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102 results for “Video recording”
Data from: The Chirocopter: a UAV for recording sound and video of bats at altitude
1. Most recordings of bats are conducted with fixed equipment, which relies on opportunistic data collection. Unmanned aerial vehicles (such as drones) are considered inappropriate for recording bats due to ultrasound noise constraints. 2. We developed a UAV system that physically isolates UAV noise so we can record, with 3D maneuverability, ultrasonic audio and spatial thermal data of bat flight at altitude. 3. We tested the noise of our UAV with various payloads and microphone configurations to characterize the ultrasonic noise of our system, physically isolate drone noise from the microphone, and maximize UAV flight performance. 4. Over 84 minutes of recordings, we captured 3,847 echolocation signals from bats with corresponding thermal data of bat flight. Our system provides a feasible mechanism to capture both acoustic and video data of bats aloft at flexible locations and altitudes. 5. We include information on how to extend our method to apply to acoustic recordings in the audible (20 Hz-20 kHz) range for recording sounds of other taxa.
Open Access to Excellent Science - the European Research Council's approach (video recording)
<p>Video recording of a presentation given at the event 'Open Access: Authors, publishers, investors and institutions for the dissemination of the scientific research's results' that was organised by the Library of EPFL in the context of the Open Access Week 2013. The video includes the introduction of the presentation by EPFL Director, Dr. Isabelle Kratz.</p> <p><strong>Abstract</strong>: We will give an overview of the ERC's approach to Open Access, and how it is reflected in the rules governing the ERC grants under the current 7th EU Research Framework Programme. We will explain how the ERC supports its grantees in providing open access to their research results, and shed some light on the changes to be expected for the new EU Research Framework Programme, Horizon 2020, which will start on 1 January 2014. In doing so, we will also take a look at the different roles of the ERC and the European Commission concerning the promotion of Open Access, and explain some of the differences in approach.</p>
MTV-10 reel-to-reel video tape recorder
The MTV-10 is a device used for recording and playing back sound and monochrome images on magnetic tape. It allows recording programmes in the ORIT standard for broadcasting in television programming, and preparing one's own recordings using a special television camera. The main panel of this device features a power switch with control light, two hubs for videotape reels, a covered record/playback mechanism (for recording black-and-white television images on half inch chrome tape), three potentiometers (phase, video, audio), six buttons (record, rewind, fast forward, play, still, stop), as well as two indicators (video, audio) and a tape length counter with a reset button. A total of 6000 units were produced, which were mostly used in schools. Manufacturer: Zakłady Radiowe im. Marcina Kasprzaka, Warsaw, 1981 Inv. No.: MIM703/VI-84 Model prepared on the basis of photogrammetric measurements Licence: CC BY-NC-SA (CC Attribution-NonCommercial-ShareAlike) Source: Objaverse 1.0 / Sketchfab
Timed Recordings: Brozzler Loading Web Pages with Embedded Videos
<p>This upload contains timed recordings of Brozzler loading web pages with embedded video(s). </p>
Constructing a social-behavioral association network to study management impact on waterbird community ecology using digital video recording cameras
<p>Studying social behavior and species associations in ecological communities is challenging because it is difficult to observe the interactions in the field. Animal behavior is especially difficult to observe when selection of habitat and activities are linked to energy costs of long-distance movement. Migrating communities tend to be resource specific and prefer environments that offer more suitability for coexisting in a shared space and time. Given the recent advances in digital technologies, digital video recording systems are gaining popularity in wildlife research and management. We used digital video recording cameras to study social interactions and species-habitat linkages for wintering waterbird communities in shared habitats. Examining over 8,640 hours of video footages, we built tetrapartite social behavioral association network of wintering waterbirds over habitat (n=5) selection events in sites with distinct management regimes. We analyzed these networks to