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1,670 results for “FORCE”
Amyloid-beta 16-22 peptide monomer simulation (without salt) with the CHARMM-Drude force field and OpenMM (Run 3)
<p>Amyloid-beta 16-22 peptide (monomer) simulations with the CHARMM-Drude force field and OpenMM. Initial structures are obtained from CHARMM-GUI. This is the third independent simulation runs out of three. The system does not contain any ions.</p> <p>Total trajectory length is 1 microseconds. Frame saving frequency is 10 ps.</p> <p>All the simulation parameters and force field files are uploaded into this repository. Simulations are done with OpenMM v. 7.5.1.</p> <p> </p>
Supporting data for ''Strong control of effective radiative forcing by the spatial pattern of absorbing aerosol"
<p>Supporting data for our Nature Climate Change study. We provide a subset of:</p> <p> - 2D, monthly fields</p> <p> - time-averaged 3D fields</p> <p> - a numpy/text file which is needed to identify the different aerosol plume experiments</p> <p> </p> <p>Please see the README for more information on the outputs, accessing specific plume experiments, and the data post-processing we conducted.</p>
Amyloid-beta 16-22 peptide monomer simulation (150 mM NaCl) with the CHARMM36m force field and Gromacs (Run 2)
<p>MD simulations of the Amyloid-beta 16-22 monomer at 150 mM NaCl concentration with CHARMM36m force field and Gromacs. This repository contains the first out of three independent runs. </p> <p>Files belong to the publication "<a href="https://doi.org/10.1021/acs.jcim.0c01063">https://doi.org/10.1021/acs.jcim.0c01063</a>"</p> <p>All the simulation parameters and force field files are uploaded into this repository. Simulations are done with Gromacs 2018.3</p> <p>Total simulation time is 500 ns. Frames are saved with 100 ps frequency. </p>
Amyloid-beta 16-22 peptide monomer simulation (150 mM NaCl) with the CHARMM36m force field and Gromacs (Run 1)
<p>MD simulations of the Amyloid-beta 16-22 monomer at 150 mM NaCl concentration with CHARMM36m force field and Gromacs. This repository contains the first out of three independent runs. </p> <p>Files belong to the publication "<a href="https://doi.org/10.1021/acs.jcim.0c01063">https://doi.org/10.1021/acs.jcim.0c01063</a>"</p> <p>All the simulation parameters and force field files are uploaded into this repository. Simulations are done with Gromacs 2018.3</p> <p>Total simulation time is 500 ns. Frames are saved with 100 ps frequency. </p>
MD simulation of POPC bilayer with OPLS3e force field, 200 mM CaCl2 part 2
<p>MD simulation of POPC bilayer with OPLS3e force field, 200 mM CaCl<sub>2</sub> part 2 (500-1000ns)</p> <p>Dataset contains trajectories (_trj) for the last 500ns of the 1000ns trajectory, topology (-out.cms), and other files</p> <p>For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_cacl200_x-xns.tar.gz)</p> <p>System: POPC bilayer in water</p> <p>Number of lipids: 200 (100/leaflet)</p> <p>Number of waters: 8880</p> <p>Salt: CaCl<sub>2</sub></p> <p>Concentration: 200 mM</p> <p>Number of cations: 32</p> <p>Simulation time: 1000 ns (in this dataset 500-1000ns)</p> <p>Simulation engine: Desmond 2019-4</p> <p>Temperature: 300 K</p> <p>Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 200 mM CaCl<sub>2</sub> part 1</p>
MD simulation of POPC bilayer with OPLS3e force field, 50 mM CaCl2 part 2
