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Dataset results
662 results for “seismicity”
Strength and seismic anisotropy of textured FeSi at planetary core conditions
<p>Data of the radial diffraction experiment at 300 K and 1100 K</p>
Dataset in "Continent-continent Collision between the South and North China Plates Revealed by Seismic Refraction and Reflection at the Southern Segment of the Tanlu Fault Zone""
<p>This dataset contains:</p> <p> Field-data FWI Results<br> Deep Seismic Profiling Result<br> Post-stack Depth Migration<br> Source Signature<br> Misfit Reduction</p> <p>Descriptions:<br> 1. the unit of distance or depth is meter;<br> 2. the unit of time is ms;<br> 3. all the *.dat files are saved as plain text files;<br> 4. all the *.m files are the Matlab scripts for loading and plotting the data.</p>
raw seismic waveform and rfs
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Seismic datas generated while excavation of coal mine roadway
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Seismic reflection data of the Ganyanchi baisn, Haiyuan fault, NE Tibetan Plateau
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Marine multichannel seismic data collected during RV METEOR expedition M113 (University of Hamburg)
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Models from "Applying Machine Learning to Characterize and Extrapolate the Relationship Between Seismic Structure and Surface Heat Flow"
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Dataset accompanying: "Applying and Validating Coulomb Rate-and-State Seismicity Models in Acoustic Emission Experiments")
<p>Dataset accompanying: "Applying and Validating Coulomb Rate-and-State Seismicity Models in Acoustic Emission Experiments" by Heimisson, Naderloon, Chandra and Barnhoorn.</p> <p>Please reference the following publication if the data is used:<br><br>Heimisson, E.R., Naderloo, M., Chandra, D. and Barnhoorn, A., 2024. Applying and validating Coulomb rate-and-state seismicity models in acoustic emission experiments. <em>Tectonophysics</em>, p.230574. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.tecto.2024.230574" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.tecto.2024.230574 </span></span></a></p>
Relative seismic-velocity perturbations from the Alto Tiberina Fault area (Central Italy)
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Experimental dataset for "Stress path dependence of time-lapse seismic effects ..." paper draft
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InSight denoised seismic event waveforms
<p>Denoised seismic event waveforms (20 sps): seismic data recorded by NASA InSight mission on Mars and processed as described with its advantages and limitations in: </p> <p>Dahmen, N., Clinton, J., Stähler, S., Meier, M.-A., Ceylan, S., Euchner, F., Kim, D. , Horleston, A, Durán, C.,Zenhäusern, G., Charalambous, C., Kawamura, T. and Giardini, D. (2024). <em>Revisiting Martian Seismicity with Deep Learning-Based Denoising. </em>Submitted to Geophysical Journal International.</p> <p>Velocity waveforms are in physical units, rotated to ZNE components with ID: XB.ELYDL.03.BHZ/N/E; based on original waveforms XB.ELYSE.02.BHZ/N/E</p> <p>MSEED fiiles for all event waveforms from the low frequency event family (based on revised version of Marsquake Service catalogue Version 14: https://doi.org/10.12686/a21) whenever 20 sps data are available.</p> <p>Read with ObsPy, e.g.: obspy.read('.../S0173a')</p>
Seismic velocity models related to the manuscript entitled "Paleo-ocean and Early Evolution of Mars Revealed by Seismic Crustal Stratigraphy"
<p>Seismic velocity models of the Martian crust.</p>
D-SET: Probing the evolution of fault properties during the seismic cycle with Deep Learning
<p>This dataset has been developed to analyze fault zone properties affected by the Norcia mainshock on October 30, 2016. It comprises waveform data from nine seismic stations surrounding the rupture site of the Vettore fault segment. Waveforms were selectively gathered from within a 3 km band perpendicular to the fault, exclusively including seismic events deeper than 2 km to minimize anthropogenic sources and surface-based seismic noise. The dataset is balanced to diminish the influence of Amatrice aftershocks, extending asymmetrically 15 km northeast and 4 km southwest of the Norcia epicenter, and only includes events with magnitudes greater than Mw 0.5 to ensure data quality.</p>
Microseismic activity and subsurface structure characteristic of the Laohutai coal mine in Northeast China based on a linear dense seismic array
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Lithospheric structure of the southern Amazonian Craton from multiple-frequency seismic tomography: Preliminary insights on tectonic and metallogenic implications
<p>Multiple-frequency tomographic model database for the Amazonian craton published in the Journal of South American Earth Sciences (https://doi.org/10.1016/j.jsames.2020.102608)</p>
Seismic Deformation of Himalayan Glaciers Using Synthetic Aperture Radar Interferometry, Supplementary Material
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The Magnetotelluric data, 3D resistivity model, and the reprocessed Seismic data for Timmins, Canada
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Output of all the models tested on the real time jiggled seismic events
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Data set in EDI format for the manuscript titled "2D Broadband Magnetotelluric Study of the Axial Fault Region of the New Madrid Seismic Zone"
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Model files and output seismograms for Seismic Wavefield Modelling of Enceladus: challenges and opportunities presented by a 3D ice shell (Dapré & Irving)
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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.