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306 results for “mechanical modeling”

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zenodo36/100

Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism

<p>Code and data for our paper:</p> <p><a href="doi.org/10.3389/fninf.2024.1323203">Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism</a><br>Marvin Kaster, Fabian Czappa, Markus Butz-Ostendorf, Felix Wolf</p>

opencc-by-sa-4.0Aug 2023View details →
zenodo36/100

Data associated to the manuscript "Simulating the charging mechanism of a realistic nanoporous carbon-based supercapacitor using a fully polarizable model"

<p>Contains input files and data used to generate the figures of the article:</p> <p>Simulating the charging mechanism of a realistic nanoporous carbon-based supercapacitor using a fully polarizable model</p> <p>Camille Bacon, Patrice Simon, Mathieu Salanne and Alessandra Serva</p> <p><em>ChemRxiv, </em>10.26434/chemrxiv-2024-9577m, 2024</p> <p>The folder&nbsp;<em>input_files</em>&nbsp;contains typical MetalWalls input files used to perform the simulations.</p> <p>The folder&nbsp;<em>raw_data</em> contains the processed data used to plot all the figures of the paper.</p>

opencc-by-4.0Feb 2024View details →
zenodo36/100

Laboratory evidence supporting a mechanical model describing the dynamic formation of fault damage asymmetry (data)

<p>Data from the paper: Laboratory evidence supporting a mechanical model describing the dynamic formation of fault damage asymmetry</p> <p>This document includes the after-analysis data, where, the variable &quot;Log2by3M&quot; for the relative magnitude of AE events in the catalog, &quot;M&quot; for the coordinates of sensors, &quot;Mechanical&quot; for the raw mechanical loading information before synchronization, &quot;Notch&quot; for the coordinate of the notch on the beam, &quot;QuaLoc&quot; for the source location and time.&nbsp;</p>

opencc-by-4.0Jan 2022View details →
dryad36/100

Finite element models from: Mechanical compensation in the evolution of the early hominin feeding apparatus

<p>Australopiths, a group of hominins from the Plio-Pleistocene of Africa, are characterized by derived traits in their crania hypothesized to strengthen the facial skeleton against feeding loads and increase the efficiency of bite force production. The crania of robust australopiths are further thought to be stronger and more efficient than those of gracile australopiths.  Results of prior mechanical analyses have been broadly consistent with this hypothesis, but here we show that the predictions of the hypothesis with respect to mechanical strength are not met:  some gracile australopith crania are as strong as that of a robust australopith, and the strength of gracile australopith crania overlaps substantially with that of chimpanzee crania.  We hypothesize that the evolution of cranial traits that increased the efficiency of bite force production in australopiths may have simultaneously weakened the face, leading to the compensatory evolution of additional traits that reinforced the facial skeleton.  The evolution of facial form in early hominins can therefore be thought of as a trade-off between the need to increase the efficiency of bite force production and the need to maintain the structural integrity of the face.  This may have implications for interpreting cranial form in other vertebrates.</p>

opencc-zeroJun 2022View details →
zenodo36/100

Atmospheric hydroxyl distribution from the EMAC model (MOM kinetic chemistry mechanism)

<p>This dataset contains the output from the simulations with the EMAC model implementing the MOM kinetic chemistry mechanism presented in <a href="https://doi.org/10.5194/acp-16-12477-2016">Lelieveld et al. (2016)</a>&nbsp;study. In addition to the computed atmospheric hydroxyl (OH) and hydroperoxyl (HO2)&nbsp;radicals&nbsp;abundance distributions, we add related model fields facilitating usage/comparison of these results with other estimates.</p><p>The data containers format is netCDF v.4 (compressed); please refer to the container variables/attributes for the extended information. We present here the actual model output (weekly averages for the 2013−2014 period, in EMAC-MOM__*.nc) and the monthly "climatology" fields (average, SD, minima and maxima of the time steps falling in particular month, in EMAC-MOM__*--clim.nc, respectively).</p><p>See the .README.pdf file for additional notes.</p><p>Changes w.r.t. initial version from 2020/09/22:</p><p>2020/10/30: Updated attributes and DOIs&nbsp;in .nc/.jnl files, added OH "climatology", updated README.</p><p>2020/10/31: Updated description and "climatology" (SD fields were missing).</p><p>2022/06/19: Added hydroperoxyl (HO2) fields, updated species average concentration plot sample script.</p><p>2023/10/26: Dataset title adjusted for clarity</p>

opencc-by-3.0Jun 2022View details →
dryad36/100

Plant root growth against a mechanical obstacle: The early growth response of a maize root facing an axial resistance is consistent with the Lockhart model