<p>MD simulation of POPC bilayer with OPLS3e force field, 50 mM CaCl<sub>2</sub> part 2 (500-1000ns)</p> <p>Dataset contains trajectories (_trj) for the last 500ns of the 1000ns trajectory, topology (-out.cms), and other files.</p> <p>For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_cacl50_x-xns.tar.gz)</p> <p>System: POPC bilayer in water</p> <p>Number of lipids: 200 (100/leaflet)</p> <p>Number of waters: 8880</p> <p>Salt: CaCl<sub>2</sub></p> <p>Concentration: 50 mM</p> <p>Number of cations: 8</p> <p>Simulation time: 1000 ns (in this dataset 500-1000ns)</p> <p>Simulation engine: Desmond 2019-4</p> <p>Temperature: 300 K</p> <p>Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 50 mM CaCl<sub>2</sub> part 1</p>
MD simulation of POPC bilayer with OPLS3e force field, 1000 mM NaCl part 2
<p>MD simulation of POPC bilayer with OPLS3e force field, 1000 mM NaCl part 2 (500-1000ns)</p> <p>Dataset contains trajectories (_trj) for the last 500ns of the 1000ns trajectory, topology (-out.cms), and other files.</p> <p>For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_nacl1000_x-xns.tar.gz)</p> <p>System: POPC bilayer in water</p> <p>Number of lipids: 200 (100/leaflet)</p> <p>Number of waters: 8880</p> <p>Salt: NaCl</p> <p>Concentration: 1000 mM</p> <p>Number of cations: 160</p> <p>Simulation time: 1000 ns (in this dataset 500-1000ns)</p> <p>Simulation engine: Desmond 2019-4</p> <p>Temperature: 300 K</p> <p>Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 1000 mM NaCl part 1</p>
MD simulation of POPC bilayer with OPLS3e force field, 1000 mM CaCl2 part 1
<p>MD simulation of POPC bilayer with OPLS3e force field, 1000 mM CaCl<sub>2</sub> part 1</p> <p>Dataset contains trajectories (_trj) for the first 500ns of the 1000ns trajectory, topology (-out.cms) and input files (.cfg, .msj, .cms).</p> <p>For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_cacl1000_x-xns.tar.gz).</p> <p>Dataset also contains Gromacs converted files (.xtc, .gro and .top). Converted trajectories is also for the first 500 ns of 1000 ns, and are as 100 ns pieces for analysis since simulation did not equilibrate during 1000 ns.</p> <p>System: POPC bilayer in water</p> <p>Number of lipids: 200 (100/leaflet)</p> <p>Number of waters: 8880</p> <p>Salt: CaCl<sub>2</sub></p> <p>Concentration: 1000 mM</p> <p>Number of cations: 160</p> <p>Simulation time: 1000 ns (in this dataset 0-500ns)</p> <p>Simulation engine: Desmond 2019-4</p> <p>Temperature: 300 K</p> <p>Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 1000 mM CaCl<sub>2</sub> part 2</p>
Processed data for "Effects of Anthropogenic Forcings on Multidecadal Variability of the Sea Level around the Japanese Coast Simulated by MRI-ESM2.0 for CMIP6"
<p>Processed data for "Effects of Anthropogenic Forcings on Multidecadal Variability of the Sea Level around the Japanese Coast Simulated by MRI-ESM2.0 for CMIP6" submitted to Geophysical Research Letters. Detailed information is described in README.txt in the zip file.</p>
MD simulation of POPC bilayer with OPLS4 force field. 5 w/l
<p>MD simulation of POPC bilayer with OPLS4 force field. 5w/l</p> <p>Dataset contains trajectories (_trj), topologies (-out.cms), input files and converted gromacs format files</p> <p>For the ease of the upload, trajectory file (_trj) is divided into 4 pieces and tarred (named <span>desmond_md_popc</span>_5wl_opls4_x-xns.tar.gz)</p> <p>System: POPC bilayer in water</p> <p>Number of lipids: 200 (100/leaflet)</p> <p>Number of waters: 1000</p> <p>Simulation time: 1000 ns</p> <p>Simulation engine: Desmond 2022-2</p> <p> </p> <p>Temperature: 300 K</p>
Data on Force on different PyC disks levitating on different magnetic carpets
Open the record for dataset details and reuse information.
