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781 results for “earthquakes”
The conjunction of climate warming and earthquake exacerbates the risk of river blockages by landslides in the Sedongpu Gully, Eastern Himalaya
<p>The datasets and results of <span>The conjunction of climate warming and earthquake exacerbates the risk of river blockages by landslides in the Sedongpu Gully, Eastern Himalaya, that has been submitted in Journal Geophysical Research Letters. </span></p>
Supplementary Movies for "The influence of ground shaking on the distribution and size of coseismic landslides from the Mw 7.6 2005 Kashmir earthquake"
<p>Supplementary movies of wavefield simulations for Dunham et al., 2024: <em>The influence of ground shaking on the distribution and size of coseismic landslides from the Mw 7.6 2005 Kashmir earthquake. </em></p> <p><strong>Captions:</strong></p> <p><strong>Movie S1:</strong> Movie of the vertical velocity wavefield from the low frequency source ORIG through time where red and blue are positive and negative velocity (positive = Up, negative = Down). Black star shows the location of the epicenter of the earthquake and the black line with red triangles shows the surface rupture.</p> <p><strong>Movie S2:</strong> Movie of the absolute value of the maximum horizontal velocity wavefield from the low frequency source ORIG through time. Black star shows the location of the epicenter of the earthquake and the black line with red triangles shows the surface rupture.</p> <p><strong>Movie S3:</strong> Movie of the vertical velocity wavefield from the high frequency source HF through time where red and blue are positive and negative velocity (positive = Up, negative = Down). Black star shows the location of the epicenter of the earthquake and the black line with red triangles shows the surface rupture.</p> <p><strong>Movie S4:</strong> Movie of the absolute value of the maximum horizontal velocity wavefield from the high frequency source HF through time. Black star shows the location of the epicenter of the earthquake and the black line with red triangles shows the surface rupture.</p>
The GPS time series of 2005 Kashmir earthquake
<p>These data includes the near-field GPS data provided by Jouanne et al. (2011), InSAR data provided by Wang & Fialko (2014), and the far-field GPS data processed in this work. Additionally, we have uploaded the coseismic rupture models from Avouac et al. (2006) and Yan et al. (2013). The far-field GPS data includes the original time series, the fitting interseismic velocities, and the fitting time series of interseismic and postseismic. These datasets are organized into corresponding folders, with filenames that clearly describe the contents of each file.</p>
Relocated Earthquake Catalog near the Hypocenter of the 2024 Mw7.5 Noto Peninsula, Japan, Earthquake (from March 2003 to March 2024)
<p>Relocated hypocenters of earthquakes near the Hypocenter of the 2024 Mw7.5 Noto Peninsula, Japan, earthquake from March 2003 to March 2024 are available here.</p> <p>The ASCII file "hypocenters.out" contains the relocated hypocenters of 31158 earthquakes. Columns 1–6 show the occurrence time (JST). $1: year, $2: month, $3: day, $4: hour, $5: minute, and $6: second. Columns 7, 8, and 9 show the locations. $7: longitude (degree), $8: latitude (degree), and $9: depth (km). Columns 10 and 11 show the magnitude and ID according to JMA, respectively. </p>
Supplementary videos for "Identification of continental mantle earthquakes using regional waves propagating into a thinned crust"
<p>These are supplementary videos S1 and S2 described in the supplementary materials to "Identification of continental mantle earthquakes using regional waves propagating into a thinned crust". </p>
Frequency-dependent groundwater response to earthquakes
<p>Water level, seismic wave, and rainfall data used in the study</p>
Crustal earthquakes location of Puyuhuapi Network
<p>This data are the locations of crustal earthquakes between August 2016 and May 2017, of a local network in the Andean Southern Volcanic zone, specifically in the 44°S, Puyuhuapi area. There are two type of earthquakes: (1) Class A events; event recorder in more than 6 station (of 13 possible stations), RMS less than 0.3 seconds (time root-mean-square error); and total location errors smaller than 3.5 km. This events were localize using HypoDD, and isolated event were localize with Hypocenter. (2) Class B events, events with at least 4 station recorder. This events where located with Hypocenter software. </p> <p>Both class of events have date, hour, minute, location, locations error, between others as is describe in the header.</p> <p>This is a contribution of FONDAP Project #15090013 (CEGA) a Chilean Scientific funding, and it was partially funding by the a Aysen Region of Chile local funding FIC “Estimación y valorización del potencial geotérmico de Aysén” BIP30346723-0 and the project “Factibilidad de cogeneración geotérmica en Puyuhuapi” BIP 40010311 .</p>
Synthetic catalog of seismicity and stressing rate history for "Scaling and variability of interacting repeating earthquake sequences controlled by asperity density"
<p>Sheets 1 to 14: Synthetic catalogs of seismicity listing (for each earthquake):</p> <ul> <li>non dimensional time (1st column)</li> <li>non dimensional seismic moment (2nd column)</li> <li>non dimensional equivalent source radius (3rd column)</li> <li>non dimensional position along strike x (4th column)</li> <li>non dimensional position along dip y (5th column)2</li> </ul> <p>Sheets 15 to 28: time series of the spatial average of:</p> <ul> <li>non dimensional slip (2nd column)</li> <li>non dimensional slip rate (3rd column) </li> <li>non dimensional shear stress (4th column)</li> </ul> <p>Time series corresponding to catalog in sheet i is provided in sheet i+14. See the reference paper for details about the non dimensionalization.</p>
waveform data of the Empirical Green's Functions (EGFs) and earthquakes for the manuscript "Unraveling the Mantle Dynamics in Central Asia with Full Waveform Inversion Tomography"
