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280 results for “ultrasonic”
Dataset on full ultrasonic guided wavefield measurements of a CFRP plate with fully bonded and partially debonded omega stringer
<p>The fourth dataset dedicated to the <a href="http://openguidedwaves.de/">Open Guided Waves</a> platform presented in this work aims at a carbon fiber composite plate with an additional omega stringer at constant temperature conditions. The dataset provides full ultrasonic guided wavefields. </p> <p>A chirp signal in the frequency range 20-500 kHz and Hann windowed tone-burst signal with 5 cycles and carrier frequencies of 16.5 kHz, 50 kHz, 100 kHz, 200 kHz and 300kHz are used to excite the wave. The piezoceramic actuator used for this purpose is attached to the center of the stringer side surface of the core plate.</p> <p><br> Three scenarios are provided with this setup: (1) wavefield measurements without damage, (2) wavefield measurements with a local stringer debond and (3) wavefield measurements with a large stringer debond. The defects were caused by impacts performed from the backside of the plate. As result, the stringer feet debonds locally which was verified with conventional ultrasound measurements.</p> <p>The dataset can be used for benchmarking purposes of various signal processing methods for damage imaging.</p> <p>The detailed description of the dataset is published in Data in Brief Journal [3].</p>
Database of Ultrasonic Transducer Radiation Characteristics
<p>Database of measurements of different properties of ultrasonic transducers of different types.</p> <ul> <li>On-axis frequency response measurements of multiple copies of the same transducer model, measured between 20 kHz and 160 kHz in an anechoic space. </li> <li>Directivity patterns of multiple copies of the same transducer model, measured for every degree in an anechoic space. Calculated for every 10 Hz between 20 kHz and 160 kHz.</li> <li>Frequency response measurements for every degree for a single transducer of each type, measured between 20 kHz and 160 kHz in an anechoic space.</li> </ul> <p>The datasets are stored in HDF5 files created using h5py. An example Jupyter notebook is included to show how the plots were created.</p> <p> </p> <p>The transducers measured are:</p> <ul> <li>Murata MA40S4S</li> <li>Camdenboss CDT40K1007T</li> <li>Multicomp MCUST10P40B07RO</li> <li>Multicomp 400PT16P</li> <li>Multicomp MCUSD14A40S09RS</li> <li>Multicomp MCUSD14A48S09RS</li> <li>Multicomp MCUSD14A58S09RS</li> </ul>
[Dataset] In situ laser-ultrasonic monitoring of Poisson's ratio and bulk sound velocities of steel plates during thermal processes
<p>Data generated and analyzed in the work titled "In situ laser-ultrasonic monitoring of Poisson’s ratio and bulk sound velocities of steel plates during thermal processes". See the associated publication for more context.</p> <p>All files are stored in Matlab's binary MAT-file format.</p> <ul> <li>cutOffs_ZGVs_nu_S1S2_A2A3_S3S6_A4A7.mat <ul> <li>Dispersion relation data of plates obtained from numerical calculation with a range of Poisson's ratios and otherwise arbitrary but fixed material properties.</li> <li>S1S2-, A2A3-, S3S6- and A4A7-ZGV resonance frequencies and k-values</li> <li>L1 and T1 thickness resonance frequencies</li> </ul> </li> <li>lusResults_jmat_dilatometry_data.mat <ul> <li>LUS measurement data and resulting material properties (raw displacement data recorded on the oscilloscope is stored separately to keep the file size reasonable.)</li> <li>Dilatometer measurements</li> <li>JMatPro simulation</li> </ul> </li> <li>lusOscilloscope_data.mat <ul> <li>Normal surface displacement measurement data obtained in situ with LUS and recorded with an oscilloscope</li> </ul> </li> </ul>
[Dataset] Simultaneous laser ultrasonic measurement of sound velocities and thickness of plates using combined mode local acoustic spectroscopy
<p>Research data for the purpose of reproducing the results presented in the journal publication titled "Simultaneous laser ultrasonic measurement of sound velocities and thickness of plates using combined mode local acoustic spectroscopy"</p>
Test shapes for ultrasonic testing coverage path planning
