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662 results for “seismicity”
Seismic Ground Motion Data Analyses for North-East Arkansas
<p>Estimation of liquefaction resistance and shear velocities are key elements in the assessment of potential earthquake damage of existing and new construction sites. The Arkansas Department of Transportation (ARDOT) and other agencies in the region need ground motion response analysis (GMRA) data of specific construction sites. As part of a recent ARDOT’s Transportation Research Committee (TRC) project, researchers have conducted geophysical investigations several construction sites in northeast Arkansas over the past twelve years. The current study gathered the previously reported test data and estimated seismic hazard properties such as shear wave velocity profiles and seismic hazard coefficients for nearby locations. Finally, seismic hazard profiles and liquefaction maps have been generated for selected sites in northeast Arkansas.</p>
Double-difference seismic attenuation tomography method and its application to The Geysers geothermal field, California
<p>Earthquake relocations and Vp and Qp models of The Geysers geothermal field developed by Guo and Thurber (2021).</p> <p> </p> <p>Reference:</p> <p>Hao Guo, Clifford Thurber, 2021. Double-difference seismic attenuation tomography method and its application to The Geysers geothermal field, California, Geophysical Journal International, ggab017, https://doi.org/10.1093/gji/ggab017</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.
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.
seismic data
<p>The file contains three types of earthquake data: natural earthquakes, explosions, and collapses.</p>
NLL-SC processing parameters for the relocation of the 2014-2023 Campi Flegrei seismicity
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Focused mantle upwelling beneath the Southeastern Asian Basalt Province revealed by seismic surface wave tomography
<p>This dataset contains the earthquake waveforms, the manually picked surface wave dispersion data, and the final inverted 3-D Vs model data for our research paper "Focused mantle upwelling beneath the Southeastern Asian Basalt Province revealed by seismic surface wave tomography", which has been published in <strong><em>Geophysical Research Letters</em></strong> (<a href="https://doi.org/10.1029/2023GL104336">https://doi.org/10.1029/2023GL104336</a>).</p>
Data series of seismic events for the article "Seismic monitoring using the telecom fiber network"
<p>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).</p> <p>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.</p> <p>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.</p> <p>A detailed description of the ".h5" file format is provided in "h5_file_description.txt".</p> <p>A Python3 script "h5_cat_parser.py" for data interpretation in terms of standard python structures is provided.</p>
Research data for "Tidal modulation of the seismic activity related to the 2021 La Palma volcanic eruption"
<p>Research data for <br> <br> Tidal modulation of the seismic activity related to the 2021 La Palma volcanic eruption</p> <p>Luis Miguelsanz (1), José Fernández (1), Juan F.Prieto (2), Kristy F. Tiampo (3)</p> <p>(1) Institute of Geosciences (IGEO), CSIC-UCM, Calle del Doctor Severo Ochoa, 7. 28040-Madrid, Spain.<br> (2) E.T.S. de Ingenieros en Topografía, Geodesia y Cartografía, Universidad Politécnica de Madrid, 28031-Madrid, Spain.<br> (3) Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO, USA.</p> <p> <br> </p> <p><br> Introduction</p> <p>This set of files contains data supporting the tables and figures featured in the journal article.<br> <br> 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. <br> Files Ts02.xlsx and Ts03.xlsx are datasets analog to File Ts01.xlsx, but using data corresponding to Phase 1 and Phase 2 respectively. <br> 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.</p> <p>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 <br> 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.<br> Data from File Ts04.xlsx has been used for composition of Figures 9 and 10 in the manuscript.</p> <p>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 <br> 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. <br> Data from File Ts05.xlsx has been used for composition of Figure 11 in the manuscript.</p> <p>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 <br> 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. <br> Data from File Ts06.xlsx has been used for composition of Figure 12 in the manuscript.