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451
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Dataset results
451 results for “Elasticity”
Data from: Use of elastic stability analysis to explain the stress-dependent nature of soil strength
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Data from: Anisotropic growth is achieved through the additive mechanical effect of material anisotropy and elastic asymmetry
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Data from: The cross-bridge spring: can cool muscles store elastic energy?
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Data from: Elasticity improves handgrip performance and user experience during visuomotor control
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Cancer cells optimize elasticity for efficient migration
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Data from: Changes in morphological and elastic properties of patellar tendon in athletes with unilateral patellar tendinopathy and their relationships with pain and functional disability
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Engineering nuclear elasticity to manipulate somatic cell fate [scRNA-seq]
GEO Series GSE224497. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
Engineering nuclear elasticity to manipulate somatic cell fate
GEO Series GSE224498. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Association of NOTCH3 with Elastic Fiber Dispersion in the Infrarenal Abdominal Aorta of Cynomolgus Monkeys
GEO Series GSE227434. Macaca fascicularis. 16 samples. Type: Expression profiling by high throughput sequencing.
Elastic Fibers Define Embryonic Tissue Stiffness to Enable Buckling Morphogenesis of the Small Intestine
GEO Series GSE237492. Gallus gallus. 9 samples. Type: Expression profiling by high throughput sequencing.
RNA-seq analysis of Jak2-V617F monocytes in elastic versus viscous fibrotic matrix
GEO Series GSE206771. Mus. 8 samples. Type: Expression profiling by high throughput sequencing.
Chromatin de-condensation by switching substrate elasticity
GEO Series GSE106166. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Matrix Elasticity Does Not Affect Replicative Senescence or DNA Methylation Patterns of Mesenchymal Stem Cells [DNAm profiling]
GEO Series GSE55888. Homo sapiens. 20 samples. Type: Methylation profiling by array.
Data for Stress fields around magma chambers influenced by elastic thermo-mechanical deformation: implications for forecasting chamber failure
<p>COMSOL model outputs as .txt files. as supplement to the paper: Stress fields around magma chambers influenced by elastic thermo-mechanical deformation: implications for forecasting chamber failure which has been submitted for publication in Scientific Reports. </p> <p> </p> <p> </p>
Role of saturation on elastic dispersion and attenuation of tight rocks: An experimental study
<p>Using the forced-oscillation method, we measure the dispersion of Young’s modulus, extensional attenuation, and Poisson’s ratio of tight sandstone and carbonate samples at seismic frequencies (1-1000 Hz) under a constant confining pressure of 20 MPa, and for a water saturation varying between 0% and 100%. The experimental data suggest that the dispersion of Young’s modulus and attenuation of tight rocks is significant in a broad frequency band spanning over 1-1000 Hz. A comparison with the high-porosity and high-permeability sample data shows a contrasting dispersion and attenuation characteristics. For the tight sandstone, Young’s modulus reaches a maximum dispersion of 16% at 60% water saturation, and a 13% dispersion at 100% saturation. Attenuation is insignificant in dry condition, and for water saturation 30%. In contrast with the peak attenuation occurring at very high water saturation (e.g. 80 - 100%) in partially saturated high-porosity rocks, peak attenuation of tight sandstone takes place at a water saturation of 60%. For the tight carbonate, the magnitude of dispersion (~3%) and attenuation are markedly lower for all saturation levels. In the explored frequency range (1 - 1000 Hz), Young’s modulus increases monotonously, and no obvious attenuation peak is observed when saturation levels are greater than 10%. Using well-established theoretical models based on physical properties and microstructure of the tested rocks, we suggest that the observed attenuation characteristics are possibly attributed to the combined physical mechanism of microscopic (squirt) flow, mesoscopic flow in partially saturated rock, and shear dispersion due to viscous flow in grain contacts.</p>
Supplemental material to 'The ratio of shear to elastic modulus of in-plane loaded masonry'
<p>This repository provides you with the files used to reproduce the content of the article:</p> <blockquote> <p>B.V. Wilding, M. Godio & K. Beyer (2020). The ratio of shear to elastic modulus of in-plane loaded masonry. Materials and Structures. https://doi.org/10.1617/s11527-020-01464-1</p> </blockquote>
Elastic Scattering of Electron in Neutral Plasma: Interaction Model and Plasma Environment Effects
<p>please see Elastic Scattering of Electron in Neutral Plasma: Interaction Model and Plasma Environment Effects</p>
Passive Discrete Lens for broadband elastic guided wave focusing
<pre>The videos present the wave propagation obtained numerically and experimentally in a plate using a passive discrete GRIN lens composed of 7 segments.</pre>
Data sets for "Fluid-like elastic response of superionic NH3 in Uranus and Neptune" by Kimura and Murakami
<p>This is the source data of Brillouin spectra shown in Fig. 1 for the article "Fluid-like elastic response of superionic NH3 in Uranus and Neptune" by Kimura and Murakami.</p>
Data from: Empirical Bayesian elastic net for multiple quantitative trait locus mapping
In multiple quantitative trait locus (QTL) mapping, a high-dimensional sparse regression model is usually employed to account for possible multiple linked QTLs. The QTL model may include closely linked and thus highly correlated genetic markers, especially when high-density marker maps are used in QTL mapping because of the advancement in sequencing technology. Although existing algorithms, such as Lasso, empirical Bayesian Lasso (EBlasso) and elastic net (EN) are available to infer such QTL models, more powerful methods are highly desirable to detect more QTLs in the presence of correlated QTLs. We developed a novel empirical Bayesian EN (EBEN) algorithm for multiple QTL mapping that inherits the efficiency of our previously developed EBlasso algorithm. Simulation results demonstrated that EBEN provided higher power of detection and almost the same false discovery rate compared with EN and EBlasso. Particularly, EBEN can identify correlated QTLs that the other two algorithms may fail to identify. When analyzing a real dataset, EBEN detected more effects than EN and EBlasso. EBEN provides a useful tool for inferring high-dimensional sparse model in multiple QTL mapping and other applications. An R software package 'EBEN' implementing the EBEN algorithm is available on the Comprehensive R Archive Network (CRAN).
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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.