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6,639 results for “Failure”
Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure
<p>Genome-wide association study summary statistics.</p>
Supplemental Data for the Journal Article Entitled The mechanistic origins of heterogeneous void growth during ductile failure accepted for publication by Acta Materialia
<p>This repository contains the Supplemental Data for the Journal Article Entitled The mechanistic origins of heterogeneous void growth during ductile failure accepted for publication by Acta Materialia.</p> <p>Authors: M.W. Vaughan<sup>a</sup>, H. Lim<sup>a</sup>, B. Pham<sup>a</sup>, R. Seede<sup>a</sup>, A. T. Polonsky<sup> a</sup>, K. Johnson<sup> a</sup>, P. J. Noell<sup>a,*</sup></p> <p>a: Sandia National Laboratories, Albuquerque, NM 87123</p> <p>Each folder contains a ReadMe.txt describing the files and their organization within each folder. </p> <p><br>Acknowledgements:<br><span>This work was supported by the Laboratory Directed Research and Development program at Sandia National Laboratories, a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia LLC, a wholly owned subsidiary of Honeywell International Inc. for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. The views expressed in the article do not necessarily represent the views of the U.S. DOE or the United States Government. </span></p>
Failure Handling Website States for Potato GUSC IoT System
<p><span>Screenshots of the Statuses section of </span><span>the website in ERS-FH after sensor node software and sensor </span><span>failures occur. The screenshots of the website after the sensor </span><span>node hardware and lost data failures are shown in Figure 7 of the paper.</span></p>
PMMA tensile test until failure, loaded in force
<p>This document present the tensile test results for PMMA (acquired from McMaster). Digital Image Correlation (DIC) was used to measure displacements during the test. Results obtained provide the stress-strain plot, the evolution of Poisson's ratio and Young's Modulus over time. Such results could be compared with simulation results or used as part of an experimental dataset.<br> Raw results and a complete dataset are provided with this data package.</p>
PMMA 3 point bending test until failure loaded in displacement
<p>This document present the 3 point bending test results for PMMA. Digital Image Correlation (DIC) was used to measure displacements during the test. Results obtained provide the force-strain plot over time. Such results could be compared with simulation results or used as part of an experimental dataset.<br> Raw results and a complete dataset are provided with this data package.</p>
Supporting dataset for: "Floodplain Backwater Effect on Overtopping Induced Fluvial Dike Failure" (DOI: https://doi.org/10.1029/2017WR022492)
<p>Supporting data for:</p> <p>Rifai, I., El Kadi Abderrezzak, K., Erpicum, S., Archambeau, P., Violeau, D., Pirotton, M., & Dewals, B. (2018). Floodplain backwater effect on overtopping induced fluvial dike failure. Water Resources Research, 54. DOI:10.1029/2017WR022492.</p> <p> </p> <p>Included in this repository the data used in:</p> <p> - Figure 2 : Longitudinal profiles at dike crest for Tests 3 and 14<br> - Figure 3 : Elevations of 3D reconstructions of dike breaching for Tests 2, 5, and 14<br> - Figure 4 : Selected longitudinal profiles of Tests 14, 2, 3, and 5<br> - Figure 5 : Time series of water levels, breach discharges, breach widths, and channel Froude numbers for Tests 14, 1, 2, 4, and 5<br> - Figure 6 : Elevations of final 3D reconstructions of dikes for Tests 14, 1, 2, 4, and 5<br> - Figure 7 : Time series of the breach widening and deepening.</p>
Flights of a Multirotor UAS with Structural Faults: Failures on Composite Propeller(s)
