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662 results for “seismicity”
Marsquake locations and 1-D seismic models for Mars from InSight data
<p>Data used to draw the figures in the paper 'Marsquake locations and 1-D seismic models for Mars from InSight data'.</p>
Mechanical data of rotary shear experiments for the manuscript: "Determination of parameters characteristic of dynamic weakening mechanisms during seismic faulting in cohesive rocks".
<p>Mechanical data of rotary shear experiments and temperature measurements</p> <p>Each experiment is presented in a file with the experiment name (mechanical data of rotary shear experiment) and a file with the experiment name and _Temp (temperature measurement with the optical fiber).</p> <p>Mechanical data are presented in a tab-delimited file with calibrated measurements of:</p> <ul> <li>Time (milliseconds)</li> <li>Normal stress: Normal (MPa) </li> <li>Fault displacement: Slip (mm)</li> <li>Fault velocity: Velocity (mm/s)</li> <li>Shear stress: Shearstress (MPa)</li> <li>Axial shortening: Shortening (mm).</li> </ul>
Strateole-2 data set associated to the publication "A seismic network in the stratosphere"
<p>NetCDF files of the pressure and temperature data of TSEN sensors, and GPS coordinates, on board EUROS gondolas of Strateole-2 project (stratospheric balloons deployed during fall 2021).</p> <p>One file per gondola, associated to the 4 balloons detecting the Flores quake (2021/12/14 3:20:35.8 GMT) and to a single balloon detecting the Northern Peru quake (2021/11/28 10:52:25.8 GMT).</p> <p>These data cover one hour before and 2 hours after the quake. The rest of the Strateole-2 data will be released by the project. This SUbset is associated to the publication "A seismic network in the stratosphere.</p>
Simulation files to accompany the manuscript "Two-dimensional basin-scale seismic site effects in the Kitimat Valley, British Columbia, Canada: A practical example of using a fast hybrid FE/BE method"
<p>Simulation files to accompany the two-dimensional basin-scale seismic site effects investigation in the Kitimat valley, located in the northern coastal region of British Columbia, Canada.</p>
Seismic catalogs of the 2020-2021 seismic swarm at the Bransfield Strait, Antarctica
<p>Three seismic catalogs are available:</p> <p>1. Single station catalog for station JUBA based on the Lassie software<br> 2. Moment tensor inversion catalog with moment tensor classification<br> 2. Template matching catalog</p>
Delineating the Controlling Factors of Hydraulic Fracturing-Induced Seismicity in the Northern Montney Play, Northeastern British Columbia, Canada, with Machine Learning
<p>Earthquake catalog for northern Montney Play from 2014-2021.</p>
Data and program codes to reproduce the results of seismic tomography for Okmok
<p>This file contains the files to reproduce the results presented in the article: Kasatkina, E., Koulakov I., Grapenthin, R., Izbekov, P., Larsen, J., Al Alifi, N., and Qaysi, S.I. (2022). Multiple shallow magma sources beneath the Okmok caldera as inferred from local earthquake tomography, <em>Journal of Geophysical Research, Solid Earth</em>.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Okmok Caldera in Aleutian Islands.</p> <p>3. README_OKMOK.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p>
Dataset files for 'Tan et al., Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Seismic Velocity Structure and Pore Pressure Field Models'
<p>These files are the data and result files for the manuscript entitled<strong> 'Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Seismic Velocity Structure and Pore Pressure Field Models'</strong> by Tan et al., including</p> <p>catalog.dat : the seismic phase catalog used in seismic tomography</p> <p>station.dat : the station coordinates of the local seismic network</p> <p>relocation.dat : the earthquake relocations obtained by double-difference seismic tomography</p> <p>1-D Vs.xlsx : the 1-D Vs model in the shale gas field</p> <p>3-D Vp.dat: the 3-D Vp model obtained by DD seismic tomography</p> <p>3-D Vs.dat: the 3-D Vs model obtained by DD seismic tomography</p> <p>3-D VpVs.sgy: the 3-D Vp/Vs model obtained by DD seismic tomography (3-5 km)</p> <p>3-D pressure.sgy: the 3-D pore pressure field model obtained by focal mechanism tomography (3-5 km)</p>
