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488 results for “Rupture”

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zenodo48/100

Simultaneously Enhanced Tenacity, Rupture Work, and Thermal Conductivity of Carbon Nanotubes Fibers by Raising Effective Tube Portion

<p>Although individual carbon nanotubes (CNTs) are superior as constituents to polymer chains, the mechanical and thermal properties of CNT fibers (CNTFs) remain inferior to synthetic fibers due to the failure of embedding CNTs effectively in superstructures. Conventional techniques resulted in a mild improvement of target properties while achieving parity at best on others. Here, a Double-Drawing technique is developed to rearrange the constituent CNTs in both mesoscale and nanoscale morphology. Consequently, the mechanical and thermal properties of the resulting CNTFs can simultaneously reach their highest performances with specific strength ~3.30 N/tex, work of rupture ~70 J/g, and thermal conductivity ~354 W/m/K, despite starting from low-crystallinity materials (<em>I</em><sub>G</sub>:<em>I</em><sub>D</sub>~5). The processed CNTFs are more versatile than comparable carbon fiber, Zylon and Dyneema. Based on evidence of load transfer efficiency on individual CNTs measured with In-Situ-Stretching-Raman, we find the main contributors to property enhancements are the increasing of the effective tube contribution, in addition to the known optimization on CNTs alignment and stacking.</p>

opencc-byDec 2021View details →
zenodo48/100

Dataset For Molecular Dynamics Simulations of Thin Film Rupture

<p>Data files for production runs for the key results reported in "Life and Death of a Thin Liquid Film", (2024) by Muhammad Rizwanur Rahman, Li Shen, James P. Ewen, D. M. Heyes, Daniele Dini, and E. R. Smith. The directory named "spontaneous-rupture-equilibrated-state-for-production-runs" contains data files of different initial film thicknesses, and the directory named "synthetic-rupture-equilibrated-state-for-production-runs" contains data files for films with similar initial thickness, but with different patterns of synthetic damages caused to the film. These files should be used as the restart file for production phase under NVE ensemble.&nbsp;</p> <p>Codes to run these files, and process the data are described in github: https://github.com/MuhammadRRahman/Thin-Film-Rupture-NEMD.git.</p>

opencc-by-4.0Jul 2024View details →
zenodo48/100

Third Uniform California Earthquake Rupture Forecast (UCERF3) Fault System Solutions

<p>Data files for the Third Uniform California Earthquake Rupture Forecast (UCERF3), as described in <a href="https://doi.org/10.1785/0120130164">https://doi.org/10.1785/0120130164</a>.<br> <br> These data are stored in the original UCERF3 Fault System Solution file format, which uses binary files within zip containers. This format is being revised, and updates to this dataset will be published when the new and more user friendly format is finalized. See <a href="https://opensha.org/File-Formats">https://opensha.org/File-Formats</a> for more information.<br> <br> File descriptions:<br> <br> <strong>Branch Averaged Files</strong></p> <p>These files contain branch-averaged fault system solutions, where rupture properties (magnitude, rake, rate of occurrence, etc) are averaged across all UCERF3 logic tree branches, according to each branch&#39;s weighting in the final model. This is the simplest version of the model, and can be used as a quick approximation to mean hazard. One file exists for each fault model, and these files are compatible with the time-dependent version of UCERF3.</p> <ul> <li><em>branch_averaged_ucerf3_sol_FM3_1.zip</em> - fault model 3.1 branch averaged fault system solution</li> <li><em>branch_averaged_ucerf3_sol_FM3_2.zip</em> - fault model 3.2 branch averaged fault system solution</li> </ul> <p><strong>Full Model (Compound Solutions)</strong></p> <p>These files contain the full UCERF3 logic tree, and can be used to extract data for individual logic tree branches (e.g., for use in hazard calculations that consider all epistemic uncertainties).</p> <ul> <li><em>full_ucerf3_compound_sol.zip</em> - full compound solution file with information on all 1,440 time-independent logic tree branches</li> <li><em>full_ucerf3_compound_sol_with_individual_runs.zip</em> - same as above, but also containing rates for each of 10 simulated annealing inversion runs for each logic tree branch (total of 14,400 inversions)</li> </ul> <p><strong>True Mean Solutions</strong></p> <p>A different type of branch averaged solution, the &ldquo;true mean&rdquo; solution, is also available. They are similar to the branch averaged fault system solution described above, but instead use duplicate versions of each rupture whenever a key property (rake, magnitude, area) changes. This retains all variability allowing for quick reproduction of mean UCERF3 results with a minimum set of ruptures. The MeanUCERF3 ERF implemented in&nbsp;<a href="https://opensha.org">OpenSHA</a> uses these files and also allows the user to apply various approximations to further reduce the rupture count.</p> <p>Note: These solutions are not compatible with time dependent UCERF3 calculations as multiple instances of each subsection may exist, resulting in rate partitioning between instances and incorrect recurrence intervals for renewal model calculations.</p> <ul> <li><em>true_mean_ucerf3_sol.zip</em> - true mean fault system solution, across both fault models</li> <li><em>true_mean_ucerf3_sol_FM3_1.zip</em> - true mean fault system solution, only for fault model 3.1</li> <li><em>true_mean_ucerf3_sol_FM3_2.zip</em> - true mean fault system solution, only for fault model 3.2</li> </ul> <p><strong>Metadata</strong></p> <p>A copy of the original file format description is included in <em>file_format.md</em>, and is also <a href="https://opensha.org/File-Formats">available online here</a>. A CSV file that includes information on each gridded seismicity location is also included (<em>relm_gridded_region.csv</em>).</p>

