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6,639 results for “Failure”
Data for low-clay content submarine slope failure flume experiments. Experiment 5% clay 3.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for low-clay content submarine slope failure flume experiments. Experiment 5% clay 2 part 2.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for low-clay content submarine slope failure flume experiments. Experiment 5% clay 5.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for low-clay content submarine slope failure flume experiments. Experiment 5% clay 4 part 2.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for low-clay content submarine slope failure flume experiments. Experiment 5% clay 2 part 1.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for low-clay content submarine slope failure flume experiments. Experiment 5% clay 1.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Data for low-clay content submarine slope failure flume experiments. Experiment 4% clay 3.
<p>These video and photographic data support the following manuscripts:</p><p>Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. </p><p>Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.</p><p>Log sheets are included for each experiment file.</p>
Learning From, Talking About and Reflecting on Data Loss: a Failure Report
<p>Learning From, Talking About and Reflecting on Data Loss: a Failure Report</p> <p>Andrew Harvey</p> <p>Presented 7 October 2022 at the Berlin-Brandenburg Academy of Sciences and Humanities Where Do We Need to Go From Here? Language Documentation and Archiving in the International Decade of Indigenous Languages</p>
Failure to mate enhances investment in behaviors that may promote mating reward and impairs the ability to cope with stressors via a subpopulation of Neuropeptide F receptor neurons
<p><span>Living in dynamic environments such as the social domain, where interaction with others determines the reproductive success of individuals, requires the ability to recognize opportunities to obtain natural rewards and cope with challenges that are associated with achieving them. As such, actions that promote survival and reproduction are reinforced by the brain reward system, whereas coping with the challenges associated with obtaining these rewards is mediated by stress-response pathways, the activation of which can impair health and shorten lifespan. While much research has been devoted to understanding mechanisms underlying the way by which natural rewards are processed by the reward system, less attention has been given to the consequences of failure to obtain a desirable reward. As a model system to study the impact of failure to obtain a natural reward, we used the well-established courtship suppression paradigm in <em>Drosophila</em> <em>melanogaster</em> as means to induce repeated failures to obtain sexual reward in male flies. We discovered that beyond the known reduction in courtship actions caused by interaction with non-receptive females, repeated failures to mate induce a stress response characterized by persistent motivation to obtain the sexual reward, reduced male-male social interaction, and enhanced aggression. This frustrative-like state caused by the conflict between high motivation to obtain sexual reward and the inability to fulfill their mating drive impairs the capacity of rejected males to tolerate stressors such as starvation and oxidative stress. We further show that sensitivity to starvation and enhanced social arousal is mediated by the disinhibition of a small population of neurons that express receptors for the fly homologue of<em> neuropeptide Y</em>. Our findings demonstrate for the first time the existence of social stress in flies and offers a framework to study mechanisms underlying the crosstalk between reward, stress, and reproduction in a simple nervous system that is highly amenable to genetic manipulation.</span></p>
Solution Canvas: Embracing Failure for Innovation
<p>This canvas was collaboratively crafted by three authors to facilitate discussions aimed at fostering constructive learning from failures. Originally conceptualized in 2023, it underwent successful piloting at the 22nd Annual Meeting of The International Society of Behavioral Nutrition and Physical Activity (ISBNPA) in June 2023 during a 'Church of Fail' Dare2Share session. In response to high demand from participants, it is now being publicly shared. Two versions are available: a coloured digital version and a print-ready version optimized for A2 format. It is available in both English and Danish (with thanks to Mathilde Grøn Laursen from Aarhus University for her support in translating it to Danish).