Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

27

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

27 results for “video processing”

Learn how ShareScore rates datasets ↗
zenodo28/100

Composite 2D video of raw and processed video footage from an outdoor camerawork training session for qualitative data collection

<p>The video clip, in traditional 2D format, contains a short excerpt (1:43 minutes) from an&nbsp;outdoor camerawork training session. The raw and processed footage from the different cameras is composited in a single frame. The original composite file has 32 channels of audio so that one can switch between different microphones and combinations of microphones. This is indicated in the video clip but is not available in this file. All participants are playing particular roles in the training session, and each carries a camera. In preparation for the real data collection with a guide, one person is pretending to be a nature guide. She carries a GoPro camera on a gimbal. There is an instructor, who is carrying a single lens 360&deg; camera on a raised extension pole with a separate ambisonic microphone. Two others are filming with a prosumer camcorder and a single lens 360&deg; camera on a lowered extension pole respectively. And a fifth person is filming with a stereoscopic 360&deg; camera and an independent ambisonic microphone on a monopod. In a nutshell, this is a typical team filming arrangement, in which the team needs to attentively yet silently coordinate their joint camerawork. Languages: Danish and English</p>

opencc-by-nc-nd-4.0Oct 2018View details →
zenodo28/100

Porcelain process raw videos egocentric part1

<p>Porcelain process raw videos egocentric part1</p>

opencc-by-4.0Sep 2024View details →
zenodo28/100

Porcelain process raw videos frontal part1

<p>Porcelain process raw videos frontal part1</p>

opencc-by-4.0Sep 2024View details →
zenodo28/100

Porcelain process raw videos egocentric part2

<p>Porcelain process raw videos egocentric part2</p>

opencc-by-4.0Sep 2024View details →
zenodo28/100

Porcelain process raw videos frontal part2

<p>Porcelain process raw videos frontal part2</p>

opencc-by-4.0Sep 2024View details →
zenodo24/100

Video Process Mining Evaluation Data

<p>Evaluation data for the case study conducted using&nbsp;<a href="https://github.com/arvidle/video-process-mining-public">https://github.com/arvidle/video-process-mining-public</a></p> <p>Contains object detection, multiple object tracking and spatio-temporal action detection results.<br> Additionally, the training data and weights of the finetuned models are included.</p>

opencc-by-4.0Mar 2023View details →
zenodo12/100

Unveiling the Sentiments and Opinions of Football Fans towards Video Assistant Referee (VAR) Technology: A Natural Language Processing Analysis

<p>The dataset has been used for the titled &quot;Unveiling the Sentiments and Opinions of Football Fans towards Video Assistant Referee (VAR) Technology: A Natural Language Processing Analysis&quot; provides valuable insights into the attitudes and opinions of football fans towards VAR technology. The dataset is the result of a natural language processing analysis of social media posts and online discussions related to VAR technology. It includes a comprehensive collection of sentiments, opinions, and attitudes expressed by football fans towards VAR technology, and provides researchers and analysts with a wealth of data to help them understand the public perception of this emerging technology in football. It can be used for further analysis in text analytics.&nbsp;</p>

restrictedMay 2023View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record