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21 results for “Seismic array”
DATA of "Resolving the 2D temporal evolution of subglacial water flow with dense seismic array observations."
<p>The data set contains all data presented in the paper: <strong>Observing the subglacial hydrology network and its dynamics with a dense seismic array</strong> published in PNAS ( <a href="https://doi.org/10.1073/pnas.2023757118">https://doi.org/10.1073/pnas.2023757118</a> )</p> <p>See our online presentation of this dataset: https://meetingorganizer.copernicus.org/EGU2020/EGU2020-10710.html.</p> <p>The present data and code concerns the source location obtained with matched-field-processing analysis and the hydraulic potential calculation (Shreve, R. L. Movement of Water in Glaciers. <em>J. Glaciol.</em> <strong>11</strong>, 205–214 (1972)).</p> <p>We perform source location over 1-sec long signal segment of the vertical component only. We filter the signal within the [3-7] Hz frequency range and coherently apply the MFP each 0.1 Hz within this range. To maximize our algorithm efficiency and minimize computational costs we use a gradient-based minimization algorithm (Nelder-Mead optimization) to converge to the best match between the trial and the observed phase delays rather than an exhaustive grid-search exploration. The convergence criterion is reached when the variance of values obtained over the last 5 iterations of the optimization is smaller than 1e<sup>-2</sup> with a maximum of 3000 iterations. Our 29 different starting points used for optimization are located 250 m below the glacier surface and they uniformly cover an area of 800 x 800 m<sup>2</sup> centered on the array. We set the initial velocity to 1800 m.sec <sup>-1</sup>. The 29 punctual locations found per signal segment (1 sec) after convergence are located all in the same place if a clear global convergence exists (i.e. high MFP output) or at up to 29 different locations if up to 29 local minima exist (i.e. low MFP output).</p> <p>Timeseries of physical quantities can be found here <a href="https://doi.org/10.5281/zenodo.3701520">https://doi.org/10.5281/zenodo.3701520</a></p> <p>Spatial observations acquired during the same period can be found here <a href="https://doi.org/10.5281/zenodo.3971815">https://doi.org/10.5281/zenodo.3971815</a></p> <p> </p> <p>The RESOLVE project has been supported by a grant from LabEx OSUG@2020 (Investissement d’avenir – ANR10LABX56) and by the IDEX Université Grenoble Alpes. Most of the computations presented in this paper were performed using the GRICAD infrastructure (https://gricad.univ-grenoble-alpes.fr), which is supported by Grenoble research communities, and with the CiGri tool (https://github.com/oar-team/cigri) developed by Gricad, Grid5000 (https://www.grid5000.fr) and LIG (<a href="https://www.liglab.fr/">https://www.liglab.fr/</a>).</p> <p> </p> <p>You can find more information on the method and seismic dataset used in this paper here: <a href="https://zenodo.org/deposit/5645545">https://zenodo.org/deposit/5645545</a></p>
Seismic source location with a match field processing approach during the RESOLVE dense seismic array experiment on the Glacier d'Argentiere
<p>This deposit contains the data set we used in our paper ‘<em>Dynamic imaging of glacier structures at high-resolution using source localization with a dense seismic array</em>’. The paper is in review for GRL and a preprint can be found here: <a href="http://dx.doi.org/10.1002/essoar.10507953.1">10.1002/essoar.10507953.1</a>.</p> <p>The dataset present here contains 34 files named ‘<strong>beam_15423_jd***.h5</strong>’. These files correspond to the output of the matched field processing for each day. They are in .h5 format and we provide a matlab code (<strong>read_MFP_data.m</strong>) to read these files. These files can be read with any other language since they are in . h5.</p> <p>In linux you can use <strong>h5dump –A filename.h5</strong> and you can see the content of each files.