Dataset for Crashworthiness in preliminary design: Mean crushing force prediction for closed-section thin-walled metallic structures
<p>This dataset is the official implementation of the following paper published in the International Journal of Impact Engineering journal:</p> <blockquote> <p>Shreyas Anand, René Alderliesten, Saullo G. P. Castro. "Crashworthiness in preliminary design: Mean crushing force prediction for closed-section thin-walled metallic structures". International Journal of Impact Engineering, 2024. <a href="https://doi.org/10.1016/j.ijimpeng.2024.104946" target="_blank" rel="noopener">10.1016/j.ijimpeng.2024.104946</a> </p> </blockquote> <h2>Highlights</h2> <div> <div> <ul> <li> <div>Evaluation of analytical models to predict mean crushing force</div> </li> <li> <div>Analysis of both extensional and inextensional analytical crushing models.</div> </li> <li>Use of numerical and experimental dataset to improve existing analytical models.</li> <li>Generalized expression for predicting mean crushing force</li> </ul> </div> </div> <h2>Abstract</h2> <div> <div>To design crash structures for disruptive aircraft designs, it is required to have fast and accurate methods that can predict crashworthiness of aircraft structures early in the design phase. Axial crushing is one of the key energy absorbing mechanisms during a crash event. In this study, various analytical models proposed for calculation of mean crushing force for thin-walled tubular structures are compared with a database of numerical and experimental values to ascertain their accuracy. Improvements to some of the models have also been proposed. Finally a generalized model based on the studied and improved analytical models for prediction of mean crushing force for closed section thin-walled tubular structures is introduced. The generalized model demonstrates high accuracy when compared against experimental/numerical dataset as evidenced by a high coefficient of determination (R^2) value of 0.97 and can therefore be used to estimate the mean crushing force for closed-section thin-walled metallic tubular structures with various cross-sectional shapes and crushing modes early in the design phase.</div> </div>
South American monsoon intensification during the last millennium driven by joint Pacific and Atlantic forcing
<p>This archive contains the climate reconstruction of South American summer monsoon over 850–1850 CE at 5-year resolution by combining the isotope-enabled Community Earth System Model with isotopic proxy records through data assimilation. For a complete description of the experimental design, see the associated publication. Each NetCDF file corresponds to one variable. For each variable, along with the reconstruction, an estimation of the uncertainty is provided. All fields are anomalies relative to the 850–1850 CE period. </p>
CESM_coupled experiment with different ENSO types forcing
<p>The four CESM numerical experiments are 1.the control run(abbreviated as control), 2.the slow decaying El Nino run(SEP), 3.the fast decaying El Nino run (SEP), 4.the enhanced fast decaying El Nino run (SEPehc). The model outputs include both atmosphere and ocean components (atm and ocn for short). Each output data is written in binary format (.bin/.dat) with a header file (.ctl). The<br> file is named as "experiment type"_"model component"_"variable"."format".</p>
Supplementary dataset to: Two Decades of Dust Radiative Forcing on Snow Cover Across the Great Salt Lake Basin (Lang et al. JGR-ES)
<p><strong><span>ForwardTrajASP.zip</span></strong></p> <p><span>This compressed file contains the output of forward trajectory model runs using the HYSPLIT-STILT modeling framework as described in the main manuscript. Each .csv file in the manuscript represents <span>an ensemble of forward trajectory simulations released at a specific time, latitude, and longitude as labeled in the file name. The columns with the output .csv files represent the following variables:<em> long</em> is the longitude, <em>lati</em> is the latitude, <em>zagl</em> is the trajectory above ground level, and <em>mlht</em> is the boundary height for that trajectory's respective horizontal location.</span></span></p> <p><strong><span>041823DepByElement.zip</span></strong></p> <p><span>The contents of this compressed file contain .tif images of CMAQ outputs for the model run on the April 18<sup>th</sup>, 2023, dust event. Deposition per area is given for hydrologic units over the state of Utah. The element and deposition type are given in the file names as well as within the files themselves.</span></p> <p><strong><span>AprMay2023TotalDep.zip </span></strong></p> <p><span>The contents of the compressed file contain three .tif images of CMAQ deposition outputs for combined wet and dry deposition of three major elements (Al, Si, Na) for all dust events in April and May of 2023 within the state of Utah. The outlines of the Bear, Weber, and Jordan basins are shown in black. </span></p>
3D ground reaction force data of walking individuals crossing the vibration-prone experimental pedestrian bridge HUMVIB, Darmstadt, Germany
