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1,890 results for “Defects”
Tyre defect data set
<p>Data descriptor information</p> <p>1.Data source</p> <p>This tyre defect X-ray dataset comes from the open dataset of Shanghai University Network Control Centre. The original link to the dataset is below: https://aistudio.baidu.com/datasetdetail/215731</p> <p> </p> <p>2. Data content and structure</p> <p>There are 1142 training set images, 382 validation set images and 381 test set images in this dataset. The resolution of each image is 480x480 pixels. The data is stored in JPG format.</p> <p> </p> <p>3. Data labelling and tagging</p> <p>Each image contains an annotation file in TXT format, which records the location and type of defects, including four types of defects: "open", "cord_defects", "impurity", and "belt_cuobian".</p> <p> </p> <p>4. Description of data use</p> <p>The dataset is mainly used for the study of tyre defect detection, especially for defects containing elongated features. Due to the characteristics of the dataset, it may not be suitable for other types of image detection tasks.</p>
Data for: The role of the exact Hartree-Fock exchange in the investigation of defects in crystalline systems.
<p>Input/Output files for CRYSTAL code of VH1 defects in diamond.</p> <p>File names describe spin states: (d) - doublet, (q) - quadruplet; and XC functional. For PBE functional number states the % of Fock exact exchange.</p>
Code and data for Oxygen dimerization as a defect-driven process in bulk LiNiO2
<p>Data and code required to generate figures in the article "Oxygen dimerization as a defect-driven process in bulk LiNiO2".<br><br>Available as a preprint at 10.26434/chemrxiv-2024-lcmk</p>
Requirement Set with Defects
<p>Demonstration requirement set with defects to show case ROOT's health checks.</p>
Dataset for: Phonon engineering of atomic-scale defects in superconducting quantum circuits
<p>Dataset for manuscript [Phonon engineering of atomic-scale defects in superconducting quantum circuits]<br>After unzipping, this folder contains all data necessary to evaluate the conclusions presented in the paper. A detailed description can be found in the README.md file after unzipping.</p>
IVD-SEG:Standardized Datasets for Industrial Vision Defect Segmentation
<h1> </h1> <h1>Code[<a href="https://github.com/KLIVIS/IVD-SEG">Github</a>]</h1> <h1>abstract</h1> <p>We introduce IVD-SEG, a dataset encompassing defect images from 43 different industrial products, totaling 5686 images, spanning tasks that include binary and multiclass segmentation. Within IVD-SEG, we meticulously propose 12 sub-datasets, including two newly developed datasets by our team. Serving as a large-scale standardized industrial defect image dataset, all images are unified to a 256 × 256 size, accompanied by semantic segmentation annotations. This standardization facilitates users unfamiliar with industrial product defects to utilize the dataset, allowing them to focus on exploring algorithmic performance on the IVD-SEG dataset. To our knowledge, the dataset we propose is currently the most comprehensive and voluminous compilation of industrial defect images, thereby contributing to the advancement of relevant research in industrial image analysis. Simultaneously, our dataset supports research and education in various fields, including computer vision and machine learning. We conducted benchmark tests on IVD-SEG using several baseline methods, including representative CNN and ViT networks.<br><br></p>
Epithelial restitution defect in neonatal jejunum is rescued by juvenile mucosal homogenate in a pig model of intestinal ischemic injury and repair, Supporting Data Files
<p>Supporting data for PLOS One 2018 manuscript PONE-S-18-23597</p>
The replication page for paper: Revisiting Supervised and Unsupervised Models for Effort-Aware Just-in-Time Defect Prediction
<p>The replication page for the paper submitted to EMSE: Revisiting Supervised and Unsupervised Models for Effort-Aware Just-in-Time Defect Prediction.</p> <p>There are four java files in the package named "model". Each file corresponds to one specific model (CBS and CBS+ are in the same file). Each file has a main function and you will get the experiment results when running the main function.</p> <p> </p>
Data Supporting Defect segregation facilitates oxygen transport at fluorite UO2 grain boundaries
<p>Data support article accepted for publication in Philosophical Transactions A. Data includes inputs and outputs for molecular dynamics simulations. Where impractical simulations can be rerun from the inputs provided.</p>
Data for "Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes"
<p>Simulated data used in the paper "Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes" by Daniele Zago, Bianca Maria Colosimo, and Giovanna Capizzi.</p> <p>The files includes MATLAB code used to generate the simulated noisy meshes.</p>
Atomistic potential descriptors and structures of defected water and silicon systems
<p>Supportive material to manuscript: Unsupervised identification of crystal defects from atomistic potential descriptors<br><br>Descriptors files have format:<br>#AtomIndex #StructureIndex #Descriptors1 #Descriptors2 #Descriptors3 ... </p>
Experimental data used in the article entitled "Tuning the defects density in additively manufactured fcc aluminium alloy via modifying the cellular structure and post-processing deformation"
Open the record for dataset details and reuse information.
Experimental data used in the article entitled "Electron Microscopy Study of Structural Defects Formed in Additively Manufactured AlSi10Mg Alloy Processed by Equal Channel Angular Pressing"
Open the record for dataset details and reuse information.
