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48 results for “Acoustic measurements”

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zenodo52/100

Acoustic noise radiation measurements of three disel-electric ferries

<p>This dataset contains measured noise radiation for three diesel-electric hybrid ferries, both in air and in water. The ferries have been measured in fully electric battery powered propulsion as well as in hybrid propulsion with the on-board diesel generator running.</p>

opencc-zeroDec 2023View details →
zenodo48/100

Paired field measurements of suspended-sediment concentration, turbidity, acoustic backscatter, and particle size compiled from various estuaries in the United States and Australia

<p>Field measurements of suspended-sediment concentration, turbidity, acoustic backscatter, and particle size are compiled from various estuaries in the United States and Australia to investigate the utility of combining optical and acoustic backscatter measurements for the estimation of suspended-sediment concentration under changes in floc particle size and density.&nbsp;</p> <p>Theory, analysis,&nbsp;and interpretation of the data is&nbsp;available in Livsey et al (2023).&nbsp;Data collected from the Chesapeake Bay, US were compiled from Fall et al (2022).&nbsp;Data collected on the Brisbane River were collected by&nbsp;Livsey et al (2022).&nbsp;&nbsp;Data collected for all other locations&nbsp;were compiled from Livsey et al (2022).&nbsp;&nbsp;</p> <p>Data collected by&nbsp;Fall et al (2022) utilized a LISST 100x. Data collected by&nbsp;Livsey et al (2022, 2023) utilized a LISST 200x. Data files for each instrument are provided.&nbsp;</p> <p>Funding for this research was provided by an Advance Queensland Industry Research Fellowship, Queensland University of Technology, and Queensland Department of Environment and Science.</p> <p>References</p> <p>Fall, Kelsey A., Massey, Grace M.,&nbsp;and Friedrichs, Carl T., (2020). The importance of organic content to fractal floc properties in estuarine surface waters, insights from video, LISST, and pump sampling: Supporting data. Data. William &amp; Mary. https://doi.org/10.25773/7gbc-794 6739</p> <p>Livsey, D., Turner, R., Grace, P., and Crosswell, &amp; Andy Steven. (2022). Field and laboratory measurements of suspended-sediment particle size and concentration from nine rivers draining to the Great Barrier Reef (1.0). Data. Zenodo. https://doi.org/10.5281/zenodo.6788303</p> <p>Livsey, D., Turner, R., and Grace, P. (2023). Combining optical and acoustic backscatter measurements for monitoring of fine suspended-sediment concentration under changes in particle size and density. Water Resources Research. <a href="https://doi.org/10.1029/2022WR033982">https://doi.org/10.1029/2022WR033982</a></p> <p>&nbsp;</p>

opencc-by-4.0Jul 2023View details →
zenodo44/100

Free-field sensitivity of four electro-acoustic measuring chains at 0° incidence angle in the frequency range 0.25 kHz to 100 kHz

<p>This dataset contains calibration data of the free-field sensitivity of four electro-acoustic measuring chains at 0&deg; incidence angle in the frequency range 0.25 kHz to 100 kHz. Each of the four channels consisted of a &frac14;&#39;&#39; externally polarized free-field measurement microphone of the condenser type GRAS 40 BF, a &frac14;&#39;&#39; preamplifier GRAS 26AC, a power module GRAS 12AQ and an FFT analyzer Ono Sokki CF-9400. The calibration data was acquired in the laboratory of the Physikalisch-Technische Bundesanstalt (PTB).</p>

opencc-by-4.0Jan 2020View details →
zenodo44/100

Acoustical measurements of a rabab reconstructed after a pictorial source from the 13th century (Cantigas de Santa María)

