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781 results for “earthquakes”
CDDIS MEaSUREs SESES products High-rate Earthquake Displacement
Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These products consist of high-rate displacements at a rate of 1 sample per second or greater. They are used to measure the ground motions when an earthquake occurs.
Global Earthquake Hazard Frequency and Distribution
The Global Earthquake Hazard Frequency and Distribution is a 2.5 minute grid utilizing Advanced National Seismic System (ANSS) Earthquake Catalog data of actual earthquake events exceeding 4.5 on the Richter scale during the time period 1976 through 2002. To produce the final output, the frequency of an earthquake hazard is calculated for each grid cell, and the resulting grid cells are then classified into deciles (10 classes consisting of an approxiamately equal number of grid cells). The greater the grid cell value in the final output, the higher the relative frequency of hazard posed by earthquakes. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR) and Columbia University Center for International Earth Science Information Network (CIESIN).
Global Earthquake Proportional Economic Loss Risk Deciles
The Global Earthquake Proportional Economic Loss Risk Deciles is a 2.5 minute grid of earthquake hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical Unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).
Global Earthquake Hazard Distribution - Peak Ground Acceleration
The Global Earthquake Hazard Distribution - Peak Ground Acceleration is a 2.5 minute grid of global earthquake hazards developed using Global Seismic Hazard Program (GSHAP) data that incorporate expert opinion in predicting localities where there exists a 10 percent chance of exceeding a peak ground acceleration (pga) of 2 meters per second per second (approximately one-fifth of surface gravitational acceleration) in a 50 year time span. For the purpose of identifying hazard hotspots, values of 2 meters per second per second and less were excluded from analysis. The resulting ranges of pga values were classified into deciles, 10 classes of approximately an equal number of grid cells. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR) and Columbia University Center for International Earth Science Information Network (CIESIN).
Global Earthquake Total Economic Loss Risk Deciles
The Global Earthquake Total Economic Loss Risk Deciles is a 2.5 minute grid of global earthquake total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational Units to their respective national GDP are determined using sources of various origin. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational Unit. Once the national GDP has been spatially stratified into the smallest administrative Units available, GDP values for grid cells are derived using Gridded Population of the World, Version 3 (GPWv3) data population distributions. A per capita contribution value is determined within each subnational Unit, and then this value is multiplied by the population per grid cell. Once a GDP value has been determined on a per grid cell basis, then the regionally variable loss rate as derived from the historical records of EM-DAT is used to determine the total economic loss risks posed to a grid cell by earthquake hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).
Global Earthquake Mortality Risks and Distribution
The Global Earthquake Mortality Risks and Distribution is a 2.5 minute grid of global earthquake mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provides a baseline estimate of population per grid cell from which to estimate potential mortality risks due to earthquake hazard. Mortality loss estimates per hazard event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the distribution of earthquake hazard are obtained from the Global Earthquake Hazard Distribution-peak ground acceleration data set. In order to more accurately reflect the confidence associated with the data and procedures, the potential mortality estimate range is classified into deciles, 10 classes of increasing risk with an approximately equal number of grid cells per class, producing a relative estimate of earthquake-based mortality risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).
Earthquake Data around the Palu-Koro fault
<p>This earthquake data is used in my paper about stress on the Palu-Koro fault.</p>
Earthquakes and very deep groundwater perturbation mutually induced
<p>1. Seismicity, mud loss, water level, and earth tide data</p> <p>2. Water chemistry data</p> <p>3. Microbial data</p>
Data for: Injected Fluids Both Trigger and Facilitate a Cascade of Larger Earthquake Ruptures
Open the record for dataset details and reuse information.