Supporting Data and Code for "From Qutrit Toric Code to Parafermion Defects in Trapped Ions"
<ul> <li>Code for Quantum Circuit Construction, Submission, and Data Analysis.</li> <li>Raw Experimental Data from Quantinuum H2</li> </ul> <p>To use the codebase, navigate to the z3/ directory and then run <code>pip install -r requirements.txt</code><br>To generate all the plots/data run main.ipynb</p>
2D image dataset for the presence or absence of aesthetical defects on EV battery welds.
<p>A 2D image dataset of EV car battery welds is used to train AI/ML models on weld classification for quality inspection applications or other purposes.</p> <p> </p> <p>Includes 1 zip file with 61,670 greyscale images of 409x40 resolution split in</p> <ul> <li>training set [ 43,169 images]</li> <li>validation set [ 9,250 images]</li> <li>testing set [ 9,251 images]</li> </ul> <p> </p> <p>and the following 2 classes:</p> <p>1] OK --> indicating the absence of aesthetical defects</p> <p>2] KO --> indicating the presense of aesthetical defects</p>
"The current-voltage characteristics and partial pressure dependence of defect controlled electrochemical reactions on mixed conducting oxides"
<p>Oxygen exchange reaction rates on mixed conducting perovskite electrodes are described as a function of defect concentrations, see <a href="http://elchinfo.cta.tuwien.ac.at/pmwiki/uploads/Profiles/Schmid_JESoc.pdf">The current-voltage characteristics and partial pressure dependence of defect controlled electrochemical reactions on mixed conducting oxides</a> for a detailed description.</p> <p>Here, (exchange) currents, polarization resistances, <span class="math-tex">\(p_{\rm{O_2}}\)</span> dependencies and Tafel-slopes are calculated as function of <span class="math-tex">\(p_{\rm{O_2}}\)</span> and overpotential for different possible reaction mechnisms. The defect concentrations are taken from the model material La<sub>0.6</sub>Sr<sub>0.4</sub>FeO<sub>3-<span class="math-tex">\(\delta\)</span></sub>, and listed in Brouwer_Bias.csv as a function of <span class="math-tex">\(p_{\rm{O_2}}\)</span> and overpotential.</p> <p>Model 7 describes a molecular mechanisms wothout adsorption limitation, model 8 includes adsorption limitation. Likewise Models 10 and 11 describe atomic mechanisms without and with adsorption limitation, respectively.</p> <p>Overpotentials are listed in V, oxygen partial pressures in bar, defect concentrations in defects per unit cell and currents are in arbitrary units as are resistances.</p> <p>Partial pressure and overpotential dependencies (p and n slopes) are given as <span class="math-tex">\(\frac{\partial \ln j}{\partial\ln p_{\rm{O_2}}}\)</span>(unitless) and <span class="math-tex">\(\frac{\partial \ln j}{\partial\eta}\)</span>(/V), and likewise with resistances instead of currents (rp and rn slopes), respectively.</p> <p>The source code for this project is available at: https://github.com/AlexSchmid22191/EIS_R_Sim</p>
Sporadic pseudohypoparathyroidism type 1B in monozygotic twins: insights into the pathogenesis of methylation defects
<p>Context: Sporadic pseudohypoparathyroidism type 1B (sporPHP1B) is an imprinting disease without a defined genetic cause, characterized by broad methylation changes in differentially methylated regions (DMRs) of the <i>GNAS</i> gene.</p> <p>Objective: This work aims to provide insights into the causative event leading to the <i>GNAS</i> methylation defects through comprehensive molecular genetic analyses of a pair of female monozygotic twins concordant for sporPHP1B who were conceived naturally i.e., without assisted reproductive techniques.</p> <p>Methods: Using the leukocyte genome of the twins and family members, we performed targeted bisulfite sequencing, methylation-sensitive restriction enzyme (MSRE)-qPCR, whole-genome sequencing (WGS), high-density SNP array, and Sanger sequencing.</p> <p>Results: Methylation analyses by targeted bisulfite sequencing and MSRE-qPCR revealed almost complete loss of methylation at the <i>GNAS</i> AS, XL, and A/B DMRs and gain of methylation at the NESP55 DMR in the twins, but not in other family members. Except for the <i>GNAS</i> locus, we did not find apparent methylation defects at other imprinted genome loci of the twins. WGS, SNP array, and Sanger sequencing did not detect the previously described genetic defects associated with familial PHP1B. Sanger sequencing also ruled out any novel genetic alterations in the entire NESP55/AS region. However, the analysis of 28 consecutive SNPs could not exclude the possibility of paternal heterodisomy in a span of 22 kb comprising exon NESP55 and AS exon 5.</p> <p>Conclusion: Our comprehensive analysis of a pair of monozygotic twins with sporPHP1B ruled out all previously described genetic causes. Twin concordance indicates that the causative event was an imprinting error earlier than the timing of monozygotic twinning.</p>
Combined temperature and potential induced defect steering for local doping control in Cu2ZnSnSe4
<p>Data of publication submitted to Materials Today: Physics "Combined temperature and potential induced defect steering for local doping control in Cu2ZnSnSe4". Processed data is included in .opju files.</p>
Hedgehog induced oxidative phosphorylation rescues the neuronal differentiation defect of human enteric neural crest cells underlying Hirschsprung disease
<p>Hedgehog induced oxidative phosphorylation rescues the neuronal differentiation defect of human enteric neural crest cells underlying Hirschsprung disease</p>
Documentation defects
<p>A data set containing 101 defects classified according to a taxonomy.</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.