<p>Instrument: rabab<strong>&nbsp;</strong><br>Pictorial source:&nbsp;<i>Cantigas de Santa Maria</i>, <i>E</i>-Codex (<i>Códice de los músicos</i>), ca. 1284, fol. 118r, <i>Cantiga</i> 110, Madrid, San Lorenzo de El Escorial, Real Biblioteca del Monasterio del Escorial, Ms. b-I-2&nbsp;<br>Instrument maker: Thilo Hirsch&nbsp;<br>Year of manufacture: 2021&nbsp;<br>Location: Basel, property of the ensemble arcimboldo</p><p>Dimensions:&nbsp;<br>Total length: 468 mm&nbsp;<br>Max. Body width: 104 mm&nbsp;<br>Body depth: approx. 80 mm</p><p>Vibrating string lengths:&nbsp;<br>a-string: 403 mm&nbsp;<br>d-string: 401 mm</p><p>Materials:&nbsp;<br>Body: cherry&nbsp;<br>Pegbox: cherry&nbsp;<br>Fingerboard: maple&nbsp;<br>Bars: spruce&nbsp;<br>Nut/String attachment button: bone&nbsp;<br>Bridge: maple&nbsp;<br>Top: goatskin</p><p>The main aim of this research was to measure the acoustic effects of the different sound holes. To do this, the instrument was first measured with the two open rosettes on the fingerboard and then the upper one was sealed with a piece of wood (see photos of the setup).</p><p>Acoustical measurements: Alexander Mayer, mdw - University of Music and Performing Arts Vienna, Department of Music Acoustics – Wiener Klangstil (IWK), 25.9.2023</p><p>Force: Impact hammer exciting at the bass side of the bridge&nbsp;<br>ACC: Acceleration measured on the same side, close to the impact point.&nbsp;<br>Average is the average of all measurements (to be used in the analysis).</p><p>Photos of the setup: Thilo Hirsch</p><p>Folder cantigas_rosette_o_offen:&nbsp;<br>Files: cantigas_roo_1 to 6 &nbsp;(Description: upper rosette open)&nbsp;<br>File: cantigas_roo_do (Description: upper rosette open / damper moved between 2 rosettes)&nbsp;&nbsp;&nbsp;&nbsp;</p><p>Folder cantigas_rosette_o_zu:&nbsp;<br>Files: cantigas_roz_1 to 6 (Description: upper rosette closed with wooden sheet)</p><p>________________________</p><p>How to read VIA-Files:&nbsp;<br>Line 1 to 9: Header, Line 8 holds the number of values</p><p>Data is organized as followed: 1st col: Frequency [Hz], 2nd col: Magnitude [as Factor not dB!], 3rd col: Phase [rad]&nbsp;&nbsp;&nbsp; 4th col:&nbsp; Real part [as Factor not dB!] 5th col: Imaginary part [as Factor not dB!]. So only first 3 columns are needed</p><p>To get dB Value: Amplitude[dB] = 20 log [Magnitude]</p><p>Usually the Magnitude was calculated as response/reference (input) in the frequency domain. As for measuring the mechanical admittance the sensor is most likely an accelerometer (capturing the response in m/s2 of the object of interest) and the reference an impact hammer capturing the input force in Newton. As the mechanical admittance is defined as v/F (speed over force) the acceleration signal has to be integrated. The here captured signals are integrated in the frequency domain, what means the magnitude is divided by the corresponding frequency value in s-1.&nbsp;</p><p>Values coded like: 3.30750000000000E+1 -&gt; 3.3075 * 10 -&gt; 33.075</p>

opencc-by-4.0Nov 2023View details →
zenodo44/100

Acoustical measurements of a rabab reconstructed after a pictorial source from the 14th century

