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1,670 results for “FORCE”
Research data supporting: "A Data-Driven Dimensionality Reduction Approach to Compare and Classify Lipid Force Fields"
<p>This repository contains the data used in the paper of Capelli <em>et al. </em>"A Data-Driven Dimensionality Reduction Approach to Compare and Classify Lipid Force Fields", published on Journal of Physical Chemistry B (DOI: 0.1021/acs.jpcb.1c02503).<br> <br> The archive traj_processed.tar.gz contains the trajectories converted in xyz format with the dimensions of the box.</p> <p>The archive trajectories_xtc.tar.gz contains the raw trajectories (of the membranes without solvent) in gromacs xtc format with a .tpr binary file. <br> </p>
Data for "From Langmuir Turbulence to Supercells: the Role of Longitudinal Alignment between Surface and Bottom Forcing"
<p>The files here contains the data shown in the article. The main part of data can be find in v4. v5 include a new result of conditional averaged turbulent kinetic energy.</p>
Data from: Gardner-like crossover from variable to persistent force contacts in granular crystals
<p>We report experimental evidence of a Gardner-like crossover from variable to persistent force contacts in a two-dimensional, bidisperse granular crystal by analyzing the variability of both particle positions and force networks formed under uniaxial compression. Starting from densities just above the freezing transition, and for variable amounts of additional compression, we compare configurations to both their own initial state, and to an ensemble of equivalent, reinitialized states. This protocol shows that force contacts are largely undetermined when the density is below a Gardner-like crossover, after which they gradually transition to being persistent, being fully so only above the jamming point. We associate the disorder that underlies this effect to the size of the microscopic asperities of the photoelastic disks used, by analogy to other mechanisms that have been previously predicted theoretically.</p>
Supporting dataset for the publication "The Crucial Role of Solvation Forces in the Steric Stabilization of Nanoplatelets"
<p>Here, we provide an example of our umbrella sampling simulations (35.6 nm²×1.5 nm, 4 ligand beads, 250k solvent molecules), the input and output data of our WHAM calculations, free energy curves, and simulation data from the comparison of the MARTINI force field to the TraPPE-UA force field. Additional, we provide a modified file of the HOOBAS molecular builder. This file includes the "platelet" class we use to create nonoplatelets in our simulations.</p> <p> </p> <p> </p>
Force-tuned Avidity of Spike Variant-ACE2 Interactions viewed on the Single-Molecule Level - MD simulations Dataset
<p>Models of SARS-CoV-2 virus spike protein bound to 1-3 of ACE2 receptors embedded in lipid nanodisks. Systems include all files in GROMACS format needed to reproduce simulations performed in the "Force-tuned Avidity of Spike Variant-ACE2 Interactions viewed on the Single-Molecule Level" article.</p> <p> </p> <table> <caption>Details</caption> <thead> <tr> <th scope="col">system</th> <th scope="col">box size (x-y-z) [nm]</th> <th scope="col">Number of atoms</th> </tr> </thead> <tbody> <tr> <td>Spike +<br> 1x ACE2, full length</td> <td>33.44834 28.96711 57.95573</td> <td>5,665,217</td> </tr> <tr> <td>Spike +<br> 1x ACE2, truncated</td> <td>28.05757 24.29856 46.74417</td> <td>3,203,907</td> </tr> <tr> <td>Spike +<br> 2x ACE2, truncated</td> <td>28.30864 21.23141 48.40873</td> <td>2,936,398</td> </tr> <tr> <td>Spike +<br> 3x ACE2, truncated</td> <td>28.32733 21.24544 48.30436</td> <td>2,936,588</td> </tr> </tbody> </table>
Seismic Inverted Impact force and Digital Elevation Models before and after the 2018 Baige Landslide
