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662 results for “seismicity”
Fig. 1 in A seismically induced onshore surge deposit at the KPg boundary. North Dakota
Fig. 1. Map of the Tanis study locality. (A) Tanis within a regional context (large map) and on a national map (Inset). Reprinted with permission from ref. 14; black dots in Inset are previously documented KPg tsunami localities; star denotes Tanis. Kf, Fox Hills Formation; Kh, Hell Creek Formation; Kp, Pierre Shale; Qor, Holocene; QTu, Quaternary and Upper Tertiary; Tp, Slope Formation. (B) Photo and interpretive overlay of an oblique cross-section through Tanis, showing the contact between the angled point-bar sandstone and the gray Hell Creek bedrock. (c) Simplified schematic depicting the general contemporaneous depositional setting for the Event Deposit (not to scale). The Event Deposit (1) covers the slope of a prograding point bar of a meander (2), which incised into the Hell Creek bedrock during the late Cretaceous. Location of the densest carcass accumulations (3) along the slope; location of KPg boundary tonstein directly overlying the Event Deposit (4); location of KPg tonstein overlying the adjacent overbank (5); location of Brooke Butte (6), the closest KPg outcrop to Tanis.
Fig. 7 in A seismically induced onshore surge deposit at the KPg boundary. North Dakota
Fig. 7. The Tanis Konservat-Lagerstätte. (A) Plaster field jacket with partially prepared (freshwater) acipenseriform fish (FAU.DGS.ND.161.116.T) next to a nacreous ammonite shell (Inset). (B) Partial site map showing carcasses oriented by flow. (c) Field photo showing mass grave of fish carcasses, aligned by flow.
Fig. 2 in A seismically induced onshore surge deposit at the KPg boundary. North Dakota
Fig. 2. Tanis site stratigraphy and fossil distribution. Stratigraphic section of Tanis, outlining the lithological subdivisions and grain-size profile for the Event Deposit, abundance and primary stratigraphic distribution for a selection of continental and marine fossils, abundance of marine palynomorphs (palyno %), select impact-derived materials, and flow direction.
Fig. 3 in A seismically induced onshore surge deposit at the KPg boundary. North Dakota
Fig. 3. Chicxulub tonstein capping the Event Deposit at Tanis and representative impact-derived materials. (A) Iridium-enriched tonstein in situ atop the Event Deposit. (B) Shocked mineral with multiple intersecting planar deformation features (FAU.DGS.ND.161.977.T). (c) Clay-altered ejecta spherules (FAU.DGS.ND.161.33.T), some with prominent schlieren. (D) Micro-CT of a clay-altered ejecta spherule with unaltered glass core (FAU.DGS.ND.161.11.T). (E) Shards of unaltered impact glass (FAU.DGS.ND.161.45.T).
Supplemental material to 'Evaluation of force-based and displacement-based out-of-plane seismic assessment methods for unreinforced masonry walls through refined model simulations'
<p>This repository contains the results of discrete element simulations used to study the response of vertically-spanning unreinforced masonry walls under different wall configurations. The simulations are run using the software package UDEC 6.0 (<a href="https://www.itascacg.com/">Itasca</a>). The dataset has served as basis for the study conducted in the following paper:</p> <blockquote> <p>Godio M, Beyer K. Evaluation of force-based and displacement-based out-of-plane seismic assessmentmethods for unreinforced masonrywalls through refined model simulations. Earthquake Engng Struct Dyn. 2019;48:454-475. <a href="http://doi.org/10.1002/eqe.3144">DOI:10.1002/eqe.3144</a></p> </blockquote> <p>Version history:<br> V1: datasets '01_UDEC_VALIDATION' and '02_UDEC_RESULTS are added<br> V2: minor modifications to the datasets: deletion of unwanted temporary files from the datasets<br> V3: '00_CONTENT' PDF-file is added </p>
Seismic patents texts
<p>Bag of words</p> <p> </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>
All figures for "Application of a new method to simulate post-seismic deformations in a realistic Earth model"
<p>It is a zip file for the figures used in paper "Application of a new method to simulate post-seismic deformations in a realistic Earth model".</p>
Seismic dispersion and attenaution in fluid-saturated carbonate rocks: effect of microstructure and pressure
<p>Dataset for the article "Seismic dispersion and attenaution in fluid-saturated carbonate rocks: effect of microstructure and pressure"<br> by Borgomano J.V.M., Pimienta L.X., Fortin J., Gueguen Y.</p> <p>submitted to Journal of Geophysical Research: Solid Earth.</p> <p>Please refer to the ReadMe file or to borgomano@geologie.ens.fr for more details.</p>