<p>Instrument: rabab<strong>&nbsp;</strong><br>Pictorial source:&nbsp;Francesc Comes, <i>Madonna and Child with angel musicians</i>, around 1394, Gold and tempera on wood, Pollença (Mallorca), Museu de Pollença&nbsp;<br>Instrument maker: Thilo Hirsch&nbsp;<br>Year of manufacture: 2022&nbsp;<br>Location: Basel, property of the ensemble arcimboldo</p><p>Dimensions:&nbsp;<br>Total length: 579 mm&nbsp;<br>Max. Body width: 112 mm&nbsp;<br>Body depth: approx. 95 mm&nbsp;</p><p>Vibrating string lengths:&nbsp;<br>d-string: 500 mm&nbsp;<br>G-string: 497 mm</p><p>Materials:&nbsp;<br>Body: cherry&nbsp;<br>Pegbox: cherry&nbsp;<br>Fingerboard: serviceberry&nbsp;<br>Bars: spruce&nbsp;<br>Nut/String attachment button: bone&nbsp;<br>Bridge: boxwood&nbsp;<br>Top: goatskin</p><p>The main aim of this research was to measure the acoustic effects of the different sound holes. To do this, the instrument was first measured with the upper rosette and the two holes in the body closed, then with both rosettes and the body holes open, and finally only with the body holes closed.</p><p>Acoustical measurements: Alexander Mayer, mdw - University of Music and Performing Arts Vienna, Department of Music Acoustics – Wiener Klangstil (IWK), 25.9.2023</p><p>Force: Impact hammer exciting at the bass side of the bridge&nbsp;<br>ACC: Acceleration measured on the same side, close to the impact point.&nbsp;<br>Average is the average of all measurements (to be used in the analysis).</p><p>Photos of the setup: Thilo Hirsch</p><p>Folder comes_rosette_o_loecher_zu&nbsp;<br>Files: comes_rolz_1 to 6 (Description: upper rosette closed with wooden sheet, body-holes closed)</p><p>Folder comes_rosette_oO_loecher_offen&nbsp;<br>Files: comes_roo_lo_1 to 6 (Description: rosette open , body-holes open)</p><p>Folder comes_rosette_oO_loecher_zu&nbsp;<br>Files: comes_roo_lz_1 to 6 (Description: rosette open , body-holes closed)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p><p>________________________</p><p>How to read VIA-Files:</p><p>Line 1 to 9: Header, Line 8 holds the number of values</p><p>Data is organized as followed: 1st col: Frequency [Hz], 2nd col: Magnitude [as Factor not dB!], 3rd col: Phase [rad], 4th col:&nbsp; Real part [as Factor not dB!], 5th col: Imaginary part [as Factor not dB!]. So only first 3 columns are needed!</p><p>To get dB Value: Amplitude[dB] = 20 log [Magnitude]</p><p>Usually the Magnitude was calculated as response/reference (input) in the frequency domain. As for measuring the mechanical admittance the sensor is most likely an accelerometer (capturing the response in m/s2 of the object of interest) and the reference an impact hammer capturing the input force in Newton. As the mechanical admittance is defined as v/F (speed over force) the acceleration signal has to be integrated. The here captured signals are integrated in the frequency domain, what means the magnitude is divided by the corresponding frequency value in s-1. Values coded like: 3.30750000000000E+1 -&gt; 3.3075 * 10 -&gt; 33.075</p>

opencc-by-4.0Nov 2023View details →
zenodo44/100

Acoustical measurements of a rabab reconstructed after a pictorial source from the 16th century

