Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
86
datasets available to search
ShareScore release 0.9.0
Dataset results
86 results for “velocity measurement”
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>
Current velocities measured by HF radars in Gulf of Trieste - April 2012
<p>CODAR SeaSonde HF-radar derived surface ocean velocity in the Gulf of Trieste during the TOSCA experiment - April 2012</p> <p>TOSCA - Tracking Oil Spill and Coastal Awareness, http://www.tosca-med.eu</p> <p>Sensors (CODAR SeaSonde HF Radars) property and data retrieval --> CNR-ISMAR, La Spezia;</p> <p>Sensors installation and operation --> OGS</p>
Fast measurement of angular velocity in air-driven flat rotors with periodical features - Supplementary Data
<p>Supplementary Movie and data files used for generating Figure 4 in the main text. The files are compressed pickled pandas Dataframes and can be read with:</p> <pre><code class="language-python">import pandas as pd df = pd.read_pickle('/folder/file.xz', compression='xz')</code></pre> <p>Along with those files there are .txt files containing the physical information of each experiment.</p>
Data used in: Low Velocity Zones in the Martian Upper Mantle Highlighted by Sound Velocity Measurements
<p>Data used in</p> <p> </p> <p><strong>Low Velocity Zones in the Martian Upper Mantle Highlighted by Sound Velocity Measurements</strong></p> <p>F. Xu<strong><sup>1,</sup></strong><sup>†<strong>,</strong>‡</sup><strong>,</strong>, N. C. Siersch<sup>1<strong>,</strong>‡</sup>, S. Gréaux<sup>2</sup>, A. Rivoldini<sup>3</sup>, H. Kuwahara<sup>2,4</sup>, N. Kondo<sup>2</sup>, N. Wehr<sup>5</sup>, N. Menguy<sup>1</sup>, Y. Kono<sup>2</sup>, Y. Higo<sup>6</sup>, A.-C. Plesa<sup>7</sup>, J. Badro<sup>5</sup>, D. Antonangeli<sup>1</sup></p> <p><sup>1</sup> Sorbonne Université, Muséum National d‘Histoire Naturelle, UMR CNRS 7590, Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie, IMPMC, Paris, France</p> <p><sup>2</sup> Geodynamics Research Center, Ehime University, Matsuyama, Japan</p> <p><sup>3</sup> Royal Observatory of Belgium, Brussels, Belgium</p> <p><sup>4</sup> Institute for Planetary Materials, Okayama University, Misasa, Tottori, Japan</p> <p><sup>5</sup> Université de Paris, Institut de physique du globe de Paris, CNRS, Paris, France</p> <p><sup>6</sup> Japan Synchrotron Radiation Research Institute, SPring-8, Hyogo, Japan</p> <p><sup>7</sup> DLR Institute of Planetary Research, Berlin, Germany</p> <p> </p> <p>Corresponding author: Daniele Antonangeli (<a href="mailto:email@address.edu)">daniele.antonangeli@upmc.fr)</a></p> <p><sup>†</sup> Current address: Department of Earth Sciences, University College London, London, United Kingdom</p> <p><sup>‡</sup> Equal contributing authors</p> <p> </p> <p> </p>
Flow velocity measurements over a migrating train of dunes in a flume in the laboratory
<p>Acoustic Doppler Velocimeter (ADV) measurements conducted over a migrating train of dunes in a flume in the laboratory. The files with an .ntk extension are the raw data as measured and recorded by the instrument (Nortek Vectrino Profiler) and those with an extension .mat are the raw data as exported from the original software into a MatLab readable file format. <br> The data was used to create a streamwise flow velocity profile in the publication associated with this dataset. <br> File names have a nominal distance to the bed in mm expressed by the numbers at the end of the name. For example, 00_10 indicates measurements from 0 to 10 mm. However, as the measurements were conducted over a migrating train of dunes, those numbers are not as precise. However, the instrument records the distance to the bed and it is available inside the files. The distance inside the files is the one used to create the figure for the publication. <br> <br> In the upcoming publication the data was used to plot figure 4(d)<br> <br> The figure is available as 4D in the preprint found in this link: https://www.researchsquare.com/article/rs-1370465/v1</p> <p> </p>
Flow velocity measured from MacKay River Estuary, Georgia, USA
<p><strong>Title: </strong>Flow velocity measured from MacKay River Estuary, Georgia, USA</p> <p><strong>Author: </strong>Li, Chunyan</p> <p><strong>Contact/PI: </strong>Li, C. (cli@lsu.edu)</p> <p><strong>Description:</strong></p> <p>The data provided here are measured flow velocity profiles from a moving vessel in the MacKay River Estuary in Georgia, USA. The survey was done on March 31 16, 2003. Time is UTC.</p> <p>There is only 1 file. The instrument was a 1200 kHz RDI ADCP. The file is in ASCII format. It is output from the RDI’s program WinRiver II. The file name is:</p> <p>March31_MackayRiver002_ASC.TXT</p>
Data from: Validation of surface wave spectral measurements from velocity profiling floats
Open the record for dataset details and reuse information.
Data from: A method of separating linear internal wave and vortical mode energies using shipboard ADCP velocity measurements
Open the record for dataset details and reuse information.
AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov-Arnold Networks
Open the record for dataset details and reuse information.
Eddy flux measurements and transfer velocities of momentum, sensible heat, water vapor, and sulfur dioxide at Scripps Pier
Open the record for dataset details and reuse information.
