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306 results for “impulsivity”
Ambisonic Room Impulse Responses
<p>Datasets of Ambisonic room impulse responses from 3 european museums/touristic sites:</p> <ul> <li>La Fundació Miro, Barcelona, Spain</li> <li>Die Alte Pinakotheke, Munich, Germany</li> <li>St Andrews Castle, St Andrews, Scotland</li> </ul> <p>The datasets are in SOFA format of convention AmbisonicsDRIR, recently proposed by the author.</p>
Data archive for 'Developmental history, energetic state and choice impulsivity in European starlings, Sturnus vulgaris'
<p>Data and code for Dunn et al. 'Developmental history, energetic state and choice impulsivity in European starlings, Sturnus vulgaris'</p> <p> </p> <p>The r script allows you to carry out all the analyses reported in the paper. Data from the experiment reported in the paper are 'databybird.csv'.</p> <p>In the paper, we also compare the findings of the present experiment with findings from a study of risk preference in the same birds (Andrews et al. 2018), and two earlier studies of impulsivity in different birds (Bateson et al. 2015, Nettle et al. 2015) . For convenience, we have included the relevant data from those earlier studies here too, though those data are all already published in association with the primary paper on those experiments.</p> <p>This version has a revised R script which tweaked some of the analyses in response to peer review.</p>
Sounds, synthesized using Impulse Pattern Formulation
<p>The Sound of the dizi with and without mirliton membrane was recorded and synthesized using Impulse Pattern Formulation (IPF). Further, the sound of a multiphonic played on the clarinet was recorded and synthesized using IPF. Finally, the sound of a bowed string was recorded while slowly increasing the bow force. This sound is synthesized by the IPF as well.</p> <p>A more in-depth description of how these sounds were synthesized can be found in the related publication:</p> <p>Linke, S., Bader, R., & Mores, R. (2019). The Impulse Pattern Formulation (IPF) as a nonlinear model of musical instruments. In M. Kob (Ed.), Proceedings of the International Symposium on Music Acoustics 2019 - ISMA 2019 (pp. 336–345). <a href="http://pub.dega-akustik.de/ISMA2019/data/ISMA_proceedings_all.pdf">http://pub.dega-akustik.de/ISMA2019/data/ISMA_proceedings_all.pdf</a></p>
Model of Sant Climent de Taüll: Impulse Responses and Auralisations.
<p>One of the most emblematic Romanesque paintings of La Vall de Boí, Catalonia, is the Pantocrator, a fresco found at Sant Climent de Taüll. However, only a small part of the church paintings is preserved whereas at the time of its construction, in 1123, its walls and columns were fully covered. If the church has experienced a complete transformation of its wall materials during the last 900 years, it can be assumed that its acoustic properties have also changed. This paper aims to recreate this acoustic transformation by building a computer model, analysing the acoustic effect of such paintings, and comparing three auralisation examples. The model is created using ODEON Geometric Acoustic Software, and calibrated using Impulse Responses taken in the real church. The results suggest that the paintings change the acoustics of the church, adding more than a second of reverb time, even with the relatively small dimensions of the church. This also affects speech intelligibility and music clarity.</p>
Sweet Area Impulse Response Database
<p>A dataset of acoustic impulse responses measured in the Immersive Media Lab (https://www.ikt.uni-hannover.de/de/institut/ausstattung/immersive-media-lab) listening room at the Institute of Communications Technology.</p> <p>Measurements were taken using a Neumann KU 100 dummy head and an mh acoustics em32 Eigenmike microphone array. The arrays were mounted on a robot arm and acoustic impulse responses in a spatial grid around the loudspeaker setup's sweet spot were measured using the ITA toolbox (https://www.ita-toolbox.org/). The setup consists of 42 loudspeakers.</p> <p>Version 1.0 of the dataset uses a custom Matlab struct format relying on itaAudio objects for storing the data. Conversion to the standardized SOFA format is planned.</p> <p>Details on the measurement setup are given in:</p> <blockquote> <p>Roman Kiyan, Stephan Preihs, Jürgen Peissig, “Robokopp: Robotic Setup for Automated Sweet Spot Measurements with Head Simulators and Microphone Arrays,” in Fortschritte der Akustik - DAGA 2024 (http://pub.dega-akustik.de/DAGA_2024/konferenz?article=614)</p> </blockquote> <p>The dataset is the basis of the analyses of the following papers:</p> <blockquote> <p>Roman Kiyan, Stephan Preihs, Jürgen Peissig, “Determining the immersion sweet area in multichannel loudspeaker reproduction using spatial sound field features,” presented at the Audio Engineering Society Convention 156 (http://aes2.org/publications/elibrary-page/?id=22520)</p> </blockquote> <blockquote> <p>Roman Kiyan, Stephan Preihs, Jürgen Peissig, “Signal dependencies of the immersion sweet area in multichannel loudspeaker reproduction,” TBA.</p> </blockquote>