<p><strong>Acoustical measurements of a rabab reconstructed after a pictorial source from the 16th century</strong></p><p>Instrument: rabab<strong>&nbsp;</strong><br>Pictorial source:&nbsp;Jorge Affonso (attr.), <i>The Adoration of the Shepherds</i>, 1515, oil on wood, Lissabon, Museu Nacional de Arte Antiga&nbsp;<br>Instrument maker: Thilo Hirsch&nbsp;<br>Year of manufacture: 2022&nbsp;<br>Location: Basel, property of the ensemble arcimboldo</p><p>Dimensions:&nbsp;<br>Total length: 510 mm&nbsp;<br>Max. Body width: 110 mm&nbsp;<br>Body depth: approx. 93 mm</p><p>Vibrating string lengths:&nbsp;<br>d'-string: 351 mm&nbsp;<br>a-string: 350 mm&nbsp;<br>e-string: 348 mm</p><p>Materials:&nbsp;<br>Body: cherry&nbsp;<br>Pegbox: cherry&nbsp;<br>Fingerboard: cerry&nbsp;<br>Bars: spruce&nbsp;<br>Nut/String attachment button: bone&nbsp;<br>Bridge: boxwood&nbsp;<br>Top: goatskin</p><p>The main aim of this research was to measure the acoustic effects of the different sound holes. To do this, the instrument was first measured with the rosette and the two holes in the body open, then with the body holes closed.</p><p>Acoustical measurements: Alexander Mayer, mdw - University of Music and Performing Arts Vienna, Department of Music Acoustics – Wiener Klangstil (IWK), 25.9.2023</p><p>Force: Impact hammer exciting at the bass side of the bridge&nbsp;<br>ACC: Acceleration measured on the same side, close to the impact point.&nbsp;<br>Average is the average of all measurements (to be used in the analysis).</p><p>Photos of the setup: Thilo Hirsch</p><p>Folder modell_affonso&nbsp;<br>Files: affonso_1 to 6 (Description: holes open)</p><p>Folder modell_affonso_loecher_zu&nbsp;<br>Files: affonso_hc_1 to 6 (Description: both holes closed)</p><p>________________________</p><p>How to read VIA-Files: Line 1 to 9: Header, Line 8 holds the number of values</p><p>Data is organized as followed: 1st col: Frequency [Hz], 2nd col: Magnitude [as Factor not dB!], 3rd col: Phase [rad], 4th col:&nbsp; Real part [as Factor not dB!], 5th col: Imaginary part [as Factor not dB!]. So only first 3 columns are needed!</p><p>To get dB Value: Amplitude[dB] = 20 log [Magnitude]</p><p>&nbsp;Usually the Magnitude was calculated as response/reference (input) in the frequency domain. As for measuring the mechanical admittance the sensor is most likely an accelerometer (capturing the response in m/s2 of the object of interest) and the reference an impact hammer capturing the input force in Newton. As the mechanical admittance is defined as v/F (speed over force) the acceleration signal has to be integrated. The here captured signals are integrated in the frequency domain, what means the magnitude is divided by the corresponding frequency value in s-1. Values coded like: 3.30750000000000E+1 -&gt; 3.3075 * 10 -&gt; 33.075</p>

opencc-by-4.0Nov 2023View details →
zenodo44/100

[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>

opencc-by-4.0Jul 2024View details →
zenodo40/100

DATASET OF THE "BANDA PRIMITIVA OF LLIRIA" THEATER ACOUSTIC PARAMETERS MEASURED ON-SITE

<p>Database of the acoustic parameters measured in the Theater of the Banda Primitiva of Ll&iacute;ria located in Valencia (Spain). &nbsp;There was one sound source position located in the middle of the proscenium and twenty positions of the microphone in the room. Measurements were done twice, the first one with the stage opening curtain opened (points from 1 to 20) and the second one with it closed (points from 21 to 40). The database can be used to analyze the acoustic behavior of the theater, and to do an acoustic model of the room.</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

DATASET OF THE "TALIA" THEATER ACOUSTIC PARAMETERS MEASURED ON-SITE

<p>Database of the acoustic parameters measured in the Tal&iacute;a Theater in Valencia (Spain). &nbsp;There was one sound source position located in the middle of the proscenium and eighteen positions of the microphone in the room. Measurements were done twice, the first one with the stage opening curtain opened (points from 1 to 18) and the second one with it closed (points from 19 to 36). The database can be used to analyze the acoustic behavior of the theater, and to do an acoustic model of the room.</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

DATASET OF THE "EL MUSICAL" THEATER ACOUSTIC PARAMETERS MEASURED ON-SITE

<p>Database of the acoustic parameters measured in the El Musical theater located in Valencia (Spain). &nbsp;There was one sound source position located in the middle of the proscenium and sixteen positions of the microphone in the room. Measurements were done twice, the first one with the stage opening curtain opened (points from 1 to 16) and the second one with it closed (points from 17 to 32). The database can be used to analyze the acoustic behavior of the theater, and to do an acoustic model of the room.</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