</p> <p> </p> <p>More information on how the MFP process is conducted can be found in on the <a href="https://lecoinal.gricad-pages.univ-grenoble-alpes.fr/resolve/">website </a>dedicated to this aspect or on our paper. The whole procedure and associated codes is provided on the <a href="http://lecoinal.gricad-pages.univ-grenoble-alpes.fr/resolve/">lecoinal.gricad-pages.univ-grenoble-alpes.fr/resolve/</a>.</p> <p>We also deliver with this deposit one day of seismic data <strong><a href="https://zenodo.org/api/files/873ccbe8-814d-4202-90ae-e115aab1942d/ZO_2018_121.h5?versionId=c59d2014-a6e1-43c5-96a6-91ee9a6b89ce">ZO_2018_121.h5 </a></strong>that can be used to test our MFP process. The data corresponds to the signal measured for 24 hours at each of the 98 sensors with a sampling rate of 500 Hz. More information on these seimsic signals can be found on our <a href="https://lecoinal.gricad-pages.univ-grenoble-alpes.fr/resolve/">website </a>and the whole seimsic dataset can be found here <a href="https://seismology.resif.fr/networks/#/ZO__2018">https://seismology.resif.fr/networks/#/ZO__2018</a>. Detailed for downloading the dataset should be search on our website.</p> <p> </p> <p>Other dataset linked to this project are:</p> <ul> <li>Nanni, Ugo, Gimbert, Florent, Roux, Phillipe, & Lecointre, Albanne. (2020). DATA of "Resolving the 2D temporal evolution of subglacial water flow with dense seismic array observations." [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.4024660">https://doi.org/10.5281/zenodo.4024660 </a></li> <li>Nanni, Gimbert, Roux, Helmstetter, Garambois, Lecointre, Walpersdorf, Jourdain, Langlais, Laarman, Lindner, Sergenat, Vincent, & Walter. (2020). DATA of the RESOLVE Project (https://resolve.osug.fr/) [Data set]. In Seismological Research Letters (Version v0). Zenodo. <a href="https://doi.org/10.5281/zenodo.3971815">https://doi.org/10.5281/zenodo.3971815 </a></li> </ul> <p>This dataset is also linked to two other study:</p> <p><em>Observing the subglacial hydrology network and its dynamics with a dense seismic array: </em></p> <p><a href="https://doi.org/10.1073/pnas.2023757118">https://doi.org/10.1073/pnas.2023757118</a></p> <p><em>A Multi‐Physics Experiment with a Temporary Dense Seismic Array on the Argentière Glacier, French Alps: The RESOLVE Project</em></p> <p><a href="https://doi.org/10.1785/0220200280">https://doi.org/10.1785/0220200280</a></p> <p> </p> <p> </p> <p> </p> <p> </p> <p>Do not hesitate to contact us if you would like to try this approach an another dataset.</p>
Remnants of the amalgamation of the East and West Cathaysia blocks revealed by a short-period dense seismic array
<p>This is the data used to support relevant research, including the data of the teleseismic receiver function with the Gaussian factor of 10.0, which can be used to facilitate further relevant research.</p>
Reproducing nonlinear seismic response from in-situ soil dynamic parameters: application to the Delaney Park Downhole Array, Alaska
<p>The zip file named 'seismic data at DPDA.zip' contains all the seismic data used in our study.</p> <p>The DEEPSOIL file named 'ground response analysis at DPDA.dp' contains the numerical models used in our study.</p>
A temporary broadband seismic array in the largest desert of China: TASTE
<p>This includes the dataset of our manuscript submitted to Seismological Research Letters entitled with <em>A temporary broadband seismic array in the largest desert of China: TASTE</em></p>
Archive of the analysis results of the microtremor data obtained from a seismic array with a radius of 0.58 m distributed to the participants of the blind prediction experiments for the ESG6 symposium
<p>This is a supplemental material of the paper "Array-size dependency of the upper limit wavelength normalized by array radius for the standard spatial autocorrelation method" by Ikuo Cho, published in Earth, Planets and Space. It consists of the analysis results of the microtremor data observed using a seismic array with a radius of 0.58 m, which were distributed to the participants of the blind prediction experiments in ESG6. It involves all analysis results and script files to draw Figure 1 of the paper. See the "Availability of data and materials" section of the paper to download the original observed data and analysis code. See the main text of the paper for the details of the analysis.</p>
