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246 results for “MW”
Dataset for the paper "Wedge Plasticity and a Minimalist Dynamic Rupture Model for the 2011 Mw 9.1 Tohoku-Oki Earthquake and Tsunami" in Tectonophysics
<p>This dataset contains the Fortran source codes and input files to reproduce the results in the paper "Wedge Plasticity and a Minimalist Dynamic Rupture Model for the 2011 Mw 9.1 Tohoku-Oki Earthquake and Tsunami". Sample Matlab scripts are included to visualize the results. Model results, such as final fault slip, rupture times, stress changes on fault, final surface displacements, and moment density tensors in the wedge associated with inelastic deformation, are also included as ascii files. See readme for more details.</p>
InSAR coseismic deformation for the 8 September 2023, Mw 6.8, Morocco earthquake
<p>This dataset includes coseismic InSAR deformation for the 2023 Mw 6.8 Morocco earthquake.</p>
Empirical relation among earthquake magnitude (Mw) and deformed area as imaged by InSAR
<p><span>This document presents a dataset of 96 earthquakes with available information on moment magnitude and the dimension of the deformed area, as imaged by InSAR. </span></p>
Scripts to reproduce the results of "Did the short-term precursory accelerating phase precede the 2023 Mw 7.8 Kahramanmaraş earthquake?"
<p>This repository contains the scripts to reproduce the results of Guo and Wang.</p> <p>Directories had to be zipped to be downloaded. Please start by unzipping them.</p> <p>If you wish to run the scripts and reproduce the results, you will first download the PRIDE PPP-AR software (https://github.com/PrideLab/PRIDE-PPPAR) to process RINEX observation files.</p> <p>1. Data</p> <p>The data files obtained using single-day data processing and continuous processing strategies are converted into the same format as the data files used in the Bletery program.</p> <p> 1.1 TSfile(gapdata)_singleday: Data concatenation files obtained using the single-day processing strategy.</p> <p> 1.2 TSfile(gapdata)_continueday: Data concatenation files obtained using the continuous processing strategy.</p> <p> 1.3 TSfile(fulldata)_singleday: Missing values are interpolated by averaging the preceding and following data points for TSfile(gapdata)_singleday.</p> <p> 1.4 TSfile(fulldata)_continueday: Missing values are interpolated by averaging the preceding and following data points for TSfile(gapdata)_continueday.</p> <p> 1.5 station_single_200km: On the basis of interpolation, the influence of common mode error (CME) is removed for TSfile(fulldata)_singleday.</p> <p> 1.6 station_continue_200km: On the basis of interpolation, the influence of CME is removed for TSfile(fulldata)_continueday.</p> <p>2. different location of hypocenter</p> <p>Investigating the impact of different source locations on the stacking results.</p> <p> 2.1 The folders 1-55 contain results from different source locations, including time series and computed dot product stack.</p> <p> 2.2 cal_stack2h.m is a MATLAB script used to compute the normalized stacking of the average values of the time series during the two-hour period prior to the earthquake. </p> <p> 2.3 LB.txt is the file that contains the hypocenter locations used for testing purposes.</p> <p>3. different-distance</p> <p>The different-distance folder contains data used to assess the effect of CME on the results at various distances from the hypocenter.</p> <p> 3.1 serlect.bat is a batch file used to compute and extract stations within specified epicentral distance ranges.</p> <p> 3.2 The station_single_x00km folder contains the results of calculations after removing the CME at various distances.</p> <p>4. Uniqueness_signals</p> <p>The Uniqueness_signals folder contains data utilized to assess whether the observed signals are attributable to noise.</p> <p>You need to change the absolute paths of all matlab files to your own!</p>