Velocity vector files from PIV measurements of the wake behind a flying beetle
<p>These are the velocity vector files from the PIV measurements in the wake of <em>Batocera rufomaculata </em>flying tethered in a wind tunnel. The data correspond to the manuscript: </p> <p><b>The aerodynamics and power requirements of forward flapping flight in the mango stem borer beetle (<i>Batocera rufomaculata</i>)</b>, by Urca et al. published by the journal Integrative Organismal Biology. </p> <p>The abstract of the coresponding paper is: </p> <p>The need for long dispersal flights can drive selection for behavioral, physiological and biomechanical mechanisms to reduce the energy spent flying. However, some energy loss during the transfer of momentum from the wing to the fluid is inevitable, and inherent to the fluid-wing interaction. Here, we analyzed these losses during the forward flight of the mango stem borer (<i>Batocera rufomaculata</i>). This relatively large beetle can disperse substantial distances in search of new host trees, and laboratory experiments have demonstrated continuous tethered flights that can last for up to an hour. We flew the beetles tethered in a wind tunnel and used high-speed videography to estimate the aerodynamic power from their flapping kinematics and particle image velocimetry (PIV) to evaluate drag and kinetic energy from their unsteady wakes. To account for tethering effects, we measured the forces applied by the beetles on the tether arm holding them in place. The drag of the flying beetle over the flapping cycle, estimated from the flow fields in the unsteady wake, showed good agreement with direct measurement of mean horizontal force. Both measurements showed that total drag during flight is ~5-fold higher than the parasite drag on the body. The aerodynamic power estimated from both the motion of the wings, using a quasi-steady blade-element model, and the kinetic energy in the wake, gave mean values of flight-muscle mass-specific power of 87 and 65 W kg muscle<sup>-1</sup>, respectively.<sup> </sup>A comparison of the two values suggests that ~25% of the energy is lost within the fluid due to turbulence and heat. The muscle mass-specific power found here is low relative to the maximal power output reported for insect flight muscles. This can be attributed to reduced weight support during tethered flight or to operation at submaximal output that may ensure a supply of metabolic substrates to the flight muscles, thus delaying their fatigue during long-distance flights. </p>
Supplemental dataset from: Initial acoustoelastic measurements in olivine: Investigating the effect of stress on P- and S-wave velocities
<p>It is well known that elasticity is a key physical property in the determination of the structure and composition of the Earth and provides critical information for the interpretation of seismic data. This study investigates the stress-induced variation in elastic wave velocities, known as the acoustoelastic effect, in San Carlos olivine. A recently developed experimental ultrasonic acoustic system, the Directly Integrated Acoustic System Combined with Pressure Experiments (DIASCoPE), was used with the D-DIA multi-anvil apparatus to transmit ultrasonic sound waves and collect the reflections. We use the DIASCoPE to obtain longitudinal (P) and shear (S) elastic wave velocities from the sample which we compare to our known stress state in the D-DIA derived from synchrotron X-ray diffraction. We use elastic-plastic self-consistent (EPSC) numerical modeling to forward model X-ray diffraction data collected in D-DIA experiments to obtain the macroscopic stress on our sample. We can observe the relationship between the relative elastic wave velocity change (ΔV/V) and macroscopic stress to determine the acoustoelastic constants, and interpret our observations using the linearized first-order equation based on the model proposed by Hughes and Kelly (1953). This work supports the presence of the acoustoelastic effect in San Carlos olivine, which can be measured as a function of pressure and temperature. This study will aid in our understanding of the acoustoelastic effect and provide a new experimental technique to measure the stress state in elastically deformed geologic materials at high pressure conditions.</p>
Rayleigh wave H/V and phase velocity measurements of "3D Shear Wave Velocity Model of Salt Lake Valley via Rayleigh Wave Ellipticity Across a Temporary Geophone Array"
<p>This file includes Rayleigh wave H/V and phase velocity measurements of the paper "3D Shear Wave Velocity Model of Salt Lake Valley via Rayleigh Wave Ellipticity Across a Temporary Geophone Array" in journal The Seismic Record by Qicheng Zeng, Fan-Chi Lin, and Amir A. Allam. Detailed desciption in README in the zip file.</p>
Calibration of a movable heat pulse probe in borehole for measuring horizontal groundwater flow velocity in deep aquifers
<ol> <li>The first file is the flow profile data calculated by analytical solution in the steady-state flow. The calculation region is 30cm×30cm.</li> <li>The secend file is the temperature response data calculated by finite difference method. The simulated temperature response data corresponding to all heat pulse experiments are calculated and listed here.</li> </ol>
Calibration of a movable heat pulse probe in borehole for measuring horizontal groundwater flow velocity in deep aquifers
<ul> <li>In the laboratory, 42 heat pulse experiments with 7 different Darcy’s velocities and 6 different heating powers had been done. The results are summarized in a relationship of temperature increase with time.</li> <li>The temperature responses were continuously monitored over a 30min period. Data were collected every 2s throughout the recording period. In order to strictly monitor the actual power to the heater, the voltage and current delivered to the heater were also recorded simultaneously with the temperature.</li> <li>The heater was switched on and lasted for 1 min to generate a heat pulse. The time when the heater was switched on was selected as the initial time of data analysis.</li> </ul>
Processed receiver function data, dispersion measurement, and shear velocity model (Dharwar)
<p>Processed receiver function data at 1 sample per second, dispersion measurement, and shear velocity model (Dharwar).</p>
Measurement of Heart-carotid Pulse Wave Velocity (hcPWV) by Laser Doppler Vibrometry (LDV)
ClinicalTrials.gov study NCT05711693. IPD Sharing: NO. Countries: 1. Publications: 1.
Assessment of Agreement Between Two Measurement Methods of Left Ventricular Outflow Tract (LVOT) Velocity Time Integral (VTI)
ClinicalTrials.gov study NCT04360304. IPD Sharing: NO. Countries: 1. Publications: 1.
Sensitivity of Load-Velocity Measures for Detecting Fatigue During Smith-Machine Squats
ClinicalTrials.gov study NCT07307963. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
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.