<p>The dataset uploaded contains the original ASDF files and the SAC files (with '_sac') converted from ASDF</p> <p>For the ASDF files:</p> <p>The ASDF data file could be read through python module pyasdf and obspy after decompressing. </p> <p>The earthquake information could be accessed by the following command</p> <p>import pyasdf</p> <p>ds=pyasdf.ASDFDataSet(ASDFfile, mode='r')</p> <p>event=ds.events[0].preferred_origin()</p> <p>print(event)</p> <p>the waveforms coul dbe accessed through</p> <p>stream=ds.waveforms[net.station].raw_recording</p>
Algorithmic identification of the precursory scale increase phenomenon in earthquake catalogues
<p>This repository includes the code and data used in the paper " Algorithmic identification of the precursory scale increase (PSI) phenomenon in earthquake catalogues". There are four folders, two for the data, and one each for the "Circular algorithm" and for the "Rectangular algorithm", respectively. Each folder has a Readme.txt file explaining its content.</p>
Data for "Far-field Co-seismic Disturbances in Lithosphere, Atmosphere, and Ionosphere of Mw 7.4 Hualian Earthquake in 2024"
<p>Data for "Far-field Co-seismic Disturbances in Lithosphere, Atmosphere, and Ionosphere of Mw 7.4 Hualian Earthquake in 2024"</p> <p>1. MVP_LAI_data.mat: data from MVP-LAI system; time duration: 200 before to 1800s after the time of the earthquake </p> <p>format: [TEC, Doppler shift, Geomagnetic X component, Geomagnetic Y component, Geomagnetic Z component]</p> <p>2. mag_data.m: data from 16 permanent geomagntic stations; time duration: 00:00 UT on 3, Apri, 2025 to 1800s after the time of the earthquake </p> <p>format: [Geomagnetic X component, Geomagnetic Y component, Geomagnetic Z component, the longitude and latitude of stations],</p> <p>Lines 1-16 indicate an increasing order of epicentral distance</p> <p>3. tec_data.m: tec data from 20 ionospheric piercing points; time duration: 00:00 UT on 3, Apri, 2025 to 1800s after the time of the earthquake </p> <p>format: tec, the longitude and latitude of stations</p> <p>Lines 1-20 indicate an increasing order of epicentral distance<br> </p>
Earthquake data in the East Anatolian fault
<p>This earthquake data in the East Anatolian Fault was published by previous documents and was used in my paper submitted. </p>
The reservoir-induced 2023 Heyuan, earthquake sequence in Guangdong, China and its geodynamic implications
Open the record for dataset details and reuse information.
Supplementary data for the article: "Towards an widely applicable earthquake detection algorithm for fibreoptic and hybrid fibreoptic-seismometer networks"
<p>Repository of supporting data associated with the article submitted to GJI, titled: "Towards an widely applicable earthquake detection algorithm for fibreoptic and hybrid fibreoptic-seismometer networks".</p> <p> </p> <p>Contents include:</p> <ol> <li>A full working example of modified QuakeMigrate version and seismic time-series data used to detect an earthquake.</li> <li>Earthquake catalogues for the three datasets described in the publication.</li> </ol>
Damage to RC Structures and Intensity Measures from the 2023 Türkiye Earthquake
<p>This database is associated with the following paper:</p> <p><strong>Hariri-Ardebili, M.A., and Sattar, S. (2024).</strong> <em>Data-Driven Insights into Post-Earthquake Reconnaissance Findings: 2023 Türkiye Earthquake Sequence</em>, Earthquake Spectra.</p> <p>The database contains information on over 240 reinforced concrete structures surveyed after the 2023 Türkiye earthquake sequence. The data is divided into two main categories: (1) building-related information and observed damage, and (2) various ground motion intensity measures from different shocks and aftershocks, calculated using either the Kriging method or the USGS ShakeMap.</p> <p>Part (1) of the database was primarily developed as part of the ACI Committee 133 initiative and was also presented in the following paper. However, several missing data points were supplemented by the developers of this new database based on further investigation of the individual buildings and engineering judgment:</p> <p><strong>Pujol et al. (2024).</strong> <em>Quantitative Evaluation of the Damage to RC Buildings Caused by the 2023 Southeast Turkey Earthquake Sequence</em>, Earthquake Spectra.</p>
High-Resolution P-Wave Tomography of the 1999 Izmit and Duzce Earthquake Rupture Zone
<p>hypo.gmtInitial-Initial hypocenter location displayed in the manuscript (Lat,Lon,Depth)</p> <p>hypo.gmtFinal-Final hypocenter location displayed in the manuscript Lat,Lon,Depth)</p> <p>VpPerc.out - Vp variation in percentange relative to the Initial 1D model (Lat,Lon, Depth, %Vp) </p> <p>VpAbsolute.out - Absolute Vp velocities (Lat,Lon, Depth, Vp) </p> <p> </p>
Disturbance on the Groundwater Recharge from Precipitation by a Near Earthquake
<p>该数据是手稿《近震降水对地下水补给的扰动》中的水位和降水的原始数据。</p>
The earthquake catalog in the Changning shale gas field based on dense array
Open the record for dataset details and reuse information.
The Size Distributions of Fractures and Earthquakes: Implications for Orogen-Internal Seismogenic Deformation
Open the record for dataset details and reuse information.
The Petrinja 2020 earthquake sequence - Croatian Seismological Network
<p>The data set contains waveforms of the 2020 MW6.4 Petrinja earthquake mainshock and six additional M>4 earthquakes from the same earthquake sequence, recorded on the Croatian Seismological Network. The operation of the VINV, STON, RUJC, RABC, NVLJ, and CERK seismic stations are/were part of the semi-permanent seismic network operated by the Department of Geophysics at the Faculty of Science of the University of Zagreb that is/was financially supported by various seismological projects.</p>
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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)
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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.