Dataset files for 'Tan et al., Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Seismic Velocity Structure and Pore Pressure Field Models'
<p>These files are the data and result files for the manuscript entitled<strong> 'Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Seismic Velocity Structure and Pore Pressure Field Models'</strong> by Tan et al., including</p> <p><strong>station.dat</strong> : the station coordinates of the local seismic network (including the station ID, longitude, latitude, elevation(negative)/depth(positive), X, Y)</p> <p><strong>catalog.dat</strong> : the seismic phase catalog used in double-difference (DD) seismic tomography</p> <p><strong>relocation.dat </strong>: the earthquake relocations obtained by DD tomography</p> <p><strong>1-D Vs.xlsx</strong> : the 1-D Vs model in the shale gas field</p> <p><strong>3-D Vp.dat</strong>: the 3-D Vp model obtained by DD tomography</p> <p><strong>3-D Vs.dat</strong>: the 3-D Vs model obtained by DD tomography</p> <p><strong>3-D VpVs.sgy</strong>: the 3-D Vp/Vs model (interpolated, within 3-5 km)</p> <p><strong>3-D pressure.sgy</strong>: the 3-D pore pressure field model (interpolated, within 3-5 km)</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>
Event Data used in Seismic anisotropy along the Haida Gwaii margin from receiver function analysis
<p>This CSV file contains metadata for earthquake events used in the study: Seismic anisotropy along the Haida Gwaii margin from receiver function analysis</p> <p>Event start time (UTC), latitude, longitude, depth, magnitude and the seismic station at which the event is recorded are included.</p>
Seismic data Krysuvik Iceland
<p class="ListParagraph1">Microearthquake hypocenters were analysed in the Krýsuvík geothermal area in SW-Iceland with data taken from two consecutive passive seismic surveys, 2005 and 2009. Five years prior to the 2005 survey, this area was struck by an earthquake initiating a major top-to-bottom fluid migration in the upper crust. We observe from our surveys a complex bottom-to-top migration of seismicity with time following this fluid penetration, suggesting the migration of a pore pressure front controlled by the upper-crust fracture system. We interpret these data as the time and space development of high-temperature hydrothermal cells from a deep upper crustal fluid reservoir in the supercritical field. These results provide an insight into the coupling mechanisms between active tectonics and fluid flow in upper-crustal extensional systems with high thermal flux.</p>
A small CO2 leakage may reactivate a sub-seismic fault in a good-porosity clastic saline aquifer
<p>Seismograms.h5: HDF5 data set that contains the raw seismograms for all the 19 events (named ‘/event_X’ for the X-th event). Each seismogram contains 909 channels and 7000 samples for each trace, with a sampling frequency 1 kHz. The channel identification is stored in ‘/receiver_coordinates’, a 909 by 6 array, with the six columns having receiver line number, station number within the line, station name, UTM (zone 54H) easting (meters), UTM (zone 54H) northing (meters), and elevation (meters).</p>
Data files for 'Tan et al., (2023). Tomographic evidences for hydraulic fracturing induced seismicity in the Changning shale gas field, southern Sichuan Basin, China'
<p>station.dat : the station coordinates of the local seismic network (including the station ID, longitude, latitude, elevation(negative)/depth(positive), X, Y)</p> <p>catalog.dat : the seismic phase catalog used in double-difference (DD) seismic tomography</p> <p>relocation.dat : the earthquake relocations obtained by DD tomography</p> <p>1-D Vp&Vs.xlsx : the 1-D Vp and Vs models of the shale gas field</p> <p>3-D Vp.dat: the 3-D Vp model obtained by DD tomography</p> <p>3-D Vs.dat: the 3-D Vs model obtained by DD tomography</p> <p>3-D VpVs.dat: the 3-D Vp/Vs model obtained by DD tomography</p> <p>FMS&pore pressure.xlsx: the focal mechanism solutions and excessive fluid pressures of the selected earthquakes</p> <p>waveforms.rar: the waveforms of the earthquakes recorded by our local sparse array</p>