</p> <p>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).<br> Data from File Ts07.xlsx has been used for composition of Figures 13 and 14 and Tables 5 and 6 in the manuscript.</p> <p>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 <br> the epicenters of the catalogue during the period 2021/08/31 – 2021/12/25. <br> Data from File Ts08.xlsx has been used for composition of Figure 15 in the manuscript. </p> <p>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, <br> and whose depth is the mean depth of the events in the catalogue throughout the year 2021.<br> 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.</p> <p>1. Ts01.xlsx Data used to detect tidal stress correlations in Phase 0 of the volcanic crisis.</p> <p>1.1 Column "Year", y.<br> 1.2 Column "Month", m.<br> 1.3 Column "Day", d.<br> 1.4 Column "Hour", h.<br> 1.5 Column "Minute", min.<br> 1.6 Column "Second", s.<br> 1.7 Column "Latitude", deg, latitude north of equator.<br> 1.8 Column "Longitude", deg, longitude east of Greenwich.<br> 1.9 Column "Depth", km.<br> 1.10 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 1.11 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 1.12 Column "Phase_confining_stress_rate", deg, tidal phase angle assigned to the event, calculated for tidal confining stress rate.<br> 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.<br> 1.14 Column "Magnitude", earthquake magnitude.</p> <p><br> 2. Ts02.xlsx Data used to detect tidal stress correlations in Phase 1 of the volcanic crisis.</p> <p>2.1 Column "Year", y.<br> 2.2 Column "Month", m.<br> 2.3 Column "Day", d.<br> 2.4 Column "Hour", h.<br> 2.5 Column "Minute", min.<br> 2.6 Column "Second", s.<br> 2.7 Column "Latitude", deg, latitude north of equator.<br> 2.8 Column "Longitude", deg, longitude east of Greenwich.<br> 2.9 Column "Depth", km.<br> 2.10 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 2.11 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 2.12 Column "Phase_confining_stress_rate", deg, tidal phase angle assigned to the event, calculated for tidal confining stress rate.<br> 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.<br> 2.14 Column "Magnitude", earthquake magnitude.<br> 2.15 Column "Autonum", autonumeric code.</p> <p><br> 3. Ts03.xlsx Data used to detect tidal stress correlations in Phase 2 of the volcanic crisis.</p> <p>3.1 Column "Year", y.<br> 3.2 Column "Month", m.<br> 3.3 Column "Day", d.<br> 3.4 Column "Hour", h.<br> 3.5 Column "Minute", min.<br> 3.6 Column "Second", s.<br> 3.7 Column "Latitude", deg, latitude north of equator.<br> 3.8 Column "Longitude", deg, longitude east of Greenwich.<br> 3.9 Column "Depth", km.<br> 3.10 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 3.11 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 3.12 Column "Phase_confining_stress_rate", deg, tidal phase angle assigned to the event, calculated for tidal confining stress rate.<br> 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.<br> 3.14 Column "Magnitude", earthquake magnitude.<br> 3.15 Column "Autonum", autonumeric code.</p> <p><br> 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, <br> and whose depth is the mean depth of the events in the catalogue during the period 2021/08/31 – 2021/12/25.</p> <p>4.1 Column "Latitude", deg, latitude north of equator.<br> 4.2 Column "Longitude", deg, longitude east of Greenwich.<br> 4.3 Column "Depth", km.<br> 4.4 Column "Date", date in format yyyymmdd.<br> 4.5 Column "Time", time in format hour : minute : second.<br> 4.6 Column "Volume strain", nanostrain, tidal volume strain.<br> 4.7 Column "East-West strain", nanostrain, tidal East-West strain.<br> 4.8 Column "North-South strain", nanostrain, tidal North-South strain.<br> 4.9 Column "Vertical strain", nanostrain, tidal Vertical strain.</p> <p><br> 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, <br> and whose depth is the mean depth of the events in the catalogue during the period 2021/08/31 – 2021/12/25.</p> <p>5.1 Column "Latitude", deg, latitude north of equator.<br> 5.2 Column "Longitude", deg, longitude east of Greenwich.<br> 5.3 Column "Depth", km.<br> 5.4 Column "Date", date in format yyyymmdd.<br> 5.5 Column "Time", time in format hour : minute : second.<br> 5.6 Column "East-West stress", Pa, tidal East-West stress.<br> 5.7 Column "North-South stress", Pa, tidal North-South stress.<br> 5.8 Column "Vertical stress", Pa, tidal Vertical stress.</p> <p><br> 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 <br> 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. </p> <p>6.1 Column "Latitude", deg, latitude north of equator.