identify hub species and species role in activity persistence, and to explore the effects of hydrological regime on these network characteristics. Although the differences in network attributes were not significant at treatment level (<i>p</i> = 0.297) in terms of network composition and keystone species composition, our results indicated that network attributes were significantly different (<i>p </i>= 0.000, <i>r<sup>2</sup></i><sup> </sup>= 0.278) at habitat level. There were evidences suggesting that the habitat quality was better at the managed sites, where the formed networks had more species, more network nodes and edges, higher edge density, and stronger intra- and inter-species interactions. In addition, we also calculated the species interaction preference scores (SIPS) and behavioral interaction preference scores (BIPS) of each network. The results showed that species synchronize activities in shared space for temporal niche partitioning in order to avoid or minimize any potential competition for shared space. Our social network analysis (SNA) approach is likely to provide a practical use for ecosystem management and biodiversity conservation.</p>
Video Recordings for ConfVE
<p>Video Recordings of Violations Occurred in ConfVE</p>
Data from: Environmental DNA metabarcoding reliably recovers arthropod interactions which are frequently observed by video recordings of flowers
<p>Environmental DNA (eDNA) metabarcoding promises to be a cost- and time-efficient monitoring tool to detect interactions of arthropods with plants. However, observation-based verification of the eDNA derived data is still required to confirm whether the arthropods indeed previously interacted with the plant. Here we conducted a comparative analysis of the performance of eDNA metabarcoding and video camera observations to detect arthropod communities associated with sunflowers (<em>Helianthus annuus</em>, L.). We compared the taxonomic composition, interaction type, and diversity by testing for an effect of arthropod interaction time and occupancy on successful taxon recovery by eDNA. We also tested if pre-washing of the flowers successfully removed eDNA deposition from before the video camera recording, thus enabling a reset of the community for standardized monitoring. We find that eDNA and video camera observations recovered distinct communities, with about a quarter of the arthropod families overlapping. However, the overlapping taxa comprised ~90% of the interactions observed by the video camera. Interestingly, eDNA metabarcoding recovered more unique families than the video cameras, but approx. two-third of those unique observations were rare species. The eDNA-derived families were biased towards plant sap-suckers, showing that such species may deposit more eDNA than e.g. transient pollinators. We also find that pre-washing of the flower heads did not suffice to remove all eDNA traces, suggesting that eDNA on plants may be more temporally stable than previously thought. Our work highlights the great potential of eDNA as a tool to detect plant-arthropod interactions, particularly for specialized and frequently interacting taxa.</p>
Dataset of students' watching video record
Open the record for dataset details and reuse information.
GazeMining: A Dataset of Video and Interaction Recordings on Dynamic Web Pages. Labels of Visual Change, Segmentation of Videos into Stimulus Shots, and Discovery of Visual Stimuli.
<p><strong>Recording setup</strong><br> Recordings have been taken place on 12th March 2019. Gaze data has been recorded with a Tobii 4C eye tracker with Pro license at 90 Hz. Resolution of the viewport was set to 1024x768. The display had a size of 24 inches and a resolution of 1680x1050 pixels. We polled the DOM tree every 50 milliseconds for fixed elements. We recorded the Web browsing of four participants, who followed the protocol as stored under "Dataset_visual_change/Instructions.doc".</p> <p><strong>Description of the dataset</strong><br> The dataset consists of following three subsets.