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306 results for “impulsivity”
GIR Dataset: A Geometry and real Impulse Response Dataset
<p>The GIR dataset is an open source dataset composed of more than 900k Impulse Responses (IRs). To foster the research in computational acoustics and in particular on the relationship between geometry and acoustic parameters, the measurements include acoustic responses acquired in 2952 positions and 312 surfaces. To maximize consistency, surfaces were 3D printed and the measurement process was automated using two robots. Detailed explanation of the dataset creation methods and possible applications are discussed in Rust <em>et al.</em> 2021 (<a href="https://doi.org/10.1177/1351010X20986901">https://doi.org/10.1177/1351010X20986901</a>) and Xydis <em>et al.</em> 2021 (in prep).</p> <p>The provenance and metadata tracked on Renku is enriched with the additional attributes recommended in the framework <a href="https://arxiv.org/abs/1805.03677">dataset nutrition labels</a> and Schema.org note on <a href="https://schema.org/docs/data-and-datasets.html">Data and Datasets</a>. This enriched metadata is provided in a standard JSON-LD format on Renku: <a href="https://renkulab.io/projects/ddad/gir-dataset/files/blob/dataset.json">dataset.json</a>.</p> <p>Dataset is released under <a href="https://renkulab.io/projects/ddad/gir-dataset/files/blob/LICENSE">the GNU General Public License v3.0</a></p>
Simulated Room Impulse Response for 44.1k Audio
<p>We randomly simulated a collection of Room Impulse Response filters to simulate the 44.1kHz speech room reverberation using an open-source tool (<a href="https://github.com/sunits/rir">https://github.com/sunits/rir</a>_simulator_python). The meters of height, width, and length of the room are sampled randomly in a uniform distribution U(1,12). The placement of the microphone is then randomly selected within the room space. For the placement of the sound source, we first determined the distance between the microphone and sound source, which is randomly sampled in a Gaussian distribution N(\mu,\sigma^2), \mu=2, \sigma=4. If the sampled value is negative or greater than five meters, we will sample the distance again until it meets the requirement. After determined the distance between the microphone and sound source, the placement of the sound source is randomly selected on the sphere centered at the microphone. The RT60 value we choose comes from the uniform distribution U(0.05,1.0). For the pickup pattern of the microphone, we randomly choose from types omnidirectional and cardioid. </p> <p>If you found this dataset helpful, please consider citing: </p> <blockquote> <pre>@article{liu2021voicefixer, title={VoiceFixer: Toward General Speech Restoration with Neural Vocoder}, author={Liu, Haohe and Kong, Qiuqiang and Tian, Qiao and Zhao, Yan and Wang, DeLiang and Huang, Chuanzeng and Wang, Yuxuan}, journal={arXiv preprint arXiv:2109.13731}, year={2021} }</pre> </blockquote>
Resonance at the front of lightning impulse voltage waveforms caused by the load capacitor
<p>On the front of impulse voltage waveform, the voltage usually increases up to thousands of kV within one microsecond, and the frequency range covers up to several megahertz. The capacitor in the high voltage arm is usually from 400 ‍pF to 1000‍ pF. We calculated the impedance of different capacitors in damped capacitive divider at the frequency range from 100‍ kHz to 1000‍ kHz. As Fig. 3 shows, the impedance ranges from 160‍ ohm to 4000‍ ohm.</p>
Apathy and impulsiveness in Parkinson's disease: Two faces of the same coin?
