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33 results for “geological modeling”
Data from: A geology and geodesy based model of dynamic earthquake rupture on the Rodgers Creek-Hayward-Calaveras fault system, California
<p>The Hayward fault in California's San Francisco Bay area produces large earthquakes, with the last occurring in 1868. We examine how physics-based dynamic rupture modeling can be used to numerically simulate large earthquakes on not only the Hayward fault, but also its connected companions to the north and south, the Rodgers Creek and Calaveras faults. Equipped with a wealth of images of this fault system, including those of its 3D geology and 3D geometry, in addition to inferences about its interseismic creep rate pattern and rock-friction behavior, we use a finite-element computer code to perform 3D dynamic earthquake rupture simulations. We find that the rock properties affect the locations and amount of slip produced in our simulated large earthquakes. Crucial factors that control rupture behavior in our modeling are the earthquake nucleation locations, the fault geometry, and the data that reveal where the fault system is creeping or locked. Our findings suggest that large Rodgers Creek-Hayward-Calaveras-Northern Calaveras (RC-H-C-NC) fault-system earthquakes may result from dynamic rupture that starts in a locked part of the fault system, but is then stopped by the creeping parts, leading to high magnitude-6 earthquakes; or, from dynamic rupture that starts in a locked part of the fault system, then cascades through some of the creeping parts, leading to magnitude-7 earthquakes.</p>
Exercise 5 of the book "Virtual outcrop models of geological structures"
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Exercise 6 of the book "Virtual outcrop models of geological structures"
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Exercise 4 of the book "Virtual outcrop models of geological structures"
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Exercise 3 of the book "Virtual outcrop models of geological structures"
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Exercise 2 of the book "Virtual outcrop models of geological structures"
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Exercise 1 of the book "Virtual outcrop models of geological structures"
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Coupling Multiple Models For Dynamic Simulation Of Geological Hazard Chains: A Case Study Of Baige Landslide, Jinsha River, China
<p><strong>Coupling Multiple Models For Dynamic Simulation Of Geological Hazard Chains: A Case Study Of Baige Landslide, Jinsha River, China </strong></p>
method of homogeneous microzones in seismic perspective (MOPS) with geological-technical sections of reference for the subsoil model.
<p>Method of homogeneous microzones in seismic perspective (MOPS) with geological-technical sections of reference for the subsoil model.</p>
Supplementary material: Design and construction of geologic analog models derived from the analysis of planetary surfaces
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Data from: A geology and geodesy based model of dynamic earthquake rupture on the Rodgers Creek-Hayward-Calaveras fault system, California
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3-D geological model of the Le Teil area
<p>3D geological model of the Le Teil (Ardèche, France) region, built after the 2019 Mw4.9 Le Teil earthquake, from new geological observations collected during field works in the region surrounding the 2019 rupture. The database of observations used for building the model is accessible <a href="http://zenodo.org/record/4836308#.Yf_RiC_pPUI">here</a>.</p> <p>The model is provided in a 3D PDF format, which can be opened with Adobe Acrobat Reader DC.</p> <p>Related publication : Marconato L., P.-H. Leloup, C. Lasserre, R. Jolivet, S. Caritg, R. Grandin, M. Métois, O. Cavalié, L. Audin, Insights on fault reactivation during the 2019 November 11, M<sub>w</sub> 4.9 Le Teil earthquake in southeastern France, from a joint 3-D geological model and InSAR time-series analysis, Geophysical Journal International, Volume 229, Issue 2, May 2022, Pages 758–775, <a href="https://doi.org/10.1093/gji/ggab498">https://doi.org/10.1093/gji/ggab498</a></p>
Synthetic geophysical survey using geological modelling from the Yerrida Basin (Western Australia)
<p>This is a companion dataset to the manuscript:</p><p>"Towards geologically reasonable lithological classification from integrated geophysical inverse modelling", by J. Giraud, M. Lindsay, M. Jessell, and V. Ogarko.</p><p>This dataset contains the true model, the geological uncertainty volume constraining inversion, the starting model for inversion, and the inverted model. It also contains the inverted geophysical data. The inverted data were generated using geological modelling from the area and prior petrophysical information (more information in the above-mentioned document). For standalone usage of this dataset, the inversion parameters can be found in the following publication: </p><p>Giraud, J., M. Lindsay, V. Ogarko, M. Jessell, R. Martin, and E. Pakyuz-Charrier, 2019a, Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization: Solid Earth, 10, 193–210.</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.