<p>Data acquired from several flights of a custom-fabricated Hexacopter UAS with composite structure (carbon fiber arms and central hub) and composite (carbon fiber) propellers is presented here. The Hexacopter was assembled from a commercially available kit (Tarot 690) and was flown in manual and autonomous mode; take-offs and landings were under manual control and the bulk of the flight tests were conducted with the Hexacopter in a “Position Hold” mode. All flights were flown within the UAS flight cage at Parks College of Engineering, Aviation and Technology at Saint Louis University, for approximately 5 minutes each. Several failure conditions (different types of manually induced) on the composite (carbon fiber) propellers were tested, including failures on up to two propellers. The data set described in this article contains flight data from the onboard flight controller (Pixhawk) as well as three 3-axis accelerometers mounted on the arms of the Hexacopter UAS. The data is included as supplemental material.</p>
Prediction and Rehabilitation of Highway Embankment Slope Failures in Changing Climate
<p>Corresponding data set for Tran-SET Project No. 17GTLSU04. Abstract of the final report is stated below for reference:</p> <p>"Highway slopes constructed with clayey soil are prone to desiccation cracks due to wetting and drying weather cycle, which allows greater moisture infiltration into the embankment from precipitation. Fissures formed due to extended wetting and drying cycles allow water to seep deeper into the soil than surficial wetting and increase the water content. This increases the moisture content in the soil and results in reduction in shear strength to the fully softened strength. On the other hand, development of desiccation cracks and reduction of the soil matric suction ultimately result in higher hydraulic conductivity value which causes development of higher pore water pressure. As the moisture content of the clayey soil increases, the strength reduces to a fully softened shear strength that causes frequent shallow and medium slope failures that are oriented approximately parallel to the surface of the embankment. Hence, the fully softened strength of Louisiana and Texas soils need to be quantified to develop a predictive tool for identifying high-risk zones of highway embankments. Given the documented failures in Texas and Louisiana, this research project is focused on investigating past failures to develop lessons learned and guidelines that can be implemented in the predictive framework."</p>
The Ubiquitin Ligase WWP1 Contributes to Shifts in Matrix Proteolytic Profiles and a Myocardial Ageing Phenotype with Diastolic Heart Failure
<p><strong><em>Aims</em></strong>. Ubiquitylation is a key event that regulates protein turnover, and induction of the ubiquitin ligase E3 WWP1 has been associated with age. Left ventricular hypertrophy (LVH) commonly occurs as a function of age and can cause heart failure with a preserved ejection fraction (EF; HFpEF). We hypothesized that overexpression (O/E) of WWP1 in the heart would cause LVH as well as functional and structural changes consistent with the ageing HFpEF phenotype.</p> <p><strong><em>Methods and Results.</em></strong> Global WWP1 O/E was achieved in mice (n=11) and echocardiography (40 MHz) performed to measure LV mass, EF, Doppler velocities (early-E, late/atrial-A), myocardial relaxation (E’), and isovolumetric relaxation time (IVRT) at 4, 6, and 8 weeks. Age matched wild type animals (n=15) were included as referent controls. LV EF was identical (60+1% vs 60+1%, p>0.90) with no difference in LV mass (67+3 vs 75+5, p>0.25) at 4 weeks. LVH and diastolic dysfunction occurred with WWP1 O/E wherein LV mass increased by over two-fold, E/A fell (impaired passive filling), and E/E’ was lower and IVRT prolonged (impaired LV relaxation). Collagen percent area increased by over two-fold with WWP1 O/E and increased expression of determinants of fibrosis and growth (qPCR) were also concomitantly increased.</p> <p><strong><em>Conclusion.</em></strong> Inducing WWP1 expression caused LVH with significant diastolic dysfunction, consistent with the HFpEF phenotype. Thus, targeting the WWP1 pathway may be a novel therapeutic target for this intractable form of HF associated with ageing</p>
Pragmatic Failures in Intercultural Communication: Evidence from Jordan
Open the record for dataset details and reuse information.