<p>Apathy and impulsiveness are 2 common non-motor symptoms in Parkinson disease that could occur in different periods or simultaneously. Apathy and impulsiveness could be interpreted as opposite extremes of a spectrum of motivated behavior dependent on dopaminergic dysfunction, in which, impulsivity, is a result of a hyperdopaminergic state, whereas apathy is viewed as a hypodopaminergic. The study aimed to investigate the presence of impulsiveness and other neuropsychiatric symptoms in Parkinson disease patients with apathy symptoms. Eighty-one patients with Parkinson disease were enrolled in this retrospective study. All subjects were evaluated by the Italian version of the Dimensional Apathy Scale and the Barratt Impulsiveness Scale-version 11, to assess, respectively, apathy and impulsiveness; they were divided into 2 groups (apathy and no apathy). All patients were administered also with questionnaires assessing depressive and anxious symptoms. Statistical analyses showed relevant results. In no-apathy group, education was a significant predictor on impulsiveness (attentional and motor) and apathy (executive and emotional); depression was a significant predictor on planning impulsivity and apathy. This study aimed to consider the importance of apathy and impulsivity in Parkinson disease. Although these are considered as opposite extremes of a spectrum of motivated behavior dependent on dopaminergic dysfunction, these can also occur separately. Moreover, several variables could represent important predictors of apathy and impulsiveness, such as depression. Future investigations should deepen the role of other demographics and psychological variables.</p>
A dataset of measured spatial room impulse responses for the transition between coupled rooms
<p>For a detailed description of the measurement and analysis methods, please see:</p> <p>McKenzie, T., Schlecht, S. J., and Pulkki, V. (2021). Acoustic Analysis and Dataset of Transitions between Coupled Rooms. <em>IEEE International Conference on Acoustics, Speech and Signal Processing.</em></p> <p> </p> <p>This dataset contains measured spatial room impulse responses for the transition between coupled rooms. Four coupled room pairs are included:</p> <ul> <li>Meeting Room to Hallway</li> <li>Office to Anechoic Chamber</li> <li>Office to Kitchen</li> <li>Office to Stairwell</li> </ul> <p>All were recorded at the Aalto University campus using a Genelec 8331A coaxial loudspeaker and an mh acoustics Eigenmike (32 capsule spherical microphone array for fourth order spherical harmonic capture). Each transition features 101 measurements in 5cm intervals from 2.5m inside the first room to 2.5m inside the second room. Transitions are repeated four times corresponding to four different source positions: two inside each room, one which has no continuous line-of-sight with the microphone when in the opposing room, and one which retains a direct continuous line-of-sight with the microphone for all measurement positions. </p> <p>The spatial room impulse responses are downloadable in either Spatially Oriented Format for Acoustics (SOFA) and Wav formats. Supplementary data includes amplitude plots, direct-to-reverberant graphs, estimated direction-of-arrival plots and scaled illustrations of room geometries and source positions. </p> <p>Changelog: </p> <p>V 1.0 - Initial version<br> V 1.1 - Added plots only download option<br> V 1.2 - Improved time alignment of impulse responses and changed normalisation to a single value relative to the maximum of the entire dataset<br> V 1.3 - SOFA files updated to latest Matlab API (1.1.3), 'SingleRoomDRIR' convention, with SourcePosition data corrected. The SOFA files for each transition are also now downloadable separately, in case the entire dataset is not required. <br> V 1.4 - SRIRs have been denoised using the technique described in https://www.aes.org/e-lib/browse.cfm?elib=21800 and available at https://github.com/chris-hld/Directional-Multi-Slope-Room-Impulse-Response-Denoising. This is particularly noticeable for measurements with a low SNR, such as where there is a large distance between source and receiver and occluded direct path. Note that the wav files have not been included in this release - see previous releases if wav files (not denoised) are required. SOFA files are renamed and available to download separately.</p>
Dataset for paper "Linearity Extension of UHV Class Lightning Impulse Dividers up to 3000 kV"
<p>Dataset for publication<em> Linearity Extension of UHV Class Lightning Impulse Dividers up to 3000 kV</em> by Hällström, Jari; Elg, Alf-Peter; Nieminen, Tatu; Havunen, Jussi; Zhao, Wei; Splinter, Imke; Rietveld, Gert; Kamphuis, Geert; Termorshuizen, Wim; van Nes, Paul; Lahti, Kari; Kujda, Mateusz; Passon, Stephan; Merev, Ahmet; Li, Chuansheng; <a href="https://doi.org/10.5281/zenodo.8208382">https://doi.org/10.5281/zenodo.8208382</a></p> <p> </p>
