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102 results for “Video recording”
Video recording of the collective display of Photuris frontalis fireflies
<p><em>Photuris frontalis</em> fireflies are known for their synchronous flashing when swarming in large numbers. Here, we provide a continuous, high-resolution video recording of their collective display. This recording was obtained at Congaree National Park, South Carolina, USA, on May 23, 2021, in the fireflies' natural habitat. It started at 8:38 pm EDT and continued for about 130 min without human interference. The flashes seen in the video appear usually synchronous, and at times produce more complex patterns akin to the mathematical phenomenon known as "chimera state".</p>
Additional raw video and pose estimation data of top view open field mouse behavior recordings after diazepam injections
<p>This repository contains raw data for 32 different open field recordings of mice. These include top view raw video .mp4 files (Videos.zip and Videos_2.zip) and the corresponding .csv pose estimation data (data.zip) obtained with DeepLabCut. The data is from a single diazepam injection experiment at Roche, where animals were injected with saline, 1 mg/kg, 2 mg/kg or 3 mg/kg of diazepam. The METADATA_ROCHE.csv or METADATA_ROCHE.xlsx files contain all grouping variables and help linking the pose estimation files (located in data/) to the video files. Visit https://github.com/ETHZ-INS/BehaviorFlow to find out more about how we have used this data.</p>
Additional raw video and pose estimation data of top view mouse behavior recordings (marble burying test, light-dark box, fear conditioning box) of acute and chronic stress models
<p>This repository contains raw data for 296 different behavioral recordings of mice (marble burying test, light-dark box, fear conditioning box). These include top view raw video .mp4 files (Videos.zip) and the corresponding .csv pose estimation data (data.zip) obtained with DeepLabCut. The data is from multiple different experiments. The METADATA.csv or METADATA.xlsx files contain all grouping variables and help linking the pose estimation files (located in multiple subfolders of /data) to the video files. Visit https://github.com/ETHZ-INS/BehaviorFlow to find out more about how this data has be used by us.</p>
Videos of artificially released SO2 puffs recorded simultaneously with six UV SO2 cameras
<p>The six videos show the temporal evolution of six artifially released SO2 puffs. Each video covers the same 1-minute time period and is recorded by one of six UV SO2 cameras (UV1 - UV6) at different positions around the source location.<br> The videos have been created in the scope of the Comtessa project and show data from the first field campaign in July 2017.</p>
A set of videos recorded upon long-term thermocycling experiments carried out by using small containers filled with PCM candidates
<p> </p> <p>Electronic Supplementary Material for Deliverable 2.7 "<strong>Report on the final heat storage block design and long term reliability experiments".</strong></p> <p>A set of fast-forward videoclips compiled based on the images recorded during the long-term experiments on small containers filled with PCM candidates and subjected to thermocycling procedure including consecutive melting/solidification. Details on involved materials and applied temperature profiles are described in D2.7.</p> <p> </p> <p>The list of attached movies:</p> <p> </p> <p><strong>2908</strong>: Si+B mixture (3.2B wt%)/small container made of pure h-BN HeBoSint D100 (Henze, Germany)</p> <p><strong>2909</strong>: Si+B mixture (3.2B wt%)/small container made of h-BN composite HeBoSint O120 (Henze, Germany)</p> <p><strong>2910</strong>: Si+B mixture (3.2B wt %)/small container made of porous graphite (Kryzaplast, Poland)</p> <p><strong>2911</strong>: Si+B mixture (3.2B wt %)/small container made of h-BN composite HeBoSint O120 (Henze, Germany)</p> <p><strong>2969:</strong> Fe-Si-B alloy produced by NTNU/small container made of dense graphite IG-15 (Tanso, Sweden)</p> <p><strong>2970</strong>: Fe-Si-B alloy produced by NTNU/small container made of pure h-BN HeBoSint D100 (Henze, Germany)</p> <p><strong>2971:</strong> Fe-Si-B alloy produced by NTNU/small container made of h-BN composite HeBoSint O120 (Henze, Germany)</p> <p>A more detailed description of the experimental complex is shown elsewhere:</p> <p>Sobczak N, Nowak R, Radziwill W, Budzioch J, Glenz A, Experimental complex for investigations of high temperature capillarity phenomena, Mater Sci Eng A 495 (2008) 43–49</p>
Table S1: Records of bramble shark sightings on 16 December, 2023, offshore of Fujairah, UAE, in the Gulf of Oman. Time is provided in Zulu time (GMT), not in local time. Vessels where sightings occurred are labeled as remotely operated vessels (ROV: Chimera) or human-driven submersibles (Sub: Neptune and Nadir).; Video S1: Video footage of a bramble shark (Echinorhinus brucus) encounter with a submersible at 780 m depth offshore from Fujairah, United Arab Emirates.