Spatial Room Impulse Response Dataset: A Robot's Journey Through Coupled Rooms of a Reverberant University Building
<p>This is a dataset of Spatial Room Impulse Responses obtained by a robot equipped with a microphone array.</p> <p>The measurements were conducted in a reverberant university building, the <em>Helmholtz</em> building at<em> Technische Universität Ilmenau</em> (coordinates: N50.6815788133375°, E10.939294371903342°). All the floors in the building are covered with bare stone tiles, the walls are not acoustically treated. Only the hallway has a suspended acoustic ceiling. The file "Pictures Overview.jpg" shows some impressions of the building. Note that the floorplan only shows parts of the building that were connected to the measurement area by open doors.</p> <p>The area covered by the robot is in a hallway on the top floor (2nd floor starting with ground floor) with two stairwells at both ends. To specifically study the behavior of coupled rooms and occluded sources, the sound sources were placed in adjacent sections of the building and on multiple floors. See the file "Measurement Overview.jpg" for an overview of the source positions and the receiver areas covered. Areas 2 and 3 were captured with a higher spatial resolution than area 1 to analyze the transition between the hallway and the staircases. The receiver positions form a uniform grid, the pitch between positions is shown in the following table. Due to time and technical constraints, only a maximum of 3 sources were used per run, so there are not all combinations of sources and receiver areas. Refer to the following table to see which source was active for which area and which zip file contains the according data:</p> <table> <tbody> <tr> <th>Filename</th> <th>Sources</th> <th>Receiver Area</th> <th>Receiver Positions [ct]</th> <th>Pitch [cm]</th> </tr> </tbody> <tbody> <tr> <td>Helmholtzbau_OG2_HM_HS.zip</td> <td>HM, HS</td> <td>Area 1</td> <td>143</td> <td>50</td> </tr> <tr> <td>Helmholtzbau_OG2_SML_SSL_SSU.zip</td> <td>SML, SSL, SSU</td> <td>Area 1</td> <td>154</td> <td>50</td> </tr> <tr> <td>Helmholtzbau_OG2_SMU_SML_HM.zip</td> <td>SMU, SML, HM</td> <td>Area 2</td> <td>88</td> <td>25</td> </tr> <tr> <td>Helmholtzbau_OG2_SSU_SSL_HS.zip</td> <td>SSU, SSL, HS</td> <td>Area 3</td> <td>92</td> <td>25</td> </tr> </tbody> </table> <p>As an example "Plot Reverberation Time.jpg" shows the reverberation times for all measured positions of Area 1 and 2 with speaker HM.</p>
OTIMP: The Oticon-Imperial hearing aid impulse response database
<p>A database of acoustic impulse responses measured between a sphere of loudspeakers and hearing aids in a mildly reverberant listening room. The database includes measurements on 46 individuals and is particularly intended to allow the evaluation of hearing aid algorithms when applied to devices worn by different individuals.</p> <p> </p> <p>Version history</p> <p>1.0.0 Original</p> <p>1.0.1 Re-uploaded as individual zip files - No change to the actual data but allows the most commonly used segment(s) of the data to be downloaded more conveniently.</p>
Experimental sloshing pressure data from "Improving stability of moving particle semi-implicit method by source terms based on time-scale correction of particle-level impulses"
<p>3D sloshing in a prismatic tank under translational coupled surge-sway (X and Y axis) motions. The main dimensions are height H<sub>T</sub> = 0.54m, width W<sub>T</sub> = 0.84m and length L<sub>T</sub> = 0.72m. The filling ratio of 50% (H<sub>F</sub> = 0.27m). The periods of surge and sway excitations are T<sub>s</sub> = 1.25s with amplitude motions of A<sub>x</sub> = 0.0144m (0.02 x length) and A<sub>y</sub> = 0.0168m (0.02 x width).</p> <p>Files:</p> <p><strong>experimental_slosh_h50_20cycles_p1_dt0p000100.txt</strong>: Experimental pressure data at sensor P1</p> <p><strong>slosh_3d_exp_timer</strong>: Experimental movie</p> <p><strong>sloshing_tank_dimensions.pdf</strong>: Tank main dimensions</p> <p> </p> <p>The experimental data was used in:</p> <p>Cheng, L.Y., Amaro Junior, R.A., Favero, E.H. (2021). Improving stability of moving particle semi-implicit method by source terms based on time-scale correction of particle-level impulses. Engineering Analysis with Boundary Elements, 131, 118-145. Available at. doi: <a href="https://doi.org/10.1016/j.enganabound.2021.06.018">https://doi.org/10.1016/j.enganabound.2021.06.018</a></p>