<p>For the data of inverted seismic force, the seismic signals recorded by the broadband seismic stations were prepared for the inversion of the force-time function by the following series of actions:</p> <ul> <li>Removing the instrumental response</li> <li>Resampling to 0.5 s</li> <li>Integrating the signals from velocity to displacement</li> <li>Rotating the horizontal components to the radial and transverse direction</li> <li>Filtering the signals between periods of 30 and 140 s</li> </ul> <p>For the digital elevation models (DEMs) of the Baige landslide, the pre-failure DEM with 10 m grid spacing was obtained from the Sichuan Bureau of Surveying Mapping and Geoinformation (SBSMG). At the same time, the post-failure DEM was derived from the UAV-based photogrammetry.</p>
Force-length data
<p>Raw data used to create the figures and tables presented in the manuscript entitled "The force-length relation of the young adult human tibialis anterior".</p>
Feedback from task force members on the format, frequency and duration of workshop
<p>This dataset gathers the feedback from task force members, gathered through an online questionnaire, on the format, frequency and duration of workshops roganised by DOWEL in view of elaboration White Papers on topics related to smart buildings.</p>
Higher spring phenological sensitivity to forcing temperatures of Asian compared to European tree species under low and high pre-chilling conditions Datasets
<p>Winter chilling, spring forcing temperature and photoperiod are the most important drivers explaining the spatial and temporal variability of spring phenology in temperate trees. However, how these factors interact with each other on dormancy release and spring budburst date remains unclear and varies greatly depending on species. Our knowledge is also limited as to whether heat accumulation of forcing temperatures that trigger bud break in spring is a linear or non-linear process. Here, we aimed at experimentally quantifying the effect of chilling, forcing, photoperiod and their interactions on the budburst dates of nine different temperate tree species from East Asia (near Beijing, China) and Central Europe (near Zurich, Switzerland), including six phylogenetically related species (same genus). We conducted a full factorial experiment in climate chambers using two chilling (low and high, i.e., 0 vs. 56 days at 2C after sampling at the end of December), four forcing (5, 10, 15, and 20C), and two photoperiod (8 vs. 16 h) treatments simultaneously in Beijing and Zurich. We found that species growing near Beijing responded more readily to forcing conditions than species of the same genus growing near Zurich regardless of chilling treatment. Budburst timing of most species but European beech was marginally, if at all, affected by photoperiod. Furthermore, our results suggest that linear heat accumulation, as commonly used with the growing degree hours (GDH) model, could result in accurate prediction of budburst date depending on the temperature threshold used as a basis for heat accumulation. Our results also demonstrate the important role of chilling in shaping the sensitivity and rate of forcing accumulation to trigger budburst and suggest that species-specific sigmoid relationship for accumulating heat that accounts for prior chilling exposure may yield better predictions of budburst dates. Our results suggest that deciduous trees may have adapted their chilling and forcing requirements in regards to the predictability of winter-spring transition and late spring frosts. A less predictable winter-spring transition, as observed in Central Europe, could have driven species evolution towards higher chilling and forcing requirements compared to species growing in a more predictable climate of Northeastern Asia. Our cross-continental experiment therefore suggests that the spring phenology of East Asian species is tighter coupled to spring forcing temperature than Central European forests.</p>
Data from: Kinematic and hydrodynamic analyses of turning manoeuvres in penguins: Body banking and wing upstroke generate the centripetal force
