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781 results for “earthquakes”
Data records for PdpP phases observed from Fiji-Tonga earthquakes
<p>This data file presents the observations for 21 Fiji-Tonga earthquakes (events 1-21) with high-quality PdpP signals and 5 Fiji-Tonga earthquakes (events 33-37) without PdpP signals. It includes the vertical-component recordings in sub-arrays from China National seismic Network (CNSN) and the corresponding 4-th root vespagrams generated in each sub-array.</p>
Shaking Legitimacy: The Impact of Earthquakes on Conflict in Historical China
<p>Bai, Ying. 2022. Replication files for "Shaking Legitimacy: The Impact of Earthquakes on Conflict in Historical China". Economic Journal. Conditionally accepted.</p>
The relocated catalog of the 2022 Cianjur (West Java) earthquake
<p>The relocated catalog of the 2022 Cianjur (West Java) earthquake</p> <p>Please refer to:</p> <p>Supendi, P., Winder, T., Rawlinson, N., Bacon, C. A., Palgunadi, K. H., Simanjuntak, A., Kurniawan, A., Widiyantoro, S., Nugraha, A. D., Shiddiqi, H. A., Ardianto, Daryono, Adi, S. P., Karnawati, D., Priyobudi, Marliyani, G. I., Imran, I., and Jatnika, J. (2023). A conjugate fault revealed by the destructive Mw 5.6 (November 21, 2022) Cianjur earthquake, West Java, Indonesia, <em>Journal of Asian Earth Sciences</em>,<strong> </strong>257, 105830. https://doi.org/10.1016/j.jseaes.2023.105830</p>
Characteristically repeating earthquake catalog for Hayward and Rodgers Creek Faults
<p>Characteristically repeating earthquake catalog for Hayward and Rodgers Creek Faults</p>
7.8 Earthquake Damage Mapping in Turkey and Syria
<p>In the early hours of February 6th, 2023, a devastating earthquake of magnitude 7.8 in Gaziantep and magnitude 7.5 in Ekinözü struck Turkey and Syria, causing widespread loss of life and property. In the aftermath of the quake, more than 36,000 fatalities and numerous injuries were reported in one week. The unprecedented magnitude of the earthquake highlights the delicate nature of human life, yet it also underscores the resilience of the human spirit.</p> <p>To assist in the aftermath of this disaster, the present study aims to assess the damage caused by the earthquake through the analysis of Sentinel-1 satellite data. We adopt a combination of coherence and displacement parameters to create a damage map of the affected areas. First, we calculate the difference in coherence between pre- and post-earthquake images and retain only pixels with a coherence value higher than 0.25 and a negative change in coherence. The resulting change in coherence is expressed as a percentage (diff_coherence_percent) after converting it to a percentage by multiplying it by 100.</p> <p>Next, we enhance positive displacement values and take the absolute value of all displacement values, expressing the magnitude of displacement as a percentage (disp_percent) by dividing it by a threshold of 0.9 m and multiplying it by 100. Finally, we compute the damage percentage as the weighted average of both “diff_coherence_percent” and “disp_percent”, with equal weighting.</p> <p>The results of our study can provide valuable insights into the impact of the earthquake and help guide recovery efforts by providing a map of the damage caused by the quake. Advanced radar technology and satellite imagery highlight the importance of utilizing cutting-edge tools in studying natural disasters and their impacts on communities.</p>
Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure
<p>These datasets accompany the Zemuhe fault surface coordinates that were used for construction of the fault geometry model, the observational fault surface slip of the 1850 Xichang M 7.5 earthquake and the intensity distribution in Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure submitted to Earth and Space Science by Yu et al. (2023). The data is structured as follows:</p> <p>Once unzipped the data within the archive are six txt files: fault_surface_slip_Feng.txt, which is from Feng et al. (2000); fault_surface_slip_Ren.txt, which is from Ren and Lin (2010), fault_surface_slip_Yu.txt, which is from Yu et al., (2001); intensity.txt, which is from Feng et al. (2000); landslides.txt, which is from Guo et al. (2014) and Cao (2015); zemuhe_fault_surface_coordinates.txt, which is from Working group for geologic mapping on Zemuhe fault (2000). The file folder stress_configuration contains the initial stress setup for the model in Figure 5e.</p>
