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969 results for “velocity”
Dataset for UAV velocity prediction_pt1
<p>This file contains a dataset for UAV velocity prediction only in the Downtown West (Small City Downtown) map.</p>
Relative velocity variations curves
<p>These are the relative velocity variations curves used in the scientific article titled "Spatio-temporal velocity variations observed during the pre-eruptive episode of La Palma 2021 eruption inferred from ambient noise interferometry."</p>
SIRV: Spatial inference of RNA velocity at the single-cell resolution
<p>Spatial transcriptomics and scRNA-seq datasets used for integration and prediction of un/spliced expression for spatially measured genes using SIRV, used to infer the RNA velocity in the spatial context</p>
Code for noise-based seismic velocity changes estimation with the Bezymianny volcano data set. Journal of Volcanology and Geothermal Research.
<p>This file contains all the data and the python scripts used to estimate seismic velocity changes for the Bezymianny volcano (Klyuchevskoy volcano group). It also includes a guideline README.pdf with the description how to reproduce all the results presented in the paper <strong>Berezhnev Y., Belovezhets N., Shapiro N., Koulakov I. (2022), Temporal changes of seismic velocities below Bezymianny volcano prior to its explosive eruption on 20.12.2017, Journal of Volcanology and Geothermal Research</strong></p>
Surface velocities due to the Southern San Andreas Fault from Sentinel-1 InSAR data
<p>Line of sight (LOS), fault-parallel, and vertical velocities in the area around the Southern San Andreas Fault in California, USA. Gzipped tar archive. All data are in Generic Mapping Tools (GMT) Netcdf format. </p>
Dataset of "Effect of impact velocity and angle on deformational heating and post-impact temperature"
<p>This dataset contains input files for iSALE-3D and Data Set for the paper "Effect of impact velocity and angle on deformational heating and post-impact temperature" by S. Wakita et al.<br> <br> Please note that usage of the iSALE-3D code is restricted to those who have contributed to the development of iSALE-2D, and iSALE-2D is distributed on a case-by-case basis to academic users in the impact community. It requires a registration from the iSALE webpage (https://isale-code.github.io/) and usage of iSALE-2D and computational requirements are also shown in there. Please also note that pySALEPlot in the current stable release of iSALE-2D (Dellen) would not work for the data from iSALE-3D.</p>
Data for "Estimation of Return Stroke Velocity by Time Reversal Reconstruction of Channel Feature Points"
<p>In the manuscript entitled “Estimation of Return Stroke Velocity by Time Reversal Reconstruction of Channel Feature Points”, station coordinates of the location system, simulation data, and experimental data can be obtained through the following attachment. These files can be opened by Matlab 2018(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citations.</p> <p> </p> <p>'IniationParameters_center.mat' is the coordinates of LFLLS stations and strike point (simulation).</p> <p>a) simulation_strike_point: coordinates of the return point (simulation).</p> <p>b) x0, y0, and z0: coordinates of LFLLS stations in x, y, and z directions.</p> <p> </p> <p>1. Simulation data (EE_zd: E-field waveforms (Unit V/m); Ee_zd: Electrostatic component of the E-field waveforms (Unit V/m); Ei_zd: Induction component of the E-field waveforms (Unit V/m); Er_zd: Radiation component of the E-field waveforms (Unit V/m); T: times corresponding to the E-field waveforms; vv: RS velocity condition; tort_x, tort_y, and tort_z: Coordinates of segmented channels).</p> <p>'Simulation_Vertical_channel_Ez_V1.mat' is the vertical channel E-field waveforms calculated under the RS velocity condition V1.</p> <p>'Simulation_Vertical_channel_Ez_V2.mat' is the vertical channel E-field waveforms calculated under the RS velocity condition V2.</p> <p>'Simulation_Vertical_channel_Ez_V3.mat' is the vertical channel E-field waveforms calculated under the RS velocity condition V3.</p> <p>'Simulation_Inclined_channel_Ez.mat' is the inclined channel E-field waveforms calculated under the RS velocity condition V1.