<p>This data set contains different geometric objects. The main intention of these it to test robotic coverage path planning with an ultrasound sensor.</p>
Ultrasonic guided-waves in quasi-isotropic and cross-ply composite beams using a finite element model
<p>Ultrasonic guided-wave data taken from numerical evaluations of a finite element model (FEM) considering two composite beam structures and applying three noise levels in signal-to-noise ratio (SNR):</p> <ul> <li>Quasi-isotropic carbon fiber composite beam (dimensions: 1m x 4mm x 2mm) with a [+45/-45/90/0]_s layup and a transverse crack (1mm deep at 0.40m from excitation) in it and the following noise levels (the file directories are specified in parentheses): <ul> <li>Noisefree (/Quasi-Isotropic_Crack/Noisefree/MeasurementCrack_NF.mat)</li> <li>SNR 10 dB (/Quasi-Isotropic_Crack/SNR_10dB/MeasurementCrack_10dB.mat)</li> <li>SNR 5 dB (/Quasi-Isotropic_Crack/SNR_05dB/MeasurementCrack_5dB.mat)</li> </ul> </li> <li>Cross-ply carbon fiber composite beam (dimensions: 1m x 3mm x 2mm) with [0_{2}/90]_s stacking sequence and a delamination (5mm long at 0.45m from excitation) in it and the following noise levels: <ul> <li>Noisefree (/Cross-Ply_Delam/Noisefree/MeasurementDelam_NF.mat)</li> <li>SNR 10 dB (/Cross-Ply_Delam/SNR_10dB/MeasurementDelam_10dB.mat)</li> <li>SNR 5 dB (/Cross-Ply_Delam/SNR_05dB/MeasurementDelam_5dB.mat)</li> </ul> </li> </ul> <p>FEM notes: solid elements (i.e. C3D8R in Abaqus) with the following dimensions: 0.5mm thick, 0.5mm width, and 0.2mm long. Damage modes are modeled by node duplication.</p> <p>Ultrasonic tests data: 6-cycle Hanning windowed sinusoid centered at 100 kHz of frequency. Excitation signal at one end of the beam in the vertical direction. Sensor situated at 0.2m from the point of excitation and measuring for 720 \mu s. First antisymmetric mode (A0) is excited.</p>
Ultrasonic guided-wave experiment data for manuscript entitled 'A homogenisation scheme for Lamb ultrasound wave dispersion in textilecomposites through multiscale wave and finite element modelling'
<p>This data set contains the ultrasonic guided wave signals (signal amplitudes as a function of time for different sensors) that were generated and recorded using the transducers and controlling instrument in support of the manuscript entitled 'A homogenisation scheme for Lamb ultrasound wave dispersion in textile composites through multiscale wave and finite element modelling'. The controlling software was programmed in MATLAB and that the attached files are in accordance to the .mat file format.</p> <p>The file names follow the notation described below with an example:</p> <p>S1_10kHz_2cyc (illustrated with an example): S1 represents the number of sensors; 10kHz represents the exciting frequency; 2cyc represents the cycle number of input waveform.</p> <p>Details on the experiment setup are provided within an extra file ('Readme' file).</p>
Supporting materials for manuscript entitled 'Ultrasonic Isolation of Buried Pipes'
<p>This set contains data in support of some of the figures appearing in an open access manuscript entitled 'Ultrasonic Isolation of Buried Pipes' that is published at the Journal of Sound of Vibration (DOI:10.1016/j.jsv.2015.10.018).</p> <p>The data set contains ultrasonic guided wave attenuation measurements performed on a full-scale experimental rig, and model simulations output obtained using the software Disperse. The data set contains three files. Details on the specific data is provided within an extra file ('readme' file).</p>
Data for : Effects of electrokinetic and ultrasonication pre-treatment and two-step anaerobic digestion of biowastes on the nitrogen fertiliser value by injection or surface banding to cereal crops
<p>Data file for article: Effects of electrokinetic and ultrasonication pre-treatment and two-step anaerobic digestion of biowastes on the nitrogen fertiliser value by injection or surface banding to cereal crops (https://doi.org/10.1016/j.jenvman.2022.116699).</p>
evaluation data for "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)"
<p>Data contains sound files of mouse vocalization needed to reproduce the evaluation results for "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)"</p> <p>If you use any of this data, cite the original source: <a href="https://doi.org/10.1016/j.anbehav.2020.09.006">https://doi.org/10.1016/j.anbehav.2020.09.006</a></p>
