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opencc-zeroDec 2016View details →

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.

opencc-zeroDec 2016View details →

Data from: Assessment of dynamic material properties of intact rocks using seismic wave attenuation: an experimental study

The mechanical properties of any substance are essential facts to understand its behaviour and make the maximum use of the particular substance. Rocks are indeed an important substance, as they are of significant use in the energy industry, specifically for fossil fuels and geothermal energy. Attenuation of seismic waves is a non-destructive technique to investigate mechanical properties of reservoir rocks under different conditions. The attenuation characteristics of five different rock types, siltstone, shale, Australian sandstone, Indian sandstone and granite, were investigated in the laboratory using ultrasonic and acoustic emission instruments in a frequency range of 0.1–1 MHz. The pulse transmission technique and spectral ratios were used to calculate the attenuation coefficient (α) and quality factor (Q) values for the five selected rock types for both primary (P) and secondary (S) waves, relative to the reference steel sample. For all the rock types, the attenuation coefficient was linearly proportional to the frequency of both the P and S waves. Interestingly, the attenuation coefficient of granite is more than 22% higher than that of siltstone, sandstone and shale for both P and S waves. The P and S wave velocities were calculated based on their recorded travel time, and these velocities were then used to calculate the dynamic mechanical properties including elastic modulus (E), bulk modulus (K), shear modulus (µ) and Poisson's ratio (ν). The P and S wave velocities for the selected rock types varied in the ranges of 2.43–4.61 km s−1 and 1.43–2.41 km h−1, respectively. Furthermore, it was observed that the P wave velocity was always greater than the S wave velocity, and this confirmed the first arrival of P waves to the sensor. According to the experimental results, the dynamic E value is generally higher than the static E value obtained by unconfined compressive strength tests.

opencc-by-4.0Oct 2023View details →

seismic data

The file contains three types of earthquake data: natural earthquakes, explosions, and collapses.

opencc-by-4.0Jan 2024View details →

Data series of seismic events for the article "Seismic monitoring using the telecom fiber network"

The file "catalog.h5" contains the catalog of seismic events analyzed in the paper "Seismic monitoring using the telecom fiber network" by S. Donadello et al., Commun Earth Environ 5, 178 (2024) <a href="https://doi.org/10.1038/s43247-024-01338-2">https://doi.org/10.1038/s43247-024-01338-2</a> (formerly "Earthquake observatory with coherent laser interferometry on the telecom fiber network" on arXiv preprint). The reported data correspond to raw recordings, acquired by coherent interferometry techniques on a telecommunication fiber (see also <a href="doi.org/10.1109/TIM.2023.3288255">https://doi.org/10.1109/TIM.2023.3288255</a>), and decimated to a lower sampling rate. The catalog is organized as about 900 seismic events in the period between June 19th, 2021 and Sept. 26th, 2022, between Feb. 6th and March 23th 2023, and between Nov. 9th, 2022 and Nov. 18th, 2022, according to the criteria described in the paper. A detailed description of the ".h5" file format is provided in "h5_file_description.txt". A Python3 script "h5_cat_parser.py" for data interpretation in terms of standard python structures is provided.

openSep 2022View details →

Research data for "Tidal modulation of the seismic activity related to the 2021 La Palma volcanic eruption"