A High-Resolution Spatial Room Impulse Response Database
<p><strong>A High-Resolution Spatial Room Impulse Response Database:</strong></p> <p>A Database of various SRIRs measured in three rooms, for two receiver and 3 source positions each. The positions are shown in the floor plans. </p> <p><strong>Naming Convention:</strong></p> <p><strong>Receivers</strong>: SMA (DRIRs): spherical microphone array impulse responses on a 2702 sampling point Lebedev grid.</p> <p> KU100 (BRIRs): Neumann KU100 dummy head impulse responses on a 360 sampling point horizontal grid</p> <p> Omni_ir: Omnidirectional impulse responses measured with an Earthworks M30 microphone </p> <p><strong>Receiver positions:</strong> P1, P2 as indicated in the floor plans</p> <p><strong>Source positions:</strong> LSL: left speaker, LSR: right speaker, LSC: center speaker as indicated in the floor plans </p> <p><strong>Rooms: </strong>Audiolab, Classroom, Audimax</p> <p>_______________________________________________________________________________________</p> <p><strong>Contact:</strong><br> Tim Lübeck, Johannes M. Arend, and Christoph Pörschmann<br> TH Köln - University of Applied Sciences<br> Institute of Communications Engineering<br> Department of Acoustics and Audio Signal Processing<br> Betzdorfer Str. 2, D-50679 Cologne, Germany</p> <p><a href="https://www.th-koeln.de/personen/tim.luebeck/">https://www.th-koeln.de/personen/tim.luebeck/</a></p> <p><a href="https://www.th-koeln.de/personen/johannes.arend/">https://www.th-koeln.de/personen/johannes.arend/</a></p> <p><a href="http://www.th-koeln.de/personen/christoph.poerschmann/">https://www.th-koeln.de/personen/christoph.poerschmann/</a><br> <br> </p>
Multi-Angle, Multi-Distance Microphone Impulse Response Dataset
<p>This archive contains data generated as part of the PhD research of Juan Carlos Franco, investigating the timbral attributes related to the incident-angle-dependent response of microphones. </p> <p>The dataset of microphone impulse responses (IRs) comprises 25 microphones, including a Class-1 measurement microphone, covering the polar pattern variations of 7 of the microphones. The measurements were performed following a quasi-anechoic method, at incident angles from 0° to 355° with an angular resolution of 5°, and at source-to-microphone distances of 0.5 m, 1.25 m and 5m. </p> <p>Both normalised (-1 dBFS peak) and raw versions of the IRs have been rendered at bit-depths of 24-bit and 32-bit, with a sample rate of 48 kHz. </p> <p>A detailed description of the measurement procedure, as well as the equipment used, is provided in the associated journal paper [Franco et al. 2021].</p> <p><strong>References</strong></p> <p>J Franco, B Bǎcilǎ, T Brookes, E De Sena, "A multi-angle, multi-distance dataset of microphone impulse responses", J.Aud.Eng.Soc., Volume 70, Issue 10 pp. 882-893, October 2022, doi 10.17743/jaes.2022.0027</p>
Data from: Distinct developmental trajectories for risky and impulsive decision-making in chimpanzees
<p>Human adolescence is characterized by a suite of changes in decision-making and emotional regulation that promote risky and impulsive behavior. Accumulating evidence suggests that behavioral and physiological shifts seen in human adolescence are shared by some primates, yet it is unclear if the same cognitive mechanisms are recruited. We examined developmental changes in risky choice, inter-temporal choice, and emotional responses to decision outcomes in chimpanzees, our closest-living relatives. We found that adolescent chimpanzees were more risk-seeking than adults, as in humans. However, chimpanzees showed no developmental change in inter-temporal choice, unlike humans, although younger chimpanzees did exhibit elevated emotional reactivity to waiting compared to adults. Comparisons of cortisol and testosterone indicated robust age-related variation in these biomarkers, and patterns of individual differences in choices, emotional reactivity, and hormones also supported a developmental dissociation between risk and choice impulsivity. These results show that some but not all core features of human adolescent decision-making are shared with chimpanzees.</p>
Direct evidence of substorm-related impulsive injections of electrons at Mercury
<p>This data set includes electron energy-time spectrograms obtained by MEA1 and MEA2 in units of differential energy flux (eV/cm^2/s/sr/eV) and energetic neutral atoms obtained by ENA in counts during BepiColombo Mio's first Mercury flyby. The data are uncalibrated, thus to properly use these data, contacting PI teams is highly recommended.</p>