<p>Penguins perform lift-based swimming by flapping their wings. Previous kinematic and hydrodynamic studies have revealed the basics of wing motion and force generation in penguins. Although these studies have focused on steady forward swimming, the mechanism of turning manoeuvres is not well understood. In this study, we examined the horizontal turning of penguins via 3D motion analysis and quasi-steady hydrodynamic analysis. Free swimming of gentoo penguins (<em>Pygoscelis papua</em>) at an aquarium was recorded, and body and wing kinematics were analysed. In addition, quasi-steady calculations of the forces generated by the wings were performed. Among the selected horizontal swimming manoeuvres, turning was distinguished from straight swimming by the body trajectory for each wingbeat. During the turns, the penguins maintained outward banking through a wingbeat cycle and utilized a ventral force during the upstroke as a centripetal force to turn. Within a single wingbeat during the turns, changes in the body heading and bearing also mainly occurred during the upstroke, while the subsequent downstroke accelerated the body forward. We also found contralateral differences in the wing motion; i.e., the inside wing of the turn became more elevated and pronated. Quasi-steady calculations of the wing force confirmed that the asymmetry of the wing motion contributes to the generation of the centripetal force during the upstroke and the forward force during the downstroke. The results of this study demonstrate that the hydrodynamic force of flapping wings, in conjunction with body banking, is actively involved in the mechanism of turning manoeuvres in penguins.</p>
DPPC lipid bilayer simulation with CHARMM36-LJPME force field using OpenMM
<p>DPPC lipid bilayer simulation (300 ns) with CHARMM36-LJPME force field using OpenMM at 323K.</p> <p>Used in <a href="http://doi.org/10.1021/acs.jctc.1c00951">https://doi.org/10.1021/acs.jctc.1c00951</a></p> <p>The force field parameters were downloaded from <a href="https://terpconnect.umd.edu/%7Ejbklauda/ff.html">https://terpconnect.umd.edu/%7Ejbklauda/ff.html</a>.</p> <p><a href="https://zenodo.org/api/files/1e89f677-91a8-472d-aebb-144fddd58d23/trajCORRECT1-2.dcd?versionId=5317fd88-6b98-4905-b171-53c1cd199cfe">trajCORRECT1-2.dcd </a>has incorrect timestamps. traj1-2.xtc has correct timestamps.<br> </p>
Morphogenetic forces planar polarize LGN/Pins in the embryonic head during Drosophila gastrulation
<p>Spindle orientation is often achieved by a complex of Partner of Inscuteable (Pins)/LGN, Mushroom Body Defect (Mud)/Nuclear Mitotic Apparatus (NuMa), Gαi, and Dynein, which interacts with astral microtubules to rotate the spindle. Cortical Pins/LGN recruitment serves as a critical step in this process. Here, we identify Pins-mediated planar cell polarized divisions in several of the mitotic domains of the early <em>Drosophila</em> embryo. We found that neither planar cell polarity pathways nor planar polarized myosin localization determined division orientation; instead, our findings strongly suggest that Pins planar polarity and force generated from mesoderm invagination are important. Disrupting Pins polarity via overexpression of a myristoylated version of Pins caused randomized division angles. We found that disrupting forces through chemical inhibitors, depletion of an adherens junction protein, or blocking mesoderm invagination disrupted Pins planar polarity and spindle orientation. Furthermore, directional ablations that separated mesoderm from mitotic domains disrupted spindle orientation, suggesting that forces transmitted from mesoderm to mitotic domains can polarize Pins and orient division during gastrulation. To our knowledge, this is the first in vivo example where mechanical force has been shown to polarize Pins to mediate division orientation.</p>
Dataset for the Roles of Cloud Radiative Forcing in the Onset of MJO in DYNAMO
<p><strong>A journal paper "Roles of Cloud Radiative Forcing in the Onset of MJO in DYNAMO" details the method to create the data.</strong></p> <p>Readme</p> <p>The modeling and observed dataset for generating the figures in this paper is stored here. </p> <p>Contact</p> <p>For any questions related to the dataset, please contact the authors of the paper. </p>