<br> 6.2 Column "Longitude", deg, longitude east of Greenwich.<br> 6.3 Column "Depth", km.<br> 6.4 Column "Date", date in format yyyymmdd.<br> 6.5 Column "Time", time in format hour : minute : second.<br> 6.6 Column "Ocean tides stress", Pa, tidal stress due to ocean-loading tides.<br> 6.7 Column "Body tides stress", Pa, tidal stress due to body tides.</p> <p><br> 7. Ts07.xlsx Tidal tilt phases and amplitudes for the events in the three Phases 0, 1, and 2.</p> <p>7.1 Column "Phase", number of the phase of the seismic unrest, as defined in the manuscript (0, 1, and 2).<br> 7.2 Column "Year", y.<br> 7.3 Column "Month", m.<br> 7.4 Column "Day", d.<br> 7.5 Column "Hour", h.<br> 7.6 Column "Minute", min.<br> 7.7 Column "Second", s.<br> 7.8 Column "Latitude", deg, latitude north of equator.<br> 7.9 Column "Longitude", deg, longitude east of Greenwich.<br> 7.10 Column "Depth", km.<br> 7.11 Column "Phase_tilt_NS", deg, tidal phase angle assigned to the event, calculated for tidal tilt (North-South component).<br> 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).<br> 7.13 Column "Phase_tilt_EW", deg, tidal phase angle assigned to the event, calculated for tidal tilt (East-West component).<br> 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).<br> 7.15 Column "Magnitude", earthquake magnitude.</p> <p><br> 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 <br> the epicenters of the catalogue during the period 2021/08/31 – 2021/12/25. </p> <p>8.1 Column "Latitude", deg, latitude north of equator.<br> 8.2 Column "Longitude", deg, longitude east of Greenwich.<br> 8.3 Column "Depth", km.<br> 8.4 Column "Date", date in format yyyymmdd.<br> 8.5 Column "Time", time in format hour : minute : second.<br> 8.6 Column "East-West tilt", nrad, East-West tidal tilt.<br> 8.7 Column "North-South tilt", nrad, North-South tidal tilt.</p> <p><br> 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 <br> the epicenters of the catalogue, and whose depth is the mean depth of the events in the catalogue throughout the year 2021.<br> 9.1 Column "Latitude", deg, latitude north of equator.<br> 9.2 Column "Longitude", deg, longitude east of Greenwich.<br> 9.3 Column "Depth", km.<br> 9.4 Column "Date", date in format yyyymmdd.<br> 9.5 Column "Time", time in format hour : minute : second.<br> 9.6 Column "Phase (body tides)", degrees, tidal stress phase angle calculated for body tides.<br> 9.7 Column "Amplitude (body tides)", Pa, amplitude of the tidal half cycle, calculated for body tides.<br> 9.8 Column "Phase (ocean tides)", degrees, tidal stress phase angle calculated for ocean-loading tides.<br> 9.9 Column "Amplitude (ocean tides)", Pa, amplitude of the tidal half cycle, calculated for ocean-loading tides.</p>
Tsunami Deposits in the Guerrero Seismic Gap, Mexico: Insights from Location Analysis, Earthquake and Tsunami Models, and Proxy Dataset
<p><strong>Globally, the most significant tsunamigenic earthquakes have occurred along subduction zones. Catastrophic events surpassing magnitude 9, such as those witnessed in Chile, Sumatra, and Japan, have occurred in regions where instrumental records of similar events are lacking. Despite the absence of such occurrences along the 1000-kilometer-long Mexican subduction zone, historical and geological evidence strongly suggests the likelihood of a magnitude 8.6 tsunamigenic earthquake. However, the Guerrero seismic gap has remained devoid of high-magnitude earthquakes for over a century. In this study, we present findings from analyses of sediment grain size, geochemistry, microfossils, magnetic properties, and radiometric and optically stimulated luminescence dating conducted along the Guerrero coast. Our research provides compelling evidence of a 2000-year history of significant tsunamis triggered by potentially large earthquakes. Numerical modeling reinforces our conclusions, pointing to a magnitude >8 event occurring around the year 1300 in the Guerrero seismic gap. This evidence underscores the critical importance of evaluating earthquake and tsunami potential through long-term evidence and instrumental observations along subduction zones globally. Additionally, this dataset includes the locations of study sites, proxy data, and earthquake and tsunami models.</strong></p> <p><strong>Source data:</strong></p> <ol> <li>Grain size - Figure S1</li> <li>Geochemical - Figure S2</li> <li>Maximum tsunami wave amplitude - Figure 3d and S4</li> <li>Maximum tsunami wave amplitude - Figure S5c</li> </ol> <p> </p>
