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18 results for “Infrasound”
Infrasound array data recorded in July-August, 2019, at Mt. Etna (Italy) during the VOSSIA field experiment
<p>We present infrasound data recorded by two infrasound arrays installed at Mt. Etna (Italy) within the framework of the VOSSIA (Volcanic emissions analysis through Seismic and Infrasound Advanced monitoring) project. VOSSIA was supported by the Trans-National Access component of the EUROVOLC project (European Network of Observatories and Research Infrastructures for Volcanology, EU Horizon 2020 Research Infrastructure Project grant No 731070).</p> <p>This data repository includes continuous raw waveforms recorded by two 6-element, small-aperture, infrasound arrays during July-August, 2019. The arrays, ENEA and ENCR, were installed on Mt. Etna in proximity of the summit Nord East and South East craters, respectively. ENEA was equipped with Chaparral M60 sensors (<a href="http://chaparralphysics.com/specs/specs_model60UHP.pdf">http://chaparralphysics.com/specs/specs_model60UHP.pdf</a>), while IST2018 microphones (<a href="https://doi.org/10.1016/j.jvolgeores.2019.106668">https://doi.org/10.1016/j.jvolgeores.2019.106668</a>) were installed at ENCR. Data at both arrays were recorded with a sampling frequency of 100 Hz and 24-bit resolution using DiGOS Datacube<sup>3</sup> digitizers (<a href="https://digos.eu/seismology-and-cubes/">https://digos.eu/seismology-and-cubes</a>).</p> <p>Waveform data are provided as day-long files in MSEED format (<a href="https://ds.iris.edu/ds/nodes/dmc/data/formats/">https://ds.iris.edu/ds/nodes/dmc/data/formats/</a>).</p> <p>We also provide metadata including:</p> <p>1) Station coordinates (.csv file station_coords.csv);</p> <p>2) Instrument_response.rar: Instrument response information in different formats (individual RESP files, SEED DATALESS, xlm DATALESS)</p>
Airborne Infrasound Data from The AtmoSOFAR Channel: First Direct Observations of an Elevated Acoustic Duct
<p>Airborne infrasound data including waveform recordings from two payloads attached to a single 6 m heliotrope that was launched at dawn (~0700 local) out of Belen Regional Airport, NM, USA. Balloon trajectory is also included. This data accompanies the publication titled, "The AtmoSOFAR Channel: First Direct Observations of an Elevated Acoustic Duct" submitted to Earth & Space Science.</p>
Vallée de la Sionne Snow Avalanche n. 20213009: GEODAR radar, Doppler radar and infrasound data
<p>This repository hosts infrasound, GEODAR radar, and Doppler radar data collected within a large powder snow avalanche (No. 20213009) that occurred naturally at the Vallée de la Sionne test site in Switzerland.</p> <p>These datasets complement and are described in the following publication:</p> <p>B. Sovilla, E. Marchetti, M. Kyburz, A. Köhler, P. Huguenin, I. Calic, M.J. Kohler, E. Surinach, and C. Pérez-Guillén, under review. "The dominant source mechanism of infrasound generation in powder snow avalanches," submitted to Geophysical Research Letters.</p>
Dataset for "Yield Estimation of the August 2020 Beirut Explosion by Using Physics-Based Propagation Simulations of Regional Infrasound"
<p>Dataset for “Yield Estimation of the August 2020 Beirut Explosion by Using<br> Physics-Based Propagation Simulations of Regional Infrasound”</p> <p>Authors: Keehoon Kim and Michael E. Pasyanos</p> <p>Lawrence Livermore National Laboratory, Livermore, CA, USA</p> <p>Description<br> This datset includes the infrasound waveform data recorded by the array at the<br> Mt. Meron (IMA) in Israel. A five-element array deployed by the National Data<br> Center of Israel (Fee et al., 2013), and all stations had Martec Tekelec MB2005<br> sensors which have a flat frequency response in the infrasound band (0.1–20Hz)<br> (Ponceau and Bosca, 2010). The infrasound data was provided by the National<br> Data Center of Israel, Soreq Nuclear Research Center, and the pressure<br> recordings only relevant to the 2020 Beirut explosion were uploaded to the<br> public repository (https://zenodo.org).</p> <p>File Description<br> IMA_array_infrasound_waveform.txt Pressure values in ASCII format for 5 stations</p> <p>Acknowledgments<br> This research was performed by the support from the U.S. Department of Energy,<br> National Nuclear Security Administration, Office of Defense Nuclear<br> Nonproliferation, Research and Development under the auspices of the U.S.