Dataset - mouse spontaneous ultrasonic vocalizations
<p>This datasets includes all data used in our study " LMT USV Toolbox, a novel methodological approach to place mouse ultrasonic vocalizations in their behavioral contexts – A study in female and male C57BL/6J mice and in Shank3 mutant females". A "readme" file describes the type of analyses based on each data file.</p>
Code & Data from: Development of a low cost open-source ultrasonic device for plant height measurements
<p>We here provide code and data for the study "Development of a low cost open-source ultrasonic device for plant height measurements"</p> <p>Code:<br> - Arduino code (management of the electronic circuit): "Arduino_ultrasonic_sensor.ino"<br> - OpenSCAD code (3D-printing): "3DShells_ultrasonic_sensor.scad"<br> - R code (statistical analysis of field test): "Statistical_analysis.R"</p> <p>Data:<br> - "manual_vs_sensor_controlled.csv": this file contains the comparison between the ultrasonic device and the ruler in standardized laboratory conditions. It has three columns: "manual_value", the height value measured manually; "sensor_value", the height value obtained from the ultrasonic device; "height_range", the interval to which the height value belongs (we worked with 25 cm intervals).<br> - "manual_vs_ruler_field.csv": this file contains the comparison between the ultrasonic device and the ruler in field conditions. Plant height measurements were performed on 26 sorghum genotypes. The file has four columns: "Genotype", the id of the measured genotype; "rep" the replicate (3 plants were measured for each genotype); "manual_value", the height value measured manually; "sensor_value", the height value obtained from the ultrasonic device. When using the ruler, the operator spent 15 min and 23 s to complete all measurements in the field, and 3 min and 27 s to enter all data manually in a digital file. When using the sensor, the operator spent 10 min and 52 s to complete all measurements in the field, and manual transcription was not needed since all measurements are instantaneously saved on an SD card.</p> <p>More details on the experimental data can be found in the article "Development of a low cost open-source ultrasonic device for plant height measurements".</p> <p>We also provide a tutorial to explain how to build the ultrasonic-sensor ("tutorial.docx")</p>
Cow drinking monitoring tests with ultrasonic sensor setup Aug 12th and Sep 20th, 2022
<p>We tested a device that could potentially be developed for use in large scale drinking monitoring of individual animals. Our setup consisted of two plastic cylindrical containers having the inner diameter of 275 millimeters. On top of the other cylinder were placed two ultrasonic sensors that measured the distance to the water level in the container. The containers were connected with a hose (inner diameter 25 millimeters) so that the water level on both containers was always the same. Faucets shown on the image were completely open during the experiments that took place on August 12th and September 20th, 2022. Cows were able to freely access and drink from the second container which had the height of 100 centimeters in the first experiment and reduced height of 80 centimeters in the second experiment. </p> <p>Two ultrasonic sensors were used and they were JSN-SR04T-2.0 ja Maxbotix MB7389. Sensors were connected to circuit board V2 ESP8266 Development Board (CH341) from which measurements were collected to a PC programmatically at about 0.3 second intervals. Both sensors had the resolution of 1 millimeter which corresponds to 0.6 liters in the used containers.</p> <p>Image of the setup and its installation during the experiment are shown in the photographs. There was a small leakage in the container as is seen in the data (slow and constant decrease of water level). In the first experiment, the leakage was compensated by continuous flow of water after 17:30. On other times the containers were filled manually.</p> <p>Videos are taken with no particular plan but, instead, when something interesting was seen. Timestamp in the filename refers to the starting time of the video in format YYYYMMDD_HHMMSSsss.</p> <p>All times refer to Finnish time UTC+3.</p> <p>Data and videas are shared with the following license: Creative Commons ByAttribution (CC-BY).</p>