<br><br><strong>Step-by-Step Instructions:</strong></p> <ol> <li> <p>Identify key failures and potential Causes: start by filling in the rocks at the bottom of the template with the key failures encountered and their potential causes. </p> </li> <li> <p>Visualize success without failures: move to the top of the template and envision what success would have looked like if no failures occurred. Describe this vision in detail.</p> </li> <li> <p>Determine required resources: proceed downwards and consider the resources necessary to achieve the envisioned success. These can include human, material, financial, time, and other resources.</p> </li> <li> <p>Evaluate what you can control: assess what resources or factors are within your control and outside your control. This includes considering factors such as availability, accessibility, and influence over obtaining these resources.</p> </li> <li> <p>Reflect and learn: reflect on the information gathered from steps 1-4. Consider what lessons can be learned from the failures, resource assessments, and control evaluations. Reflect on how you might approach similar situations differently in the future based on this analysis.</p> </li> </ol> <p><strong>Supportive Materials: </strong></p> <ul> <li>To understand how this template is utilized in a 'Church of Fail' session, watch our ISBNPA promotional video: https://www.youtube.com/watch?v=M0Scj_mbd5U </li> <li>You can also read about the use of this canvas, and some example failures, in our blog post: https://healthcascade.eu/do-you-dare-to-share-your-co-creation-failures/ </li> <li>You can learn more about the 'Church of Fail' method here: https://www.thespeakingcoach.co.uk/the-church-of-fail </li> </ul> <p>For questions or reflections please reach out to the co-authors: Danielle (<a target="_new">danielle.agnello@gcu.ac.uk</a>), Giuliana (<a target="_new">giulianaraffaellal@blanquerna.url.edu</a>), and Lauren (<a target="_new">lauren.mccaffrey@gcu.ac.uk</a>)</p>
Data from: Delayed incubation leads to hatching failure of a Burrowing Owl (Athene cunicularia) nest
<p>Birds face strong selective pressures to complete individual nesting attempts as quickly as possible to minimize exposure of nests to predators and weather, maximize renesting potential, and maximize hatching success. As a result, the duration of developmental periods and overall nest periods are often relatively constant within species. However, birds may sometimes be subject to acute energetic constraints that may preclude them from initiating incubation at the optimal time. We report an extraordinary case of delayed incubation by a female Burrowing Owl (<em>Athene cunicularia</em>) in Oregon, USA, which contrasted sharply with a large sample of nests monitored by motion-activated video cameras in western North America from 2015 to 2018. The focal female delayed incubation by 11 days following clutch completion and subsequently experienced near-total hatching failure of her clutch. This observation corroborates previous experimental studies regarding the limits to egg viability and trade-offs between the timing of incubation onset and hatching success. These findings illustrate the acute trade-offs faced by nesting birds, and the cost of delayed incubation that we observed in this owl could help explain the cause of asynchronous hatching.</p>
Designed for Success or Failure: Differences in funding and rejection in the space of applications to the Danish Art Foundation among craftsmen and designers
<p>This package contains the datasets, R code and the results for the scientific journal article: '<em>Designed for Success or Failure: Differences in funding and rejection in the space of applications to the Danish Art Foundation among craftsmen and designers</em>' published in Poetics.</p> <p>Any traceable microdata which is not publically available have been removed from the dataset.</p>
Systemic Failure of European Fisheries Management
<p>Supporting data, R scripts, and resulting figures for Froese et al. (submitted): Systemic Failure of European Fisheries Management</p> <p> </p> <p>Authors: Rainer Froese 1*, Noa Steiner 2, Eva Papaioannou 1, Liam MacNeil 1, Thorsten Reusch 1, Marco Scotti 1,3 </p> <p>Affiliations: </p> <p>1 GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstraße 1-3, 24148 Kiel, Germany </p> <p>2 Institute of Agricultural Economics, University of Kiel, Olshausenstraße 40, 24118 Kiel, Germany</p> <p>3 Institute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019 Sesto Fiorentino (Firenze), Italy</p> <p>*Corresponding author. Email: rfroese@geomar.de </p>
Dataset of the paper "A Mixed-Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements"
<p>Dataset for the paper "A Mixed-Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements" published in RTAS'22 conference</p>
Raw Data or the article: Physiopathology and Diagnosis of Congestive Heart Failure: Consolidated Certainties and New Perspectives
