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Dataset results
109 results for “Inspection”
Test data for Galaxy IUC Seurat Inspect & Manipulate Tool (Merge)
Open the record for dataset details and reuse information.
Target search and inspection strategies in haptic search
<p>Haptic search is a common everyday task, usually consisting of two processes: target search and target analysis. During target search we need to know where our fingers are in space, remember the already completed path and the outline of the remaining space. During target analysis we need to understand whether the detected potential target is the desired one. Here we characterized dynamics of exploratory movements in these two processes. In our experiments participants searched for a particular configuration of symbols on a rectangular tactile display. We observed that participants preferentially moved the hand parallel to the edges of the tactile display during target<br> search, which possibly eased orientation within the search space. After a potential target was detected by any of the fingers, there was higher probability that subsequent exploration was performed by the index or the middle finger. At the same time, these fingers dramatically slowed down. Being in contact with the potential target, the index and the middle finger moved within a smaller area than the other fingers, which rather seemed to move away to leave them space. These results suggest that the middle and the index finger are specialized for fine analysis in haptic search.</p> <p> </p> <p>The zip file contains all data relative to the publication. The structure of the data of all experiments is described in the README file.</p>
A Scalable Data Management System Data Model facilitating the integration of any inspection system and the automated data digitalization process.
<p>In the context of the EU-funded project PILOTING (No. 871542), a scalable Data Management System (DMS) was deployed and facilitated the easy integration of nine different robotic systems and various payloads and the storing of all the data observations produced during the inspections. In particular, a three-phase methodology was adopted for the creation of the DMS Data Model (DMS-DM) in order to define the architectural design of the DMS. <br> The first phase was to semantically define the entities of the PILOTING ecosystem, identifying assets and activities that were important to the data providers, and including them in the data model design. The second phase was to identify relationships between the entities, focusing on information that must pre-exist for entities to be semantically accurate, hierarchies between entities, especially physical assets, and the data needed to form the inspection plan. For the third phase, the information collected by the previous two stages of the data model construction was used to create the overall data model, taking into consideration the possible integration with third parties and the needs of the I&M Visualization portal. <br> The constructed document is attempted to present the designed Entity-Relationship-Diagram (ERD) of the DMS-DM. Additional definitions of the existing entities and the relations between them are also depicted. </p>
Datasets-Effects of the test aerosol on the performance of periodic technical inspection particle counters
<p>Datasets related to the peer-reviewed publication "Effects of the test aerosol on the performance of periodic technical<br> inspection particle counters" (<a href="https://doi.org/10.1016/j.jaerosci.2023.106182">https://doi.org/10.1016/j.jaerosci.2023.106182</a>)</p>
Impacts of Inspection During Instrument Insertion on Colonoscopy Quality
ClinicalTrials.gov study NCT03444090. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effects of External Inspection on Sepsis Detection and Treatment
ClinicalTrials.gov study NCT02747121. IPD Sharing: NO. Countries: 1. Publications: 21.
A shrewd inspection of vertebral regionalization in large shrews (Soricidae: Crocidurinae)
Open the record for dataset details and reuse information.
South Florida cavity nest webs: nest inspection data, photographs, and videos
Open the record for dataset details and reuse information.
Possibility of bridge inspection through drive-by vehicles
<p class="midium"><span><span><span>Based on virtual simulations of vehicle-bridge interactions, the possibility of detecting stiffness reduction damages in bridges through vehicle responses has been tested in two dimensional (2D) and three dimensional (3D) settings. Short Time Fourier Transformation (STFT) has been used to process the acceleration data of vehicles. The energy band variation was found strongly related to damage parameters. More important, initial entering conditions of vehicles are critical in obtaining vehicle responses through the vehicle bridge interaction models. Through different levels of road profile roughness, the offset distance needed before executing the vehicle-bridge interaction (VBI) modeling is obtained.</span></span></span></p>
Positive/negative co-evolution samples with manual inspection results
<p><a href="https://zenodo.org/api/files/40580848-f439-4792-bb80-4681cabe81dd/dubbo_coevo_patches.txt">dubbo_coevo_patches.txt </a><br> Co-evolution patches in Duboo.<br> <br> <a href="https://zenodo.org/api/files/40580848-f439-4792-bb80-4681cabe81dd/kafka_coevo_patches.txt">kafka_coevo_patches.txt </a><br> Co-evolution patches in Kafka.</p> <p><a href="https://zenodo.org/api/files/74c28761-3ac1-4ee6-9782-b83ac008c098/negative-findings.xlsx">negative-findings.xlsx </a><br> Inspecting results of negative samples<br> <br> <a href="https://zenodo.org/api/files/74c28761-3ac1-4ee6-9782-b83ac008c098/negative.zip">negative.zip </a><br> Negative sample patches (not co-evolved in 20 days)<br> <br> <a href="https://zenodo.org/api/files/74c28761-3ac1-4ee6-9782-b83ac008c098/positive-findings.xlsx">positive-findings.xlsx </a><br> Inspecting results of positive samples<br> <br> <a href="https://zenodo.org/api/files/74c28761-3ac1-4ee6-9782-b83ac008c098/positive.zip">positive.zip </a><br> Positive sample patches (co-evolved in 2 days)</p> <p> </p> <p><strong>NOTE</strong><br> The item order in _coevo_patches.txt is: proj type prod_sha1 test_sha1 prod_path test_path.<br> The excel data is sorted in "natural sorting" algorithm, the default sorting algorithm in Windows file explorer.<br> It is recommended to use VS Code to browse the patch files.</p>
TINKER_WP5_NIL images of stamp inspection_070521
<p>This dataset folder contains images of the NIL stamp which are used for stamp inspection.</p>
Repository for the paper "Stability of the Jupiter southern polar vortices inspected through vorticity using Juno/JIRAM data"
<p>This repository contains all the *img and *lbl files that have been used in the analysis reported in "Stability of the Jupiter southern polar vortices inspected through vorticity using Juno/JIRAM data". Please see the text for details. </p>
The full results (including p-values, tests statistics, and degrees of freedom where appropriate) are available as supplementary material for inspection.
