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451 results for “Elasticity”
Data from: Muscle–spring dynamics in time-limited, elastic movements
Muscle contractions that load in-series springs with slow speed over a long duration do maximal work and store the most elastic energy. However, time constraints, such as those experienced during escape and predation behaviours, may prevent animals from achieving maximal force capacity from their muscles during spring-loading. Here, we ask whether animals that have limited time for elastic energy storage operate with springs that are tuned to submaximal force production. To answer this question, we used a dynamic model of a muscle–spring system undergoing a fixed-end contraction, with parameters from a time-limited spring-loader (bullfrog: Lithobates catesbeiana) and a non-time-limited spring-loader (grasshopper: Schistocerca gregaria). We found that when muscles have less time to contract, stored elastic energy is maximized with lower spring stiffness (quantified as spring constant). The spring stiffness measured in bullfrog tendons permitted less elastic energy storage than was predicted by a modelled, maximal muscle contraction. However, when muscle contractions were modelled using biologically relevant loading times for bullfrog jumps (50 ms), tendon stiffness actually maximized elastic energy storage. In contrast, grasshoppers, which are not time limited, exhibited spring stiffness that maximized elastic energy storage when modelled with a maximal muscle contraction. These findings demonstrate the significance of evolutionary variation in tendon and apodeme properties to realistic jumping contexts as well as the importance of considering the effect of muscle dynamics and behavioural constraints on energy storage in muscle–spring systems.
Parametric Resonance in Spherical Immersed Elastic Shells - Supplementary Material
<p>Supplementary material for "Parametric Resonance in Spherical Immersed Elastic Shells" published in SIAM Journal on Applied Mathematics. </p> <p>We provide data files for a benchmark fluid-structure interaction problem of a spherical elastic shell immersed in a viscous incompressible fluid.</p>
Non-Universal Impact of Cholesterol on Membranes: Mobility, Curvature Sensing, and Elasticity
<p><strong>Dataset repository - Non-Universal Impact of Cholesterol on Membranes: Mobility, Curvature Sensing, and Elasticity</strong></p> <p>==============================</p> <p>The repository contains setup files and parameter files for atomistic molecular dynamics (MD) simulations performed with the GROMACS 2020/2021/2023 series. Modified trajectories for the post-processing analysis are further included. The repositiory corresponds to the following manuscript:</p> <p><strong>Non-Universal Impact of Cholesterol on Membranes: Mobility, Curvature Sensing, and Elasticity</strong></p> <p><strong>Nature Comm. 14, 8038 (2023)</strong></p> <p>Matthias Pöhnl, Marius F.W. Trollmann, and Rainer A. Böckmann<br>Computational Biology, Department of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany<br>Erlangen National High-Perfomance Computing Center (NHR@FAU), Erlangen, Germany<br>*rainer.boeckmann@fau.de</p> <p>Corresponding author:</p> <p>* Rainer A. Böckmann (rainer.boeckmann@fau.de)</p> <p> </p> <p>For each simulation system, the start pdb (<em>'name'_start.pdb</em>), topology (<em>.top</em>), the simulation parameters (<em>.mdp</em>), the final pdb file (<em>'name'_end.pdb</em>) , and the simulation input file (<em>.tpr</em>) are provided in <a href="../api/records/10067080/draft/files/Membrane-Systems.zip/content">Membrane-Systems.zip</a>. The different studied systems are listed in '<a href="../api/records/10067080/draft/files/AA_Systems.pdf/content">AA_Systems.pdf' </a>and <a href="../api/records/10067080/draft/files/CG_Systems.pdf/content">CG_Systems.pdf. </a></p> <p>Additionally, the force field files are provided in <a href="../api/records/10067080/draft/files/FF-Charmm.zip/content">FF-Charmm.zip </a>and <a href="../api/records/10067080/draft/files/FF-Martini.zip/content">FF-Martini.zip.</a></p>
The Origin of the Lehmann Discontinuity beneath the Ancient Craton: Insight from the High Pressure-Temperature Elasticity Measurements of Topaz