<p>Plant root growth is dramatically reduced in compacted soils, affecting the growth of the whole plant. Through a model experiment coupling force and kinematics measurements, we probed the force-growth relationship of a primary root contacting a stiff resisting obstacle, that mimics the strongest soil impedance variation encountered by a growing root. The growth of maize roots just emerging from a corseting agarose gel and contacting a force sensor (acting as an obstacle) was monitored by time-lapse imaging simultaneously to the force.<br><br>The evolution of the velocity field along the root was obtained from kinematics analysis of the root texture with a PIV derived-technique. A triangular fit was introduced to retrieve the elemental elongation rate or strain rate. A parameter-free model based on the Lockhart law quantitatively predicts how the force at the obstacle modifies several features of the growth distribution (length of the growth zone, maximal elemental elongation rate, velocity) during the first 10 minutes. These results suggest a strong similarity of the early growth responses elicited either by a directional stress (contact) or by an isotropic perturbation (hyperosmotic bath).</p>

opencc-zeroJul 2022View details →
zenodo36/100

Does mechanical loading restore ligament biomechanics after injury? A systematic review of studies using animal models

<p>This RevMan file accompanies our manuscript entitled &quot;Does mechanical loading restore ligament biomechanics after injury? A systematic review of studies using animal models&quot; published in&nbsp;<em>BMC Musculoskeletal Disorders</em>.</p> <p>The file hosts all outcomes (i.e., including tertiary outcomes) under &quot;Data and analyses&quot;, as well as more detailed forest plots under &quot;Figures&quot;.&nbsp;&nbsp;</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

A novel technique to simulate and characterize a yarn's mechanical behavior based on a geometrical fiber model extracted from micro-CT imaging: geometry and simulation data

<p>This dataset contains the original µCT scan data, the scripts and intermediate results for the generation of the geometrical fiber model, as well as the structural simulation files and their experimental validation data described in the paper <a href="https://journals.sagepub.com/doi/10.1177/00405175221137009">"A novel technique to simulate and characterize a yarn's mechanical behavior based on a geometrical fiber model extracted from micro-CT imaging"</a>, published in Textile Research Journal.</p>

opengpl-3.0-or-laterOct 2022View details →
zenodo36/100

Mechanical model, TM1259 (Low res.)

Christopher Polhem (1661-1751) created the so-called mechanical alphabet in the years just before 1700. The wooden models illustrated the fundamentals of physics and mechanics and were intended to serve as an educational tool in teachings at the Laboratorium mechanicum established in 1697. After his death, the collection continued to serve as a didactic instrument and became part of the Swedish Royal Model Chamber. In 1925, the collection of 31 models was deposited at the newly established National Museum of Science and Technology. [TM1259](https://digitaltmuseum.se/021026544721/mekaniskt-alfabet-modell?i=29&amp;aq=owner%3A%22S-TEK%22+text%3A%22polhem%22"tm1259") (TEKS0013205) Created in RealityCapture by Fredrik Olsson from 294 images in 01h:17m:02s. Please note: No post processing have been done, holes may occur in mesh. Read more about [Polhem](https://en.wikipedia.org/wiki/Christopher_Polhem"polhem") on Wikipedia. Source: Objaverse 1.0 / Sketchfab

opencc-byJun 2017View details →
zenodo36/100

Figure 8. Exchange mutation.-Neuroevolution Mechanism for Hidden Markov Model

<p>Exchange two neighbor weights involved in a summation of 1.0. This is illustrated in Figure 8.</p>

opencc-by-4.0Jun 2011View details →
zenodo36/100

Data: Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy

<p>We provide the generalised&nbsp;fractional anisotropy connectometry database used in our study titled:&nbsp;<em>Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy.</em></p>

opencc-by-4.0Jan 2019View details →
zenodo36/100

Model output: Unraveling the mechanisms that cause cyclic channel-shoal dynamics of ebb-tidal deltas: a numerical modeling study

<p>Output from model runs for Lenstra et al., &ldquo;Unraveling the mechanisms that cause cyclic channel-shoal dynamics of ebb-tidal deltas: a modeling study&rdquo;. The dataset contains two types of model output, namely (1) the default model runs and (2) the sensitity runs with waves+tides, waves only, and tides only.</p> <p>The files covering the default model runs&nbsp;contain:</p> <p>ModeledDays&nbsp; &nbsp; &nbsp; - &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; time vector for the depth series [days]</p> <p>XT&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; east-west location of grid points high resolution domains [m]</p> <p>YT&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; north-south location of grid points high resolution domains [m]</p> <p>depth&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; depth series for the high resolution domains [m]</p> <p>XSea&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; east-west location of grid points outer sea domain [m]</p> <p>YSea&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; north-south location of grid points outer sea domain [m]</p> <p>depthSea&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; depth series for the outer sea domain [m]</p> <p>XBasin&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; east-west location of grid points basin domain [m]</p> <p>YBasin&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; north-south location of grid points basin domain [m]</p> <p>depthBasin&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; depth series for the basin domain [m]</p> <p>ST_Days&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; time vector for the sediment transport series [days]</p> <p>ST_Inlet &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;-&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;tidally-averaged total sediment transport through the inlet (positive seaward) [10<sup>6</sup> m<sup>3</sup>/year]</p> <p>ST_Up&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;- &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; tidally-averaged total sediment transport through the cross-section at the updrift coast (positive eastward) [10<sup>6</sup> m<sup>3</sup>/year]</p> <p>ST_Down &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; - &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; tidally-averaged total sediment transport through the cross-section at the downdrif coast (positive eastward) [10<sup>6</sup> m<sup>3</sup>/year]</p> <p>The files covering the sensitivity&nbsp;runs&nbsp;contain for the high resolution domains:</p> <p>XT&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; east-west location of grid points [m]</p> <p>YT&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; north-south location of grid points [m]</p> <p>TA_STX&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; east-west component of the tidally-averaged total sediment transport [m<sup>3</sup>/s/m]</p> <p>TA_STY&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; north-south component of the tidally-averaged total sediment transport [m<sup>3</sup>/s/m]</p> <p>TA_U&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; east-west component of the tidally-averaged flow velocities&nbsp;[m/s]</p> <p>TA_V&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; north-south component of the tidally-averagedf low velocities&nbsp;[m/s]</p> <p>M2&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; -&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; amplitude of the semi-diurnal tidal flow velocities (not for wave only runs)&nbsp;[m/s]&nbsp;&nbsp; &nbsp;&nbsp;</p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