Fault geometry of the 2016 Mw 7.8 Kaikoura earthquake, New Zealand
<p>Citation:</p> <p>Xu, W., Feng, G., Meng, L., Zhang, A., Ampuero, J. P., Bürgmann, R., & Fang, L. (2018). Transpressional rupture cascade of the 2016 Mw 7.8 Kaikoura earthquake, New Zealand. Journal of Geophysical Research: Solid Earth, 123, 2396–2409. https://doi.org/10.1002/2017JB015168</p>
Dataset for the "Widespread Aseismic Slip Along the Makran Megathrust Triggered by the 2013 Mw 7.7 Balochistan Earthquake" paper
<p>This dataset is used for the Widespread Aseismic Slip Along the Makran Megathrust Triggered by the 2013 Mw 7.7 Balochistan Earthquake paper. Containing the ascending and descending InSAR results processing by MintPy, and the processed observation and input files for BEAT.</p>
InSAR coseismic and postseismic deformation for the 2018 Mw 7.5 PNG earthquake
<p>This dataset includes coseismic and postseismic InSAR deformation for the 2018 Mw 7.5 PNG earthquake.</p>
Rapid remeasure of dense civilian networks from the Mw 6.4 2020 Petrinja earthquake, Croatia
<p>The directory GNSS_DATA_Petrinja.zip provides GNSS data used in Henriquet et al., (2023). The data set contains :</p> <p>Data Set S1. Coseismic offsets calculated based on daily continuous time series either from day to day or on 10-day averages differences between before and after the main shock. (file bilansautscgps.ods, sheet 1)</p> <p>Data Set S2. Coseismic offsets calculated from kinematic 30s time-series based on different time-spans taken before and after the main shock. (file bilansautscgps.ods, sheet 2)</p> <p>Data Set S3. Raw displacements (before correction for interseismic motion) ob- served over benchmarks in the near field of the fault, part of civilian networks (file cadastralallmeforme.ods). Note that the positions are expressed in the HTRS96/TM Croatian reference frame.</p> <p> </p>
Supplementary material 1 from: Visagie CM, Yilmaz N, Renaud JB, Sumarah MW, Hubka V, Frisvad JC, Chen AJ, Meijer M, Seifert KA (2017) A survey of xerophilic Aspergillus from indoor environment, including descriptions of two new section Aspergillus species producing eurotium-like sexual states. MycoKeys 19: 1-30. https://doi.org/10.3897/mycokeys.19.11161
Species isolated from house dust using selective xerophilic media : Explanation note: Species isolated from house dust using selective xerophilic media, their occurrence and GenBank numbers for sequences generated for these strains.
Supplementary material 1 from: El-Barougy RF, Cadotte MW, Khedr A-HA, Nada RM, Maclvor SJ (2017) Heterogeneity in patterns of survival of the invasive species Ipomoea carnea in urban habitats along the Egyptian Nile Delta. NeoBiota 33: 1-17. https://doi.org/10.3897/neobiota.33.9968
Table 1S. Comparison of stratified multivariable generalized linear models : Explanation note: Comparison of stratified multivariable generalized linear models that model the relationship between survival probability and different variables. The best model, selected by AIC, p-value of chi square, deviance explained (DE) and (AW). AW is the Akaikes weight which is the probability of the model being the best model explaining the relationship between survival probability and different variables. DE is the percentage of deviance explained (DE) as a measure of the model's goodness-of-fit.