6 DoF Directional Room Impulse Response Dataset Measured over a Dense Loudspeaker Grid (6DRIR-DL)
<p>The 6DoF directional RIR dataset (aka <strong>6DRIR-DL</strong>) includes room impulse responses (RIRs) measured by <strong>nine</strong> spherical microphone arrays (SMAs; Zylia ZM-1S) distributed in a semi-cuboid room. <strong>6DRIR-DL</strong> is specialized by its massive loudspeaker positions (<strong>392</strong> locations), which were incorporated for the 6DOF source localization task. The inter-element spacing between loudspeakers is only 8 cm, so the dataset can be utilized to validate a sound source localization algorithm for closely positioned multiple sound sources.</p>
ASN Database - v3.2 - Database of Simulated Room Impulse Responses for Acoustic Sensor Networks Deployed in Complex Multi-Source Acoustic Environments
<p>We present a large set of simulated room impulse responses for a multi-room apartment. The simulated apartment models a real vacation apartment for which a recorded set of audio data has already been made available in the context of the DCASE challenges. The impulse responses were rendered using a dense grid of sources and receivers by means of a hybrid auralization algorithm based on a low-order image-source method and deterministic cone tracing. The proposed data set can be used to generate a wide variety of acoustic scenes which, in turn, can benefit numerous data-demanding machine-learning algorithms.<br> <br> To obtain more information on the database, please visit <a href="https://github.com/Jearde/asn-database">the website</a>.<br> <strong>Please read the license file (available in the GitHub repository) before using the database.</strong></p>
BBC Maida Vale Impulse Response Dataset
<p>This repository presents a dataset of spatial impulse responses measured from the BBC Maida Vale Studios.</p><p>The measurements were undertaken in Summer/Autumn 2021 by researchers from the University of York, led by Prof Gavin Kearney and Prof Helena Daffern and team members of BBC R&D. </p><p>The measured studio live rooms presented here are studios MV4 and MV5.</p><p>The dataset for each room includes:</p><p>- Higher Order Ambisonic (3rd Order) spatial impulse responses for 3DOF/6DOF rendering.</p><p>- Reference KEMAR binaural measurements</p><p>- ISO-3382 measurements.</p><p>- Readme files for each room. </p><p> </p><p><strong>Important notes: </strong></p><p>- If you use this dataset, please cite the following paper in your work:</p><p>Kearney, G., Daffern, H., Cairns, P., Hunt, A., Lee, B., Cooper, J., Tsagkarakis, P., Rudzki, T. and Johnston, D., 2022, September. Measuring the Acoustical Properties of the BBC Maida Vale Recording Studios for Virtual Reality. In <i>Acoustics</i> (Vol. 4, No. 3, pp. 783-799). MDPI.</p><p>- Source orientations have been measured in the four cardinal directions (N, E, S, W) and impulse responses can be combined to simulate sources with first order directivity patterns. See paper above for further details. </p><p>- For 3DOF/6DOF measurements, Ambix config files are also included for quick audition of the IRs using an appropriate convolver (e.g. MCFX convolver http://www.matthiaskronlachner.com/?p=1910). </p><p>- The ISO measurements should not be used for auralisation.</p><p>- Measurements taken from the same source-receiver position should ideally not be used directly. If you wish to simulate the same source/receiver position for natural reverberation foldback, then the direct sound portion should be removed as the frequency reponse of this component will be imbalanced, and should be replaced with direct monitoring of a close miked source via your soundcard. </p><p>If you have any questions about the dataset, please contact gavin.kearney@york.ac.uk</p><p> </p><p> </p>
Far-field effects of impulsive noise on coastal bottlenose dolphins
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Attosecond impulsive stimulated x-ray raman scattering in liquid water
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Data from: Distinct developmental trajectories for risky and impulsive decision-making in chimpanzees
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The impulse response of optic flow sensitive descending neurons to roll m-sequences
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Database of Head- and Hearing-Aid-Related Impulse Responses in the Gesture Lab
<p>Head- and hearing-aid-related impulse responses (HRIRs) were measured in the Gesture Lab at the Carl von Ossietzky University of Oldenburg (Hendrikse, 2018).</p>
ScienceDex guides
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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.