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207 results for “friction”
Simulations and scripts for "Glacier surges controlled by the close interplay between subglacial friction and drainage".
<p>This repository contains the model and scripts to reproduce the results presented in "Glacier surges controlled by the close interplay between subglacial friction and drainage" and submitted to the Journal of Geophysical Research - Earth Surface. It provides the running model files associated with each result figure of the manuscript as well as the Python script to generate them from the simulation output. The model is also described and updated at: https://github.com/kjetilthogersen/pyGlacier.</p>
Data and Code for "Fault Network Geometry Influences Earthquake Frictional Behavior"
<p>This dataset contains the data and code necessary to reproduce the results presented in the paper, "Fault-Network Geometry Influences Earthquake Frictional Behavior" <em>Nature</em> (2024), authored by J. Lee, V. C. Tsai, G. Hirth, A. Chatterjee, and D. T. Trugman.</p> <p>https://doi.org/10.1038/s41586-024-07518-6</p>
Inlists for "An Alternative Channel to Black Hole Low-Mass X-ray Binaries: Dynamical Friction of Dark Matter? "
<p>In this work, we employ MESA code to diagnose whether the dynamical friction between dark matter and the companion stars can drive BH binaries to evolve toward the observed BH LMXBs and alleviate the effective temperature problem. Assuming that there exists a density spike of dark matter around BH, the dynamical friction can produce an efficient angular momentum loss, driving BH binaries with an intermediate-mass companion star to evolve into BH LMXBs for a spike index higher than $\gamma = 1.58$.</p> <p>MESA version: r12115; SDK compiler: mesasdk-x86_64-linux-20190830</p> <p> </p>
Dynamical friction and measurements of the splashback radius in galaxy clusters (Data)
<p>Data from O'Shea et al. (2024). Dynamical friction and measurements of the splashback radius in galaxy clusters.</p>
Data for: Slip-pulses drive frictional motion of dissimilar materials: universality, dynamics, and evolution
<p>Here, we present data for: Slip-pulses drive frictional motion of dissimilar materials: universality, dynamics, and evolution.</p> <p>Spreadsheets correspond to figures in the paper (SI). Data is organized within a spreadsheet by subfigures, and the '.I' index stands for insets data.</p> <p> </p> <p>For further questions, you may contact me - yonatan.poles@mail.huji.ac.il.</p> <p> </p> <p> </p> <p> </p>
Costa Rica Friction Experiments
<p>Hydrothermal rotary shear experiments at low sliding velocities relevant for earthquake nucleation (0.001-0.1 mm/s) on IODP samples collected offshore Costa Rica during Exp 334 + 344. Records of apparent friction coefficient vs. displacement and RSF inversion (XLook) results.</p>
A Weighting Function Model for Unsteady Open Channel Friction: Raw code and output
<p>Matlab source code and Raw Origin Lab file (.opj) for a weighting function model simulating unsteady open channel friction slopes. This material is provided as is. Methods (formulas) and Figures are explained further in the related article "A Weighting Function Model for Unsteady Open Channel Friction" by Junwei Zhou; Weimin Bao; Geoffrey R. Tick; Qing Cao; and Fanghong Ye.</p>
Datasets for "Constraints on the geometry and frictional properties of the Main Himalayan Thrust using co-, post- and interseismic deformation in Nepal" "
<p>This contains GNSS and InSAR data used in the publication "Constraints on the geometry and frictional properties of the Main Himalayan Thrust using co-, post- and interseismic deformation in Nepal". GNSS data come as separate text files for east and north displacements and errors. Each text file consists of a number of columns. Each file has 40 columns, where the first column is time in decimal years after the Gorkha earthquake and the following columns correspond to each GNSS station. The time series are those obtained after the removal of "non-postseismic" deformation such as linear and sinusoidal terms</p> <p>The InSAR data are in the form of GMT GRD files at 200m resolution. Data are from Sentinel-1a track 19 and are a derived work of Copernicus data, subject to the ESA use and distribution conditions. The name of each GRD file is as follows: t19_{date1}_{date2}_hgt_ramp_200m.grd. Date 1 and date 2 are the dates of the two images used to make each interferogram.</p>
Dataset for the study of "Seismic fault slip at depths simulated by high-velocity friction experiments under hydrothermal conditions"
<p>These are measured data of high-velocity friction experiments conducted on gabbro and marble under hydrothermal conditions (initial ambient temperature of 40 to 400 degC and pore pressure of 30 MPa). </p> <p>In each txt file, Column1 to Column9: Time (s), Slip Velocity (m/s), Displacement (m), Friction coefficient, Axial Displacement (mm), Pore water pressure (MPa), Effective normal stress (MPa), Sample Temperature (degC) and Furnace Temperature (degC).</p>
Head-on quenching of turbulent premixed NH3/H2/air flames in the channel flow with friction Reynolds number 300
Open the record for dataset details and reuse information.