<p><span>Table S1: Records of bramble shark sightings on 16 December, 2023, offshore of Fujairah, UAE, in the Gulf of Oman. Time is provided in Zulu time (GMT), not in local time. Vessels where sightings occurred are labeled as remotely operated vessels (ROV: Chimera) or human-driven submersibles (Sub: Neptune and Nadir).</span></p> <p><span>Video S1: Video footage of a bramble shark (<em>Echinorhinus brucus</em>) encounter with a submersible at 780 m depth offshore from Fujairah, United Arab Emirates.</span></p>
Video recording of the digitisation of the Knossos Palace
<p>Video recording of the digitisation of the Knossos Palace composed by registered aerial and terrestrial scans </p>
Raw video and pose estimation data of top view open field mouse behavior recordings of acute and chronic stress models
<p>This repository contains raw data for 411 different open field recordings of mice. these include top view raw video .mp4 files (Videos.zip) and the corresponding .csv pose estimation data (data.zip) obtained with DeepLabCut. The data is from multiple different experiments. The METADATA.csv or METADATA.xlsx files contain all grouping variables and help linking the pose estimation files (located in multiple subfolders of /data) to the video files. Visit https://github.com/ETHZ-INS/BehaviorFlow to find out more about how this data has be used by us.</p>
Raw video and pose estimation data of top view open field mouse behavior recordings after yohimbine injections
<p>This repository contains raw data for 32 different open field recordings of mice. these include top view raw video .mp4 files (Videos.zip) and the corresponding .csv pose estimation data (data.zip) obtained with DeepLabCut. The data is from a single yohimbine injection experiment at Roche, where animals were injected with saline, 1mg/kg,3mg/kg or 6mg/kg of yohimbine. The METADATA.csv or METADATA.xlsx files contain all grouping variables and help linking the pose estimation files (located in data/Yohimbine_Roche) to the video files. Visit https://github.com/ETHZ-INS/BehaviorFlow to find out more about how we have used this data</p>
Rapid and reversible humidity-dependent colour change by water film formation in a scaled springtail: Image compilations and video recordings
<p><span>Colour is often not a static trait but can change over time either through biotic or abiotic factors. Humidity-dependent colour change can occur through either morphological change (e.g. to feather barbules in birds) or by the replacement of air by water causing a shift in refractive index, as seen in arthropod multilayer cuticles or scales. The scaled springtail <em>Lepidocyrtus</em> <em>cyaneus</em> has scales that produce color largely via thin film interference from their lamina. We observed a marked colour change from golden to violet/purple colouration in humid conditions. Light microscopy, microspectrophotometry, contact angle goniometry and optical modelling indicate that the formation of a thin film of water on top of the hydrophilic scales increases their laminar thin film thickness, causing a shift towards violet/purple colour. Evaporation of the water film causes the metallic golden colour to return. This constitutes a remarkably rapid colour change (in the order of seconds), only limited by the speed of water film condensation and evaporation, that may serve as inspiration for new dynamically coloured materials and sensors.</span></p>
A suspended hot drop of 1,3-propanediol with 4.1 mm base diameter, 190oC core temperature, and approaching air flow at 0.34 m/s, recorded at 10,000 fps and 99 ms exposure time, with default video playback speed 30 fps
<p>A suspended hot drop of 1,3-propanediol with 4.1 mm base diameter, 190<sup>o</sup>C core temperature, and approaching air flow at 0.34 m/s, recorded at 10,000 fps and 99 ms exposure time, with default video playback speed 30 fps</p>
Video recordings of polynoid (Annelida) swimming and crawling
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Video recording of the collective display of Photuris frontalis fireflies
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Data from: A hands-on guide to use network video recorders, internet protocol cameras, and deep learning models for dynamic monitoring of trout and salmon in small streams
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Rapid and reversible humidity-dependent colour change by water film formation in a scaled springtail: Image compilations and video recordings
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Recording of video on demand traffic
<p>The recording was created with the General Purpose Network Testing Framework:</p> <p><a href="https://github.com/vs-uulm/General-Purpose-Network-Testing-Framework">https://github.com/vs-uulm/General-Purpose-Network-Testing-Framework</a></p>
Video recordings of strepsipterans-parasitized and non-strepsipteran-parasitized bees flower-visiting behaviour