<br> Department of Energy by the Lawrence Livermore National Laboratory under<br> Contract Number DE-AC52-07NA27344. This is LLNL Contribution LLNL-JRNL- 839419</p> <p>References<br> Fee, D., Waxler, R., Assink, J., Gitterman, Y., Given, J., Coyne, J., ... &<br> Grenard, P. (2013). Overview of the 2009 and 2011 Sayarim infrasound<br> calibration experiments. Journal of Geophysical Research Atmospheres, 118(12),<br> 6122-6143.</p> <p>Ponceau, D., & Bosca, L. (2010). Low-noise broadband microbarometers. In<br> Infrasound monitoring for atmospheric studies (pp. 119-140). Springer,<br> Dordrecht.</p>
Data from: Explosion-generated infrasound recorded on ground and airborne microbarometers at regional distances
Recent work in deploying infrasound (low frequency sound) sensors on aerostats and free flying balloons has shown them to be viable alternatives to ground stations. However, no study to date has compared the performance of surface and free floating infrasound microbarometers with respect to acoustic events at regional (100s of kilometers) range. The prospect of enhanced detection of aerial explosions at similar ranges, such as those from bolides, has not been investigated either. We examined infrasound signals from three 1 ton TNT equivalent explosions using microbarometers on two separate balloons at ranges of 280 to 400 km and ground stations at ranges of 6.3 to 350 km. Signal celerities were consistent with acoustic waves traveling in the stratospheric duct. However, significant differences were noted between the observed arrival patterns and those predicted by an acoustic propagation model. Very low background noise levels on the balloons were consistent with previous studies that suggest wind interference is minimal on freely drifting sensors. Simulated propagation patterns and observed noise levels also confirm that balloon-borne microbarometers should be very effective at detecting explosions in the middle and upper atmosphere as well as those on the surface.
Infrasound data recording the August 2021 eruption of Fukutoku-Oka-no-Ba submarine volcano, Japan
<p>Infrasound data recorded at Chichijima of Ogasawara Islands, Japan. The data include signals from the Fukutoku-Oka-no-Ba eruption from 13 to 15 of August, 2021 (Maeno, F., T. Kaneko, M. Ichihara, Y.J. Suzuki, A. Yasuda, K. Nishida, and T. Ohminato, submitted to Communications Earth & Environment). The file is in Matlab data format in the following foramt:</p> <p>data.time (matlab date format)</p> <p>data.ph (band-passed data at 5-15 Hz with sampling rate of 100 Hz)</p> <p>data.lat (Station latitude)</p> <p>data.lon (Station longitude)</p> <p>data.elv (Station elevation in meter above sea level)</p> <p>data.sensor (Sensor type)</p> <p>data.unit (Unit of data.ph)</p> <p> </p> <p> </p>
Clear Ionospheric Detections of Infrasound produced by Conventional Surface Explosives
<p>These HDF5 files contain complex time series data from HF receptions of a Digisonde Portable Sounder 4D (DPS4D). Each data point is the phase and amplitude of a decoded Sky Map mode pulse. </p>
Local ground-based geophysical observation data (Borehole tilt, broadband seismic, and infrasound) accompanying the 2018 phreatic eruption at Kusatsu-Shirane volcano (Motoshirane)
<p>A geophysical observation dataset (borehole tilt, broadband seismic, infrasound, and GNSS displacement) accompanying the 2018 phreatic eruption at the Motoshirane cone of the Kusatsu-Shirane volcano. The data was obtained by the local geophysical observation network operated by Kusatsu-Shirane Volcano Observatory, Tokyo Institute of Technology. All time is JST (UTC+9). Terada et al. (2021), Yamada et al. (2021), and Yamada et al. (submitted) describe station locations and instrumentations.</p> <p> </p> <p>Tilt (text files: 20190123_stn_1_Hz.txt)</p> <p>format: yy/mm/dd hour:min sec NS tilt EW tilt</p> <p> </p> <p>Broadband seismic and infrasound waveforms (sac files)</p> <p>(ex: 1801230950_stn_cmp.s)</p> <p>*stn: station name</p> <p>*cmp: component</p> <p> </p> <p>GNSS displacement (pos file)</p> <p>(ex: stn1030_0591.pos)</p> <p>*stn: station name</p> <p>Displacements are calculated by kinematic analysis using 960591 (a GNSS station operated by Geospatial Information Authority of Japan) as a base station. The kinematic analysis was performed on RTKLIB (ver. 2.4.2, Takasu, 2013). See the header for each file for detail.