DATASET OF THE "ALFONS ROIG AUDITORIUM" ACOUSTIC PARAMETERS MEASURED ON-SITE

<p>Database of the acoustic parameters measured in the &ldquo;Alfons Roig&rdquo; Auditorium located in the Fine Arts Faculty of San Carlos of the Universitat Polit&egrave;cnica de Val&egrave;ncia. There was one sound source position located in the middle of the proscenium and fifteen positions of the microphone in the room. Measurements were done twice, the first one with the stage opening curtain opened (points from 1 to 15) and the second one with it closed (points from 16 to 30). The database can be used to analyze the acoustic behavior of the theater, and to do an acoustic model of the room.&nbsp;</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

Dataset of acoustic intensity vector measurements around an upscaled ear model

<p>A dataset of acoustic vector (particle velocity vector and scalar sound pressure) measurements of the sound field around an upscaled model of an ear. Data collected in July 2022 at the Aalto Acoustics Lab in Espoo, Finland.</p> <p>See the companion paper at AES&nbsp;for information about the contents of the dataset, measurement methodology, and example scripts.</p> <p>See the companion repository&nbsp;<a href="https://github.com/aaron-geldert/upscaled-ear-model-scripts">github.com/aaron-geldert/upscaled-ear-model-scripts</a>&nbsp;for&nbsp;example MATLAB scripts using the dataset.</p> <p>Correspondence should be directed to&nbsp;<a href="mailto:aarongeldert@gmail.com?subject=RE%20Big%20Ear%20Dataset%20(Zenodo)">Aaron Geldert (aarongeldert@gmail.com)</a>.&nbsp;<br> &nbsp;</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Acoustic measurements in the ancient open-air theatre of Tyndaris

<p>The data set represents the measured&nbsp;impulse response in the ancient Theatre of Tyndaris performed &nbsp;in September 2015 by the Applied Acoustics Research Group of the Department of Energy of the Politecnico di Torino.</p> <p>- Measurement set-up has been described in&nbsp;https://www.mdpi.com/2076-3417/10/16/5680</p> <p>- Receiver and source positions have been shown&nbsp;in Figure 2 in&nbsp;https://www.mdpi.com/2076-3417/10/16/5680</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Experimental data for a 5MHz acoustic measuring probe: partⅠ

<p>This is the data base about the study on a newly developed acoustic probe. The frequency of the probe is 5MHz.&nbsp;The sand sample used in the study is relatively small and all come from Changjiang River. BSI means&nbsp;back scattered sound intensity, SSC means&nbsp;suspended sediment concentration. Exponential method and power method are put forward to the fit of the experimental data, the correlation coefficient and parameters of the two method are calculated.&nbsp;</p> <p>This data base including:</p> <p>(1)&nbsp;recorded time-averaged BSI of each group with different SSC.</p> <p>(2) changes of recorded BSI plot against SSC.</p> <p>(3) calculation table for correlation coefficient of&nbsp; exponential method and power method.</p> <p>BSI is obtained from analyzing time domain signals.&nbsp;</p>

opencc-by-4.0Dec 2019View details →
zenodo36/100

EduRa database: room models based on room acoustic measurements in primary and preschools

<p>This database provides five representative rooms in primary schools and preschools for acoustic simulations. A set of (binaural) room impulse responses (RIRs) simulated using an adult and a child artificial head are included for each room.</p> <p>Room acoustic measurements were carried out in Aachen&rsquo;s primary schools and preschools, where 8 classrooms, 10 playrooms, 3 gyms, 3 multi-purpose rooms and 3 sports rooms were assessed. The dimensions and room acoustic parameters were then clustered to achieve five representative sceneries. Shoebox models with little furniture were created using the average dimension of each cluster, and room acoustic simulations yielding for the average reverberation time of each cluster were done to obtain the (binaural) RIRs.</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