Seismic identification method for weathering crust reservoirs in granite buried hills—a case study of buried hills around the Baiyun sag, South China
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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"
<p>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. </p><p>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. </p><p>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).</p>
Monitoring of Seismic Geodynamics of the Earth's Crust of Central Armenia_DATASET
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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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Microstructural and seismic characteristics of oriented mantle xenoliths from Damaping area, and their geodynamic implications of North China Craton destruction
<p>The uploaded files are original EBSD data of Damaping mantle xenoliths.</p>
A physical model for mean river discharge calculation: from riverside seismic monitoring experiments in a low-flow river, China
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Data from: A national VS30 model for South Korea to combine nationwide dense borehole measurements with ambient seismic noise analysis
<p>The average shear-wave velocity within the top 30 m from the surface, V<sub>S30</sub>, 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 V<sub>S30</sub> 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 V<sub>S30</sub> 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 V<sub>S30</sub> model for South Korea is determined using the calibrated SPT N models at the nationwide boreholes. The V<sub>S30</sub> 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 V<sub>S30</sub> structure presents high correlation with geological and topographic features. The V<sub>S30</sub> values are low in coastal (low topographic) areas, and high in mountain (high topographic) areas. Apparent linear relationship is observed between V<sub>S30</sub> and topography. The western and southeastern coastal regions may be vulnerable to strong seismic shaking.</p>
Competing controls of fluid overpressurization and chloritization on strength and instability of faults in granite: Implications for seismicity triggered by fluid-injection
<p>Fluids injection for hydraulic stimulation and fracturing, typical in the development of enhanced geothermal systems (EGS) in granites, can reactivate deep faults and induce seismicity. Such faults typically contain chlorite coatings as an alteration product that may impact styles of deformation – aseismic through seismic. We performed shear experiments on simulated granite fault gouges under conditions typifying a geothermal reservoir at ~4 km depth with a confining pressure of 110 MPa, a temperature of 150℃, fluid pressures of 21-80 MPa, and chlorite contents of 0-100%, to investigate the influence of effective stress and mineral composition on fault strength and stability. Our results show a transition from velocity-strengthening to velocity-weakening behavior in simulated granite gouge when the fluid pressure was elevated from 21 to 80 MPa, characterized by a transition from fault compaction to dilation – as revealed by microstructural observations – with implications in enabling unstable failure. Conversely, increasing chlorite content stabilizes slip but reduces frictional strength. The microstructures of these mixed gouges exhibit shear localized on chlorite-enriched planes and promoting fault sliding. These results suggest that earthquake ruptures occurring during fluid injection can be facilitated by fluid overpressures. And that controlling fluid overpressures and being aware of the presence of alteration minerals are both important controls in mitigating such injection-induced seismic risks.</p>
method of homogeneous microzones in seismic perspective (MOPS) with geological-technical sections of reference for the subsoil model.
<p>Method of homogeneous microzones in seismic perspective (MOPS) with geological-technical sections of reference for the subsoil model.</p>
The effects of methane clathrates on the thermal and seismic profile of Titan's icy lithosphere
<p>Dataset and codes used in the publication of the same name. Two main folders include the data for the pure water ice model and a model with a 10 km clathrate lid. Within the main folders are SAC_files containing the synthetic seismograms and the Mineos surface wave dispersion data. The sac files are named by distance and component (vertical Z, East E or North N). </p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.