Bearing Database - Combined Failure
<p><strong>Failure-induced vibration recordings on outer race and rolling elements of a spherical roller bearing (FAG 22205E1KC3)</strong></p> <p>This site allows access to vibration records of a bearing, in normal state and with combined failure, comprising localised defects induced in the outer raceway (OR) and rolling elements (RE). The experiment is carried out on a test bench, to validate a diagnostic method using "Contour Maps", proposed by Railway Technology Research Center (CITEF) of the Technical University of Madrid (Spain). The characteristics of the developed database are specified in the attached document "READ_ME.pdf".</p> <p>The article link is available at: <a href="https://www.mdpi.com/2076-3417/11/14/6452">https://www.mdpi.com/2076-3417/11/14/6452</a></p> <p>More information about the bearing test bench is available at: <a href="https://www.mdpi.com/1424-8220/20/12/3493/htm#">https://www.mdpi.com/1424-8220/20/12/3493/htm#</a></p>
Supplemental material to 'A variational rigid-block modelling approach to nonlinear elastic and kinematic analysis of failure mechanisms in historic masonry structures subjected to lateral actions'
<p>This repository contains the data necessary to reproduce the content of the article:</p> <blockquote> <p>A variational rigid-block modelling approach to nonlinear elastic and kinematic analysis of failure mechanisms in historic masonry structures subjected to lateral actions (2021). Earthquake Engineering & Structural Dynamics, 1–23. <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/eqe.3512">https://doi.org/10.1002/eqe.3512</a></p> </blockquote> <p>The file <strong>01_Dataset.zip</strong> contains the dataset. The companion document <strong>00_Dataset_description.pdf </strong>describes the content of the dataset, guiding the analyst to its use in order to (i) reproduce the article's results and (ii) compare the article's results to new results brought by the analyst, e.g. by comparison with other numerical models.</p> <p>Version history</p> <p>v2: updated references in 00_dataset description.pdf </p>
Progressive failure analysis of slip zone soils with strain-softening behavior and implications for landslide triggering mechanisms
<p>All figure for paper entitled “Progressive failure analysis of slip zone soils with strain-softening behavior and implications for landslide triggering mechanisms”</p>
Home automation system failure logic behavior rules
<p>This document presents the Home automation system failure logic behavior rules used to perform the model-based fault-tree analysis.</p>
Artifact: Incorporating Failure Knowledge into Design Decisions for IoT Systems: A Controlled Experiment on Novices
<p>Artifact for "Incorporating Failure Knowledge into Design Decisions for IoT Systems: A Controlled Experiment on Novices"</p>
Filial cannibalism leads to chronic nest failure of eastern hellbender salamanders (Cryptobranchus alleganienesis)
<p><span>These data and code support the results in our accompanying manuscript. In species that provide parental care, parents will sometimes cannibalize their own young. Here, we quantified the frequency of whole-clutch filial cannibalism in a species of giant salamander (eastern hellbender; <em>Cryptobranchus</em> <em>alleganienesis</em>) that has experienced precipitous population declines with unknown causes. We used underwater, artificial nesting shelters deployed across a gradient of upstream forest cover to assess the fates of 182 nests at 10 sites over 8 years. We found strong evidence that nest failure rates increased at sites with low riparian forest cover in the upstream catchment. At several sites, reproductive failure was 100%, mainly due to cannibalism by the caring male. The high incidence of filial cannibalism at degraded sites was not explained by evolutionary hypotheses for filial cannibalism based on adult body condition or low reproductive value of clutches. Instead, larger clutches at degraded sites were most vulnerable to cannibalism. We hypothesize that high frequencies of filial cannibalism of large clutches in areas with low forest cover could be related to changes in water chemistry or siltation that influence parental physiology or that reduce viability of eggs. Importantly, our results identify a possible mechanism contributing to population declines and observed geriatric age structure in this imperiled species.</span></p>
Data of "A micromechanical Mean-Field Homogenization surrogate for the stochastic multiscale analysis of composite materials failure"