</p> <p><em>1. Dataset_visual_change</em><br> The recordings of each participant p1-p4 on twelve Web sites are in the corresponding directories. For each Web site, there are nine to eleven files:</p> <ul> <li><site>.json: datacast</li> <li><site>.webm: video recording</li> <li><site>.features.csv: computer-vision features per observation</li> <li><site>.features_meta.csv: meta information about features</li> <li><site>.labels-l<X>.csv: labels of observations</li> <li><site>_meta.csv: meta information about recording</li> <li><site>_scroll_cache.csv: cache of estimated scrolling</li> <li><site>_scroll_cache_map.csv: mapping of observations to scroll cache entries</li> <li><site>_times.csv: timestamps of frames in the video recording</li> <li><site>_layer_pixels.csv: first row is the pixel count of root layer, second row is pixel count of all fixed elements</li> </ul> <p><em>2. Dataset_stimuli</em><br> Stimulus shots and visual stimuli computed with the framework. Value-based, edge-based, signal-based, and SIFT-based features have been used. The labels of the first participant's session had been used to train a random forest classifier with 100 trees for visual change classification, using the named features. The discovery has been performed on each Web site from the dataset and<br> the results are placed in the respective directories. Inside each directory, there is one directory for the detected shots and one for the discovered stimuli. In the shots directory, there is one overview as <participant>_<site>.csv file. For each shot, there are four further files:</p> <ul> <li><participant>_<site>_<shot>.png: stitched frame of the stimulus shot</li> <li><participant>_<site>_<shot>-blind.csv: frames from animations that are not contributing to the stitched frame</li> <li><participant>_<site>_<shot>-gaze.csv: gaze data (in stitched frame space)</li> <li><participant>_<site>_<shot>-mouse.csv: mouse data (in stitched frame space)</li> </ul> <p>The shots have been merged to stimuli, which are placed in the stimuli directory. The stimuli are grouped per layer (scrollable, fixed elements, etc.) and meta information is available in <layer_index>-<xpath>-meta.csv files. Furthermore, there are directories per layer, storing the discovered stimuli. Each discovered visual stimulus is represented by four files:</p> <ul> <li><stimulus_id>.png: stitched frame of the visual stimulus</li> <li><stimulus_id>-gaze.csv: gaze data (in stitched frame space)</li> <li><stimulus_id>-mouse.csv: mouse data (in stitched frame space)</li> <li><stimulus_id>-shots.csv: contained stimulus shots</li> </ul> <p><em>3. Dataset_evaluation</em><br> We have performed two evaluations of the visual stimuli discovery. One computational estimating the quality of stimuli. One case-study of an expert's task. There are two respective directories with the annotation data.</p> <p><strong>Changelog</strong><br> [1.0.2] Add counts of layer pixels per participant.<br> [1.0.1] Change to CC0 license.<br> [1.0.1] Add labels of third annotator "l3".<br> [1.0.0] Initial release.</p>
Video recording and vegetation classification elucidate sheep foraging ecology in species-rich grassland
<p>Dataset as Excel file</p>
Asystole Video-EEG Recording
<p>Second asystole recorded during video-EEG monitoring. The patient says to do not feel well. He then loses consciousness. A brief myoclonic movement with the four limbs precedes the return of cousciousness. </p>
Determining Feasibility and Acceptability of Sharing Video Recordings With Patients With ALS and Caregivers
ClinicalTrials.gov study NCT04719403. IPD Sharing: NO. Countries: 1. Publications: 1.
Examining the Effects of Patient Information Forms, Exercise Forms and Video Recordings
ClinicalTrials.gov study NCT06229028. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Data from: The Chirocopter: a UAV for recording sound and video of bats at altitude
Open the record for dataset details and reuse information.
Video recordings of strepsipterans-parasitized and non-strepsipteran-parasitized bees flower-visiting behaviour
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Constructing a social-behavioral association network to study management impact on waterbird community ecology using digital video recording cameras
Open the record for dataset details and reuse information.
Egg laying behavior of the common cuckoo (Cuculus canorus): data based on field video-recordings
Open the record for dataset details and reuse information.
Data from: Environmental DNA metabarcoding reliably recovers arthropod interactions which are frequently observed by video recordings of flowers
Open the record for dataset details and reuse information.
Aerial images and video records of the Kodor and Bzyp river plumes
<p>Aerial images and video records of the Kodor and Bzyp river plumes that illustrate their various dynamical features</p>
Supplementary file 3; A video clip, recorded on an iPhone, showing the male lion Shanto in the enclosure, after just being released from the indoor enclosure exhibiting territorial vocalizations
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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)
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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.