</p> <p>'Simulation_Tortuous(randomly)_channel_Ez.mat' is the tortuous channel (randomly) E-field waveforms calculated under the condition of RS velocity constant.</p> <p>'Simulation_Tortuous_channel_Ez.mat' is the tortuous channel E-field waveforms calculated under the RS velocity condition V1.</p> <p> </p> <p>2. Experimental data</p> <p>'2020-08-09-002418-905.5ms(0.4)-siteidx(12346).mat' is the E-field original waveforms of -CG002418.RS2.</p> <p>a) wave: E-field original waveforms of -CG002418.RS2 (D.U.).</p> <p>b) time: times corresponding to the E-field waveforms.</p> <p> </p> <p>3. Figure data</p> <p>This folder contains the .fig format files of Figure 3 ~ 10 in the paper.</p>
Experimental data: Low-velocity out-of-plane impact tests on double-wythe unreinforced brick masonry walls instrumented with optical measurements
<p>This dataset includes the results of laboratory impact tests conducted on natural-scale double-wythe unreinforced brick masonry walls. The walls were spanning vertically between two reinforced concrete slabs and were subjected to low-velocity drop-weight pendulum tests in which they were repeatedly hit until the opening of a breach in the center of the wall. The tests were instrumented with both hard-wired and optical measurements, the latter consisting of high-speed cameras and digital image correlation techniques. Investigated in these tests were the out-of-plane response of the walls and their capacity to resist the impacts. The axial load applied on the top of the walls was varied for two wall configurations and monitored throughout the tests to study the effect of arching on the failure mechanism produced and number of repeated hits needed to open the breach. Of interest was also the evidence of cracking, more specifically the way it initiated on the undamaged walls and next propagated upon consecutive hits. </p> <p>The data generated from the tests is made here available and documented to support further investigations on masonry structures subjected to extreme actions. The dataset includes four ZIP files, ordered from 01 to 05, along with an auxiliary PDF document describing the content and organization of the data. </p> <p>Test implementation and test results that are built upon this data are presented and discussed in the following research article:</p> <blockquote> <p><a href="https://www.sciencedirect.com/science/article/pii/S0734743X23001082?via%3Dihub">Godio M, Flansbjer M, Williams Portal N (2023) Low-velocity out-of-plane impact tests on double-wythe unreinforced brick masonry walls instrumented with optical measurements, International Journal of Impact Engineering</a></p> </blockquote> <p>To cite this data in your work please refer to the article.</p> <p>The Authors</p>
Vertical velocity maps for the Nice Côte d'Azur airport measured by InSAR
<p>The present datasets consists in three InSAR velocity maps in mm/yr (vertical land velocity) that shows the ongoing Nice Côte d'Azur airport subsidence from 1992 until today. The three velocity maps have been computed from SAR data acquired by three succesive ESA missions (ERS, Envisat, and Sentinel-1).</p>
Climate velocity and land-use instability
<p>Climate and land-use dataset to support "Climate and land-use risk assessment for Earth's remaining wilderness". Dataset are in Mollweide equal area projections and 24-km resolution, for baseline (1971-2005) and projected (2016-2050) periods. Temperature and precipitation velocities is based on CORDEX climate data averaged across three GCMs (including, MOHC-HadGEM2-ES, MPI-M-MPI-ESM-LR and NCC-NorESM1-M). Land-use velocity is based on land-use harmonisation dataset (LUH2 v2h and LUH2 v2f).</p>
Ice thickness and surface velocities for the manuscritpt Mass balance and stability of ice tongues in the Western Ross Sea
<p>The data set contains:</p> <p>ICESat-2 derived point ice thickness for 9 ice tongues in csv format</p> <p>Surface average velocities derived from the ASF Vertex platform on demand HYP3 autoRIFT velocity product for 9 ice tongues.</p>
State of the Art in Exoplanets Observing Methods: Radial Velocity and Transit
<p>Recording of the presentation given at the Summer School</p>
