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37
datasets available to search
ShareScore release 0.9.0
Dataset results
37 results for “Automated Software”
Data from: Animal Sound Identifier (ASI): software for automated identification of vocal animals
Open the record for dataset details and reuse information.
Data from "SynBot: An open-source image analysis software for automated quantification of synapses"
<p>Primary image datasets and associated tables from the paper "SynBot: An open-source image analysis software for automated quantification of synapses". </p>
Dataset of bugs in automated driving softwares
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Are automated static analysis tools worth it? An investigation into relative warning density and external software quality on the example of Apache open source projects
<p>This is the dataset for the publication "Are automated static analysis tools worth it? An investigation into relative warning density and external software quality on the example of Apache open source projects".</p> <p>It contains just-in-time defect-prediction style data in jit_data2.tar.gz as well as warnings generated by PMD 6.31.0 in warnings_data3.tar.gz.</p> <p>Further information and scripts for generating the plots and tables can be found in the <a href="https://github.com/atrautsch/emse2021a_replication">replication kit</a>.</p>
Efficacy and Safety of AEYE-DS Software Device for Automated Detection of Diabetic Retinopathy From Digital Fundus Images
ClinicalTrials.gov study NCT04612868. IPD Sharing: Not stated. Countries: 1. Publications: 0.
[Dataset] Minecraft: Automated Mining of Software Bug Fixes with Precise Code Context
<p>Repository mining of bug fixes from version control systems like GitHub is a challenging problem as far as the precision of the bug context is concerned before and after the fix. Coupled with this, identification of the type of the bug fix goes a long way towards creating high quality datasets that can be used for several downstream tasks. However, existing bug fix datasets suffer from the following limitations that dilute the data quality. Firstly, they do not focus on multilingual projects in their entirety given that most open-source projects are now multilingual. Secondly, the granularity of the bug fixes are considered only at the function/method level without specifying line/statement level information. Thirdly, bug fixes lying within the scope of a source file but outside any of its constituent functions have not been examined. In this paper, we propose a solution to overcome the aforementioned limitations by introducing a novel and extensive dataset named Minecraft. With a size of 28.8GB (considering 416 GitHub projects encompassing programming languages such as C, C++, Java, and Python, 2.2M commits, 3.29M bug-fix pairs), Minecraft surpasses the existing datasets by 4-fold enlargement in terms of data availability. We believe Minecraft would serve as a valuable resource for various stakeholders in the software development and research communities, empowering them to improve software quality, develop innovative bug detection and auto-fix techniques, and<br> advance the field of software engineering.<br> </p>
Evaluation of a Novel Non-Invasive Automated Fractional Flow Reserve Software System in Patients With Coronary Artery Disease
ClinicalTrials.gov study NCT06183294. IPD Sharing: NO. Countries: 1. Publications: 0.
Accuracy of the LiverVision® Semi-automated Liver Volumetry Software
ClinicalTrials.gov study NCT03766633. IPD Sharing: NO. Countries: 3. Publications: 0.
Efficacy and Safety of AEYE-DS Software Device for Automated Detection of Diabetic Retinopathy From Digital Funduscopic Images
ClinicalTrials.gov study NCT05857943. IPD Sharing: NO. Countries: 1. Publications: 0.
Validation and Feasibility in Clinical Practice and Concordance of an Automated System Coupling an RGB-D Camera and a Software Based on Artificial Intelligence for the Measurement of Shoulder Range of
ClinicalTrials.gov study NCT05292157. IPD Sharing: NO. Countries: 1. Publications: 0.
UK Validation of the Automated "AcceXible" Speech Analysis Software
ClinicalTrials.gov study NCT05534958. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Pharmacological validation of the pre-pulse inhibition of startle response in larval zebrafish using a commercial automated system and software
<p>Measurements for plexiglass custom made plate</p>
Implementation and Validation of Telemedicine Software for the Automation of MRI Examinations of Acute Myocardial Infarctions
ClinicalTrials.gov study NCT03601481. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Dataset related to the article "Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population"
<p>This record contains raw data related to the article “Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population”</p> <p>Abstract</p> <p>We aimed to evaluate the feasibility and accuracy of machine learning-based automated dynamic quantification of left ventricular (LV) and left atrial (LA) volumes in an unselected population. We enrolled 600 unselected patients (12% in atrial fibrillation) clinically referred for transthoracic echocardiography (2DTTE), who also underwent 3D echocardiography (3DE) imaging. LV ejection fraction (EF), LV, and LA volumes were obtained from 2D images; 3D images were analyzed using dynamic heart model (DHM) software (Philips) resulting in LV and LA volume-time curves. A subgroup of 140 patients also underwent cardiac magnetic resonance (CMR) imaging. Average time of analysis, feasibility, and image quality were recorded, and results were compared between 2DTTE, DHM, and CMR. The use of DHM was feasible in 522/600 cases (87%). When feasible, the boundary position was considered accurate in 335/522 patients (64%), while major (n = 38) or minor (n = 149) border corrections were needed. The overall time required for DHM datasets was approximately 40 seconds. As expected, DHM LV volumes were larger than 2D ones (end-diastolic volume: 173 ± 64 vs. 142 ± 58 mL, respectively), while no differences were found for LV EF and LA volumes (EF: 55% ± 12 vs. 56% ± 14; LA volume 89 ± 36 vs. 89 ± 38 mL, respectively). The comparison between DHM and CMR values showed a high correlation for LV volumes (r = 0.70 and r = 0.82, <em>p</em> < 0.001 for end-diastolic and end-systolic volume, respectively) and an excellent correlation for EF (r = 0.82, <em>p</em> < 0.001) and LA volumes. The DHM software is feasible, accurate, and quick in a large series of unselected patients, including those with suboptimal 2D images or in atrial fibrillation.</p>
Supplementary Material - Dataset for "Automating Quantum Software Maintenance: Flakiness Detection and Root Cause Analysis"
Open the record for dataset details and reuse information.
Pre-TAVI aortic annulus sizing: Comparison between manual and semi-automated new generation software measurements in operators with different experience
<p>The study compares manual and semi-automatic measurements (with specific dedicated GE Software) for aortic annulus assessment among different operators with different experience</p>
Master thesis: Evaluating Contemporary Approaches for Automated Compliance Checks of Software-intensive Systems
<p>The dataset and code used in and generated during the master thesis, from raw data over analysis artifacts to the research outcomes.</p>
ScienceDex guides
Understand access before you commit
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.