<p><strong>Id</strong><br>title = "A micromechanical Mean-Field Homogenization surrogate for the stochastic multiscale analysis of composite materials failure"<br>journal = International Journal for Numerical Methods in Engineering<br>year = 2023<br>volume = 124<br>pages = 5200-5262<br>doi = 10.1002/nme.7344<br>authors = "Calleja, Juan Manuel and Wu Ling, and Nguyen, Van-Dung and Noels, Ludovic"</p> <p>If you use these data or model, we would be grateful if you could cite this above paper</p> <p><strong>Software</strong><br>Requires GMSH and Python 3 with packages numpy, matplotlib, sklearn (scikit-learn), os, pickle, scipy, pandas, cvs, math, seaborn.<br>Each folder contains readme that will help the user to navigate through the data.</p> <p>To run the model you need the open source code <a href="http://gitlab.onelab.info/cm3/cm3Libraries">https://gitlab.onelab.info/cm3/cm3Libraries </a>but you need to request access to cm3MFH as well</p> <p><strong>Directories</strong></p> <ol> <li>Main: Contains fast and easy access to the plots presented in the paper. The readme contained in this plot specifies the plots that are run with each code.</li> <li>1_SVE_Generator:Contains the files needed for the generation of the SVE, the statistical properties of the microstructure, and PLY samples for the full-field simulations, as well as the used samples</li> <li>2_Full_Field: contains the extracted data from the FF composite realizations, as well as the used random SVE geometries.</li> <li>3_Identification: Contains the identification code to find the effective parameters for each SVE realization as well as the obtained identification results.</li> <li>4_Generator: Contains the generated set of parameters for the 25 and 45 micrometer squared SVEs as well as the codes for the new data generation, the file with the generated data and the plots related with the MF-ROM random parameters and their cross-relations shown in Sections 2.5.2, 3.2.3 and 4.</li> <li>5_Tests: Contains all the information concerning the tests used for the verification of the MF-ROM and the ply and experimental compression results.</li> <li>MFH_vs_FF: Allows to easily test the inverse identification process through the use of random SVEs and verify the performance of the identified MFH parameters against its full-field counterpart.</li> </ol> <p><strong>Plot of figures</strong></p> <p>Figure 9 : Run "python plot_Gc.py" which can be found in folder Main/Full_Field_Energy<br>Figure 10: Run "python3 PDF_HIST_Gc.py", which can be found in folder Main/Histograms<br>Figure 23: Run "python3 plot.py" which can be found in folder Main/MFH_FF_Comparison<br>Figure 24: Run "python3 plot.py" which can be found in folder Main/MFH_FF_Comparison<br>Figure 27: Run "python3 Correlation_Graphs_25.py contained in folder Main/Distributions_25_Micrometer_SVE<br>Figure 29: Run "python3 PDF_HIST.py" which can be found in folder Main/Histograms<br>Figure 30: To obtain the data used in this figure, run "python3 DistanceCorrelation_25.py" which can be found in folder /4_Generator<br>Figure 31: To obtain the data used in this figure, run "python3 DistanceCorrelation_45.py" which can be found in folder /4_Generator<br>Figure 32: Run "python3 Correlation_Graphs_25.py" which can be found in folder Main/Distributions_25_Micrometer_SVE<br>Figure 33: Run "python3 Correlation_Graphs_25.py" which can be found in folder Main/Distributions_25_Micrometer_SVE<br>Figure 34: Run "python3 Correlation_Graphs_25.py" which can be found in folder Main/Distributions_25_Micrometer_SVE<br>Figure 36: Run "python3 plot_New.py" which can be found in folder Main/PlyTests<br>Figure 46: Run "python3 plot_Test.py" which can be found in folder Main/CompressionExperiment<br>Figure B3: Run "python3 MicroStrAna.py" which can be found in folder Main/MicroStructStatistics<br>Figure B4: Run "python3 MicroStrAna.py" which can be found in folder Main/MicroStructStatistics<br>Figure D5: Run "python3 PDF_HIST_B.py" which can be found in folder Main/Histograms<br>Figure D6: Run "python3 PDF_HIST_B.py" which can be found in folder Main/Histograms<br>Figure D7: Run "python3 PDF_HIST_B.py" which can be found in folder Main/Histograms<br>Figure D8: Run "python3 PDF_HIST_B.py" which can be found in folder Main/Histograms<br>Figure D9: Run "python3 PDF_HIST_B.py" which can be found n folder Main/Histograms<br>Figure D10: Run "python3 PDF_HIST_B.py" which can be found in folder Main/Histograms<br>Figure D11: Run "python3 PDF_HIST_B.py" which can be found in folder Main/Histograms<br>Figure D12: Run "python3 PDF_HIST_B.py" which can be found in folder Main/Histograms<br>Figure D13: Run "python3 PDF_HIST_B.py" which can be found in folder Main/Histograms<br>Figure D14: Run "python3 PDF_HIST_B.py" which can be found in folder Main/Histograms<br>Figure E15: Run "python3 Correlation_Graphs_45.py" which can be found in folder Main/Distributions_45_Micrometer_SVE<br>Figure E16: Run "python3 Correlation_Graphs_45.py" which can be found in folder Main/Distributions_45_Micrometer_SVE<br>Figure E17: Run "python3 Correlation_Graphs_45.py" which can be found in folder Main/Distributions_45_Micrometer_SVE<br>Figure F18: Run "python3 plot_Convergence_25.py" which can be found in folder Main/Convergence<br>Figure F19: Run "python3 plot_Convergence_45.py" which can be found in folder Main/Convergence<br> </p> <p> </p> <p> </p> <p> </p>
Coordinated drought responses determine the time to hydraulic failure in five temperate tree species differing in their degree of isohydry
<p>This file contains variables of interest at tree level measured, calculated and presented in the study "Coordinated drought responses determine the time to hydraulic failure in five temperate tree species differing in their degree of isohydry". </p>
[Northwest Borneo Simulations] Discrete-Continuous Model for Submarine Mass Failure-induced Tsunamigenesis
<p>Recent studies on submarine landslides, also known as submarine mass failures (SMF), show that they can be sources of hazardous tsunamis. In this study, a novel modelling technique which describes submarine mass failure-induced tsunamigenesis was developed. This was achieved through developing a cellular automata model, using ultradiscretization with the rules derived from the two-dimensional diffusion equation, to describe the discrete elements of the SMF such as rockfalls. Then, it will be coupled, using its displacement vector output, to the depth-averaged Navier-Stokes equations in generating tsunami waves.<br> <br> When the coupled model was applied and validated to an actual event, simulation results on the Anak Krakatau Flank Collapse show that the model was able to achieve 90.10% accuracy. On the other hand, when the model was applied to a potentially catastrophic scenario on the Northwest Borneo Trough using the calibrated parameters of the validation data, the simulation results suggest that there could be a wave height of 8.76 meters with 23.99 m/s propagating near shorelines of Balabac Island, Palawan; while the tsunami wave run-up height on Brunei and Sabah are likely to be 1.14 meters and 2.18 meters, respectively. Additionally, the model experiments suggest that the coupled model communicates well and is able to provide high percentages of total released energy transferred, 90.56% on Anak Krakatau Flank Collapse simulation and 92.91% on Northwest Borneo Trough simulation.</p>
Data from: Interactions between beech and oak seedlings can modify the effects of hotter droughts and the onset of hydraulic failure
<p><span>Mixing species with contrasting resource use strategies could</span><span> reduce forest vulnerability to extreme events. Yet, how species diversity affects seedling hydraulic responses to heat and drought, including mortality risk, is largely unknown.</span></p> <p><span>Using open-top chambers, </span><span>we assessed how, over several years, species interactions (monocultures vs. mixtures) modulate heat and drought impacts on the hydraulic traits </span><span>of juvenile European beech and pubescent oak. Using modelling, we estimated species interaction effects on timing to drought-induced mortality and the underlying mechanisms driving these impacts. </span></p> <p><span>We show that mixtures mitigate adverse heat and drought impacts for oak (less negative </span><span>leaf water potential, higher stomatal conductance, and delayed stomatal closure) but enhance them for beech (lower water potential and stomatal conductance, narrower leaf safety margins, faster tree mortality). Potential underlying mechanisms include oak's larger canopy and higher </span><span>transpiration</span><span>, allowing for quicker exhaustion of soil water in mixtures.</span></p> <p><span>Our findings highlight that diversity has the potential to alter the effects of extreme events, which would ensure that some species persist even if others remain sensitive. Among the many processes driving diversity effects, differences in canopy size and transpiration associated to the stomatal regulation strategy seem the primary mechanisms driving mortality vulnerability in mixed seedling plantations.</span></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
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.