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Dataset results
13 results for “Wind Noise”
Numerical simulation of the equatorial plasma bubble: the effect of seeding by the vertical winds and random background noise perturbations.
<p>A wide variety of small-amplitude waves widely exist in the ionosphere and have significant effects on the evolution of equatorial plasma bubbles. In this paper, we simulated equatorial plasma bubbles (EPB) seeded by vertical neutral wind perturbations with wavelengths of 125 km and 250 km, and compared the morphology characteristics of plasma bubble structures with those under random noise perturbations in the background density. The numerical results showed that both vertical winds and random background noise perturbations can contribute to the growth of plasma bubbles, and the perturbations under additional random background noise can promote the growth of the plasma bubble structures faster. Additionally, several processes of the nonlinear behavior of bifurcated EPB structures, including bifurcation, pinching, and small-scale turbulent structures, were successfully obtained. Our simulation captured supersonic flows within the low-density plasma structures characterized by vertical velocities of about 1.5 km/s, which is consistent with experimental studies found in the literature.</p>
zEPHYR - Audio files of recorded and auralized wind turbine noise
<p>Audio files associated with the publication "Wind farm noise prediction and auralization", Andrea P. C. Bresciani, Julien Maillard, Arthur Finez, submitted to Acta Acustica in Dec. 2023.</p> <p>Audio 1: Auralized noise for OC1 and SB1<br>Audio 2: Auralized noise for OC1 and SB2<br>Audio 3: Auralized noise for OC1 and SB3<br>Audio 4: Auralized noise for OC2 and SB1<br>Audio 5: Auralized noise for OC2 and SB2<br>Audio 6: Auralized noise for OC2 and SB3<br>Audio 7: Recorded noise for OC1 and SB1<br>Audio 8: Recorded noise for OC1 and SB2<br>Audio 9: Recorded noise for OC1 and SB3<br>Audio 10: Recorded noise for OC2 and SB1<br>Audio 11: Recorded noise for OC2 and SB2<br>Audio 12: Recorded noise for OC2 and SB3<br>Audio 13: Auralized noise for OC2 and SB2 without amplitude fluctuations</p>
Supplementary audio files: Propagation effects in the synthesis of wind turbine noise
<p>The audio files are supplementary files required for the audio article titled: "Propagation effects in the synthesis of wind turbine noise". Each audio file refers to a signal of a test obtained from the wind turbine noise model which is described in the article. </p> <p>The audio files can be read as: NNx-x-TETIN-eeeeeee.mp3</p> <p>NNx-x refers to the Test case and case number for the syntheisized trailing edge and turbulent inflow noise, eeeeeee is the description of the specific case.<br> (tauTT- angle of the receiver, ff - for free field, GPE for ground and propagation effects included, GPE_Turb for ground and propagation effects included with turbulence scattering)</p> <p>eg: C2-2-TETIN_tau80_GPE_Turb.mp3 is the synthesized sound for Test case C2-2 in the article which includes the ground and propagation effects and also scattering due to turbulence. The receiver is at an angle of 80° with respect to the wind direction. </p>
D7.3 Dataset of noise produced by Hog-Jaeren wind park (simulation)
<p>This dataset was used in Deliverable 7.3 of Upwards.</p> <p>For further explanations refer to Work Package 4.</p> <p>Contained are results of the noise simulation for the Hog-Jaeren wind park with south-east wind direction.</p> <p>The yaw misalignment of the turbines in the freestream was varied as indicated by the folder names. Here 270 corresponds to a yaw misalignment of 0° while 260 corresponds to -10°.</p> <p>There are several types of 2D plots available:</p> <ul> <li>OASPL: Shows the OASPL in dB(A) in the area of the park</li> <li>noise_regulation: Contains the OASPL in dB(A) in the neghborhood of the park as well as lines indicating distance and noise based regulations by the Norwegian government.</li> <li>annoyance_level: Based on the OASPL the percentage of people being annoyed by the noise is presented.</li> </ul> <p>The file 'OASPL_at_observer_in_dBA.txt' contains the coordinates of an observer as well as the OASPL at that point.</p> <p> </p>
Supplementary audio files: Physics-based synthesis of wind turbine noise
<p>The supplementary files required in the thesis "Physics-based synthesis of wind turbine noise" for the "Chapter 3: Synthesis tool". <br> <br> A repository can also be found on: https://sites.google.com/view/david-mascarenhas</p> <p><br> For the test cases: Section 3.9 --------------------------------------------------<br> The audio files are supplementary files required for the audio article titled: "Propagation effects in the synthesis of wind turbine noise". Each audio file refers to a signal of a test obtained from the wind turbine noise model which is described in the article. <br> The audio files can be read as: NNx-x-TETIN-eeeeeee.mp3<br> NNx-x refers to the Test case and case number for the syntheisized trailing edge and turbulent inflow noise, eeeeeee is the description of the specific case.<br> (tauTT- angle of the receiver, ff - for free field, GPE for ground and propagation effects included, GPE_Turb for ground and propagation effects included with turbulence scattering)</p> <p>eg: C2-2-TETIN_tau80_GPE_Turb.mp3 is the synthesized sound for Test case C2-2 in the article which includes the ground and propagation effects and also scattering due to turbulence. The receiver is at an angle of 80° with respect to the wind direction. </p> <p> </p> <p> </p>
Plasma Parameters From Wind Mission Radio Observations Using Quasi-Thermal Noise Spectroscopy
<p>Database of the high-resolution Velocity Diftribution Function (VDF) moments from Wind Thermal Noise Receiver (TNR) using Quasi-Thermal Noise (QTN) Spectroscopy</p>
Noise production by a Savonius type wind turbine- a comparison between single and five segment rotor.