CSRM Level 2 dataset: long-period Rayleigh wave ellipticity in continental China from earthquake data
<p>This dataset contains the long-period Rayleigh wave ellipticity (20 - 80 s in period) measured from three-component Rayleigh wave waveforms of <strong>9361</strong> tele-seismic events recorded by <strong>4193</strong> seismic stations deployed in continental China during 1990 and 2020. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (<strong>CSRM-1.0</strong>) in the top 100 km of the crust and uppermost mantle in continental China (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) (<a href="https://doi.org/10.5281/zenodo.11098135">model link</a>). </p> <p>本数据库包含了利用 1990 至 2020 年间中国大陆区域 <strong>4193</strong> 个地震台站记录的 <strong>9361</strong> 个远震瑞利波波形测量得到的长周期瑞利波偏振( 周期 20 - 80 s )。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部100 公里三维地震学模型(CSRM-1.0)的工作 (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) (<a href="https://doi.org/10.5281/zenodo.11098135">模型链接</a>) 。</p> <p>If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (<strong>xiaox.seis@gmail.com</strong>). </p>
CSRM Level 2 dataset: event-station Rayleigh wave phase and group velocity dispersion curves in continental China from regional earthquake data
<p>This dataset contains the <strong>54,792</strong> event-station Rayleigh wave phase and group velocity dispersion curves from vertical-component waveforms of <strong>226 </strong>regional earthquakes recorded by <strong>1463</strong> seismic stations. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (<strong>CSRM-1.0</strong>) in the top 100 km of the crust and uppermost mantle in continental China (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) (<a href="https://doi.org/10.5281/zenodo.11098135">model link</a>). </p> <p>本数据库包含了利用中国大陆区域 <strong>1463</strong> 个地震台站记录的 <strong>226</strong> 个区域地震的波形数据计算的 <strong>54,792 </strong>条事件-台站间瑞利波相/群速度频散曲线。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部 100 公里三维地震学模型(<strong>CSRM-1.0</strong>)的工作 (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) (<a href="https://doi.org/10.5281/zenodo.11098135">模型链接</a>) 。</p> <p>If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (<strong>xiaox.seis@gmail.com</strong>). </p>
Turkish Homogenized Earthquake Catalogue (TURHEC)
<p>TURHEC is the new homogenized earthquake catalogue for Turkey for the period 1900 – Oct. 2018. Approximately 378 000 events in the study area bounded by 35-44 N and 25-46 E are compiled. The equivalent moment magnitude (Mw<sup>∗</sup>), which is the mandatory parameter for the seismic hazard studies, is calculated for all events.</p> <p>Visit <a href="https://sites.google.com/site/xonurtan/turhec">https://sites.google.com/site/xonurtan/turhec</a> for more information and data.</p> <p> </p> <p> </p>
The Effect of Laughter Yoga on Hope and Well-Being Levels of Earthquake Victim Mothers
ClinicalTrials.gov study NCT06757036. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Emotional Freedom Techniques (EFT) on Stress, Anxiety and Depression in University Students Experiencing Earthquakes
ClinicalTrials.gov study NCT06302036. IPD Sharing: Not stated. Countries: 0. Publications: 0.
The Effect of Self-Management Support Provided to Hypertension Patients Affected by the Earthquake Via Tele-Nursing on Patients' Treatment Compliance and Self-Care Management
ClinicalTrials.gov study NCT06350136. IPD Sharing: NO. Countries: 0. Publications: 0.
Mobile and Web-Based Healing Program on University Students Affected by Earthquakes
ClinicalTrials.gov study NCT06439030. IPD Sharing: NO. Countries: 0. Publications: 0.
Ultrasound-guidance for Intraosseous Access During Earthquake
ClinicalTrials.gov study NCT03491787. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Companion dataset for "On the North-South Asymmetry of Co-seismic Ionospheric Disturbances During the 16 September 2015 Illapel M8.3 Earthquake"
The dataset contains outputs from WP-GITM runs and the processed GPS TEC data for the co-seismic ionospheric disturbances during the 16 September 2015 Illapel M8.3 Earthquake. A README file is provided in the dataset.
CDDIS SESES MEaSUREs products seismodetic for M>6 earthquakes
Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products are high-rate seismogeodetic displacement and velocity records for historical earthquakes (M>6); broadband displacement and seismic velocity time series combining 1 Hz GPS displacements and 100 Hz accelerometer data for select large earthquakes and collocated CGPS and seismic instruments from regional networks.
PyCOMPSs Probabilistic Tsunami Forecast (PTF) - Boumerdes-2003 earthquake and tsunami test-case results
Open the record for dataset details and reuse information.
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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)
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.