TEAMx-PC22 (TEAMx pre-campaign 2022) - Animations of radial velocity and coplanar-retrieved horizontal wind fields from KITcube Leosphere/Vaisala Windcube WLS200s-124 and WLS200s-159
<p><strong>Abstract</strong></p> <p>This data set was collected during the TEAMx pre-campaign in summer 2022 (TEAMx-PC22) in the Inn Valley Target Area, Austria.</p> <p><strong>Data Description</strong></p> <p>This data set is comprised of 64 daily .mp4 files showing:</p> <ul> <li>post-processed radial velocity fields sampled by KITcube Leosphere/Vaisala Windcube WLS200s-124 and WLS200s-159</li> <li>their coplanar-retrieved horizontal wind field output</li> <li>additionally, horizontal wind speed and direction sampled by the KITcube Vaisala Windcube v2.1 (WLS7-1489) at 60-m above ground level is added as an independent measurement for subjective validation of the coplanar-retrieved wind</li> </ul> <p>The wind fields shown in the animations originate from an accompanying Zenodo data set (DOI: 10.5281/zenodo.7212801), where complete information concerning lidar locations, scan parameters, and post-processing may be found.</p>
Single-crystal elasticity of phase E at high pressure and temperature: Implications for the low-velocity layer atop the 410-km depth
<p>This is the dataset for the paper "Single-crystal elasticity of phase E at high pressure and temperature: Implications for the low-velocity layer atop the 410-km depth".</p>
Posteriors for the spatial pm model and radial velocity model
<p>Posterior samples for the spatial pm model and line-of-sight velocity model. Labels of parameters are included in the npz file.</p>
Dataset: Transient subglacial water routing efficiency modulates ice1 velocities prior to surge termination on Sít' Kusá, AK
<p>These files complement the data in <em>Transient subglacial water routing efficiency modulates ice1</em><br><em>velocities prior to surge termination on Sít’ Kusá, AK, </em>submitted to Journal of Glaciology. </p> <p>They contain the following: </p> <ul> <li>SK_runoff.csv: spatially integrated surface runoff modelled from climatic variables with the Energy Balance Firn Model (https://github.com/wardvp/EBFM-glacier). File header gives further detailed information, including location coordinates for which the surface runoff is computed.</li> <li>SK_GHT_3_10Hz.csv: file containing the median tremor time series summed between 3 and 10 Hz, which we associate with glaciohydraulic tremor. </li> <li>SK_lags_GHT.csv: file containing the 3-6 day period lag times between station pairs, when GHT signal coherence is >0.7, computed with wavelet coherence as outlined in the paper. </li> </ul> <p> </p>
numerical data to accompany "Strong asymmetry in near-fault ground velocity during an oblique strike-slip earthquake revealed by waveform particle motions and dynamic rupture simulations"
<p>This is the numerical data to accompany the paper "Strong asymmetry in near-fault ground velocity during an oblique strike-slip earthquake revealed by waveform particle motions and dynamic rupture simulations". Please refer to the README.txt file for information about the individual datasets and archive files. </p>
The raw position time series of 4 continous GNSS sites (YAAN, QLAI, CHDU, PIXI) and the final GNSS velocity solution of the Chengdu-Chongqing economic area (CCEA)
Open the record for dataset details and reuse information.
Datasets containing velocity gradients and their residual vorticity magnitude.
<p>This repository contains 4 datasets:</p> <p> </p> <ol> <li>validation dataset</li> <li>100k entry testing dataset</li> <li>non-sampled training dataset</li> <li>training dataset consisting of 2 part which will be used for training over sampled data </li> </ol>
Shear wave velocity profiles from Italian Seismic Microzonation project
<p>The dataset SMDB contains the shear wave velocity profiles from Italian Seismic Microzonation project (14,897 profiles).</p> <p>The records are:</p> <p>-survey id;</p> <p>-survey latitude and longitude in UTM33N coordinates;</p> <p>-survey type;</p> <p>-depth in meters;</p> <p>-shear wave velocity value (Vs) in m/s;</p> <p>-seismic microzonation (SM) cluster id.</p> <p>The file percentile_sigma_ln_vs.csv contain sigma lnvs in depth for the three percentiles 16,50,84.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.