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Dataset results
67 results for “Video Analysis”
Supplementary videos for the paper "Visual analysis of model parameter sensitivities along warm conveyor belt trajectories"
<p>Supplementary videos for the paper "Visual analysis of model parameter sensitivities along warm conveyor belt trajectories using Met.3D (1.6.0-multivar1)" by Christoph Neuhauser, Maicon Hieronymus, Michael Kern, Marc Rautenhaus, Annika Oertel and Rüdiger Westermann.</p>
Multimodal Analysis of Structural Voice Disorders Based on Speech and Stroboscopic Laryngoscope Video
ClinicalTrials.gov study NCT05348031. IPD Sharing: UNDECIDED. Countries: 0. Publications: 9.
Measuring Head Control Change With 2D Video Analysis After Utilization of Headpod in Children With Poor Head Control
ClinicalTrials.gov study NCT02764775. IPD Sharing: NO. Countries: 1. Publications: 0.
Epidemiology Study and Risk Factor Analysis on Chronic Post-surgical Pain After Video-assisted Thoracic Surgery
ClinicalTrials.gov study NCT05473728. IPD Sharing: NO. Countries: 1. Publications: 0.
Artificial Intelligence for the Analysis of Video Data of Facial Movement, with a Focus on Myasthenia Gravis
ClinicalTrials.gov study NCT06860360. IPD Sharing: YES. Countries: 1. Publications: 0.
Raw data used for analysis of parental care from video footage of breeding Cape Rockjumpers (Chaetops frenatus), from the Western Cape of South Africa
Open the record for dataset details and reuse information.
Supporting video for "Temperature Modulated Micromechanical Thermal Analysis with Microstring Resonators Detects Multiple Coherent Features of Small Molecule Glass Transition"
<p>Supporting video for "Temperature Modulated Micromechanical Thermal Analysis with Microstring Resonators Detects Multiple Coherent Features of Small Molecule Glass Transition" . 720p Version. </p>
Analysis of the participant's self-assessments on their understanding of diabetes before and after watching each health educational videos
<p>This analysis was conducted on the data retrieved from Deaf participants during Co-evaluation 2. This analysis contributed to the findings about participant’s self-assessments on their understanding of diabetes before and after watching each health education video.</p>
Security Analysis of Ripple Consensus (video)
Full video presentation of the paper: Security Analysis of Ripple Consensus.<br><br>Appears in Session 2 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
30 fps Swimming performance videos for analysis
Open the record for dataset details and reuse information.
Video results of the study "Dynamic Region of Interest Generation for Maritime Horizon Line Detection using Time Series Analysis"
<p># Video Results of the Study "Dynamic Region of Interest Generation for Maritime Horizon Line Detection using Time Series Analysis"</p> <p>This repository contains the result videos from the study titled *"Dynamic Region of Interest Generation for Maritime Horizon Line Detection using Time Series Analysis"*. These videos showcase the performance of the algorithm on two datasets: the **Singapore Maritime Dataset (Onboard Segment)** and the **Buoy Dataset**. Please note that the original datasets are not included in this repository but are publicly available elsewhere.</p> <p>## Contents</p> <p>### 1. Singapore Maritime Dataset (Onboard Segment)<br>The videos labeled with **MVI** belong to the Singapore Maritime Dataset. These result videos demonstrate the performance of the horizon line detection algorithm on onboard maritime footage. For example:<br>- **MVI_0792_VIS_OB.avi** - Original input video (available in the Singapore Maritime Dataset)<br>- **MVI_0792_VIS_OB_R.avi** - The output video showing the results of the algorithm</p> <p>### 2. Buoy Dataset<br>The videos labeled with **buoyGT** belong to the Buoy Dataset. These results show the performance of the algorithm near maritime buoys. For example:<br>- **buoyGT_2_5_3_0.avi** - Original input video (available in the Buoy Dataset)<br>- **buoyGT_2_5_3_0_R.avi** - The output video showing the results of the algorithm</p> <p>## Video Naming Convention<br>Each result video follows a consistent naming convention related to the original input videos:<br>- **Original Video Filename**: [dataset]_[video details].avi<br>- **Result Video Filename**: [original video filename]_R.avi</p> <p>For instance:<br>- **buoyGT_2_5_3_0.avi** corresponds to **buoyGT_2_5_3_0_R.avi**<br>- **MVI_0792_VIS_OB.avi** corresponds to **MVI_0792_VIS_OB_R.avi**</p> <p>The **_R** suffix in the result videos indicates that the video contains the output of the horizon line detection algorithm.</p> <p>## How to Use<br>- To view the results for a specific video, locate the original input video in the corresponding public dataset and find the matching result video in this repository.<br>- For example, the result for the video "buoyGT_2_5_3_0.avi" can be found as "buoyGT_2_5_3_0_R.avi".</p> <p>## Datasets<br>The original datasets used in this study are not included in this repository. They are publicly available from the following sources:<br>1. **Singapore Maritime Dataset** (Onboard Segment)<br>2. **Buoy Dataset**</p> <p>Please refer to the respective dataset repositories for the original video files.</p> <p>## Citation<br>If you use these videos or the method presented in this study in your work, please cite the following:</p> <p>*Dynamic Region of Interest Generation for Maritime Horizon Line Detection using Time Series Analysis*.</p>
CodeSCAN: ScreenCast ANalysis for Video Programming Tutorials
<p>CodeSCAN is the first large-scale and diverse dataset of coding screenshots with pixel-perfect annotations. It features:</p> <div> <ul> <li>24 popular programming languages (according to Github)</li> <li>100 random repositories per language (with MIT, BSD-3 or WTFPL License), i.e. 2.400 repositories in total</li> <li>Per repository we use 5 files, i.e. 12.000 files in total</li> <li>~100 different themes and 25 different fonts</li> <li>Diverse layouts changes, such as menu bar visibility, sidebar position, output window content, etc.</li> <li>Numerous realistic interactions such as searching, typing and selecting within a file, etc.</li> </ul> <p>Check our <a href="https://a-nau.github.io/codescan/">project page</a> for details. The dataset is for <strong>academic research use only</strong>.</p> </div>
Development of Dysphagia Evaluation Via Video Analysis Based on Deep Learning Method in Neonates and Infants and Correlation Between the Evaluation and the Development
ClinicalTrials.gov study NCT05204966. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Establishment of Tongue Examination Analysis From the Video Recording
ClinicalTrials.gov study NCT04923763. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Electro- Hemodynamic Activity in Children: Combined Analysis by Video -EEG Spectroscopy and Near-infrared (NIRS )
ClinicalTrials.gov study NCT02826915. IPD Sharing: Not stated. Countries: 1. Publications: 0.
2D Video Gait Analysis Platform Applying to AI Model for Adjustment of the Shoes' Sole
ClinicalTrials.gov study NCT07003087. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Electrohaemodynamic Activity in Epileptic Children : Combined Video-EEG and Near-infrared Spectroscopy (NIRS) Analysis
ClinicalTrials.gov study NCT02814331. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Video Analysis of Vaginal Deliveries
ClinicalTrials.gov study NCT02295904. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Artificial Intelligence-based Video Analysis to Detect Infantile Spasms
ClinicalTrials.gov study NCT06315829. IPD Sharing: NO. Countries: 1. Publications: 0.
The Analysis of Ocular Deviations Between Dominant and Non-dominant Eye Using Video-oculography (VOG) in Intermittent Exotropia
ClinicalTrials.gov study NCT03641040. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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.