Dataset of the experimental campaign presented in the paper entitled "Shaking table seismic experimental investigation of lightweight rigid bodies"
<p>This study presents the findings of an extensive shaking table experimental campaign conducted on nine free standing wooden specimens, aiming at providing insights on the rigid body motion of free-standing objects. The specimens, which differ in slenderness and size, are characterized by impairments in their base surface and most likely in their shapes, which also lead to asymmetric responses. The imperfections of the tested objects are an additional source of uncertainty with respect to the intrinsic chaotic character of the rigid body motion, which is a crucial factor that prevents the reproducibility of the tests and induces discrepancies between specimen responses and those of their ideal models. A contactless measurement strategy is employed to assure unaltered data acquisition. The experimental campaign includes free vibration tests, pulse excitation and natural ground motions tests; the dynamic responses of the specimens are organized and rearranged, aiming at providing a comprehensive set of data that could be employed for calibrating numerical models accounting for imperfect conditions. The damping properties of the specimens are discussed, providing a novel estimation of the coefficient of restitution based on the free vibration tests. The limits of the ideal simple rigid model are highlighted, and the roles of size factor and aspect ratio are discussed according to the obtained results.</p>
Supporting Information for "Data analysis of the unsteadily accelerating GPS and seismic records at Campi Flegrei caldera from 2000 to 2021". Data Set S1. Extended dataset of all the analyses
<p>This compressed folder contains supporting information related to the Figures in the manuscript: "Data analysis of the unsteadily accelerating GPS and seismic records at Campi Flegrei caldera from 2000 to 2021".</p> <p>Files and folders labeled with G1…n are related to the GPS data, those labeled with H1…n are related to the seismic data.</p> <p>In particular: <br> Subfolder 1_DATA supports Figure 3 – the vertical and the horizontal moduli of ground displacement at all analyzed GPS stations; the logarithmic plots of all seismic events and of their energy. It also shows the complete plot leveling data from 1905 to 2010 (modified from del Gaudio et al., 2010). It also includes Figure 2 and Figure 6a-c.</p> <p>Subfolder 2_AnnualRate supports Figure 4 - the annual rate of the vertical and horizontal moduli of ground displacement at all analyzed GPS stations; the annual rate of all seismic events and of their energy. These detail the 2-year, the 6-month, and the 30-day average results. It also supports Figure 5 with similar data concerning 2018-2020.</p> <p>Subfolder 3_InverseRate supports Figure S3 - the inverse rate of the vertical and the horizontal moduli of ground displacement at all analyzed GPS stations; the inverse rate of all seismic events and of their energy. These detail the 2-year, 6-month, and 30-day average results, including detailed plots of 2018-2020.</p> <p>Subfolder 4_RateChange supports Figure S2 - the daily rate change of the vertical and horizontal moduli of ground displacement at all analyzed GPS stations; the daily rate change of all seismic events and of their energy. These detail the 2-year, the 6-month, and the 30-day average results, including detailed plots of 2018-2020.</p> <p>Subfolder 5_FourierCoef supports Figure 6 - the Fourier spectrum of the vertical and the horizontal moduli of ground displacement at all analyzed GPS stations. These detail the 2-year, 6-month, and 30-day average results obtained in 2000-2020, 2011-2020, 2018-2020. Also, additional plots that detail other combinations of time domain and part of the Fourier spectrum, thus testing the sensitivity of the main harmonics on the time domain selected.