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ShareScore release 0.9.0
Dataset results
29 results for “YouTube videos”
Data from: A systematic review of methods for studying consumer health YouTube videos, with implications for systematic reviews
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Supplementary material to 'Automatic Identification of Hate Speech – A Case-Study of Alt-Right YouTube Videos'
<p>The associated files have been created for and is analysed in a fortcoming article entitled <em>Automatic Identification of Hate Speech – A Case-Study of Alt-Right YouTube Videos'. </em>The material is divided into six tables as follows:</p> <table> <tbody> <tr> <td>Sentence top 5%</td> <td>The 19th 20-quantile predicted most hateful sentences</td> </tr> <tr> <td>Sentence bottom 5%</td> <td>The bottom 20-quantile predicted moste hatefull sentences (the least likely to contain hatespeech)</td> </tr> <tr> <td>Paragraphs</td> <td>Prediction and annotation of paragraphs</td> </tr> <tr> <td>Video top 10%</td> <td>Titles of the top decile predicted hateful videos</td> </tr> <tr> <td>Video bottom 10%</td> <td>Titles of the bottom decile predicted hateful videos</td> </tr> <tr> <td>Video bottom 10% - Alt right</td> <td>Titles of the bottom decile predicted hateful videos without History</td> </tr> </tbody> </table> <p>The data is uploaded in two formats:</p> <p><strong>Excel file: </strong>Automatic_Detection_of_Hate_Speech_a_Case-Study_of_Alt-Right_Videos.xlsx contains all six tables in one file, with a supplementary <em>codebook. </em></p> <p><strong>Tab Separated Values (TSV):</strong> Each file correspond to a single sheet from the excel file, and are named accordingly. UTF-8 Encoded.<strong><br></strong></p>
Reliability and usefulness of YouTube videos for information on penile prothesis
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x264 and x265 performance on eight videos of the Youtube UGC Dataset
<p>The measurements of 3125 configurations of two video encoders, namely <a href="https://www.videolan.org/developers/x264.html">x264</a> and <a href="https://www.videolan.org/developers/x265.html">x265</a>, on eight different videos of the <a href="https://media.withyoutube.com/">Youtube UGC Dataset</a></p>
YouTube data for "Early Prediction of the Future Popularity of Uploaded Videos"
<p>This file contains the YouTube data for "Early Prediction of the Future Popularity of Uploaded Videos" by Chen and Chang. Please refer to this study for the definition and description of the data.</p>
Artificial Intelligence in Healthcare: Advanced Evaluation of Medical Online Content. AI-driven Quality Assessment of YouTube Videos Providing Information on Incontinence After Cancer Surgery.
ClinicalTrials.gov study NCT05960734. IPD Sharing: YES. Countries: 1. Publications: 0.
Dataset for: "Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children"
<p>Dataset for paper: Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children</p> <p>The dataset consists of five files:<br> 1. groundtruth_videos.json: This is the ground truth dataset. We have 4797 manually annotated videos (1513 suitable, 929 disturbing, 419 restricted, and 1936 irrelevant). You can distinguish among the different labels by observing the 'classification_label' field.<br> 2. elsagate_related_videos.json: Contains the data for 233K elsagate-related YouTube videos (1K seed and 232K recommended) that were obtained as described in the paper.<br> 3. other_child_related_videos.json: Contains the data for 155K other child-related YouTube videos (2K seed and 153K recommended) that were obtained as described in the paper.<br> 4. random_videos.json: Contains the data for 482K random YouTube videos (8K seed and 474K recommended) that were obtained as described in the paper.<br> 5. popular_videos.json: Contains the data for 11K popular YouTube videos (500 seed and 10.5K recommended) that were obtained between November 18 and November 21, 2018, as described in the paper.</p> <p>For each video in all sets, you can check the predicted label of our classifier by observing the 'prediction' field.</p>
YouTube recommended videos network from the Olavo de Carvalho vídeo "Globalismo e poder"
<p>This dataset structures a network of YouTube video recommendations from the Olavo de Carvalho conspiracy theory vídeo "Globalismo e poder". The data is structured as a graph, which could be constructured through the parameter "parentId". The graph includes 50,000 nodes, with id, title, thumbnail link and channel name.</p>
Dataset of Ainu-related videos in YouTube
<p>Anonymized open data pertaining 428 YouTube videos related to Ainu Indigenous people. Curated and verified by humans.</p>
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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.