Fast grip force adaptation to friction relies on localized fingerpad strains
<p>Humans can quickly adjust their grip force to a change in friction at the object-skin interface during dexterous manipulation in a precision grip. To perform this adjustment, they rely on the feedback of the mechanoreceptive afferents innervating the fingertip skin. Because these tactile afferents encode information related to skin deformation, the nature of the feedback signaling a change in friction must somehow originate from a difference in the way the skin deforms when manipulating objects of different frictions. To better characterize the origin of the underlying sensory events, we asked human participants to perform a grip-lifting task with a manipulandum equipped with an optical imaging system. This system enabled to monitor fingertip skin strains through transparent plates of glass that had different levels of friction. We observed that, following an unexpected change in friction, participants adapted their grip force within 370ms after contact with the surface. By comparing the deformation patterns when unexpectedly switching from a high to a low friction condition, we found a significant increase in skin deformation inside the contact area arising over 100ms before the motor response, during the loading phase, suggesting that local and partial deformation patterns prior to lift-off are used in the nervous system to adjust the grip force as a function of the frictional condition.</p>
Data for "Fluctuation-induced quantum friction in nanoscale water flows"
<p>This is the data supporting the paper "Fluctuation-induced quantum friction in nanoscale water flows" by N. Kavokine, M.-L. Bocquet and L. Bocquet (arXiv 2105.03413). </p>
Figs. 1―4 in Effects of AFM tip wear on frictional images of laser-patterned diamond-like nanocomposite films
Figs. 1―4. Arixyleborus nudulus, holotype, female. 1) Dorsal habitus; 2) Lateral habitus; 3) Head; 4) Elytral declivity.
Creep-to-runout transition of large landslides controlled by frictional velocity strengthening and weakening
<p>Providing a dynamic model accounting for the effects of pore water pressure and friction strengthening and weakening to predict the sliding process of catastrophic landslides</p>
Replication package for: Patent Hold-out and Licensing Frictions: Evidence from Litigation of Standard Essential Patents
<p>This replication package contains the data and the code to generate the results reported in "Patent Hold-out and Licensing Frictions: Evidence from Litigation of Standard Essential Patents" by Christian Helmers and Brian J. Love.</p>
Data for "Why induced earthquakes occur on conventionally stable faults: frictional healing explains"
<p>This is the data used in "Why induced earthquakes occur on conventionally stable faults: frictional healing explains". The paper is currently under review. See README.txt for more information.</p>
Tuesday 5 May: Data Friction, Context and the 'Allure of Computation', Jessica Ogden, U Southhampton
<p>Tuesday 5 May: Data Friction, Context and the 'Allure of Computation', Jessica Ogden, U Southhampton</p>
Data of: Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing
<p>This dataset contains the data and models used in the research journal publication: "Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing " which was funded from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 101001567).</p> <p> </p>
Comparative Effects of Gun Massager and Transverse Friction Massage in Patients With Plantar Fasciitis
ClinicalTrials.gov study NCT05347264. IPD Sharing: NO. Countries: 1. Publications: 5.
Neuromuscular Inhibition Technique on Iliotibial Band Friction Syndrome
ClinicalTrials.gov study NCT06980324. IPD Sharing: NO. Countries: 1. Publications: 32.
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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.