</p> <p>Subfolder 6_ FFM_WaitTime supports Figure 11 – waiting time examples based on vertical and horizontal moduli of ground displacement at all analyzed GPS stations; all seismic events, and their energy. These detail the 2-year, 6-month, and 30-day average rate results, and the 10-year, 5-year and 3-year regressions.</p> <p>Subfolder 7_FFM_FailTime also supports Figure 11 – all the results expressed in terms of the failure time t<sub>f</sub> instead of in terms of the waiting time [t<sub>f</sub>(t) - t].</p> <p>Subfolder 8_pFFM_Regression supports Figure 9 - the pFFM examples based on the vertical and the horizontal moduli of ground displacement at all analyzed GPS stations; all seismic events and of their energy. These detail the 2-year, 6-month, and 30-day average rate results, and the 10-year, 5-year and 3-year regression.</p> <p>Subfolder 9_pFFM_Probability supports Figure S4 - pFFM examples based on vertical and horizontal moduli of ground displacement at all analyzed GPS stations; all seismic events, and their energy. These detail the 2-year, 6-month, and 30-day average rates, and the 10-year, 5-year and 3-year regressions.</p> <p>Subfolder 10_BarplotProb supports Figure S5 - results expressed in terms of the mean failure time probability at 2, 5, 10, and 25 years.It also supports Figure S6 - examples based on 6-month, and 30-day average rate results.</p> <p>Subfolder 11_BarplotWaitTime supports Figure S6 - all the results expressed in terms of the waiting time (t<sub>f</sub> – t) barplot. It also includes Figure S5.</p>
Code for noise-based seismic velocity changes estimation with the Bezymianny volcano data set. Journal of Volcanology and Geothermal Research.
<p>This file contains all the data and the python scripts used to estimate seismic velocity changes for the Bezymianny volcano (Klyuchevskoy volcano group). It also includes a guideline README.pdf with the description how to reproduce all the results presented in the paper <strong>Berezhnev Y., Belovezhets N., Shapiro N., Koulakov I. (2022), Temporal changes of seismic velocities below Bezymianny volcano prior to its explosive eruption on 20.12.2017, Journal of Volcanology and Geothermal Research</strong></p>
Regional seismicity (ML≥1.0) from 2008 to 2022 for the Haiyuan fault system
<p>This data is the regional seismicity (ML≥1.0) from 2008 to 2022 from the article "Strain Accumulation and Release on the Haiyuan Fault System from Joint Analysis of InSAR, GPS and Seismological Observations".</p>
A successful short-term volcanic eruption forecasting using seismic features: datasets and Sotware
<p>Successful Short-Term Volcanic Eruption Forecasting Using Seismic Features, Suplementary Material</p> <p>by Rey-Devesa (1,2), Benítez (3), Prudencio, Ligdamis Gutiérrez (1,2), Cortés (1,2), Titos (3), Koulakov (4,5), Zuccarello (6) and Ibáñez (1,2).</p> <p><br> Institutions associated:</p> <p>(1) Department of Theoretical Physics and Cosmos. Science Faculty. Avd. Fuentenueva s/n. University of Granada. 18071. Granada. Spain.</p> <p>(2) Andalusian Institute of Geophysiscs. Campus de Cartuja. University of Granada. C/Profesor Clavera 12. 18071. Granada. Spain.</p> <p>(3) Department of Signal Theory, Telematics and Communication. University of Granada. Informatics and Telecommunication School. 18071. Granada. Spain.</p> <p>(4) Trofimuk Institute of Petroleum Geology and Geophysics SB RAS, Prospekt Koptyuga, 3, 630090 Novosibirsk, Russia</p> <p>(5) Institute of the Earth’s Crust SB RAS, Lermontova 128, Irkutsk, Russia</p> <p>(6) Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa (INGV-Pisa), via Cesare Battisti, 53, 56125, Pisa, Italy.</p> <p><br> Acknowledgment:</p> <p>This study was partially supported by the Spanish FEMALE project (PID2019-106260GB-I00).