<p>The following data set contains acoustic evaluation results from experimental studies performed on Savonius wind turbine. </p> <p>Noise from a typical single segment Savonius wind turbine has been compared to that of its five segment counterpart. This comparison is mainly conducted for three case:</p> <p> </p> <p>1. when rotor is loaded (giving us max coefficient of performance)</p> <p>2. when the rotor is not loaded (free rotation)</p> <p>3. when the rotor is stopped. </p> <p> </p> <p>Power characteristics of the two rotors have also been plotted, allowing to establish a comparison between noise and power produced.</p> <p> </p> <p> </p> <p> </p>
zEPHYR - Noise and performance correlation of a Savonius type vertical axis wind turbine.
The presented data set consists of noise measurement and performance characteristics obtained as a part of the experimental campaign in the Open Jet Facility (OJF) at Delft University of Technology. The observations have been recorded for a typical Savonius vertical axis wind turbine. Refer to the file "setup" for further experimental campaign details.
Test dataset for separation of speech, traffic sounds, wind noise, and general sounds
<p>The dataset was generated as part of the paper:<br> Deep Complex U-Net Ensemble for Outdoor Urban Sound Source Separation,<br> K. Arendt, A. Szumaczuk, B. Jasik, P. Masztalski, K. Piaskowski, M. Matuszewski, K. Nowicki, P. Zborowski.</p> <p>It contains various sounds from the Audio Set [1] and spoken utterances from VCTK [2] and DNS [3] datasets.</p> <p>Contents:<br> sr_8k/<br> mix_clean/<br> s1/<br> s2/<br> s3/<br> s4/<br> sr_16k/<br> mix_clean/<br> s1/<br> s2/<br> s3/<br> s4/<br> sr_48k/<br> mix_clean/<br> s1/<br> s2/<br> s3/<br> s4/</p> <p>Each directory contains 512 audio samples in different sampling rate (sr_8k - 8 kHz, sr_16k - 16 kHz, sr_48k - 48 kHz).<br> The audio samples for each sampling rate are different as they were generated randomly and separately.<br> Each directory contains 5 subdirectories:<br> - mix_clean - mixed sources,<br> - s1 - source #1 (general sounds),<br> - s2 - source #2 (speech),<br> - s3 - source #3 (traffic sounds),<br> - s4 - source #4 (wind noise).</p> <p>The sound mixtures were generated by adding s2, s3, s4 to s1 with SNR ranging from -10 to 10 dB w.r.t. s1.</p> <p><br> REFERENCES:</p> <p>[1] Jort F. Gemmeke, Daniel P. W. Ellis, Dylan Freedman,<br> Aren Jansen, Wade Lawrence, R. Channing Moore,<br> Manoj Plakal, and Marvin Ritter, “Audio set: An ontology<br> and human-labeled dataset for audio events,” in<br> Proc. IEEE ICASSP 2017, New Orleans, LA, 2017.</p> <p>[2] Christophe Veaux, Junichi Yamagishi, and Kirsten Mac-<br> Donald, “CSTR VCTK corpus: English multi-speaker<br> corpus for CSTR voice cloning toolkit, [sound],”<br> https://doi.org/10.7488/ds/1994, University of Edinburgh.<br> The Centre for Speech Technology Research<br> (CSTR). 2017.</p> <p>[3] Chandan K. A. Reddy, Ebrahim Beyrami, Harishchandra<br> Dubey, Vishak Gopal, Roger Cheng, Ross Cutler,<br> Sergiy Matusevych, Robert Aichner, Ashkan Aazami,<br> Sebastian Braun, Puneet Rana, Sriram Srinivasan, and<br> Johannes Gehrke, “The interspeech 2020 deep noise<br> suppression challenge: Datasets, subjective speech<br> quality and testing framework,” 2020.</p>
Wind Noise Dataset
<p> Wind Noise Dataset including artificially generated and mobilephone recorded samples.</p>
Power spectral density estimates of underwater wind and rain noise from the northeast Pacific continental margin
<p>Power spectral density (PSD) estimates of of underwater wind and rain noise used in the papers</p> <ul> <li> <p>Schwock, F., & Abadi, S. (2021a). Characterizing underwater noise during rain at the northeast Pacific continental margin. <em>The Journal of the Acoustical Society of America</em>, <em>149</em>(6), 4579–4595. https://doi.org/10.1121/10.0005440</p> </li> <li> <p>Schwock, F., & Abadi, S. (2021b). Statistical analysis and modeling of underwater wind noise at the northeast pacific continental margin. <em>The Journal of the Acoustical Society of America</em>, <em>150</em>(6), 4166–4177. https://doi.org/10.1121/10.0007463</p> </li> </ul> <p>The PSD estimates were computed using raw data from the Ocean Observatories Initiative (https://ooinet.oceanobservatories.org/). The data and documentation can be downloaded here:</p> <p>https://drive.google.com/drive/u/1/folders/19jvgp_86Ou2zW_GugETP29ZwVK2_GmUb</p>
Supporting information for: A pilot experiment on infrasonic lahar detection at Mount Adams, Cascades: Ambient infrasound and wind-noise characterization at a quiescent stratovolcano: time-lapse camera images
Open the record for dataset details and reuse information.
Effectiveness of Hearing-aid Based Wind-noise Algorithm
ClinicalTrials.gov study NCT00738244. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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