<p>This data set is obtained within the framework of the DFG research project HUMVIB (Project number 446124066) to investigate human-induced vibrations and human-structure interaction on pedestrian bridges. In total, a set of data from 26 subjects for different walking step frequencies was investigated. Each condition was performed on the vibration-prone HUMVIB Bridge at the Lichtwiese campus of the Technical University of Darmstadt with a vertical natural frequency of 2.02 Hz. Each condition was also performed for the system configuration with the optional center support and consequently much higher frequency of 7.72 Hz. Thereby, each condition was repeated for 10 crossings and with each run 5 single steps were recorded by portable Ground Reaction Force Plates (GRFPs). In this case, the sensor plan <a href="https://zenodo.org/api/records/14049724/draft/files/02_HUMVIB_Bridge_with_GRFP.pdf/content" target="_blank" rel="noopener noreferrer">02_HUMVIB_Bridge_with_GRFP.pdf</a> shows that FP1, FP2, FP4, FP5 and FP6 are hit when crossing a bridge. Therefore, under these walking conditions, FP3 only records the mass inertia due to the bridge acceleration or noisy zero signals as a reference.</p> <p>The measured 3D ground reaction forces have been time-synchronized and measured with a sampling rate of 1,000 Hz. Complementary sensors on the structural response (accelerometers, strain gauges, ...) as well as on the subjects themselves (EMG sensors and MoCap) are less relevant for the analysis of the GRFs and will be published as a supplement after the analysis is completed. However, since FP3 is not hidden by a step of the walking subjects, it can also serve as a structural response sensor and thus not only provide the mass inertia but also the structural acceleration of the bridge. The dataset is well suited for the analysis of GRFs as a function of the tuning or structural acceleration between excitation and natural frequencies of walking individuals on vibration-prone structures. Furthermore, based on the given personal characteristics (height, weight, gender, age), an estimation of the influence of the personal parameters is possible. Finally, based on the size of the sample, the inter- and intra-variability of the persons walking can be investigated for verticals but also horizontal GRFs in general.</p>
FORC data of sediment cores from western equatorial Pacific
<p>FORC measurement data files produced in the paper:</p> <p>Inoue, K., Yamazaki, T., & Usui, Y. (2021). Influence of magnetofossils on paleointensity estimations inferred<br> from principal component analyses of first-order reversal curve diagrams for sediments from the western equatorial<br> Pacific. Geochemistry, Geophysics, Geosystems, 22, e2021GC010081. https://doi.org/10.1029/2021GC010081</p>
Vastus intermedius muscle architecture predicts the late phase of the knee extension rate of force development in recreationally resistance-trained men
<p><strong>Objectives: </strong>The current study investigated the correlation between quadriceps muscle architecture and the knee extension rate of force development (RFD).</p> <p><strong>Design: </strong>cross-sectional study.</p> <p><strong>Methods: </strong>Muscle thickness, pennation angle and fascicle length normalized per the thigh-length were measured via ultrasound in vastus lateralis, rectus femoris, vastus intermedius and vastus medialis. The knee extension rate of force was assessed isometrically at 90° knee angle and calculated in different 50-ms epochs (0-50, 50-100, 100-150, 150-200 and 200-250ms). The maximum voluntary contraction was also recorded.</p> <p><strong>Results: </strong>Large correlations were observed between vastus intermedius muscle thickness and the 100-150ms (r=0.694, p=0.004), 150-200ms (r=0.597, p=0.019) and 200-250ms (r=0.546, p=0.045) epochs. Large correlation was observed between vastus intermedius normalized fascicle length and 100-150ms (r=0.570, p=0.043) and large correlations with 150-200ms (r=0.643, p=0.010) and 200-250ms (r=0.629, p=0.012) epochs. Additionally, large correlations were observed between vastus lateralis normalized fascicle length and the 100-150ms (r=0.535, p=0.049), 150-200ms (r=0.629, p=0.016) and 200-250ms (r=0.563, p=0.046) epochs. Vastus intermedius muscle thickness predicted 59% (R2=0.581, p=0.002) of the RFD of the 100-150ms epoch; vastus intermedius muscle thickness and fascicle length predicted 51% (R2=0.506, p=0.029) of the 150-200ms epoch; vastus intermedius and vastus lateralis fascicle length predicted 48% (R2=0.483, p=0.037) of the 200-250ms epoch. No further correlation was observed.</p> <p><strong>Conclusions: </strong>Fascicle length and muscle thickness were observed as predictive of the late phase of the rate of force development. Vastus intermedius muscle architecture has a primary role in the knee extension RFD.</p>
Comparison of Radiative Transfer schemes for the calculation of aerosol radiative forcing in Mars' atmosphere 2.0
<p>Data-sets of figures (1 to 10) for the Comparison of radiative transfer schemes for the calculation of aerosol radiative forcing in the atmosphere of Mars. (Revision: 2)</p>
Neutron Imaging of Paramagnetic Ions: Electrosorption by Carbon Aerogels and Macroscopic Magnetic Forces
<p>Neutron images of capacitive deionisation by carbon aerogels.</p> <p>Readouts from potentiostat.</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)
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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.