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Dataset results
11 results for “Video data collection”
SSHOC Training Material Video 3 - Contributing metadata to the COVID-19 collection of the Ethnic and Migrant Minorities (EMM) Survey Registry as a data producer - training video in English, French and Spanish
<p>Contributing metadata to the COVID-19 collection of the Ethnic and Migrant Minorities (EMM) Survey Registry as a data producer</p> <p>A training video targeting COVID-19 survey producers to entice contributions to the COVID-19 collection of the EMM Survey Registry<br> <strong>Target Audience for the video</strong>: Survey producers (academic and non-academic) of COVID-19 surveys with EMM respondents</p>
360-degree video recording of an outdoor camerawork training session for qualitative data collection
<p>In this equirectangular 360° video clip, a recording of an outdoor camerawork training session is stitched together from the footage taken by a stereoscopic 360° camera with eight lenses. To play the video and spatial sound correctly, use a digital video player that can play equirectangular videos with the YouTube ambiX First Order Ambisonic audio format, eg. VLC or PotPlayer. Please wear headphones.</p> <p>In the camerawork training session, all the 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° camera on a raised extension pole with a separate ambisonic microphone. Two others are filming with a prosumer camcorder and a single lens 360° camera on a lowered extension pole respectively. And a fifth person is filming with a stereoscopic 360° 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>
Estimating enhanced fish production on restored shellfish reefs using automated data collection from underwater videos
Open the record for dataset details and reuse information.
Video Data (4K): Purely vision-based collective movement of robots
<p><strong>This dataset holds the four main experimental videos in 4K resolution of the paper titled "<em>Purely vision-based collective movement of robots</em>" by Mezey et al. (2024).</strong></p> <p><strong>Abstract:</strong></p> <p>Collective movement inspired by animal groups promises inherited benefits for robot swarms, such as enhanced sensing and efficiency. However, while animals move in groups using only their local senses, robots often obey central control or use direct communication, introducing systemic weaknesses to the swarm. In the hope of addressing such vulnerabilities, developing bio-inspired decentralized swarms has been a major focus in recent decades. Yet, creating robots that move efficiently together using only local sensory information remains an extraordinary challenge. In this work, we present a decentralized, purely vision-based swarm of terrestrial robots. Within this novel framework robots achieve collisionless, polarized motion exclusively through minimal visual interactions, computing everything on board based on their individual camera streams, making central processing or direct communication obsolete. With agent-based simulations, we further show that using this model, even with a strictly limited field of view and within confined spaces, ordered group motion can emerge, while also highlighting key limitations. Our results offer a multitude of practical applications from hybrid societies coordinating collective movement without any common communication protocol, to advanced, decentralized vision-based robot swarms capable of diverse tasks in ever-changing environments.</p> <p><strong>The video files are as follows:</strong></p> <ol> <li>Video 1: Video of a ca. 90 minute experiment with robots flocking aligned with the arena wall</li> <li>Video 2: Demonstrating fission and later fusion of a single robot</li> <li>Video 3: Demonstrating fisiion/fusion behavior of 2 robots</li> <li>Video 4: Showcasing decentralized design by adding/removing robots on the fly.</li> </ol> <p>The videos are also avialable on the TIB-AV portal in 1080p resolution where they can be cited individually under the DOIs:</p> <ol> <li>Video 1: https://doi.org/10.5446/68205</li> <li>Video 2: https://doi.org/10.5446/68204</li> <li>Video 3: https://doi.org/10.5446/68203</li> <li>Video 4: https://doi.org/10.5446/68201</li> </ol> <p><strong>Funding:</strong></p> <p>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC 2002/1 “Science of Intelligence” – project number 390523135.</p>
Behavior and diet data collected from i) GPS video camera collars and ii) fecal samples collected from individuals from the Fortymile Caribou Herd
<p>Summer diets are crucial for large herbivores in the subarctic and are affected by weather, harassment from insects and a variety of environmental changes linked to climate. Yet understanding foraging behavior and diet of large herbivores is challenging in the subarctic because of their remote ranges. <a name="_Hlk82429015">We used GPS video-camera collars to observe behaviors and summer diets of the migratory Fortymile Caribou Herd (<i>Rangifer tarandus granti</i>) across Alaska, USA and the Yukon, Canada.</a> First, we characterized caribou behavior. Second, we tested if videos could be used to quantify changes in the probability of eating events. Third, we estimated summer diets at the finest taxonomic resolution possible through videos. Finally, we compared summer diet estimates from video collars to microhistological analysis of fecal pellets. We classified 18,134 videos from 30 female caribou over two summers (2018 – 2019). Caribou behaviors included eating (mean = 43.5%), ruminating (25.6%), travelling (14.0%), stationary awake (11.3%) and napping (5.1%). Eating was restricted by insect harassment. We classified forage(s) consumed in 5,549 videos where diet composition (monthly) highlighted a strong tradeoff between lichens and shrubs; shrubs dominated diets in June and July when lichen use declined. We identified 63 species, 70 genus and 33 family groups of summer forages from videos. After adjusting for digestibility, monthly estimates of diet composition were strongly correlated at the scale of the forage functional type (i.e., forage groups comprised of forbs, graminoids, mosses, shrubs, and lichens; <i>r = </i>0.79, <i>p</i> < 0.01). Using video collars, we identified i) a pronounced tradeoff in summer foraging between lichens and shrubs and ii) the costs of insect harassment on eating. Understanding caribou foraging ecology is needed to plan for their long-term conservation across the circumpolar north and video collars can provide a powerful approach across remote regions.</p>
Behavior and diet data collected from i) GPS video camera collars and ii) fecal samples collected from individuals from the Fortymile Caribou Herd
Open the record for dataset details and reuse information.
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 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° camera on a raised extension pole with a separate ambisonic microphone. Two others are filming with a prosumer camcorder and a single lens 360° camera on a lowered extension pole respectively. And a fifth person is filming with a stereoscopic 360° 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>
Epi-collect: Data Collection During Video EEG Monitoring and at Patient's Home
ClinicalTrials.gov study NCT03038191. IPD Sharing: NO. Countries: 1. Publications: 0.
Clinical Development of a Tool for Optimized Self- and Hetero-diagnosis of Stroke Using Artificial Intelligence: Stage1- Collection of Video-clinical Data in a Pragmatic Situation.
ClinicalTrials.gov study NCT05959746. IPD Sharing: NO. Countries: 1. Publications: 0.
Observational Bronchoscopy Video Data Collection Study With Adult Patients
ClinicalTrials.gov study NCT06465797. IPD Sharing: NO. Countries: 1. Publications: 0.
Prospective Collection of PillCam SB3 Videos and Raw Data Files for Future Developments (SODA)
ClinicalTrials.gov study NCT03771508. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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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.