<p>Data consists mostly of strepsipterans-parasitized and non-strepsipteran-parasitized bees flower-visiting behaviour on <i>Hydrangea serrata</i> inflorescences. We analysed the recorded video by comparing time spent on an inflorescence between parasitized and unparasitized bees, <i>Lasioglossum apristum</i> and by comparing each bee's behaviour on the flower. We defined four flower-visiting behavioural units: (1) walking on flowers, (2) touching antennae and mouth to the flower, (3) collecting pollen, and (4) bending the abdomen downward and pressing the dorsal abdomen against the flower. We also observed whether the mouth of the bee touched a pistil or its base, where nectar might be found. Among these four behavioural units, unit 1 is incompatible with the other behavioural units, whereas units 2 and 3 and units 2 and 4 are compatible pairs and often occurred simultaneously. Units 3 and 4 never occur in the same bee. The behavioural repertoires of parasitized and unparasitized bees and the time spent on each behavioural unit were determined from video frames.<b><i> </i></b>We measured<b> </b>the cumulative time spent on each behavioural unit by each flower-visiting bee and then compared how parasitized and unparasitized bees allocated their flower-visiting time to the behaviour units.</p>
Georeferenced drone thermal video and related data, recorded on 6 and 28 August 2019 in Siikaneva peatland
<p>Data files in Matlab .mat format.</p> <p>1) EC_and_timeaxes.mat: Eddy Covariance data covering the drone measurement periods, time axes for drone 1Hz sequences and EC data;</p> <p>2) T_fluctuation_corr.mat: Four georeferenced sequences of surface temperature fluctuation T'(x,y,z) derived from the four measured thermal videos;</p> <p>3) T_georef_orig.mat: Four georeferenced sequences of surface temperature T(x,y,z) corresponding to the four measured thermal videos;</p> <p>4) UTMgrid_anemometer_RGBpic.mat: UTM grid for the T'(x,y,z) and T(x,y,z) sequences, pixel coordinates of anemometer location, georeferenced UAV RGB image (with the same UTM grid as the thermal images).</p>
Radio-Frequency Control and Video Signal Recordings of Drones
<p>This database contains <a href="https://en.wikipedia.org/wiki/In-phase_and_quadrature_components">IQ-baseband</a> recordings of 10 consumer/prosumer drones’ radio-control and video signals in an interleaved (I1 Q1 I2 Q2 I3 Q3 ...) 16-bit signed integer, little-endian, format. The drones were recorded at 2.44 GHz and 5.8 GHz center frequencies (with the exception of Yuneec Typhoon H at 5.7 GHz) if the drone supported both. In the dataset, these center frequencies were denoted with 2G and 5G in the filename, respectively. The sampling frequency was 120 MHz at 2.44 GHz and 200 MHz at 5.8 GHz. The recording length at 2.44 GHz was 120e6 samples, which corresponds to a recording period of 1 s and 100e6 samples at 5.8 GHz, which corresponds to a recording period of 0.5 s. </p> <p>The measurements were conducted in the isolated anechoic chamber of Tampere University, where the drones were on a turntable. The controller was next to the drone, and the measurement antenna was at the opposite side of the chamber. The published data are chosen in a way that a complete hopping sequence of the control signal is captured in each single recording, if possible. There were a few drones, for which two separate recordings were provided; these recordings are not consecutive, but it should be possible to combine them to extract the hopping sequence. Some drones also did not have a discernible pattern, or it was too long for our recording period. </p> <p>The recordings of the Parrot Mambo are separated into two files, since it was not possible to record a clean signal with simultaneously active video and control links. </p> <p>The following drone models are included in the first version of the database: </p> <ul> <li>DJI Inspire 2 (2.44 and 5.8 GHz) </li> <li>DJI Matrice 100 (2.44 GHz) </li> <li>DJI Matrice 210 (2.44 and 5.8 GHz) </li> <li>DJI Mavic Mini (2.44 GHz) </li> <li>DJI Mavic Pro (2.44 GHz) </li> <li>DJI Phantom 4 (2.44 GHz) </li> <li>DJI Phantom 4 Pro Plus (2.44 and 5.8 GHz) </li> <li>Parrot Disco (2.44 GHz) </li> <li>Parrot Mambo (2.44 GHz) </li> <li>Yuneec Typhoon H (2.44 and 5.7 GHz) </li> </ul> <p>For further information contact Jaakko Marin.</p>
Egg laying behavior of the common cuckoo (Cuculus canorus): data based on field video-recordings
<p>The egg laying behavior of brood parasites is at the heart of studies on their co-evolution with hosts. Updating and reporting more egg laying behavior can improve our perception and insight on the brood parasitism process. During a 7 years' study period, we monitored 455 Oriental reed warbler (<i>Acrocephalus orientalis</i>) nests during the egg laying period, of which 250 were parasitized by common cuckoos (<i>Cuculus canorus</i>). We randomly recorded 53 clear videos of cuckoo parasitism, analyzed and recorded all parasitic behavior of cuckoo in details, summarized the process of brood parasitism displayed by the common cuckoo. Based on analyses of these field video-recordings, we proposed a new explanation for the egg removal behavior, namely the delivery hypothesis, i.e. the egg pecking and biting may help parasitic cuckoos lay eggs faster, thereby avoiding the host's attention and reducing host attacks, whilst egg removal is the side effect of egg pecking and biting. We concluded that common cuckoos do not care whether the host is around the nest, as they have a set of methods to deal with host attacks and can complete parasitism boldly and smoothly at any time.</p>
ScienceDex guides
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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.