Research data for                Tidal modulation of the seismic activity related to the 2021 La Palma volcanic eruption Luis Miguelsanz (1), José Fernández (1), Juan F.Prieto (2), Kristy F. Tiampo (3) (1) Institute of Geosciences (IGEO), CSIC-UCM, Calle del Doctor Severo Ochoa, 7. 28040-Madrid, Spain. (2) E.T.S. de Ingenieros en Topografía, Geodesia y Cartografía, Universidad Politécnica de Madrid, 28031-Madrid, Spain. (3) Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO, USA.                                                                                                                                  Introduction This set of files contains data supporting the tables and figures featured in the journal article.   File Ts01.xlsx shows earthquake data belonging to the Phase 0 defined in the manuscript, as well as tidal stress phases and amplitudes obtained for each event using the methodology explained in the text.  Files Ts02.xlsx and Ts03.xlsx are datasets analog to File Ts01.xlsx, but using data corresponding to Phase 1 and Phase 2 respectively.  Data of Files Ts01.xlsx, Ts02.xlsx and Ts03.xlsx have been used to compose Tables 1, 2, 3, 4, and Figures 3, 4, 5, 6, 7. File Ts04.xlsx features tidal strain values (Volume strain and East-West, North-South and Vertical components) calculated at two-hour intervals for an imaginary focus whose epicenter is set at the  geographical center of all the epicenters of the catalogue, and whose depth is the mean depth of the events in the catalogue during the period 2021/08/31 – 2021/12/25. Data from File Ts04.xlsx has been used for composition of Figures 9 and 10 in the manuscript. File Ts05.xlsx features tidal stress values (East-West, North-South and Vertical components) calculated at two-hour intervals for an imaginary focus whose epicenter is set at the geographical center  of all the epicenters of the catalogue, and whose depth is the mean depth of the events in the catalogue during the period 2021/08/31 – 2021/12/25.  Data from File Ts05.xlsx has been used for composition of Figure 11 in the manuscript. File Ts06.xlsx features tidal stress values (ocean-loading tides and body tides) calculated at two-hour intervals for an imaginary focus whose epicenter is set at the geographical center of all the  epicenters of the catalogue, and whose depth is the mean depth of the events in the catalogue during the period 2021/08/31 – 2021/12/25.  Data from File Ts06.xlsx has been used for composition of Figure 12 in the manuscript. File Ts07.xlsx shows tidal tilt phases and amplitudes obtained for each event in the three Phases 0, 1, and 2 (North-South and East-West components). Data from File Ts07.xlsx has been used for composition of Figures 13 and 14 and Tables 5 and 6 in the manuscript. File Ts08.xlsx features tidal tilt values (North-South and East-West components) calculated at two-hour intervals for an imaginary focus whose epicenter is set at the geographical center of all  the epicenters of the catalogue during the period 2021/08/31 – 2021/12/25.  Data from File Ts08.xlsx has been used for composition of Figure 15 in the manuscript.  File Ts09.xlsx shows tidal stress phases and amplitudes calculated at two-hour intervals for an imaginary focus whose epicenter is set at the geographical center of all the epicenters of the catalogue,  and whose depth is the mean depth of the events in the catalogue throughout the year 2021. Data from File Ts09.xlsx has been used for the discussion in chapter 5 about the predominance of ocean-loading tides over solid earth tides. 1. Ts01.xlsx Data used to detect tidal stress correlations in Phase 0 of the volcanic crisis. 1.1 Column "Year", y. 1.2 Column "Month", m. 1.3 Column "Day", d. 1.4 Column "Hour", h. 1.5 Column "Minute", min. 1.6 Column "Second", s. 1.7 Column "Latitude", deg, latitude north of equator. 1.8 Column "Longitude", deg, longitude east of Greenwich. 1.9 Column "Depth", km. 1.10 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress. 1.11 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress. 1.12 Column "Phase_confining_stress_rate", deg, tidal phase angle assigned to the event, calculated for tidal confining stress rate. 1.13 Column "Amplitude_confining_stress_rate", Pa/h, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress rate. 1.14 Column "Magnitude", earthquake magnitude. 2. Ts02.xlsx Data used to detect tidal stress correlations in Phase 1 of the volcanic crisis. 2.1 Column "Year", y. 2.2 Column "Month", m. 2.3 Column "Day", d. 2.4 Column "Hour", h. 2.5 Column "Minute", min. 2.6 Column "Second", s. 2.7 Column "Latitude", deg, latitude north of equator. 2.8 Column "Longitude", deg, longitude east of Greenwich. 2.9 Column "Depth", km. 2.10 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress. 2.11 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress. 2.12 Column "Phase_confining_stress_rate", deg, tidal phase angle assigned to the event, calculated for tidal confining stress rate. 2.13 Column "Amplitude_confining_stress_rate", Pa/h, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress rate. 2.14 Column "Magnitude", earthquake magnitude. 2.15 Column "Autonum", autonumeric code. 3. Ts03.xlsx Data used to detect tidal stress correlations in Phase 2 of the volcanic crisis. 3.1 Column "Year", y. 3.2 Column "Month", m. 3.3 Column "Day", d. 3.4 Column "Hour", h. 3.5 Column "Minute", min. 3.6 Column "Second", s. 3.7 Column "Latitude", deg, latitude north of equator. 