Additional dataset concerning "Observations of mantle seismic anisotropy using array techniques: shear-wave splitting of beamformed SmKS phases"
<p>SplitRacer input and output for beams and single-station splitting measurements for event 201007290731. This dataset was used in "Observations of mantle seismic anisotropy using array techniques: shear-wave splitting of beamformed SmKS phases" by Jonathan Wolf, Daniel A. Frost, Maureen D. Long, Ed Garnero, Adeolu O. Aderoju, Neala Creasy and Ebru Bozdag. The manuscript is available at <a href="https://doi.org/10.1029/2022JB025556">https://doi.org/10.1029/2022JB025556</a>.</p>
An improved earthquake catalog during the 2018 Kilauea eruption from combined onshore and offshore seismic arrays
<p>The Island of Hawai'i was formed by repeated eruptions of basalts at an oceanic hotspot. Kilauea, the youngest among the subaerial volcanoes of the island, erupted intensely in 2018. The eruption provided an opportunity to look into the mechanisms that operate at the volcano and associated earthquake activities, as it was recorded simultaneously, for the first time, by onshore and offshore seismometers. We used most of the publicly available seismic data during the eruption period, including temporary arrays, to build a more complete earthquake catalog during the eruption than that provided by the Hawaiian Volcano Observatory (HVO). We used a short-time-average/long-time-average (STA/LTA) method to identify potential earthquakes. The detections were associated into events and automatically picked with P- and S-wave arrivals, which were used to locate the events in a three-dimensional velocity model. After re-examining these earthquake events, their coda/duration magnitudes were determined. The resulting half-year catalog contains 375,736 events with one of the highest daily earthquake numbers ever reported (6,128 on June 21st, 2018). A great number of events were recorded during the caldera collapses, from its beginning untill its rapid ending. The catalog also contains abundant events near the Pu'u'o'o vent and in the lower East Rift Zone, where an increase of seismicity in the mid-July and August indicated a step-up in magma intrusion after the eruption.</p>
Codes, Catalogues and Data for "Deep Learning Phase Pickers: How Well Can Existing Models Detect Hydraulic-Fracturing Induced Seismicity from a Downhole Array"
<p><strong>Codes, Catalogues and Data available for:</strong> <br>"Deep Learning Phase Pickers: How Well Can Existing Models Detect Hydraulic-Fracturing Induced Seismicity from a Downhole Array"</p> <p><strong>Catalog</strong> folder: Contains the CMM (beam-forming based) event catalogue as well as event and station information for the PNR-1z site.</p> <p><strong>Classification Test</strong> folder: Jupyter notebooks that run the classification tests and mseed input data of isolated phases (P, S, Noise).</p> <p><strong>DL_model_catalogues</strong> folder: Contains full catalogues for each DL phase picker (GPD, U-GPD, EQT and PhaseNet) and the LinMEF-filtered catalogues.</p> <p><strong>Model_run_docs</strong> folder: Util/core files for PhaseNet and EQTransformer to read data with different sampling frequencies (i.e., not 100 Hz)</p> <p><strong>Data</strong> folder: Contains one hour of continuous downhole data (11th December 2018, 9am-10am) from the PNR-1z dataset.</p>
Travel times of temporary seismic arrays and 3-D Vp and Vs models in the mid-to-south segment of the Red River fault, China
<p>The travel times of the temporary seismic arrays are manually picked. The 3-D Vp and Vs models beneath the mid-to-south segment of the Red River fault are obtained based on the improved double-difference tomography method and abundant data. </p>
Seismic node array data for iMUSH shot Y4
<p>Matlab file containing waveform data with a sample rate of 250 Hz from 20 s before to 120 s after shot Y4.</p>
An improved earthquake catalog during the 2018 Kilauea eruption from combined onshore and offshore seismic arrays
Open the record for dataset details and reuse information.