Data from: Role of backbone fault system on earthquake spawning and geohazards in the Seoul metropolitan area
<p class="MsoNormal"><span>Major earthquakes in continental regions may cause significant damages. Preexisting fault system across megacity receives high attention for possible seismic damages. Earthquake occurrence mechanism is important to assess the geohazard potentials. Continental-scale Quaternary fault system is developed across the Seoul metropolitan area where the population is the largest in the Korean Peninsula. Historical seismic-damage records suggest potential seismic hazards in the Seoul metropolitan area. We investigate the fault motions and spatial distribution of earthquakes in the Seoul metropolitan area using a matched-filter technique that is based on stacked waveform crosscorrelation functions among densely-deployed seismic stations. The analysis detects 1,103 earthquakes that include 360 events with magnitudes (M<sub>L</sub>) of -0.6 to 2.0 around the Chugaryeong fault and 34 events with magnitudes of -0.5 to 2.7 around Wangsukcheon, Pocheon, and Yeseonggang faults. The seismicity suggests a set of near-vertical subparallel (or orthogonal) faults that develop from the major faults. The Major fault system behaves as a backbone structure that makes branch faults develop, producing seismicity including major earthquakes. The backbone structure may control the fault development that conforms to the ambient stress field. The backbone faults may play a role in increasing geohazard potentials.</span></p>
From the perspective of One family, the Great East Japan Earthquake Story
<p>The Great East Japan Earthquake from a Survivor's Perspective by Misato Uehara<br> https://living-with-disaster-misato-uehara-s-school.teachable.com/p/home</p> <p>Narrative-Based Disaster Learning Programmes Simultaneously Improve People’s Disaster Awareness Scores, Willingness to Pay and Settlement Preferences<br> https://www.mdpi.com/1653564</p>
2011 Japan Earthquake Government Officials' Perspective Story
<p>Title: The Great East Japan Earthquake story told from the perspective of government officials<br> Narrative: Even though municipal officers were also victims, they had to accept residents’ criticism and resentment. In the chaos immediately following the disaster, they had difficulties summarising residents’ opinions.</p>
Transient deformation excited by the 2021 M7.4 Maduo (China) earthquake: Evidence of a deeper shear zone
<p>This file contains Sentinel-1 and ALOS-2 InSAR observations one year following the 2021 Maduo earthquake, and three-year GNSS observations from 2019 to 2022 that also spans the Maduo earthquake.</p>
The seismic data for the 2016 Menyuan earthquake
<p>The waveform data and strong motion data for the 2016 Mw5.9 Menyuan earthquake. The Waveform data are provided by Earthquake Science Data Center at the Institute of Geophysics, China Earthquake Administration. The strong motion data are provided by Institute of Engineering Mechanics, China Earthquake Administration. The continuous waveform data can be requested with a preauthorized account from the Data Management Center of China Seismic Network. The strong motion data can be requested with a preauthorized account from the Institute of Engineering Mechanics, China Earthquake Administration. If you use this data for research, please re-apply to these institutions.</p>
LOTOS code inputs for local earthquake tomography of the Irazú-Turrialba volcanic complex, Costa Rica
<p>Local earthquake seismic tomography model for Jiwani-Brown, E., Koulakov, I., Muñoz-Burbano, F., Pacheco, J., Mora, M., & Lupi, M. (2023). Comparing local and ambient seismic tomographic methods to infer the plumbing system of the Irazú-Turrialba volcanic complex, Costa Rica. </p> <p>The tomography model presented in the paper are obtained using the LOTOS code by Koulakov (2009). Input files for running of LOTOS code adapted for Windows OS. More details on the LOTOS code can be found at<a href="http://www.ivan-art.com/science/LOTOS">www.ivan-art.com/science/LOTOS</a></p>
How does thermal pressurization of pore fluids affect 3D strike-slip earthquake dynamics and ground motions?