<br> P. Rey-Devesa was funded by the Ministerio de Ciencia e Innovación del Gobierno de España (MCIN),<br> Agencia Estatal de Investigación (AEI), Fondo Social Europeo (FSE),<br> and Programa Estatal de Promoción del Talento y su Empleabilidad en I+D+I Ayudas para contratos predoctorales para la formación de doctores 2020 (PRE2020-092719).<br> Ivan Koulakov was supported by the Russian Science Foundation (Grant No. 20-17-00075).<br> Luciano Zuccarello was supported by the INGV Pianeta Dinamico 2021 Tema 8 SOME project (grant no. CUP D53J1900017001)<br> funded by the Italian Ministry of University and Research<br> “Fondo finalizzato al rilancio degli investimenti delle amministrazioni centrali dello Stato e allo sviluppo del Paese, legge 145/2018”.<br> English language editing was performed by Tornillo Scientific, UK.</p> <p><br> Data availability statement:</p> <p>1.- Seismic data from Kilauea, Augustine, Bezymianny (2007), and Mount St. Helens are available from the IRIS data repository (http://ds.iris.edu/seismon/index.phtml).<br> (An example of the Python code to access the data is described below.)<br> 2.- Seismic data from Bezymianny (2017-2018) are available from Ivan Koulakov (ivan.science@gmail.com) upon request.<br> 3.- Seismic data from Mt. Etna are available from INGV-Italy upon request (http://terremoti.ingv.it/en/help),<br> also available from the Zenodo data repository (https://doi.org/10.5281/zenodo.6849621).</p> <p> </p> <p>Access code in Python to download the records of Kilauea, Augustine and Mount St. Helens volcanoes, from the IRIS data repository.</p> <p>'''To access the raw signals please first install ObsPy and then execute following commands in a python console: '''</p> <p>Example:</p> <p>from obspy.core import UTCDateTime<br> from obspy.clients.fdsn import Client<br> import obspy.io.mseed<br> client = Client('IRIS')<br> t1 = UTCDateTime('2006-01-10T00:00:00')<br> t2 = UTCDateTime('2006-01-12T00:00:00')<br> raw_data = client.get_waveforms(<br> network='AV',<br> station='AUH',<br> location='',<br> channel='HHZ',<br> starttime=t1,<br> endtime=t2)</p> <p>'''To further download station information execute: '''</p> <p>xml = client.get_stations(network='AV',station='AUH', <br> channel='HHZ',starttime=t1,endtime=t2,level='response')</p> <p>''' 'To scale the data using the station’s meta-data: '''</p> <p>data = raw_data.remove_response(inventory=xml)</p> <p>''' To filter, trim and plot the data execute: '''</p> <p>data.write("Augustine.mseed", format="MSEED")</p> <p>data.filter('bandpass',freqmin=1.0,freqmax=20)<br> data.trim(t1+60,t2-60)<br> data.plot()</p> <p>Contents:</p> <p>6 different Matlab codes. The principal code is called FeatureExtraction.<br> The codes rsac.m and ReadMSEEDFast.m are for reading different format of data. (Not developed by the group)<br> Seismic Data from Mt. Etna for using as an example.</p> <p> </p>
Seismic Noise from Gornergletscher, Switzerland (Summer 2007)
<p>This is a subset of open access data from the following reference; please cite accordingly: Walter, F. (2009). Seismic activity on gornergletscher during gornersee outburst floods. Dissertation, 31(1-2), 14–27. https://doi.org/10 .1007/BF03322148</p> <p>Curated by T. Sawi for the manuscript (in submission), "An Unsupervised Machine-Learning Approach to Understanding Seismicity at an Alpine Glacier" (2022) by T. Sawi; B. Holtzman; M. Nettles; F. Walter; J. Paisley; submitted to JGR: Earth Surface in August 2022.</p> <p>This data set contains sixty-second samples of glacial seismic noise (N=1,478) from the vertical channel of a Geospace GS-11D geophone operating in shallow borehole at Gornergletscher between June 14 and July 22, 2007. Sampling rate is 1000 samples per second, and the natural frequency of the instrument is around 8 Hz. An STA/LTA filter has been applied to remove records with prominent icequakes in them, although many smaller icequakes remain in the records.</p> <p>Waveform files are named after their event origin time in format 7{MDhms}. For example, waveform "70614004000.sac" occurred on June 14 00:40:00, 2007.<br> </p>
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