A high pressure, high temperature gas medium apparatus to measure acoustic velocities during deformation of rock: supporting information

<p>Processed mechanical data and raw transmitted waveforms.</p>

opencc-by-4.0Apr 2022View details →
zenodo36/100

Joint acoustical-electrical modeling for tight sandstones verified by measurements

<p>These data are the compressional-wave waveform and electrical data obtained by Ba et al. through ultrasonic experimental &nbsp;and conductivity measurements on tight sandstones at different confining pressures and fluid saturations.</p> <p>Details are given in the uploaded introduction document regarding the format of dataset.</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Large repeated measures experiments of acoustic Doppler current profiler (ADCP) streamflow measurements under steady flow conditions (Chauvan 2016 regatta)

<p>From 8 to 10 November 2016, 50 laboratories or teams (from 8 different countries) with 50 ADCPs, simultaneously conducted more than 600 ADCP discharge measurements in steady flow conditions (around 14 m<sup>3</sup>/s released by a dam), during three half-days, over 500 m along the Taurion River at Saint-Priest-de-Taurion, France. 26 cross-sections with various shapes and flow conditions, and more or less favourable conditions, were distributed along the river. A specific experiment procedure, which consisted of circulating every team over half of the cross-sections, was implemented in order to quantify the impact of site selection on the discharge measurement<br> uncertainty.</p> <p>The experimental design is presented in Despax et al (2017) available at <a href="https://irsteadoc.irstea.fr/cemoa/PUB00055007">https://irsteadoc.irstea.fr/cemoa/PUB00055007</a></p> <p>Despax, A., Hauet, A., Le Coz, J., Dramais, G., Blanquart, B., Besson, D., &amp; Belleville, A. (2017). Inter-laboratory comparison of discharge measurements with Acoustic Doppler Current Profilers Chauvan field experiments. 8, 9 and 10th November 2016. (Technical report). Lyon, France: Groupe Doppler. (92 p.)</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2019View details →
zenodo36/100

