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525 results for “Displace”
Data from: Genomic-wide displacement and shift of the hybrid zone in the Japanese fire-bellied newt
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Occupation, violence, and displacement in the West Bank
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Data from: Limited role of character displacement in the coexistence of congeneric Anelosimus spiders in a Madagascan montane forest
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Data from: Short-term disturbance by a commercial two-dimensional seismic survey does not lead to long-term displacement of harbour porpoises
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Data from: A species-specific multigene family mediates differential sperm displacement in Drosophila melanogaster
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Beyond pairwise interactions: multispecies character displacement in Mexican freshwater fish communities
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Data from: Genetic accommodation in the wild: evolution of gene expression plasticity during character displacement
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Data from: Reproductive character displacement shapes a spatially structured petal color polymorphism in Leavenworthia stylosa
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Data from: Perceived impact of community kitchens on the food security of Syrian refugees and kitchen workers in Lebanon: Qualitative evidence in a displacement context
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Data from: Directional mitochondrial introgression and character displacement due to reproductive interference in two closely related Pterostichus ground beetle species
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Data from: Divergence in female damselfly sensory structures is consistent with a species recognition function but shows no evidence of reproductive character displacement
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Spatially displaced excitation contributes to the encoding of interrupted motion by the retinal direction-selective circuit
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Rapid colour shift by reproductive character displacement in Cupido butterflies
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Climatic displacement exacerbates the negative impact of drought on plant performance and associated arthropod abundance
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Influences of reinforcement and displacement rate on microstructure, mechanical properties and fracture behaviors of cylinder-head aluminum alloy
<p>In the present work, the material microstructure, mechanical properties and fracture behaviors of cylinder-head aluminum alloys were experimentally investigated under different displacement rates and with and without the reinforcement. By the addition of nano-clay-particles and the heat treatment, it was tried to improve mechanical properties of the base material. For this objective, after the fabrication of as-cast and nano-composite samples, respectively by gravity and stir-casting; tensile testing was done on standard samples at the displacement rate of 0.1, 1 and 10 mm/min. Then, the sensitivity analysis was performed on experimental data to find quantitatively effects of two parameters of the reinforcement and the displacement rate. In addition, the optical microscopy and the field-emission scanning electron microscopy were utilized for the microstructure and the fracture surface, plus the energy dispersive X-ray analysis. Obtained results indicated that the microstructure of the aluminum alloy was finer due to the reinforcement. Besides, both the ultimate strength and the elongation enhanced. The regression analysis implied that the strength was sensitive only to the reinforcement. Although the elongation was sensitive to both the reinforcement and the displacement rate. Investigations of fracture surfaces showed brittle behaviors with cleavage and quasi-cleavage marks.</p>
GInSAR vertical surface displacements over the San Joaquin Valley, CA spanning April 2015 to October 2017
<p>A time series of vertical surface displacements over the San Joaquin Valley (SJV) spanning April 2015 to October 2017.</p> <p>Base Data: European Space Agency’s Sentinel-1A/B descending track 144; National Science Foundation Plate Boundary Observatory Global Positioning System (GPS) network; Southern California Earthquake Center’s Community Geodetic Model</p> <p>Time: 2015.04.01 – 2017.10.23, 51 acquisition times, 263 interferograms</p> <p>Processors/Software: GMTSAR, MATLAB</p> <p>Interferogram construction and unwrapping was performed in GMTSAR. GPS correction, time series inversion, and vertical projection was performed in MATLAB.</p> <p> </p> <p>This dataset was constructed following similar methods outlined in Neely et al., (2020).</p> <p>Neely, Wesley R., Adrian A. Borsa, and Francesca Silverii. “GInSAR: A CGPS Correction for Enhanced InSAR Time Series.” <em>IEEE Transactions on Geoscience and Remote Sensing</em> 58, no. 1 (January 2020): 136–46. <a href="https://doi.org/10.1109/TGRS.2019.2934118">https://doi.org/10.1109/TGRS.2019.2934118</a>.</p> <p> </p> <p>This dataset is provided as a “.mat” compatible with MATLAB. Contents include:</p> <p>TS – 3110x2940x51 matrix of the vertical surface displacements (mm) relative to April 1, 2015</p> <p>X – 3110x2940 matrix of the pixel longitudes (decimal degrees)</p> <p>Y – 3110x2940 matrix of the pixel latitudes (decimal degrees)</p> <p>rate – 3110x2940 matrix of the estimated vertical velocity (mm/yr) over April 2015 to October 2017</p> <p>time – 51x1 array of the dates for each acquisition in MATLAB data. Provided as integer day where time(1) = 736055 à April 1, 2015</p> <p> </p> <p>Example plotting in MATLAB:</p> <p>% plot the rate map</p> <p>figure</p> <p>pcolor(X,Y,rate)</p> <p>shading flat</p> <p> </p> <p>% plot the 25<sup>th</sup> time slice map of the displacement time series</p> <p>figure</p> <p>pcolor(X,Y,squeeze(TS(:,:,25))</p> <p>shading flat</p> <p> </p> <p>% plot the time series at location X(1500,1500) and Y(1500,1500)</p> <p>figure</p> <p>plot(time,squeeze(TS(1500,1500,:)))</p>