<p>Data sets for the paper "The Origin of the Lehmann Discontinuity beneath the Ancient Craton: Insight from the High Pressure-Temperature Elasticity Measurements of Topaz".</p>
Influence of CoFeB layer thickness on elastic parameters in CoFeB/MgO heterostructures
<p>This is the dataset for the paper titled 'Influence of CoFeB layer thickness on elastic parameters in CoFeB/MgO heterostructures", published in Scientific Report.</p>
UNDERSTANDING HOOKE´S LAW: ELASTICITY OF PASTA
<p>Dataset for estimating the Young's modulus of spaghetti and their Yield Stress. Each column is labeled with the parameter measured and their units. The column highlighted in blue contains the Yield Stress data, as depicted in Figure 2b of the article. The columns highlighted in green represent the Young's modulus estimation for various cooking times, as depicted in Figure 2a of the article.</p>
Importance of ice elasticity in simulating tide-induced grounding line variations along prograde bed slopes
<p>Maslennikova_data.zip contains the Differential Interferometric Synthetic Aperture Radar (DInSAR) interferograms and the manually mapped grounding lines utilized for short-term tide-induced grounding line migrations analysis.</p>
To enhance CO2 saturation prediction from seismic data by joint use of attenuation and elastic properties: A machine learning approach
<p>Wang and Zhao submitted for GJI</p>
The elasticity of seifertite at lowermost mantle conditions: implication for velocities anomaly at the Earth's core-mantle boundary
<p>the open data of the study "<span>The elasticity of seifertite at lowermost mantle conditions: implication for</span><span> </span><span>velocities anomaly at the Earth's core-mantle boundary"</span></p>
Data for `Memory of elastic collisions drives high minority spin and oscillatory entropy in underdamped chiral spinners'
<p>This dataset contains the tracked trajectories of spinners for both 18-spinner and 36-spinner systems. The MATLAB code evaluation.m evaluates physical quantities including rotational and translational energies, angular velocity distribution, accumulative spin, and mixing entropy evolution from the tracked trajectories. To view a particular experiment, uncomment the loading command at the beginning of the code evaluation.m.</p>
Effect of the underlayer on the elastic parameters of the CoFeB/MgO heterostructures
Open the record for dataset details and reuse information.
Thin elastic films and membranes under rectangular confinement
<p>Supplementary data for the following manuscript: <span>A. R. Sprenger</span><span>, H. Reinken</span><span>, T. Richter</span> <span>and</span> <span>A. M. Menzel</span>, "<span>Thin elastic films and membranes under rectangular confinement</span>".</p>
Reproducibility Package for "ExpectAll: A BDD Based Approach for Link Failure Resilience in Elastic Optical Networks"
<p>This is a reproducibility package for the VMCAI'25 paper "ExpectAll: A BDD Based Approach for Link Failure Resilience in Elastic Optical Networks".</p> <p>Constantly growing demands on higher bandwidth and quality of service in modern communication networks motivate the introduction of fully optical network technologies that can eliminate the bottlenecks of optical to digital signal conversions. Recent advances in elastic optical networks enable fine-grained resource allocation technologies for traffic demands, which introduces the Routing and Spectrum Allocation (RSA) problem. In order to improve network resilience for multiple link failures while avoiding double light-spectrum allocation, we present Ex- pectAll---a novel approach and a tool for resilience and path/spectrum allocation based on binary decision diagrams (BDDs). Our method efficiently computes and stores all solutions to the RSA problem in the BDD data structure, facilitating optimal and fast failover protection for failure scenarios even with multiple failing links. ExpectAll surpasses the state- of-the-art methods in both the speed of finding a single optimal solution for a currently occurring failure scenario as well as in the preparation time required to precompute all optimal route and spectrum assignments.</p> <p> </p> <p> </p>
