. We obtained 19 geo-climatic data from AMBDATA, an environmental dataset based on different data sources commonly used in species distribution modeling.</p> <p>Results: We found that turnover was the main component influencing a latitudinal gradient when the biome was analysed in its entirety. However, when the scale of the analysis was reduced, we found that species loss (nestedness component) had a large effect in determining beta diversity dissimilarity. We also found that nestedness was the main pattern explaining beta diversity dissimilarity along a longitudinal gradient.</p> <p>Main conclusions: Beta diversity patterns changed with the scale of analysis, which indicates that bat species composition does not follow the same pattern throughout the Atlantic Forest. This corroborates the importance of analysing beta diversity patterns at different scales in order to understand how environmental dissimilarity across geographic space can influence species distribution patterns.</p>
Data from: Spatial and temporal patterns of environmental DNA detection to inform sampling protocols in lentic and lotic systems.
<p>The development of efficient sampling protocols for the capture of environmental DNA (eDNA) could greatly help improve accuracy of occupancy monitoring for species that are difficult to detect. However, the process of developing a protocol in situ is complicated for rare species by the fact that animal locations are often unknown. We tested sampling designs in lake and stream systems to determine the most effective eDNA sampling protocols for two rare species: the Sierra Nevada yellow-legged frog (<i>Rana sierrae</i>) and the foothill yellow-legged frog (<i>R. boylii</i>). We varied water volume, spatial sampling, and seasonal timing in lakes and streams; in lakes we also tested multiple filter types. We found that filtering 2 L versus 1 L increased the odds of detection in streams 5.42X (95% CI: 3.2-9.19X) in our protocol, from a probability of 0.51 to 0.85 per technical replicate. Lake sample volumes were limited by filter clogging and we found no effect of volume or filter type. Sampling later in the season increased the odds of detection in streams by 1.96X for every 30 days (95% CI: 1.3 - 2.97X) but there was no effect for lakes. Spatial autocorrelation of the quantity of yellow-legged frog eDNA captured in streams between 100 and 200 m, indicating that sampling at close intervals is important.</p>
Host spatial structure and disperser activity determine mistletoe infection patterns
<p><span>What processes and factors are responsible for species distribution are long-standing questions in ecology and a key element for conservation and management. Mistletoes provide the opportunity to study a forest species whose occurrence is expected to be constrained by multiple factors as a consequence of their life form. We studied the mistletoe <i>Tristerix corymbosus</i> (Loranthaceae) on its most common hosts species in northwest Patagonia. The seeds of this mistletoe are almost exclusively dispersed by the small arboreal and endemic marsupial <i>Dromiciops gliroides</i> (Microbiotheridae). We assessed the underlying causes of plant spatial patterns through point pattern analysis and we used different variables that characterize the neighborhood around each host to analyze the relative effect of host availability, potential for disperser movement, and canopy light conditions. We found that potential hosts were strongly aggregated and that the three most common host species were distributed independent of each other. Considering all host species together, infected and non-infected host were individually aggregated but segregated from each other. The aggregated pattern of infected hosts could be explained in part by the template of potential hosts distribution, but was subsequently modulated by the activity of the mistletoe disperser. Potential for disperser movement, the proximity to reproductive mistletoes and habitat complexity, increased mistletoe infection probability. However, neighboring host availability decreased mistletoe infection probability, and tree DBH (used as surrogate for light conditions) had no detectable effect. Our results suggested that the distribution of mistletoe infection was determined by the structure of potential host populations and by the marsupial disperser activity. Compared to bird dispersed mistletoes, the scale of the infection was smaller and the proximity to reproductive mistletoes and habitat complexity were important for seed arrival and infection. The interplay between landscape structure and disperser activity determine the spatial structure of mistletoe future generations. </span></p>
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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.