</p> <p> </p> <p> </p> <p>References</p> <p> </p> <p>Terada, A., Kanda, W., Ogawa, Y., Yamada, T., Yamamoto, M., Ohkura, T., et al. (2021). The 2018 phreatic eruption at Mt . Motoshirane of Kusatsu – Shirane volcano, Japan: Eruption and intrusion of hydrothermal fluid observed by a borehole tiltmeter network. Earth, Planets and Space, 73. <a href="https://doi.org/10.1186/s40623-021-01475-4">https://doi.org/10.1186/s40623-021-01475-4</a></p> <p> </p> <p>Takasu, T. (2013), RTKLIB: An Open Source Program Package for GNSS Positioning.</p> <p> </p> <p>Yamada, T., Kurokawa, A. K., Terada, A., Kanda, W., Ueda, H., Aoyama, H., et al. (2021). Locating hydrothermal fluid injection of the 2018 phreatic eruption at Kusatsu-Shirane volcano with volcanic tremor amplitude. Earth, Planets and Space, 73(1), 1–15. https://doi.org/10.1186/s40623-020-01349-1</p>
An Infrasound Array Study of Mount St. Helens
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Supplementary Movies: High-rate very-long-period seismicity at Yasur volcano, Vanuatu: Source mechanism and decoupling from surficial explosions and infrasound
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Data from: Explosion-generated infrasound recorded on ground and airborne microbarometers at regional distances
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Data from: Proximal observations of epicentral infrasound generated by shallow low‐magnitude earthquakes in the Permian Basin, West Texas
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Dataset for: Contribution to Uncertainty Propagation Associated with On-Site Calibration of Infrasound Monitoring Systems
<p>Dataset containing the response data for the calibration of the MB5 microbarometer (Figure 5), the WNRS (Figure 6) and the sensor (Figure 8).</p>
Effects of Infrasound Exposure on Measures of Endolymphatic Hydrops
ClinicalTrials.gov study NCT03132961. IPD Sharing: NO. Countries: 1. Publications: 26.
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
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Data for "Martian Infrasound: Numerical Modeling and Analysis of InSight's Data"
<p>This dataset complements the paper "Martian Infrasound: Numerical Modeling and Analysis of InSight's Data", submitted to the Journal of Geophysical Research - Planets.</p>
imPulse™ Una Infrasound-to-ultrasound E-stethoscope
ClinicalTrials.gov study NCT04941209. IPD Sharing: NO. Countries: 3. Publications: 0.
Dataset for: "Assessment of eruption source parameters using infrasound: a case study from the 2021 eruption of Mt. Etna, Italy"
<p>This dataset includes infrasound array waveforms recorded during eruptive activity at Mt. Etna, Italy, on June 20-21, 2021.</p> <p>During volcanic eruptions, the injection of volcanic ash into the atmosphere poses a well-known danger to aviation. To predict the dispersal of airborne ash and identify high-risk areas, scientists rely on observations from volcanology, as well as empirical and numerical models. These models heavily depend on what are known as eruption source parameters, which include the rate of pyroclastic material ejected from volcanic vents and the maximum altitude achieved by eruption plumes. In recent times, infrasound has gained popularity as a valuable tool for monitoring volcanoes, and researchers are continuously exploring its potential for real-time assessment of eruption source parameters. The dataset provided here was used to showcase the potential of infrasound data for near-real-time evaluation of eruption rates. Our analysis of the infrasound array data allowed us to identify coherent arrivals during the eruptive activity. By integrating these signals, we estimated the volume flow rate and flow velocity at the vent. The flow velocity values we obtained at the vent during peak paroxysmal activity were found to be between 50 and 125 meters per second, which aligned with independent estimates derived from other ground-based remote sensing data. Finally, using the flow velocities derived from infrasound we performed numerical modelling of ash plume rise to estimate the maximum height achieved by the eruption column.</p>
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