Supporting data for "Geodetic monitoring of elastic and inelastic deformation in compacting reservoirs due to subsurface operations"
<p>Supporting data for "Geodetic monitoring of elastic and inelastic deformation in compacting reservoirs due to subsurface operations" </p> <p>Yuexin Li1*, Mateo Acosta1, Krittanon Sirorattanakul1, Stephen Bourne2, and Jean-Philippe Avouac1</p> <p>1 Division of Geological and Planetary Sciences, California Institute of Technology, USA<br>2 Shell Global Solutions International, Amsterdam, The Netherlands</p> <p>Nov 2024<br>Contact: Yuexin Li (yuexinli@berkeley.edu, yuexinli.sar@gmail.com)</p> <p> </p> <p>This study was supported by the NSF/Industry-University Collaborative Research Center 'Geomechanics and Mitigation of Geohazards' (National Science Foundation award # 1822214), and the Enhancement Project GMG-3 funded by Nederlandse Aardolie Maatschappij (NAM). M.A acknowledges funding from the Swiss National Science Foundation through grant P2ELP2195127 and from Caltech’s Resnick sustainability institute. We would like to acknowledge NAM for granting the access and permitting to present the InSAR and GNSS data.</p>
Snap and Jump: How Elastic Shells Pop Out
<p>Experimental and simulation data for the paper (<a href="https://doi.org/10.48550/arXiv.2410.08525" target="_blank" rel="noopener">preprint version</a>). This Excel file comprises 11 sheets, each corresponding to the data in Figures 2(a), 2(b)-(e), 3(a-c), 4, and S2(a,b).</p>
Fano interference in quantum resonances from angle-resolved elastic scattering
<p>This is source data for the figures in the publication "Fano interference in quantum resonances from angle-resolved elastic scattering".</p>
Elastic Data Analytics for the Cloud-to-Things Continuum - Demo Video
<p>The massive deployment of Internet-connected devices has led to an increase in the collection of data that are then used by companies to improve their decision-making processes. This growing trend demands more and more cloud and communications infrastructure. The limited resources, the need of sharing them, and the fact that many consumers are interested in the same data call for an efficient management of the available resources. The cloud-to-thing continuum can be used to execute different analytics closer to the data source so infrastructure consumption and data circulation can be optimized. In this paper, different dimensions for achieving elastic analytics and a framework for dynamically modifying their behavior, is proposed.</p> <p>This artifact corresponds with a descriptive video of the framework presented in the paper. </p>
Elasticity and damping ratio measurement of droplets on super-hydrophobic surfaces
<p>The elasticity of the droplet refers to the ability of the droplet in restoring to its original shape and ensuring its strong robustness. The measurement of the droplets' elasticity is vitally important in understanding the characteristics and mechanism of the droplet jumping, spreading, and coalescence. In this paper, we measured the elasticity and damping ratio of droplets with different viscosity. A plate coated with a hydrophobic layer pressed on a droplet, and the elastic force was recorded by an electronic balance. Meanwhile, a mathematical model was constructed to illustrate the change rate of the droplet area with the elastic force. By comparing the influence of volume and viscosity on elasticity, the results showed that work done by pressure converts into surface energy. And the elasticity of the droplet is provided by the surface tension and the damping ratio increases from 0.068 to 0.261.</p>
Gradient-dynamics model for liquid drops on elastic substrates
<p>Data sets corresponding to the results shown in "Gradient-dynamics model for liquid drops on elastic substrates".<br> Additionally, the scripts the plots were produced with.</p>
"Robust Folding of Elastic Origami" Data Supplement
<p>Data sets for "Robust Folding of Elastic Origami", meant to be used with Mathematica notebooks provided at <a href="https://github.com/meleetrimble/robust-folding-paper-support">https://github.com/meleetrimble/robust-folding-paper-support</a>.</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.