Forced Oscillations On The Orocopia Schist Under Saturated Conditions (Effective Stress 9 MPa) (2)
<p>Forced Oscillations on Orocopia Schist under Saturated Conditions (Effective Stress 9 MPa)</p> <p>Test #199<br> Type of Experiment: Forced Oscillations</p> <p>Sample: Orocopia Schist (#4)</p> <p>Experimental Conditions: </p> <ul> <li>Confining pressure: 10 MPa</li> <li>Pore Pressure: 1 MPa</li> <li>Seating Differential Stress: 10 MPa</li> <li>Amplitude of oscillating Stress: 1 MPa (Peak-to-peak)</li> <li>LVDTs: 2 high-resolution axial LVDTs but 4 radial LVDTs (no high-resolution)</li> </ul> <p>More details are in the Excel file, including the initial processing of the data before calibration and a list of experiments.</p>
Forced Oscillations On The Orocopia Schist Under Saturated Conditions (Effective Stress 2 MPa) (1)
<p>Forced Oscillations on Orocopia Schist under Saturated Conditions (Effective Stress 2 MPa)</p> <p>Test #191<br> Type of Experiment: Forced Oscillations</p> <p>Sample: Orocopia Schist (#4)</p> <p>Experimental Conditions: </p> <ul> <li>Confining pressure: 10 MPa</li> <li>Pore Pressure: 8 MPa</li> <li>Seating Differential Stress: 10 MPa</li> <li>Amplitude of oscillating Stress: 1 MPa (Peak-to-peak)</li> <li>LVDTs: 2 high-resolution axial LVDTs but 4 radial LVDTs (including 1 high-resolution)</li> </ul> <p>More details are in the Excel file, including the initial processing of the data before calibration and a list of experiments.</p>
Forced Oscillations On The Orocopia Schist Under Saturated Conditions (Effective Stress 9 MPa) (1)
<p>Forced Oscillations on Orocopia Schist under Saturated Conditions (Effective Stress 9 MPa)</p> <p>Test #190<br> Type of Experiment: Forced Oscillations</p> <p>Sample: Orocopia Schist (#4)</p> <p>Experimental Conditions: </p> <ul> <li>Confining pressure: 10 MPa</li> <li>Pore Pressure: 1 MPa </li> <li>Seating Differential Stress: 10 MPa</li> <li>Amplitude of oscillating Stress: 1 MPa (Peak-to-peak)</li> <li>LVDTs: 2 high-resolution axial LVDTs but 4 radial LVDTs (including 1 high-resolution)</li> </ul> <p>More details are in the Excel file, including the initial processing of the data before calibration and a list of experiments.</p>
Forced Oscillations On PMMA (1)
<p>Test #184<br> Type of Experiment: Forced Oscillations</p> <p>Sample: PMMA (#1)</p> <p>Experimental Conditions: </p> <ul> <li>Confining pressure: 3 MPa</li> <li>Pore Pressure: 0 MPa</li> <li>Seating Differential Stress: 2.5 MPa</li> <li>Amplitude of oscillating Stress: 0.8 MPa (Peak-to-peak)</li> <li>LVDTs: 2 high-resolution axial LVDTs and no radial LVDTs</li> </ul> <p>More details are in the Excel file, including the initial processing of the data before calibration and a list of experiments.</p>
Forced Oscillations On PMMA (2)
<p>Test #197<br> Type of Experiment: Forced Oscillations</p> <p>Sample: PMMA (#1)</p> <p>Experimental Conditions: </p> <ul> <li>Confining pressure: 10 MPa</li> <li>Pore Pressure: 0 MPa</li> <li>Seating Differential Stress: 5 MPa</li> <li>Amplitude of oscillating Stress: 1.0 MPa (Peak-to-peak)</li> <li>LVDTs: 2 high-resolution axial LVDTs and 4 radial LVDTs (no high resolution)</li> </ul> <p>More details are in the Excel file, including the initial processing of the data before calibration and a list of experiments.</p>
Forced Oscillations On Aluminum (1)
<p>Test #188<br> Type of Experiment: Forced Oscillations</p> <p>Sample: Aluminum (#1)</p> <p>Experimental Conditions: </p> <ul> <li>Confining pressure: 10 MPa</li> <li>Pore Pressure: 0 MPa</li> <li>Seating Differential Stress: 10 MPa</li> <li>Amplitude of oscillating Stress: 1.0 MPa (Peak-to-peak)</li> <li>LVDTs: 2 high-resolution axial LVDTs and 4 radial LVDTs (1 high resolution)</li> </ul> <p>More details are in the Excel file, including the initial processing of the data before calibration and a list of experiments.</p>
Response of the Snowball Earth Climate to Orbital Forcing at High CO2 Level
<p>CAM3&CLM3 simulation results that support the findings of this study are archived here.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.