T2* and quantitative susceptibility mapping in an equine model of post-traumatic osteoarthritis: prediction of mechanical and structural properties

<p>Dataset for the manuscript titled &quot;T2* and quantitative susceptibility mapping in an equine model of post-traumatic osteoarthritis: assessment of mechanical and structural properties&quot;</p>

opencc-by-4.0Jul 2019View details →
zenodo36/100

New insights into the driving mechanism of the mid-Eocene (43 Ma) tectonic transition in the western Pacific margin—A case study of stress field modeling in Pingbei

<p><span>This is the dataset for "</span> <span>New insights into the driving mechanism of the mid-Eocene (43 Ma) tectonic transition in the western Pacific margin&mdash;A case study of stress field modeling in Pingbei" including modeling parameters and raw results.</span></p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Simulation data of Schmidt et al., An Electro-Chemo-Mechanic Model Resolving Delamination between Components in Complex Microstructures of Solid-State Batteries, 2024, DOI: https://doi.org/10.1149/1945-7111/ad76dc

<p>This data set includes the simulation results of the relevant simulations published in the paper: "Schmidt et al., An Electro-Chemo-Mechanic Model Resolving Delamination between Components in Complex Microstructures of Solid-State Batteries, 2024, DOI: https://doi.org/10.1149/1945-7111/ad76dc".</p> <p>Please refer to the paper for the details of the model as well as the parameterization of the model for the respective simulations.</p> <p>The data is provided in a zip archive. After extracting you find a short README.txt with further hints on the structure and available data.</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

A 3D multi-cellular tissue model of the human omentum to study mechanisms of ovarian cancer metastasis

<p>Here, the design of 3D multi-cellular tissue model of the human omentum is presented to study mechanisms of ovarian cancer metastasis.</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

Supplemental material to 'A variational rigid-block modelling approach to nonlinear elastic and kinematic analysis of failure mechanisms in historic masonry structures subjected to lateral actions'

<p>This&nbsp;repository contains the data necessary to reproduce the content of the article:</p> <blockquote> <p>A variational rigid-block modelling approach to nonlinear elastic and kinematic analysis of failure mechanisms in historic masonry structures subjected to lateral actions (2021). Earthquake Engineering &amp; Structural Dynamics, 1&ndash;23. <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/eqe.3512">https://doi.org/10.1002/eqe.3512</a></p> </blockquote> <p>The file <strong>01_Dataset.zip</strong> contains the dataset. The companion document <strong>00_Dataset_description.pdf&nbsp;</strong>describes the content of the dataset, guiding&nbsp;the analyst to its use in order to (i) reproduce the article&#39;s results and (ii) compare the article&#39;s results to new results brought by the analyst, e.g. by comparison with other numerical models.</p> <p>Version history</p> <p>v2: updated references in 00_dataset description.pdf&nbsp;&nbsp;</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

Mechanical behaviour of inorganic solid-state batteries: Can we model the ionic mobility in the electrolyte with Nernst-Einstein's relation?

<p>(Top left) Governing forces given by Nernst-Einstein&rsquo;s relationship, where the forward electric force is in a dynamic equilibrium with the backward viscous force. (Bottom left) The dynamic viscosity is a measure of the fluid resistance to flow. (Right) For brittle inorganic solid electrolytes characterised by cracks formation and electrolyte fracture, the stress-strain relationship before the electrolyte fracture can be approximated as linear.</p>

opencc-by-4.0Oct 2021View details →
zenodo36/100

Supplementary Dataset for "A new mechanical perspective on a shallow megathrust near-trench slip from the high- resolution fault model of the 2011 Tohoku-Oki earthquake"

<p>This dataset contains the results obtained by the analysis in this study, such as the digital data of the slip distribution and stress drop estimated by Kubota et al.(2022)</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Ice Mechanics for 1-D Lake Models

<p>These files are in support of a submission to Geophysical Research Letters by M. MacKay entitled<br> &quot;Ice Concentration Scaling Laws for Freshwater Lakes in Numerical Weather and Climate Prediction&quot;</p>

opencc-by-4.0Mar 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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