<p>The full results (including <em>p</em>-values, tests statistics, and degrees of freedom where appropriate) are available as supplementary material for inspection.</p>
Cooperative UAVs as a Tool for Aerial Inspection of the Aging Infrastructure
<p>This video shows the cooperative UAVs as a tool for aerial inspection of the aging infrastructure. In the presented approach the UAVs are relying only on their onboard computer and sensory system, deployed for inspection of the 3D structure. In this application each agent covers a different part of the scene autonomously, while avoiding collisions. The visual information collected from the aerial team is collaboratively processed to create the 3D model.</p>
AI-BASED INSPECTION OF RECYCLED CARBON FIBRE FABRIC CLEAN SAMPLES
<p>This dataset consists of different non defective samples of carbon fibers. The defective samples and their classes for these carbon fiber types are give <a href="../records/11203952">here</a>. </p> <p>cleandataset_samples.pkl - It is a pickle file. This contains the dataset for clean samples. Since these are non defective samples there are no class labels. This dataset consists of approximately 10 samples per carbon fiber matrix type. </p> <p>load_cleandata.py - This is the sample code to load the data. Explanation to the shapes and the structure of the data are present here.</p> <p>The dataset presented has received funding from the European Union’s Horizon Europe research and innovation program under grant agreement No 101057394. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.</p>
Supplementary material 1 from: Clarke S, Stenekes N, Kancans R, Woodland C, Robinson A (2018) Undelivered risk: A counter-factual analysis of the biosecurity risk avoided by inspecting international mail articles. NeoBiota 40: 73-86. https://doi.org/10.3897/neobiota.40.28840
Variogram of the residuals of the random forest model : Explanation note: A variogram designed to visually assess whether there is spatial correlation present in the residuals of the random forest model. This does not indicate any spatial correlation.
Data for "Nonagenarian men and women in Switzerland at the end of the 19th century: Inspecting verified outliers at the top end of the historical age distribution"
<p>Datasets underlying the analysis of the paper: "Nonagenarian men and women in Switzerland at the end of the 19th century: Inspecting verified outliers at the top end of the historical age distribution"</p> <ul> <li><strong>Data_1888_1900.xlsx</strong> : Individual data of persons aged 90 and older from the 1888 and 1900 censuses</li> <li><strong>Cofactors.xlsx</strong> : Ecological co-factors for each Swiss district</li> </ul>
Spot_fare_Inspections_Experiments
<p>In this repository you will find the data and codes used for all the experiments, generation of tables and graphs of the publication and .</p>
Dataset for damage-augmented digital twins towards the automated inspection of buildings
<p>This repository contains the dataset used for computing damage augmented digital twins for buildings via image-based approach. The method that uses this data set was presented in the paper "Damage-augmented digital twins towards the automated inspection of buildings" by Pantoja-Rosero et., al. (2023)" https://doi.org/10.1016/j.autcon.2023.104842</p> <p> </p> <p> </p> <p> </p>
Visual inspection of the coagulation of the CS-PRP-FIIa biomaterial rehydrated in sheep PRP
<p>This video shows the coagulation of the CS-PRP-FIIa biomaterial rehydrated in sheep PRP when placed in a plastic weighing boat. The video shows the coagulation state after 0, 2.5 and 5 minutes for the 4 analyzed thrombin concentrations (0, 0.25, 0.5 and 1.0 NIH/mL).</p>
ScienceDex guides
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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.