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30 results for “Damage detection”
Database of measurements for damage detection of steel beam splice connection by Coaxial Correlation Method in 6-D space
<p>This database includes series of measurements of the structure's response taken in six-dimensional space using two 6D sensors, coaxially positioned on either side of the investigated splice connection between two steel beams. The data set consists of two parts. The first part of the data set is measurements for six different specimens with wave type impact – short sweep signal with duration 0.05 s. The second part is the measurements during splice connection degradation of one of the specimens with short impulse. The degradation of a connection is presented by four different states of joints. In the "<strong>Read_me_first.pdf</strong>" is described the experiment, the format of .csv files names and files' structure.</p><p>Used materials, methods and results for the second part of the data set is described in Buka-Vaivade, K.; Kurtenoks, V.; Serdjuks, D. Non-Destructive Damage Detection of Structural Joint by Coaxial Correlation Method in 6D Space. <i>Buildings</i> <strong>2023</strong>, <i>13</i>, 1151. https://doi.org/10.3390/buildings13051151</p>
Database of measurements for damage detection of steel beam splice connections by Coaxial Correlation Method in 6-D space
<p>This database includes series of measurements of the structure's response taken in six-dimensional space using two 6D sensors, coaxially positioned on either side of the investigated splice connection between two steel beams. The data set consists of measurements for six different specimens with two types of impact – sweep signal with duration 0.5 s and short impulse, during degradation of the splice connections realised by unbolting the bolts in the connections. In the "<strong>Read_me_first.pdf</strong>" is described the experiment, the format of .csv files names and files' structure.</p><p>This database is a continuation of the database Kurtenoks, V., Buka-Vaivade, K., Serdjuks, D., Lapkovskis, V., Mironovs, V., & Podkoritovs, A. (2023). Database of measurements for damage detection of steel beam splice connection by Coaxial Correlation Method in 6-D space (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10077332<br>Suggested by authors data post-processing is described in Buka-Vaivade, K.; Kurtenoks, V.; Serdjuks, D. Non-Destructive Damage Detection of Structural Joint by Coaxial Correlation Method in 6D Space. <i>Buildings</i> <strong>2023</strong>, <i>13</i>, 1151. https://doi.org/10.3390/buildings13051151</p>
Database of measurements for damage detection of T-type timber structural joint by Coaxial Correlation Method in 6-D space
<p>This database includes series of measurements of the structure's response taken in six-dimensional space using two 6D sensors, coaxially positioned on either side of the investigated joint between two timber beams connected at an angle of 90⁰. Presented data related to seven different states of joints, five load levels, and two type of input signal (short impulse and sweep signal with duration 0.5 seconds). In the "<strong>Read_me_first.pdf</strong>" is described the experiment, the format of .csv files names and files' structure.</p>
Database of measurements for damage detection of panel-to-panel moment joints in timber structures by Coaxial Correlation Method
<p>This database includes series of measurements of the structure's response taken in six-dimensional space using two 6D sensors, coaxially positioned in two different ways on either side of the investigated panel-to-panel connection. Presented data related to ten different states of joints, two load levels, and two type of input signal (short impulse and sweep signal with duration 0.5 seconds with frequency range from 10 Hz to 2000 Hz). In the "<strong>Read_me_first.pdf</strong>" is described the experiment, the format of .csv files names and files' structure.</p><p>Used materials, methods and results for the case of static load equal to 151.8 kg with sweep-type input signal, and T2 scheme of sensors placement is described in Kurtenoks, V.; Kurajevs, A.; Buka-Vaivade, K.; Serdjuks, D.; Lapkovskis, V.; Mironovs, V.; Podkoritovs, A.; Vilnitis, M. The Quality Assessment of Timber Structural Joints Using the Coaxial Correlation Method. <i>Buildings</i> <strong>2023</strong>, <i>13</i>, 1929. https://doi.org/10.3390/buildings13081929</p>
Supramolecular Self-Healing Sensor Fiber Composites for Damage Detection in Piezoresistive Electronic Skin for Soft Robots
<p>Self-healing materials can prolong the lifetime of structures and products by enabling the repairing of damage. However, detecting the damage and the progress of the healing process remains an important issue. In this study, self-healing, piezoresistive strain sensor fibers (ShSFs) are used for detecting strain deformation and damage in a self-healing elastomeric matrix. The ShSFs were embedded in the self-healing matrix for the development of self-healing sensor fiber composites (ShSFC) with elongation at break values of up to 100%. A quadruple hydrogen-bonded supramolecular elastomer was used as a matrix material. The ShSFCs exhibited a reproducible and monotonic response. The ShSFCs were investigated for use as sensorized electronic skin on 3D-printed soft robotic modules, such as bending actuators. Depending on the bending actuator module, the electronic skin was loaded under either compression (pneumatic-based module) or tension (tendon-based module). In both configurations, the ShSFs could be successfully used as deformation sensors, and in addition, detect the presence of damage based on the sensor signal drift. The sensor under tension showed better recovery of the signal after healing, and smaller signal relaxation. Even with the complete severing of the fiber, the piezoresistive properties returned after the healing, but in that case, thermal heat treatment was required. With their resilient response and self-healing properties, the supramolecular fiber composites can be used for the next generation of soft robotic modules</p>