Phylogeographic analysis of character displacement in feeding phenotypes of snail-feeding Acoptolabrus ground beetles: Morphological measurements
<p>Ecological character displacement predicts that interspecific resource competition results in greater trait divergence between species in sympatry than in allopatry. In this study, we characterize character displacement in 8 species of snail-feeding <i>Acoptolabrus</i> ground beetles (Coleoptera, Carabidae, genus <em>Carabus</em>) in the Far East. <i>Acoptolabrus</i> exhibit divergent feeding phenotypes, including species with a slender forebody for intruding large shells and species with stout heads and mandibles for crushing small shells. Distance measurements (in mm) deposited here are for evaluating body shape variation among 8 <em>Acoptolabrus</em> species.</p>
Data from: Belowground competition favors character convergence but not character displacement in root traits
<p>1. Character displacement can play a major role in species ecology and evolution, however, research testing whether character displacement can influence the evolution of root traits in plant systems remains scarce in the literature. Here we investigated the potential that character displacement may influence the evolution of root traits using two closely related morning glory species, <i>Ipomoea purpurea</i> and <i>I. hederacea</i>.</p> <p>2. We performed a field experiment where we grew the common morning glory, <i>I. purpurea</i>, in the presence and absence of competition from <i>I. hederacea</i> and examined the potential that the process of character displacement could influence the evolution of root traits.</p> <p>3. We found maternal line variation in root phenotypes and evidence that belowground competition acts as an agent of selection on these traits. Our test of character displacement, however, showed evidence of character <i>convergenc</i>e on our measure of root architecture rather than <i>displacement</i>. These results suggest that plants may be constrained by their local environments to express a phenotype that enhances fitness. Therefore, the conditions of the competitive environment experienced by a plant may influence the potential for character convergence<i> </i>or displacement to influence the evolution of root traits.</p>
Data from: Reliability-based weighting of visual and vestibular cues in displacement estimation
When navigating through the environment, our brain needs to infer how far we move and in which direction we are heading. In this estimation process, the brain may rely on multiple sensory modalities, including the visual and vestibular systems. Previous research has mainly focused on heading estimation, showing that sensory cues are combined by weighting them in proportion to their reliability, consistent with statistically optimal integration. But while heading estimation could improve with the ongoing motion, due to the constant flow of information, the estimate of how far we move requires the integration of sensory information across the whole displacement. In this study, we investigate whether the brain optimally combines visual and vestibular information during a displacement estimation task, even if their reliability varies from trial to trial. Participants were seated on a linear sled, immersed in a stereoscopic virtual reality environment. They were subjected to a passive linear motion involving visual and vestibular cues with different levels of visual coherence to change relative cue reliability and with cue discrepancies to test relative cue weighting. Participants performed a two-interval two-alternative forced-choice task, indicating which of two sequentially perceived displacements was larger. Our results show that humans adapt their weighting of visual and vestibular information from trial to trial in proportion to their reliability. These results provide evidence that humans optimally integrate visual and vestibular information in order to estimate their body displacement.
Data from: High-dimensional variance partitioning reveals the modular genetic basis of adaptive divergence in gene expression during reproductive character displacement
Although adaptive change is usually associated with complex changes in phenotype, few genetic investigations have been conducted of adaptations that involve sets of high dimensional traits. Microarrays have supplied high-dimensional descriptions of gene expression, and phenotypic change resulting from adaptation often results in large-scale changes in gene expression. We demonstrate how genetic analysis of large-scale changes in gene expression generated during adaptation can be accomplished by determining by high-dimensional variance partitioning within classical genetic experimental designs. A microarray experiment conducted on a panel of recombinant inbred lines (RILs) generated from two populations of Drosophila serrata that have diverged in response to natural selection, revealed genetic divergence in 10.6% of 3762 gene products examined. Over 97% of the genetic divergence in transcript abundance was explained by only 12 genetic modules. The two most important modules, explaining 50% of the genetic variance in transcript abundance, were genetically correlated with the morphological traits that are known to be under selection. The expression of three candidate genes from these two important genetic modules was assessed in an independent experiment using qRT-PCR on 430 individuals from the panel of RILs, and confirmed the genetic association between transcript abundance and morphological traits under selection.
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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.