Ultrasound-driven degradation data for GenX, PFOA and PFOS at different ultrasonic frequencies and power densities
<p>The spreadsheet contains the individual and mixture degradation data for three different PFAS type representatives: PFOA, PFOS, and GenX.</p> <p>All PFAS stock solutions were prepared in ultrapure water.</p> <p>The data was generated by sampling from 500 mL batches of PFAS stock solutions irradiated with ultrasound at predetermined time intervals.</p> <p>The document contains separate tabs for the individual degradation of the 3 PFAS, as well as the mixture degradation data.</p> <p>In addition to PFAS concentrations, fluoride concentrations measured with an ion-selective electrode are shared.</p>
Quantifying Fatigue-Damage and Failure-Precursors using Ultrasonic Coda Wave Interferometry
<p>Data sets for the Publication "Quantifying Fatigue-Damage and Failure-Precursors using Ultrasonic Coda Wave Interferometry".</p>
Ultrasonic velocity measurements of lunar regolith simulant at low confining pressures with variable ice content
<p>This dataset was created by Christopher Chance Amos during completion of a PhD degree in Space Resources</p><p>at Colorado School of Mines. This data was collected during Spring 2023.</p><p> </p><p>This dataset includes compressional and shear raw collected waveforms as well as interpreted velocities</p><p>from first-break picking. See the README files in subdirectories for explanations of individual files.</p><p> </p><p>The purpose of this dataset is to serve as a foundation and calibration for seismic modeling of the lunar</p><p>near-surface. These models will be used to determine if seismic methods are feasible for characterizing</p><p>the quantity and form of lunar subsurface ice deposits.</p>
USCMed Dataset - Rat Ultrasonic Vocalizations
<p>The USCMed dataset is included as an open-access dataset in the paper, "A Reliable and Efficient Detection Pipeline for Rodent Ultrasonic Vocalizations" which was published at the 7th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2025). This dataset was generated from experiments (approved by the University of South Carolina Institutional Animal Care and Use Committee) conducted at the University of South Carolina School of Medicine.</p> <p>The USCMed dataset contains audio recordings and hand-scored annotations of 27 male rats for the Context trial (details in the paper). Note that, there are empty CSV files in the annotations directory for the audio recordings where no USV calls were found by human experts.</p>
Local Ultrasonic Resonance Spectroscopy: A Demonstration on Plate Inspection - Dataset
<p><em><strong>The peer-reviewed publication using this dataset has been published in the Journal of Nondestructive Evaluation, and can be accessed via <a href="https://doi.org/10.3390/epidemiologia2030024">https://doi.org/10.1007/s10921-020-00674-5</a>. Please cite this article when using the dataset.</strong></em></p>
Triaxial cycling loading of Westerly granite: Mechanical and Ultrasonic data
<p>Data obtained from triaxial cyclic loading experiments conducted on dry Westerly granite at confining pressure ranging from 40 to 120 MPa.</p> <p>Text files (.txt) are raw, unprocessed time series of mechanical data including load, shortening and radial and axial strain gauge measurements. Except noted, units are in Volts. Strain gauge voltages can be converted into strain using gauge factor of 2.11 and amplification factor of 40. External shortening can be converted to sample shortening using a machine stiffness of 480 kN/mm.</p> <p>Raw ultrasonic data are combined in folders named BSF*. Data format is binary, and can be read using ASC ltd. software "Insite".</p> <p>Files "sensors.txt" contain ultrasonic sensor positions and time offset corrections.</p>
Open access database of raw ultrasonic signals acquired from malignant and benign breast lesions
<p>The dataset presented in: H. Piotrzkowska-Wróblewska, K. Dobruch-Sobczak, M. Byra, A. Nowicki, "Open access database of raw ultrasonic signals acquired from malignant and benign breast lesions", Medical Physics, http://dx.doi.org/10.1002/mp.12538. </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.