opencc-by-4.0May 2014View details →
zenodo44/100

Setup of the TPV16 benchmark for dynamic rupture verification

<p>Verification benchmark for simulations with dynamic rupture and local time stepping with SeisSol, version Shaking Corals. More details can be found in the publication Uphoff et al. "Extreme scale multi-physics simulations of the tsunamigenic 2004 Sumatra megathrust earthquake", 2017 and on the project homepage (http://www.seissol.org/).</p>

opencc-by-4.0Nov 2017View details →
zenodo44/100

UAV-derived DEM and DOM along the co-seismic surface ruptures produced by the Mw5.7 aftershock during the 22-01-2024, Mw7.0 Wushi earthquake, Xinjiang, China

<p>This unmanned aerial vehicle (UAV) dataset was acquired by a DJI Matrice 300 RTK and a DJI Phantom 4 Pro, on February 3 and 5, 2024, respectively. The Digital Elevation Model (DEM) and Digital Orthophoto Map (DOM) were processed using the Agisoft Metashape Professional software. These data were used to map the co-seismic surface ruptures produced by the 29-01-2024, Mw5.7 aftershock following the 22-01-2024 Mw7.0 Wushi mainshock, Xinjiang, China, and to measure the associated vertical offsets along the surface ruptures.</p>

opencc-by-4.0Apr 2024View details →
zenodo44/100

Fracture Data Supporting: 'The 2024 Mw4.8 New Jersey Intraplate Earthquake: Preferential Rupture of an Immature Fault in Frictionally Unstable Basement Rocks'

<p>The spreadsheets contain fracture and paleoslip surface datasets measured across the epicentral region of the April 5, 2024 Mw4.8 New Jersey earthquake. Datasets contain coordinates of outcrops, strike, dip, and trend/plunge or rake (where slickenlines are observed).</p>

opencc-by-4.0Nov 2024View details →
zenodo44/100

Dynamic full-field imaging of rupture radiation: Material contrast governs source mechanism

<p>Datasets related to the research article &#39;Dynamic full-field imaging of rupture radiation: Material contrast governs source mechanism&#39;.&nbsp;<br> A readme with the necessary Matlab code to load the data is included.<br> Tested on Matlab2020b</p> <p>For the analytic rupture radiation simulation code please check the linked github repository.</p>

opencc-by-4.0Jul 2022View details →
zenodo44/100

Earthquake rupture front tracked by polarization azimuths: Codes and extra material