UAV-based imagery for road damage detection
<p>This dataset contains a set of annotated examples of damage present to the road, obtained via an UAV in Poznań, Poland. The imagery was obtained by flying a UAV over a set of roads at approximately 70m above ground level, and further creating an ortophotomosaics of three different pieces of road. Lastly, the ortophotomosaics were patched into non-overlapping patches of 512x512 pixel size, and each patch was manually labeled with a set of objects and classes proposed in the UAPD dataset (https://doi.org/10.1016/j.autcon.2021.103991, https://github.com/tantantetetao/UAPD-Pavement-Distress-Dataset).</p> <p>Patches without a significant presence of the road-like objects were discarded, and the data includes:</p> <ul> <li>ortophotomosaics -- a set of three original ortophotomosaics with ground sampling distance of 2.54 cm/pixel in .tif format,</li> <li>labeled patches -- a set of 99 patches containing road with annotations in both PASCAL VOC (.xml) and YOLO (.txt) formats</li> </ul> <p>Lastly, this data has been used as a holdout set in a Master's thesis conducted at Poznań University of Technology.</p>
Database of measurements for damage detection of T-type steel structural joint by Coaxial Correlation Method in 6-D space
<p>This database includes series of measurements of the structure’s response taken in six-dimensional space using two 6D sensors, coaxially positioned on either side of the investigated joint between two steel beams connected at an angle of 90⁰. Presented data related to five different states of joints, seven load levels, two placements of used electrodynamic actuators and two type of input signal (short impulse and sweep signal with duration 0.5 seconds). In the “<strong>Read_me_first.pdf</strong>” is described the experiment, the format of .csv files names and files’ structure.</p>
MRI in Detecting Heart Damage in Patients With Cancer Receiving Chemotherapy With Exercise Capacity Addendum
ClinicalTrials.gov study NCT01719562. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Data from crosstalk in DAQ-based measurement platforms for structural health monitoring: Effects on damage detection and mitigation methods
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Data from: Detecting damage in composites using volume decomposition analysis of tomographic data
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MADDD-seq, a novel massively parallel sequencing tool for simultaneous detection of DNA damage and mutations
<p>The file "data.tar" contains the output of the MADDD-seq pipepline. There is one sub-folder per sample. For each sample, the most important files are:</p> <ul> <li>max_variants_2.adduct.gtf : A GTF file with the location (and details) about each adduct called by the pipepline</li> <li>max_variants_2.DSC.vcf.gz : A VCF (Variant Call File) with information about mutations called.</li> <li>coverage.rds : pre-computed coverage information in binary format to be loaded in R.</li> </ul> <p>To analyze this data, use the following R files: adducts.R, mutations.R and jason-function-2022-04.R</p> <p> </p> <p>The file "kallisto-h5.tar" contains the output of running Kallisto on the regular RNAseq data (for expression level analysis). To analyze this data, use the following R files: Yeast-MNNG-MGT.Rmd and myDESeq2.R</p> <p> </p> <p>The source code of the R files will need to be modified to point at the location of files on the computer being used. These modifications are pointed by comments in the code and are located towards the start of each file.</p>
Early Detection of Glycocalyx Damage in Emergency Room Patients
ClinicalTrials.gov study NCT03126032. IPD Sharing: NO. Countries: 1. Publications: 0.
Early Detection of Cardiac Damage by Two-Dimensional Speckle Tracking Echocardiography After Thoracic Radiation Therapy
ClinicalTrials.gov study NCT04443400. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Non-Invasive Aortic Ambulatory Blood Pressure Monitoring for The Detection of Target Organ Damage in The Chinese Population
ClinicalTrials.gov study NCT03154203. IPD Sharing: Not stated. Countries: 1. Publications: 3.
EFFICIENT GENERATION OF RECEIVER OPERATING CHARACTERISTICS FOR THE EVALUATION OF DAMAGE DETECTION IN PRACTICAL STRUCTURAL HEALTH MONITORING APPLICATIONS
<p>Experimentally measured guided wave signal on a pipe over temperature cycles, used in the paper to construct synthetic datasets to evaluate performance of damage detection methods.</p>
Data supporting: Multiple input tangential interpolation-driven damage detection of a jet trainer aircraft
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Magnetic Resonance Imaging to Detect Brain Damage in Patients With Multiple Sclerosis
ClinicalTrials.gov study NCT00393588. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Magnetic Resonance Imaging to Detect Brain Damage in Patients With Multiple Sclerosis
ClinicalTrials.gov study NCT00321568. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Magnetic Resonance Imaging to Detect Brain Damage in Patients With Multiple Sclerosis
ClinicalTrials.gov study NCT00099307. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Genomic DNA damage in oral potentially malignant disorders (OPMDs) and oral squamous cell carcinomas (OSCCs). Early detection of DNA aneuploidy and chromosomal aberrations in non dysplastic OPMDs.
GEO Series GSE66136. Homo sapiens. 151 samples. Type: Genome variation profiling by genome tiling array.
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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.