Investigating the Characteristics of Microseisms using the Australian Seismic Arrays
<p>This repository contains supporting data for reproducing back-projection figures in the manuscript entitled "Investigating the Characteristics of Microseisms using the Australian Seismic Arrays". Please see the readme file in the directory.</p>
Valley of Mexico seismic records for array-based polarization analysis
<p>These seismic records were analyzed by Ruelas et al. (2024) "Array analysis of P-wave polarization data for constraining near-surface shear wave speeds: Application to the valley of Mexico seismic network" (https://doi.org/10.1093/gji/ggae355)</p> <p>The data herein presented were kindly provided by the "Red Sísmica del Valle de México (RSVM; Quintanar et al., 2018)", belonging to Servicio Sismológico Nacional (SSN, Mexican National Seismological Service); station maintenance, data acquisition, and distribution are thanks to its personnel. Financial support is provided by Consejo Nacional de Ciencia y Tecnología (CONACYT, National Council for Science and Technology), Universidad Nacional Autónoma de México (UNAM, National Autonomous University of Mexico), and Gobierno de la Ciudad de México (Government of Ciudad de México)."</p> <p>References</p> <p>Quintanar L., A. Cárdenas-Ramírez, D. I. Bello-Segura, V. H. Espíndola, J. A. Pérez-Santana, C. Cárdenas-Monroy, A. L. Carmona-Gallegos, and I. Rodríguez-Rasilla (2018); A Seismic Network for the Valley of Mexico: Present Status and Perspectives; Seismological Research Letters, Volume 89, Number 2A, pp. 356-362, March/April 2018; doi: 10.1785/0220170198.</p>
Batang dense seismic nodal array 2021
<p>eventBT.zip includes all 3-components waveform used to calculate receiver function.</p> <p>BTRF25.zip, BTRF35.zip and BTRF50.zip are receiver functions with Gaussian factor 2.5, 3.5 and 5.0, respectively.</p>
Seismic data and receiver functions from two linear dense nodal array in the southern Chinese Altai region
<p>Seismic data and receiver functions from two linear dense nodal array in the southern Chinese Altai region. All data are arranged by seismic events, and the number before the first dot of each file name represents the station number.</p>
Data from: The behavioural response of migrating humpback whales to a full seismic air gun array
Despite concerns on the effects of noise from seismic survey air guns on marine organisms, there remains uncertainty in the biological significance of any response. This study quantifies and interprets the response of migrating humpback whales (Megaptera novaeangliae) to a 3130 cui (51.3l) commercial air gun array. We compare the behavioural responses to active trials (array operational; n = 34 whale groups), with responses to control trials (source vessel towing the array while silent; n = 33) and baseline studies of normal behaviour in the absence of the vessel (n = 85). No abnormal behaviours were recorded during the trials. However, in response to the active seismic array and the controls, the whales displayed changes in behaviour. Changes in respiration rate were of a similar magnitude to changes in baseline groups being joined by other animals suggesting any change group energetics was within their behavioural repertoire. However, the reduced progression southwards in response to the active treatments, for some cohorts, was below typical migratory speeds. This response was more likely to occur within 4 km from the array at received levels over 135 dB re 1µPa2.s.
Microseismic activity and subsurface structure characteristic of the Laohutai coal mine in Northeast China based on a linear dense seismic array
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Microseismic activity and subsurface structural characteristic of the Laohutai coal mine in Northeast China based on a linear dense seismic array
Open the record for dataset details and reuse information.
Data from: The behavioural response of migrating humpback whales to a full seismic air gun array
Open the record for dataset details and reuse information.
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