<p>Set of matlab codes to calculate the rupture front position and migration speed every second starting from a set of SAC files.</p> <p>delays_turkey_event.m needs as input SAC files and returns a set of figures displaying the rupture front position and migrations speed. It needs some ad-hoc functions that are contained in this repository.&nbsp;</p> <p>list_of_accelerometers.txt contains the list of instruments processed in the code.&nbsp;</p> <p>turkey_section.py plots the seismic section of a subset of instruments located on or close the East Anatolian Fault line slipped during the Mw 7.8 2023 Kahramanmaraş earthquake.</p> <p>For all details, see Palo and Zollo, Small-scale segmented fault rupture along the East Anatolian Fault during the 2023 Kahramanmaraş earthquake, <em>Commun Earth Environ, 2024. </em>Uploaded files .fig correspond to the source figures of the graphs included in this paper.&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2024View details →
zenodo44/100

3D displacement field and fault-offset measurements for the northern Kaikōura ruptures

<p>Contents:</p> <p>1. East, north and vertical components of the co-seismic displacement field for three faults (the Kekerengu, Jordan and Upper Kowhai faults) that ruptured in the 2016 Kaikoura earthquake, New Zealand (east.tif, north.tif, vertical.tif).</p> <p>2. Shapefiles containing&nbsp;offsets across the faults of interest, measured from the displacement field (shapefiles.zip).</p> <p>3. CSV files&nbsp;containing&nbsp;offsets across the faults of interest, measured from the displacement field (csvs.zip).&nbsp;</p> <p>Our methodology is described in the following manuscript:</p> <p>Howell et al., 2019.&nbsp;3D surface displacements during the 2016 MW 7.8 Kaikōura earthquake (New Zealand) from photogrammetry-derived point clouds, Journal of Geophysical Research Solid Earth, submitted.</p>

opencc-by-4.0Dec 2019View details →
dryad40/100

Analysis of copy number variation in dogs implicates genomic structural variation in the development of anterior cruciate ligament rupture

<p>Anterior cruciate ligament (ACL) rupture is an important condition of the human knee. Second ruptures are common and societal costs are substantial. Canine cranial cruciate ligament (CCL) rupture closely models the human disease. CCL rupture is common in the Labrador Retriever (5.79% prevalence), ~100-fold more prevalent than in humans. Labrador Retriever CCL rupture is a polygenic complex disease, based on genome-wide association study (GWAS) of single nucleotide polymorphism (SNP) markers. Dissection of genetic variation in complex traits can be enhanced by studying structural variation, including copy number variants (CNVs). Dogs are an ideal model for CNV research because of reduced genetic variability within breeds and extensive phenotypic diversity across breeds. We studied the genetic etiology of CCL rupture by association analysis of CNV regions (CNVRs) using 110 case and 164 control Labrador Retrievers. CNVs were called from SNPs using three different programs (PennCNV, CNVPartition, and QuantiSNP). After quality control, CNV calls were combined to create CNVRs using ParseCNV and an association analysis was performed. We found no strong effect CNVRs but found 46 small effect (max(T) permutation P&lt;0.05) CCL rupture associated CNVRs in 22 autosomes; 25 were deletions and 21 were duplications. Of the 46 CCL rupture associated CNVRs, we identified 39 unique regions. Thirty four were identified by a single calling algorithm, 3 were identified by two calling algorithms, and 2 were identified by all three algorithms. For 42 of the associated CNVRs, frequency in the population was &lt;10% while 4 occurred at a frequency in the population ranging from 10-25%. Average CNVR length was 198,872bp and CNVRs covered 0.11 to 0.15% of the genome. All CNVRs were associated with case status. CNVRs did not overlap previous canine CCL rupture risk loci identified by GWAS. Associated CNVRs contained 152 annotated genes; 12 CNVRs did not have genes mapped to CanFam3.1. Using pathway analysis, a cluster of 19 homeobox domain transcript regulator genes was associated with CCL rupture (P=6.6E-13). This gene cluster influences cranial-caudal body pattern formation during embryonic limb development. Clustered genes were found in 3 CNVRs on chromosome 14 (HoxA), 28 (NKX6-2), and 36 (HoxD). When analysis was limited to deletion CNVRs, the association was strengthened (P=8.7E-16). This study suggests a component of the polygenic risk of CCL rupture in Labrador Retrievers is associated with small effect CNVs and may include aspects of stifle morphology regulated by homeobox domain transcript regulator genes.</p>