Seismic dataset in "Source-Independent Passive Seismic Reverse-time Structure Imaging with Grouping Imaging Condition: Method and Application to Microseismic Events Induced by Hydraulic Fracturing"
<p>This dataset contains the seismic data and the velocity model used in the manuscript entitled "Source-Independent Passive Seismic Reverse-time Structure Imaging with Grouping Imaging Condition: Method and Application to Microseismic Events Induced by Hydraulic Fracturing" submitted to Journal of Geophysical Research-Solid Earth.</p>
Dataset used in "Urban Seismic Site Characterization by Fiber-Optic Seismology" by Spica et al. in Journal of Geophysical Research: Solid Earth
<p>Spica et al. (2019, Journal of Geophysical Research: Solid Earth). This repository contains continuous waveforms from DAS for one day and for the stations mentioned in the article (Fig. 8).</p> <p>Files: all traces in miniseed format. Traces stats in the headers and in the article.</p>
Dataset for the study of "Seismic fault slip at depths simulated by high-velocity friction experiments under hydrothermal conditions"
<p>These are measured data of high-velocity friction experiments conducted on gabbro and marble under hydrothermal conditions (initial ambient temperature of 40 to 400 degC and pore pressure of 30 MPa). </p> <p>In each txt file, Column1 to Column9: Time (s), Slip Velocity (m/s), Displacement (m), Friction coefficient, Axial Displacement (mm), Pore water pressure (MPa), Effective normal stress (MPa), Sample Temperature (degC) and Furnace Temperature (degC).</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>
A Novel 3-D Seismic Scattering and Intrinsic Attenuation Tomography and Its Application to Northern Sumatra
Open the record for dataset details and reuse information.
Derived seismic data products from paper: "Seismic Imaging of the Reykjanes Peninsular, Iceland: Crustal-scale context of geothermal areas and ongoing volcano-tectonic unrest"
<p>Receiver Functions (RF) and Dispersion Curves derived from seismic stations throughout the Reykjanes Peninsular SW Iceland. </p> <p>RF are in Smurfpy python3 PICKLE format - details on format and scripts to read in here: https://github.com/sannecottaar/smurfpy. Folder <strong> </strong>has the following file structure:</p> <p><strong>RF_Data_Zenodo</strong> --> contains station folders: <strong>Network.Station</strong> --> contains folders <strong>goodRF_crust2</strong> and <strong>goodRF_crust6 </strong>where 2 and 6 refer to Gaussian pulse widths used to produce RF via iterative deconvolution --> contains RF files in format <strong><em>NETWORK.STATION_BAZ_EPIDIST_EVTIME.PICKLE</em></strong> and subfolders of identified highly similar waveform subsets in the format <strong>BAZ_NNN_NNN </strong>used in data inversions<strong><br></strong></p> <p>Dispersion curves are in Fast Marching Surfacewave Tomography FMST input format (Rawlinson and Sambridge, 2005), details on format in FMST manual: https://iearth.edu.au/codes/FMST/instructions.pdf. Folder <strong>FMST_Dispersion_Inputs_Zenodo </strong>contains the following files:</p> <ul> <li>otimes0.25Hz.dat</li> <li>otimes0.2Hz.dat</li> <li>otimes0.35Hz.dat </li> <li>otimes0.3Hz.dat</li> <li>otimes0.45Hz.dat</li> <li>otimes0.4Hz.dat</li> <li>otimes0.5Hz.dat</li> <li>sources.dat </li> <li>receivers.dat</li> </ul> <p> </p> <p><em>References</em>:</p> <div>Rawlinson, Nick. "FMST: fast marching surface tomography package–Instructions." <em>Research School of Earth Sciences, Australian National University, Canberra</em> 29 (2005): 47.</div>
Data and program codes to reproduce the results of seismic tomography for the central Iturup Island (Kuril Arc)
<p>This file contains the files to reproduce the results presented in the article: by Ivan Koulakov et al. (2024). "<span>Feeding system beneath active volcanoes in central part of Iturup Island (Kuril Arc) inferred from local earthquake tomography"</span>, Journal of Volcanology and Geothermal Research.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Iturup Island.</p> <p>3. README_ITURUP.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>4. Folder SRF_files with figures from the paper created in Surfer-13 that can be used as templates to visualize the results. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p>
Repository for the codes and raw dataset used in the paper: Testing driving mechanisms of megathrust seismicity with Explainable Artificial Intelligence.