Comparison of 2D and 3D Multichannel Audio Rendering Methods for Hearing Research Applications using Technical and Perceptual Measures - Impulse Responses and Scene Recordings
<p>This database contains recordings of impulse responses (IRs.zip) and virtual acoustic scenes (scenes.zip), with different 2D and 3D multichannel loudspeaker rendering methods. This upload contains conplementary data to [1].</p> <p>The virtual acoustic scenes are a 'concert' of an orchestra with approximately 60 primary sound sources [2] in a reverberant room, a 'speech' scene with a single talker in the same room, and a 'street' scene with static and moving sound sources.</p> <p>Recordings were performed with a G.R.A.S. 45BB Head and Torso Simulator (Kemar) placed in the center of the loudspeaker array in the lab, with ears at 1.60 m height. Recordings include the left and right ear channel. The simulator was equipped with large anthropometric pinnae of type KB5001. All recordings are provided for each rendering method that was applied in the study [1].</p> <p>Impulse responses were recorded using sine sweeps [3], sampling frequency was 44100 Hz. The impulse responses were truncated to 1.2 s. The scenes were recorded with a sampling frequency 44100 Hz.</p> <p> </p> <p>Files are named with the following convention:</p> <p>filetype_scene_renderingmethod_source.[mat/wav]</p> <p> </p> <p>References:</p> <p>[1] M. Gerken, V. Hohmann, G. Grimm, "Comparison of 2D and 3D Multichannel Audio Rendering Methods for Hearing Research Applications using Technical and Perceptual Measures," Acta Austica 2024, in press.</p> <p>[2] C. Böhm, D. Ackermann, and S. Weinzierl, "A Multi-channel Anechoic Orchestra Recording of Beethoven's Symphony No. 8 op. 93," Journal of the Audio Engineering Society, vol. 68, no. 12, pp. 977–984, Jan. 2021, doi: 10.17743/jaes.2020.0056.</p> <p>[3] A. Farina, "Simultaneous Measurement of Impulse Response and Distortion with a Swept-Sine Technique," in Audio Engineering Society Convention 108, Feb. 2000. [Online]. Available: http://www.aes.org/e-lib/browse.cfm?elib=10211</p>
tDCS and Impulsivity
ClinicalTrials.gov study NCT05845164. IPD Sharing: NO. Countries: 1. Publications: 27.
Multicenter Study of Impulse Oscillometry in Chinese
ClinicalTrials.gov study NCT03467880. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Impulse Control Disorders in Parkinson's Patients Treated With Pramipexole and Other Agents (DOMINION Study)
ClinicalTrials.gov study NCT00617019. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Evaluation of the Reversibility of the Bronchial Obstruction by Impulse Oscillometry Technique in Chronic Obstructive Pulmonary Disease (COPD): Correlation With Functional Features Measured by Plethys
ClinicalTrials.gov study NCT02928744. IPD Sharing: NO. Countries: 1. Publications: 1.
Video Head Impulse Test and Seasickness Susceptibility
ClinicalTrials.gov study NCT05657340. IPD Sharing: NO. Countries: 1. Publications: 1.
Emotional Regulation, Cognition, Impulsivity and Reward System in Obesity: A Prospective Study of Bariatric Surgery
ClinicalTrials.gov study NCT03528044. IPD Sharing: NO. Countries: 1. Publications: 83.
Changing Impulsivity With Mindful Breathing Therapy to Reduce Problem Drinking
ClinicalTrials.gov study NCT02527720. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Transcranial Direct Current Stimulation for Impulsivity and Food-related Impulsivity in Obesity
ClinicalTrials.gov study NCT04218383. IPD Sharing: NO. Countries: 1. Publications: 15.
Efficacy of Acceptance and Commitment Therapy on Impulsivity and Suicidality Among Clients With Bipolar Disorders
ClinicalTrials.gov study NCT05693389. IPD Sharing: NO. Countries: 1. Publications: 5.
Post-operative Complication, Impulsive Compression, in Situ Bypass
ClinicalTrials.gov study NCT03192982. IPD Sharing: YES. Countries: 1. Publications: 1.
Frontal iTBS for Impulsivity and Suicidal Ideation in Veterans With Mild Traumatic Brain Injury
ClinicalTrials.gov study NCT05647044. IPD Sharing: YES. Countries: 1. Publications: 1.
Dopamine and Opioid Receptor Antagonists Reduce Cue-induced Reward Responding and Reward Impulsivity
ClinicalTrials.gov study NCT02557984. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Emotional Regulation, Impulsivity in Cannabis Its Relation to MRI Brain Structure
ClinicalTrials.gov study NCT03483220. IPD Sharing: NO. Countries: 1. Publications: 8.
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.