<p>BSSA-TP-31Mar2023-zenodo.tar.gz has all the input files required to simulate forty-nine dynamic rupture models. Note that "SeisSol_release_generatedKernels_dhsw_hybrid_none_9_5" and "TP-3D-final_withXML" are SeisSol executable (compiled on Shaheen II at KAUST) and mesh files respectively. Every simulation folder should have empty "logs" and "output" folders where simulation outputs will be stored.</p>
A dataset of earthquake hazard information for Chinese mainland from 1949 to 2021
<p>The attributes of earthquakes in the dataset include: date of occurrence, epicenter latitude and longitude, magnitude, intensity, focal depth, number of casualties&injured and economic loss.</p>
Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure
<p>These datasets accompany the Zemuhe fault surface coordinates that were used for construction of the fault geometry model, the observational fault surface slip of the 1850 Xichang M 7.5 earthquake and the intensity distribution in Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure submitted to Earth and Space Science by Yu et al. (2023). The data is structured as follows:</p> <p>Once unzipped the data within the archive are six txt files: fault_surface_slip_Feng.txt, which is from Feng et al. (2000); fault_surface_slip_Ren.txt, which is from Ren and Lin (2010), fault_surface_slip_Yu.txt, which is from Yu et al., (2001); intensity.txt, which is from Feng et al. (2000); landslides.txt, which is from Guo et al. (2014) and Cao (2015); zemuhe_fault_surface_coordinates.txt, which is from Working group for geologic mapping on Zemuhe fault (2000). The file folder stress_configuration contains the initial stress setup for the model in Figure 5c.</p>
Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure
<p>These datasets accompany the Zemuhe fault surface coordinates that were used for construction of the fault geometry model, the observational fault surface slip of the 1850 Xichang M 7.5 earthquake and the intensity distribution in Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure submitted to Earth and Space Science by Yu et al. (2023). The data is structured as follows:</p> <p>Once unzipped the data within the archive are six txt files: fault_surface_slip_Feng.txt, which is from Feng et al. (2000); fault_surface_slip_Ren.txt, which is from Ren and Lin (2010), fault_surface_slip_Yu.txt, which is from Yu et al., (2001); intensity.txt, which is from Feng et al. (2000); landslides.txt, which is from Guo et al. (2014) and Cao (2015); zemuhe_fault_surface_coordinates.txt, which is from Working group for geologic mapping on Zemuhe fault (2000). The file folder stress_configuration contains the initial stress setup for the model in Figure 5c.</p>
Slip distribution of the February 6, 2023 Mw 7.8 and Mw 7.6, Kahramanmaras, Turkey earthquake sequence in the East Anatolian Fault Zone
<p>On February 6, 2023, two large earthquakes occurred near the Turkish town of Kahramanmaras. The moment magnitude (Mw) 7.8 mainshock ruptured a 310 km-long segment of the left-lateral East Anatolian Fault, propagating through multiple releasing step-overs. The Mw 7.6 aftershock involved nearby left-lateral strike-slip faults of the East Anatolian Fault Zone, causing a 150 km-long rupture. We use remote-sensing observations to constrain the spatial distribution of coseismic slip for these two events and the February 20 Mw 6.4 aftershock near Antakya. Pixel tracking of optical and synthetic aperture radar data of the Sentinel-2 and Sentinel-1 satellites, respectively, provide near-field surface displacements. High-rate Global Navigation Satellite System data constrain each event separately. Coseismic slip extends from the surface to about 15 km depth with a shallow slip deficit. For the mainshock, rupture propagation stopped southward at the diffuse termination of the East Anatolian fault and tapered off northward into the Pütürrge segment, some 20 km south of the 2020 Mw 6.8 Elazığ earthquake, highlighting a potential seismic gap. This repository contains the finite slip distribution of the February 6, 2023 Mw 7.8 Kahramanmaras mainshock and Mw 7.6 Elbinstan aftershock, as well as the slip distribution of the second largest aftershock, the February 20, 2023 Mw 6.4 Antakya earthquake. The repository also provides the slip distribution of the 2020 Mw 6.8 Elazığ earthquake. </p>
GNSS time series from "Subdaily slow fault slip dynamics captured by low-frequency earthquakes" (Mouchon et al., 2023)
<p>GNSS raw time series from "Subdaily slow fault slip dynamics captured by low-frequency earthquakes" (Mouchon et al., 2023)</p> <p>The raw GNSS time series are available for each three GNSS stations we focus on in this study (COYU, IGUA and MECZ), as well as the three distant stations use to correct from common mode (INEG, TAMP and UXAL), at both 24-hour and 6-hour sampling rates.<br> Each file contains the date, East, North and Vertical displacement and associated errors in meters (format: Decimal year, E (m), N (m), U (m), dE (m), dN (m), dU (m)).</p>
The 2021 Maduo earthquake data and model
<p>The processed radar data, the broadband recordings data, and the fault geometry and slip models</p>
The 2022 Har Lake earthquake sequence highlights a complex fault system in the west Qilian Shan, northeastern Tibetan Plateau
<p>The dataset includes the InSAR-derived LOS displacements related to the 2022 Har Lake earthquake sequence in Qinghai province, China. </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.