opencc-zeroDec 2020View details →
zenodo40/100

Chilean Subduction Zone rupture scenarios and waveform data

<p>Chilean Subduction Zone kinematic rupture scenarios and waveform data for the submitted work&nbsp;<strong>Early warning for great earthquakes from characterization of crustal deformation patterns with deep learning (2020)</strong>&nbsp;by Lin et al.</p>

opencc-by-4.0Aug 2020View details →
zenodo40/100

Large surface-rupture gaps and low surface fault slip of the 2021 Mw 7.4 Maduo earthquake along a low-activity strike-slip fault, Tibetan Plateau

<p>In this data set, Text S1 describes methods of (i) field investigation, UAV image collection and interpretation and (ii) horizontal and vertical displacement measurements. Figure S3 shows pre-event topographic expressions of the Maduo earthquake fault. Tables S1 and S2 provide measurement results of horizontal and vertical displacements, respectively. Datasets 1-4 provide the UAV flight swath, interpreted surface ruptures and secondary cracks, horizontal displacements and vertical displacements.</p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

Rupture Process of the 2017 Mw 6.3 Earthquake in Jinghe, Northwest China Constrained by GNSS, InSAR and teleseismic waveforms

<p>This dataset include:</p> <p>1. Slip model of 2017 Mw 6.3 Jinghe earthquake&nbsp;invert with GNSS, InSAR and teleseismic waveforms.</p> <p>2. InSAR LOS offsets caused by the mainshock (The file named by sar.static&nbsp;)</p> <p>3. Aftershocks locations relocated with hypoDD</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2022View details →
zenodo40/100

SUrface Ruptures due to Earthquakes (SURE) database - version 1.0

<p>The files correspond to the rupture traces, slip measurement points and earthquake information of the Surface rupture database published in the paper &quot;A Worldwide and Unified Database of Surface Ruptures (SURE) for Fault Displacement Hazard Analyses&quot; by&nbsp;St&eacute;phane Baize, Fiia Nurminen, Alexandra Sarmiento, Timothy Dawson, Makoto Takao, Oona Scotti, Takashi Azuma, Paolo Boncio, Johann Champenois, Francesca R. Cinti, Riccardo Civico, Carlos Costa, Luca Guerrieri, Etienne Marti, James McCalpin, Koji Okumura, and Pilar Villamor in&nbsp;Seismological Research Letters (doi: 10.1785/0220190144).</p>

opencc-by-4.0Mar 2022View details →
dryad40/100

A role for myosin II cluster and membrane energy in cortex rupture for Dictyostelium discoideum cells

<p>Blebs, pressure driven protrusions of the cell membrane, facilitate the movement of eukaryotic cells such as the soil amoeba <em>Dictyostelium discoideum</em>, white blood cells and cancer cells. Blebs initiate when the cell membrane separates from the underlying cortex. A local rupture of the cortex, has been suggested as a mechanism by which blebs are initiated. However, much clarity is still needed about how cells inherently regulate rupture of the cortex in locations where blebs are expected to form. In this work, we examine the role of membrane energy and the motor protein myosin II (myosin) in facilitating the cell driven rupture of the cortex. We perform under-agarose chemotaxis experiments, using <em>Dictyostelium discoideum</em> cells, to visualize the dynamics of myosin and calculate changes in membrane energy in the blebbing region. To facilitate a rapid detection of blebs and analysis of the energy and myosin distribution at the cell front, we introduce an autonomous bleb detection algorithm that takes in discrete cell boundaries and returns the coordinate location of blebs with its shape characteristics. We are able to identify by microscopy naturally occurring gaps in the cortex prior to membrane detachment at sites of bleb nucleation. These gaps form at positions calculated to have high membrane energy, and are associated with areas of myosin enrichment. Myosin is also shown to accumulate in the cortex prior to bleb initiation and just before the complete disassembly of the cortex. Together our findings provide direct spatial and temporal evidence to support cortex rupture as an intrinsic bleb initiation mechanism and suggests that myosin clusters are associated with regions of high membrane energy where its contractile activity leads to a rupture of the cortex at points of maximal energy.</p>