<p>This repository contains the codes/notebooks and raw dataset used in the paper:</p> <p>Testing driving mechanisms of megathrust seismicity with Explainable Artificial Intelligence. by Juan Carlos Graciosa, Fabio A. Capitanio, Adam Beall, Mitchell Hargreaves, Thyagarajulu Gollapalli, Titus Tang, Mohd Zuhair</p> <h3>xai-megathrust:</h3> <p>This directory contains the following:</p> <p>1. helper_pkg: Package containing helper routines used during the creation of grids.<br>2. in-data: Contains the processed but non-standardized features. Standardization is done during runtime.<br>3. ml4szeq: Main set of codes used in the study.<br>4. ntbk: Notebooks used in the study. This includes the sampling of the raw data into grids (0_grid_sampling.ipynb), creation of classification maps (1_make_classification_maps.ipynb), and the creation of LRP heatmaps (2_make_lrp_heatmaps.ipynb).<br>5. vis_pkg: Package used for creating maps</p> <p> </p> <h3>xai-megathrust-raw-data:</h3> <p>This contains the raw dataset. Here, the data prefix indicates the convergent region it is a part of and are as follows:</p> <p>1. alu: Alaska-Aleutians<br>2. cam: Central America<br>3. izu: Izu-Bonin-Mariana<br>4. ker: Tonga-Kermadec<br>5. kur: Japan-Kuriles-Kamchatka<br>6. ryu: Ryukyu-Nankai<br>7. sam: South America<br>8. sum: Southeast Asia </p> <p>This was adapted from the notation used by Hayes et al., 2018.</p>
The seismic signature and geothermal potential of the Schwechat Depression in the Vienna Basin, Austria, from ambient noise tomography
<p>This folder contains the cross-correlation functions, the Love and Rayleigh dispersion measurements, the Love and Rayleigh2D group velocity maps, the 3D shear-wave velocity model and a Paraview file for 3D visualization of the Vs model. For further information refer to "C. Esteve, Y. Lu, J. M. Gosselin, R. Kramer, Y. Aiman, G. Bokelmann, 2024, The seismic signature and geothermal potential of the Schwechat Depression in the Vienna Basin, Austria, from ambient noise tomography" published in Geothermics.</p>
What Can Generative Modelling Do for Interpolation of Extremely Sparse Wind Farm Seismic Data
<p>2024 Global energy transition abstract about diffusion model data interpolation. </p>
Monitoring water content variations from seismic noise in a controlled laboratory experiment: PART 2 [Dataset]
<p>This dataset has been obtained with an original laboratory experiment aimed at assessing the sensitivity of passive seismic interferometry imaging (PII) to controlled fluctuations in water content. Multiple controlled cycles of water imbibition and draining at the base of the sandbox produce significant variations in the seismic wavefield and especially in dominant surface waves. PART 2: seismic measurements from 1501 to 2700minutes</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)
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.