3.8 Column "Longitude", deg, longitude east of Greenwich. 3.9 Column "Depth", km. 3.10 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress. 3.11 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress. 3.12 Column "Phase_confining_stress_rate", deg, tidal phase angle assigned to the event, calculated for tidal confining stress rate. 3.13 Column "Amplitude_confining_stress_rate", Pa/h, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress rate. 3.14 Column "Magnitude", earthquake magnitude. 3.15 Column "Autonum", autonumeric code. 4. Ts04.xlsx Tidal strain calculated at two-hour intervals for for an imaginary focus whose epicenter is set at the geographical center of all the epicenters of the catalogue,  and whose depth is the mean depth of the events in the catalogue during the period 2021/08/31 – 2021/12/25. 4.1 Column "Latitude", deg, latitude north of equator. 4.2 Column "Longitude", deg, longitude east of Greenwich. 4.3 Column "Depth", km. 4.4 Column "Date", date in format yyyymmdd. 4.5 Column "Time", time in format hour : minute : second. 4.6 Column "Volume strain", nanostrain, tidal volume strain. 4.7 Column "East-West strain", nanostrain, tidal East-West strain. 4.8 Column "North-South strain", nanostrain, tidal North-South strain. 4.9 Column "Vertical strain", nanostrain, tidal Vertical strain. 5. Ts05.xlsx Tidal stress calculated at two-hour intervals for for an imaginary focus whose epicenter is set at the geographical center of all the epicenters of the catalogue,  and whose depth is the mean depth of the events in the catalogue during the period 2021/08/31 – 2021/12/25. 5.1 Column "Latitude", deg, latitude north of equator. 5.2 Column "Longitude", deg, longitude east of Greenwich. 5.3 Column "Depth", km. 5.4 Column "Date", date in format yyyymmdd. 5.5 Column "Time", time in format hour : minute : second. 5.6 Column "East-West stress", Pa, tidal East-West stress. 5.7 Column "North-South stress", Pa, tidal North-South stress. 5.8 Column "Vertical stress", Pa, tidal Vertical stress. 6. Ts06.xlsx tidal stress (ocean-loading tides and body tides) calculated at two-hour intervals for an imaginary focus whose epicenter is set at the geographical center of all  the epicenters of the catalogue, and whose depth is the mean depth of the events in the catalogue during the period 2021/08/31 – 2021/12/25.  6.1 Column "Latitude", deg, latitude north of equator. 6.2 Column "Longitude", deg, longitude east of Greenwich. 6.3 Column "Depth", km. 6.4 Column "Date", date in format yyyymmdd. 6.5 Column "Time", time in format hour : minute : second. 6.6 Column "Ocean tides stress", Pa, tidal stress due to ocean-loading tides. 6.7 Column "Body tides stress", Pa, tidal stress due to body tides. 7. Ts07.xlsx Tidal tilt phases and amplitudes for the events in the three Phases 0, 1, and 2. 7.1 Column "Phase", number of the phase of the seismic unrest, as defined in the manuscript (0, 1, and 2). 7.2 Column "Year", y. 7.3 Column "Month", m. 7.4 Column "Day", d. 7.5 Column "Hour", h. 7.6 Column "Minute", min. 7.7 Column "Second", s. 7.8 Column "Latitude", deg, latitude north of equator. 7.9 Column "Longitude", deg, longitude east of Greenwich. 7.10 Column "Depth", km. 7.11 Column "Phase_tilt_NS", deg, tidal phase angle assigned to the event, calculated for tidal tilt (North-South component). 7.12 Column "Ampl_tilt_NS", nrad, amplitude of the tidal half cycle in which the event occurs, calculated for tidal tilt (North-South component). 7.13 Column "Phase_tilt_EW", deg, tidal phase angle assigned to the event, calculated for tidal tilt (East-West component). 7.14 Column "Ampl_tilt_NS", nrad, amplitude of the tidal half cycle in which the event occurs, calculated for tidal tilt (East-West component). 7.15 Column "Magnitude", earthquake magnitude. 8. Ts08.xlsx Tidal tilt (North-South and East-West components) calculated at two-hour intervals for an imaginary focus whose epicenter is set at the geographical center of all  the epicenters of the catalogue during the period 2021/08/31 – 2021/12/25.  8.1 Column "Latitude", deg, latitude north of equator. 8.2 Column "Longitude", deg, longitude east of Greenwich. 8.3 Column "Depth", km. 8.4 Column "Date", date in format yyyymmdd. 8.5 Column "Time", time in format hour : minute : second. 8.6 Column "East-West tilt", nrad, East-West tidal tilt. 8.7 Column "North-South tilt", nrad, North-South tidal tilt. 9. Ts09.xlsx tidal stress phases and amplitudes calculated at two-hour intervals for an imaginary focus whose epicenter is set at the geographical center of all  the epicenters of the catalogue, and whose depth is the mean depth of the events in the catalogue throughout the year 2021. 9.1 Column "Latitude", deg, latitude north of equator. 9.2 Column "Longitude", deg, longitude east of Greenwich. 9.3 Column "Depth", km. 9.4 Column "Date", date in format yyyymmdd. 9.5 Column "Time", time in format hour : minute : second. 9.6 Column "Phase (body tides)", degrees, tidal stress phase angle calculated for body tides. 9.7 Column "Amplitude (body tides)", Pa, amplitude of the tidal half cycle, calculated for body tides. 9.8 Column "Phase (ocean tides)", degrees, tidal stress phase angle calculated for ocean-loading tides. 9.9 Column "Amplitude (ocean tides)", Pa, amplitude of the tidal half cycle, calculated for ocean-loading tides.