NEECK Validation: Acoustic Measurements and BEM Simulations

<p>This repository contains the supporting data for the paper entitled &quot;Acoustic Validation of a BEM-Suitable 3D Mesh Model of KEMAR&#39;&#39;, K. Young, G. Kearney, and A. I. Tew, at the 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science, Tokyo. Available at: http://www.aes.org/e-lib/browse.cfm?elib=19662.&nbsp;Please cite both the paper and dataset if used.</p> <p>Note: the azimuth angle system used in this work increments positively in the left direction, such that 90&deg; is on the left and 270&deg; is on the right. In elevation, -90&deg; is below, +90&deg; is above.&nbsp;</p> <p>---</p> <p>The data is organised as follows:</p> <p>- NEECK_HRIR_measured.sofa<br> &nbsp;&nbsp; &nbsp;(SOFA file (SimpleFreeFieldHRIR) containing the 185 acoustically measured HRIRs for the Neck-Extended Easily Computable KEMAR (NEECK))<br> - NEECK_HRTF_simulated.sofa<br> &nbsp;&nbsp; &nbsp;(SOFA file (SimpleFreeFieldTF) containing the 10,205 simulated HRTFs for the Neck-Extended Easily Computable KEMAR (NEECK))<br> - AdditionalData<br> &nbsp;&nbsp; &nbsp;(Zip folder containing data processed during the analysis stages)<br> &nbsp;&nbsp; &nbsp;- averageResponse_measured.mat<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(mat file containing the average IR responses, corresponding inverse filters and inverse filter generation parameters)<br> &nbsp;&nbsp; &nbsp;- averageResponse_simulated.mat<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(mat file containing the average TF responses in linear scale)<br> &nbsp;&nbsp; &nbsp;- measuredData.mat<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(mat file containing the following data:)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- IRs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(Measured impulse responses as in SOFA file. Dimensions: M1xRxN1)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- IRs_DTF<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(Impulse responses after application of average response inverse filter. Dimensions: M1xRxN1)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- HRTFs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(HRTF magnitudes in linear scale. Dimensions: M1xRxN1)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- HRTFs_dB<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(As above in decibel scale. Dimensions: M1xRxN1)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- DTFs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(DTF magnitudes in linear scale - after application of average response inverse filter. Dimensions: M1xRxN1)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- DTFs_dB<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(As above in decibel scale. Dimensions: M1xRxN1)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- measFs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(sampling rate of measured responses: Dimensions: 1x1)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- allSourcePositions_measured<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(measured source positions in spherical coordinates (azimuth, elevation, radius). Units: degrees, degrees, metres. Dimensions: M1x3)<br> &nbsp;&nbsp; &nbsp;- simulatedData.mat<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(mat file containing the following data:<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- IRs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(Impluse responses generated from the simulated HRTF data. Dimensions: M2xRxN2)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- HRTFs_complex<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(Complex simulated HRTF data. Dimensions: M2xRxN3)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- HRTFs_mag_dB<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(Magnitudes of simulated HRTF data in decibel scale. Dimensions: M2xRxN3)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- DTFs_mag_lin<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(Magnitudes of directional transfer function (DTF) data in linear scale. Dimensions: M2xRxN3)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- DTFs_mag_dB<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(As above in decibel scale. Dimensions: M2xRxN3)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- simFs<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(sampling rate of generated impulse responses. Dimensions: 1x1)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- allSourcePositions_simulated<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(simulated source positions in spherical coordinates (azimuth, elevation, radius). units: degrees, degrees, metres. Dimensions: M2x3)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- frequencies<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(frequencies used in the simulation. Dimensions: N3x1)<br> &nbsp;&nbsp; &nbsp;- license.mat<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(mat file containing licensing information)<br> - License.txt<br> &nbsp;&nbsp; &nbsp;(Text file detailing the license under which this data is published.)</p> <p>For enquiries regarding the data in a different format, please email kaey500@york.ac.uk.&nbsp;<br> ---</p> <p>Data Dimensions:</p> <p>M1 = number of measured source positions, in this case 185<br> M2 = number of simulated source positions, in this case 10,205<br> R = number of channels, in this case 2, where 1 and 2 correspond to left and right respectively<br> N1 = number of samples in measured impulse responses, in this case 1024<br> N2 = number of samples in generated impulse responses, in this case (number of samples in HRTF*2)+2 = 400<br> N3 = number of samples in simulated transfer functions, in this case, the number of frequency points, 199</p> <p>---</p> <p>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), with no warranty; or the implied warranty of merchantability or fitness for a particular problem.</p> <p>---</p> <p>Data produced by Kat Young at the AudioLab, Dept. of Electronic Engineering, University of York.<br> Contact: kaey500@york.ac.uk</p>

opencc-by-nc-4.0Aug 2018View details →
zenodo36/100

Acoustic feature measurements of male and female NZ bellbird (Anthornis melanura) song syllables

<p>Acoustic feature measurements of 20,700 syllables (acoustic units) of male and female birdsong, from NZ bellbirds (Anthornis melanura). The measurements were&nbsp;extracted in Koe bioacoustics software (koe.io.ac.nz), on recordings&nbsp;from six sites in the Hauraki Gulf, northeastern New Zealand. The sites are Tawhiti Rahi island (Poor Knights island group), Lady Alice Island (Hen and Chicks island group), Hauturu (Little Barrier Island), Tawharanui Peninsula, Repanga (Cuvier Island), and Tiritiri Matangi Island.</p> <p>Descriptions of extracted acoustic features can be found at&nbsp;https://github.com/fzyukio/koe/wiki#extract-unit-features</p>

opencc-by-4.0Jul 2021View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

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electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

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behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record