<p>Volume overload and fluid congestion are a fundamental issue in the assessment and management of patients with heart failure (HF). Recent studies have found that in acute decompensated heart failure (ADHF), right and left-sided pressures generally start to increase before any notable weight changes take place preceding an admission. ADHF may be a problem of volume redistribution among different vascular compartments instead of, or in addition to, fluid shift from the interstitial compartment. Thus, identifying heterogeneity of volume overload would allow guidance of tailored therapy. A comprehensive evaluation of congestive HF needs to take into account myriad parameters, including physical examination, echocardiographic values, and biomarker serum changes. Furthermore, potentially useful diagnostic tools include bioimpedance to measure intercompartmental fluid shifts, and evaluation of ultrasound lung comets to detect extravascular lung water.</p>
Coseismic folding during ramp failure at the front of the Sulaiman fold-and-thrust belt
<p>It contains the datasets related to "Coseismic folding during ramp failure at the front of the Sulaiman fold-and-thrust belt".</p>
Failure and deformation characteristics of shale under true triaxial stress loading and unloading under water retention and seepage
<p class="MsoNormal"><span>A multifunctional true triaxial fluid-structure coupling system was used to conduct water retention and seepage tests of shale under true triaxial loading and unloading stress paths. The stress-strain evolution law of shale specimens under different experimental conditions was obtained, and the corresponding deformation and strength law was analyzed. The evolution law and failure characteristics of cracks in shale were obtained by CT scanning images before and after the experiment. The results show that under the condition of water retention, the volumetric strain of shale specimen increases first, then decreases and finally continues to increase with the increase of deviational stress, indicating that the volumetric change has experienced a process of compaction-expansion-compacting. The partial stress-maximum horizontal strain curve of the sample increases first and then decreases, while the deformation of the sample in the direction of intermediate principal stress shows the characteristics of repeated compression and expansion. In the seepage test, the permeability - maximum horizontal strain curve can be divided into two parts before and after fracture according to the deviant stress - maximum horizontal strain curve. Before fracture, the compression velocity of the specimen in the loading direction exceeds the expansion velocity <span>in the unloading direction, resulting in a decrease in volume and a decrease in permeability. With the increase of deviatoric stress, cracks occur inside the particles and continue to spread from the tip until the cracks break through the shale specimen. In this process, the pore fissure area increases and the permeability of the sample increases rapidly. In terms of fractur</span>e evolution, for the water-retaining test, dense tensile and shear cracks appear on the failure plane perpendicular to the direction of maximum and minimum principal stress, and complex shear fracture network appears on the failure plane perpendicular to the direction of intermediate principal stress. For the seepage test, heavy shear failure occurs throughout the original fracture of the sample. With the increase of the penetration depth, the crack shape on the failure surface perpendicular to the direction of intermediate principal stress gradually changes from single type to complex type.</span></p>
Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems
<p>These are the datasets for our ESEC/FSE'22 paper "Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems." In each dataset, <code>graph.yml </code>or <code>graphs/*.yml</code> are FDGs, <code>metrics.csv</code> is metrics, and <code>faults.csv</code> is failures (including ground truths).<code>FDG.pkl</code> is a pickle of the FDG object, which contains all the above data. Note that the pickle files are not compatible in different Python and Pandas versions. So if you cannot load the pickles, just ignore and delete them. They are only used to speed up data load.</p> <p>See more at https://github.com/NetManAIOps/DejaVu</p>
Artifact: Reflecting on Recurring Failures in IoT Development
<p>Artifact for Reflecting on Recurring Failures in IoT Development</p>
Mechanisms of the Non-uniform Breach Morphology Evolution of Landslide Dams Composed of Unconsolidated Sediments During Overtopping Failure
<p>Data that can be used to replicate and validate the results presented here are available through the upload file.</p> <p>Data access will be available upon request prior to official publication of this work.</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.