opencc-by-4.0Jan 2024View details →

Mechanical data of rotary shear experiments, temperature measurements, and temperature numerical models for the manuscript: "Mechanical energy dissipation during seismic dynamic weakening in calcite-bearing faults"

All data included in this data repository is ancillary to the manuscript "Energy dissipation during dynamic weakening in calcite-bearing fault rocks", submitted to Journal of Geophysical Research: Solid Earth. The data consists in time series of high velocity friction experiments run with SHIVA (INGV, Rome), time series acquired from a two-color pyrometer (UC3M), the synchronization of the two, and numerical models. The data format is .mat, proprietary to Matlab, but they can be easily accessed with Python (see <a href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.loadmat.html">link</a>). Each .mat contains vector of the measured variables when opened from Matlab, or dictionaries when opened using the scipy.loadmat() function. SHIVA and PYRO red data (calibrated data), fin data (synchronized data), and shivaRED vect data (numerical model data) are included in this data repository in separate folders. Numerical models are grouped in subfolder by type of model (the relation fin data to model is 1:n). We included the scripts to convert SHIVA raw data into SHIVA red data (<a href="https://github.com/aretu/shivaUNIX">link to shivaUNIX</a>), SHIVA and PYRO red data into fin data (/scripts/syncing2021.m), to obtain numerical models from fin data (<a href="https://github.com/aretu/shivaRED">link to shivaRED</a>), and to plot data (/scripts/making plots.ipynb).

opencc-by-4.0Mar 2024View details →

Data and scripts of "Seismic wavefield change preceding the eruption of Shinmoe-dake, Kirishima volcano, Japan, inferred from polarization analysis" by Takashi Hirose and Hideki Ueda

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opencc-zeroDec 2021View details →

Data from: A national VS30 model for South Korea to combine nationwide dense borehole measurements with ambient seismic noise analysis

The average shear-wave velocity within the top 30 m from the surface, VS30, represents site characteristics including the soil classification and site amplification that are essential information for building codes and seismic design. A novel method to determine a VS30 model based on a composite analysis of borehole standard penetration test numbers (SPT N) and horizontal-to-vertical (H/V) spectral ambient noise ratios is introduced. A national VS30 model for South Korea is determined using the method. The shear-wave velocity structures beneath 20 nationwide broadband seismic stations are determined using the H/V analysis. The SPT N data are collected from 175,619 nationwide densely-distributed boreholes. The shear-wave velocity models from SPT N values are calibrated for the local reference velocity models from H/V analysis. A representative relationship between the SPT N values and shear-wave velocities is introduced. A national VS30 model for South Korea is determined using the calibrated SPT N models at the nationwide boreholes. The VS30 model is verified by comparisons with local field measurements. The proposed model is consistent with the USGS model based on a surface slope analysis. The VS30 structure presents high correlation with geological and topographic features. The VS30 values are low in coastal (low topographic) areas, and high in mountain (high topographic) areas. Apparent linear relationship is observed between VS30 and topography. The western and southeastern coastal regions may be vulnerable to strong seismic shaking.