Surface displacement measurements and fault slip models for the 1997 Mw 7.2 Zirkuh earthquake
<p><strong>Source models of the 1997 Mw 7.2 Zirkuh earthquake inferred from InSAR and optical correlation displacement field </strong></p> <p><strong>Introduction</strong></p> <p>We provide the InSAR and optical correlation displacement fields of the 1997 Mw 7.2 Zirkuh earthquake (NE Iran).<br> The InSAR data have been processed by Sudhaus and Jonsson (2011) and the optical correlation data by Marchandon et al. (2017). <br> We also provide the different fault slip models for the earthquake inferred from these data and published in Marchandon et al. (2017). <br> Finally, we include the source code of the genetic algorithm used in Marchandon et al. (2017) to infer the uniform slip models of the Zirkuh earthquake.<br> This genetic algorithm (Sudhaus and Jonsson, 2011) allows estimating the geometry and a uniform slip value for each segment of the fault. The Abiz fault, that broke during the Zirkuh earthquake, <br> is a complex structure with many fault strike variations that requires 16 segments to be properly modelled. Thus, a penalty function is implemented to constrain the algorithm to sample models<br> with limited dip angle fluctuations between neighboring segments (Sudhaus and Jonsson, 2011). The rupture is modelled as a dislocation embedded in an elastic half-space (Okada, 1992). </p> <p>For further information about the data, the method and the model results, see Marchandon et al. (2017). </p> <p><strong>Content</strong></p> <p>Data: InSAR data, optical Correlation data, weighting matrix files in .mat format, matlab script to plot the data. <br> Fault: Abiz fault segment locations file in .mat format and matlab script to plot the fault.<br> Scripts: All scripts needed to run the Non-linear optimization.<br> Models: Fault slip models for the Zirkuh earthquake and matlab script to plot them. </p> <p><strong>References</strong></p> <p>Sudhaus, H., and S. Jonsson (2011), Source model for the 1997 Zirkuh earthquake (Mw=7.2) in Iran derived from JERS and ERS InSAR observations, Geophysical Journal International, <br> 185(2), 676–692, doi:10.1111/j.1365-246X.2011.04973.x.</p> <p>Marchandon, M., Vergnolle M., Sudhaus, H., and Cavalié., O., (2017) Fault geometry and slip distribution at depth of the 1997 Mw 7.2 Zirkuh earthquake: <br> contribution of near-field displacement data, accepted with minor revisions at Journal of Geophysical Research: Solid Earth. </p> <p>Okada, Y. (1992), Internal deformation due to shear and tensite faults in a half-space, Bulletin of Seismological Society of America, pp. 1018–1040.</p> <p> </p>
Dataset for the 2019 Weiyuan Mw 5.0 earthquake
<p>The earthquake catalog and materials necessary to reproduce the catalog</p>
The benchmark test suites of the FJSP-MW (MATLAB version)
<p>Two benchmark test suites are provided in this file.</p> <p>LLG-A1--LLGA20 (the multitasking level is less than 3)<br>LLG-B1--LLGB20 (the multitasking level is less than 5)</p> <p><br>------------------------------------------------------</p> <p>The meaning of the main variables:<br>1. dt: The delivery time of each job<br>2. Jm: The eligible machine set of each operation.<br>3. JmNumber: The total number of the machines<br>4. Jw: The eligible worker set of each operation.<br>5. multitask: The multitasking level of each worker (The multitasking level of the worker is 3 indicates that this worker can process three operations at the same time).<br>6. pjob: The priority of each job.<br>7. rt: The release time of each job.<br>8. T: The processing time of each operation.</p>
Source Parameters and Ground Motion Simulation of the 2023 MW 5.5 Pingyuan Earthquake in the North China Plain
<p>Broadband seismic waveform data used for determining the focal mechanism and depth of the 2023 <em>M</em><sub>W</sub> 5.5 Pingyuan earthquake</p>
mW model for SPONGE and LAMMPS comparison
<p>This is the dataset to compare the mW model in SPONGE with that in LAMMPS</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>
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>
Supershear shock front contributions to the tsunami from the 2018 Mw 7.5 Palu earthquake
<p>Simulation data for the manuscript under review</p>
Supplementary material 1 from: Woch MW, Kapusta P, Stanek M, Możdżeń K, Grześ IM, Rożej-Pabijan E, Stefanowicz AM (2023) Effects of invasive Rosa rugosa on Baltic coastal dune communities depend on dune age. NeoBiota 82: 163-187. https://doi.org/10.3897/neobiota.82.97275
Detailed information and results of supplementary analyses on the structure of resident plant communities
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>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.