opencc-zeroMar 2022View details →
zenodo40/100

Aseismic and recent ruptures of persistent asperities along the Alaska-Aleutian subduction zone

<p>This&nbsp;repository contains GPS derived coseismic offsets and 87-day postseismic displacements associated with the 2020 Mw .78 Simeonof Island, Alaska earthquake, as well as the preferred interseismic backward slip rate distribution along the Alaska-Aleutian subduction zone&nbsp;in GMT psxy format. if you use the dataset, please cite the following paper:</p> <p>Zhao, B., Burgmann, R., Wang, D., Zhang, J., Yu, J., &amp; Li, Q. (2022). Aseismic slip and recent ruptures of persistent asperities along the Alaska-Aleutian subduction zone.&nbsp;<em>Nature Communications</em>. https://doi.org/10.1038/s41467-022-30883-7</p>

opencc-by-4.0Apr 2022View details →
zenodo40/100

Liquid film rupture beyond the thin-film equation: a multi-component lattice Boltzmann study - Dataset

<p>Dataset for the material presented in the article &quot;Liquid film&nbsp;rupture beyond the thin-film equation: a multi-component lattice Boltzmann study&quot;</p>

opencc-by-4.0May 2022View details →
zenodo40/100

Geometric Control on Seismic Rupture and Earthquake Sequence along the Yingxiu-Beichuan Fault with Implications for the 2008 Wenchuan Earthquak

<p>A 65000 years seismic sequence is numerical simulated using TriBIE on the unplanar fault plane with variation normal stress. The code is now available&nbsp;&nbsp;in an open-source Git-hub project, <a href="https://github.com/daisy20170101/TriBIE/tree/normal_stress_variation">https://github.com/daisy20170101/TriBIE/tree/normal_stress_variation</a>.</p> <p>The modeling will output the bianary format files of &nbsp;normal stress, fault slip velocity, shear stress, slip during the interseismic loading and coseismic rupture stage, respectively. Since it is impossible to output the data at every time step, especially for the large-scale&nbsp;&nbsp;fault model. Thus, during the interseismic loading, we set a constant&nbsp;time interval to output data and the t-inter-***.dat file will record every time, when the&nbsp;data is outputted. During coseimic rupture, t-cos-**.dat file records time&nbsp;of outputing data.&nbsp;&nbsp;So, the size of t-inter-**.dat and t-cos-**.dat file is the number of outputting steps.The fault plane&nbsp;is discretized into 3,1440 elements and the simulation is carried out by&nbsp;parallel computing on 6 servers with 120 CPUs .&nbsp;Each CPU will dispose data of 262 elements.&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2022View details →
zenodo40/100

Data for "Slow Rupture in a Fluid-rich Fault Zone Initiated the 2024 Mw 7.5 Noto Earthquake"

<p><strong>Files for our 3D deformation maps, Back-Projection results, static slip model, and kinematic slip model for the 2024 Mw 7.5 Noto earthquake.</strong></p>

opencc-by-4.0May 2024View details →
zenodo40/100

Coseismic Surface Ruptures of 20 Strike-Slip Earthquakes Measured from Geodetic Imaging Data

<p>Coseismic surface displacement maps for 20 strike-slip surface rupturing earthquakes measured from radar and optical pixel tracking data.&nbsp;</p> <p>This dataset contains 2D and 3D surface displacement maps, fault traces, total fault-parallel slip measured from the surface displacement maps, a number of strain maps and image IDs used to generate the surface displacement maps&nbsp;</p>

opencc-by-4.0Feb 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record