Seismic datas generated while excavation of coal mine roadway

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Seismic reflection data of the Ganyanchi baisn, Haiyuan fault, NE Tibetan Plateau

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Marine multichannel seismic data collected during RV METEOR expedition M113 (University of Hamburg)

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opencc-by-4.0Sep 2024View details →

The Magnetotelluric data, 3D resistivity model, and the reprocessed Seismic data for Timmins, Canada

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opencc-by-4.0Oct 2024View details →

Data set in EDI format for the manuscript titled "2D Broadband Magnetotelluric Study of the Axial Fault Region of the New Madrid Seismic Zone"

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opencc-zeroSep 2021View details →

Data from: Frictional stability of metamorphic epidote in granitoid faults under hydrothermal conditions and implications for injection-induced seismicity

The effect of low-grade metamorphic epidote on fault stability in granitoids at shallow depth is not well understood. We present structured laboratory observations of epidote and simulated Pohang granodiorite (an EGS site) gouges and mixtures to evaluate their frictional responses. The experiments were performed on powdered rock gouges at a constant confining pressure of 110 MPa, pore fluid pressures of 42 and 63 MPa, temperatures of 100-250℃ and epidote percentages in the range of 0-100 vol.%. Results show that the simulated Pohang granodiorite gouge is frictionally strong (friction coefficient of ~0.71) but exhibits a transition from velocity-strengthening to velocity-weakening behavior at in-situ temperatures >150℃. Epidote gouge displays similar frictional strength to the simulated granodiorite gouge but a stronger velocity-weakening response at 150℃. Increasing the epidote content in the homogeneously mixed gouges maintains the high frictional strength but increases velocity-weakening response approximately proportionately with epidote content. Modes of epidote precipitation likely control patch dimension and this in turn potentially changes the response of the 50:50 epidote-granodiorite mixed gouges in different geometric configurations. However, 50:50 mixtures that are variously homogeneously mixed, encapsulated and checkerboarded in their architectures are insensitive to their various geometries – all reflect the high frictional strength and strong velocity-weakening response of 100:0 pure epidote. This suggests that small volume percentages of epidote present as thin coatings on fractures and faults can impart velocity-weakening behavior, independent of individual patch size and can thereby support the potential seismic reactivation of faults. Considering the frictional and stability properties of epidote at conditions typical of shallow depths, the presence of low-grade metamorphism exerts a potentially important control on fault stability in granitoids with relevance as a marker mineral for susceptibility to injection-induced seismicity.

opencc-by-4.0Nov 2022View details →

Saskatchewan seismic data set 3

Seismic data from Saskatchewan glacier. Includes the waveform data, the log files, and the instrument response file.

opencc-by-4.0Nov 2022View details →

Saskechewan Seismic data 1

Seismic data from Saskatchewan glacier. Includes the waveform data, the log files, and the instrument response file.

Hypocenter and phase data in by temporal seismic observation on 2000 & 2017 in and around hypocentral area of the 2000 Western Tottori Earthquake

The tar file includes phase data, station, and velocity structure in the temporal observation on 2000 and 2017 in the 2000 Western Tottori earthquake. Contents: Folder pubdat2405:               newstruct.ttr17 : 1D velocity structure used in the hypocenter determination. Format: https://wwweic.eri.u-tokyo.ac.jp/WIN/man.ja/ [First line] Latitude (°), longitude (°), depth (km) of initial epicenter (3F10.0) [2nd line] Number of layers and structure name (I5, 2X, A3) [Line 3] P wave velocity at the top of each layer (km/s) (7F10.0) [4th line] Thickness of each layer (km) (7F10.0) [Line 5] Uncertainty of initial hypocenter (time of epicenter (s), latitude (km), longitude (km), depth (km)) (4F10.0) However, of the "initial hypocenter uncertainty" "Epicenter time(s)" is not actually used. Subfolder 2000 and 2017: ALL Phase data for 2000 and 2017 OBS (incl. focal mechanism un-determined). Each file was written in the “WIN” format. (<a href="https://wwweic.eri.u-tokyo.ac.jp/WIN/man.en/pickfile.html">https://wwweic.eri.u-tokyo.ac.jp/WIN/man.en/pickfile.html</a> )

publicDec 2021View details →

Data from: A national VS30 model for South Korea to combine nationwide dense borehole measurements with ambient seismic noise analysis

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publicMay 2021View details →

Data from: Earthquake-spawning faults in the Seoul metropolitan area and their seismic implications

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