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17 results for “videography”

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zenodo40/100

Figure 6 in In situ infrared videography of sand scorpion nighttime surface activity

Figure 6: Scorpion movement after being displaced from its burrow. The scorpion in this lured experiment grabbed the floss as it moved past its burrow and was dragged about 50 cm away from its burrow in the direction of 7 o'clock. The excursion began at 21:14:12 and lasted almost 32 minutes. The scorpion did not relocate its burrow and walked off the screen to the left as indicated by the arrowhead. The arrow is 10 cm long and points north; upslope is toward the top of the figure.

opencc-by-4.0Dec 2011View details →
zenodo40/100

Figure 1 in In situ infrared videography of sand scorpion nighttime surface activity

Figure 1: Cue clues. a. Major scorpion sensory organs and the modalities to which they respond. b. Different return routes suggest the use of different stimuli.

opencc-by-4.0Dec 2011View details →
zenodo40/100

Figure 5 in In situ infrared videography of sand scorpion nighttime surface activity

Figure 5: Lured excursions. Twenty-five tosses of a small lure were made across the span of about an hour; times of tosses are indicated at right and the movement of the lure after each toss is shown in the figures at left. The duration of the dragging of the lure is indicated in parentheses next to the time. The arrowhead at the end of each tracing indicates the point where the lure was lifted from the sand surface. The scorpion was coaxed from its burrow on four separate occasions. These excursions are depicted in parts a-e and indicated as E1-E4 in the time list at right. Part f shows all tosses that did not induce scorpion movement. Sometimes the animal reacted to subsequent tosses while away from its burrow; these tosses are indicated with an "x" next to its time and the interaction between the movement of the lure and the movement of the animal is indicated by fine dotted lines on figures c-e (the very small numbers indicate the time in seconds of the excursion at which the interaction occurred). The arrow is 10 cm long and points north; upslope is toward the top of the figures.

opencc-by-4.0Dec 2011View details →
zenodo40/100

Figure 8 in In situ infrared videography of sand scorpion nighttime surface activity

Figure 8: Scorpion at burrow threshold. A female P. utahensis near the Scamp trailer is photographed at the opening of her burrow under UV light on March 21, 2009.

opencc-by-4.0Dec 2011View details →
zenodo40/100

Figure 2 in In situ infrared videography of sand scorpion nighttime surface activity

Figure 2: In situ videotaping of scorpions. a. The relative positions of the Scamp base trailer and the two scorpion burrows. b. IR camera mounted on metal pole inserted in sand and positioned above burrow. c. Close-up of IR camera. d. Video receiver mounted on back of base trailer. e. Inside trailer showing video monitor and DVD recorder. f. Still frame of IR video of scorpion outside of its burrow.

opencc-by-4.0Dec 2011View details →
zenodo40/100

Figure 3 in In situ infrared videography of sand scorpion nighttime surface activity

Figure 3: Scorpion emergence relative to traffic around the burrow. Shown are tracings of paths taken by all animals moving within 40 cm of scorpion 2's burrow during the 2 hr surveillance on night 1. The key shows the beginning time of each animal's path. The small numbers on the paths indicate time, in seconds, after the beginning of the movement into the region. Scorpion 2 emerged from its burrow twice (excursions C and K). The fine dotted lines indicate the time and location of other animals at the moment of scorpion emergence. The inset shows a composite photo of a kangaroo rat's movements near scorpion 2's burrow on the second night of filming; the top path occurred about 35 minutes into the filming, the lower path 82 minutes later. Each path took less than 2 seconds to complete. Both arrows are 10 cm long; the direction arrow points north. Upslope is toward the top of figure.

opencc-by-4.0Dec 2011View details →
zenodo36/100

Temporal variability of explosive activity at Tajogaite Volcano, Cumbre Vieja (Canary Islands), 2021 eruption from ground-based infrared photography and videography

<p>Supplementary material to:&nbsp;Temporal variability of explosive activity at Tajogaite Volcano, Cumbre Vieja (Canary Islands), 2021 eruption from ground-based infrared photography and videography (2023).&nbsp;</p> <p>Files are short infrared videos of explosive activity in the near-vent region of Tajogaite Volcano. Files are named by date of acquisition.&nbsp;</p>

opencc-by-4.0Sep 2023View details →
dryad36/100

DLC networks from: Application of a novel deep learning based 3D videography workflow to bat flight data

<p>Studying the detailed biomechanics of flying animals relies on producing accurate three-dimensional coordinates for key anatomical landmarks. Traditionally, this is achieved through manual digitization of animal videos, a labor-intensive task that grows more so with increasing frame rates and numbers of cameras. In this study, we present a workflow that combines deep learning-powered automatic digitization with intelligent filtering and correction of mislabeled points using 3D information. We tested our workflow using a particularly challenging scenario – bat flight. First, we documented bats flying steadily in a wind tunnel. We compared the results from manually digitizing bats with markers applied to anatomical landmarks against using our automatic workflow on the same bats without markers. In our second test case, we compared manual digitization against our automated workflow for bats exhibiting complex maneuvers in a large flight arena. We found that the variation between the 3D coordinates from our workflow and those from manual digitization was less than a millimeter larger than the variation between 3D coordinates resulting from two different human digitizers. The reduced reliance on manual digitization stemming from this work has the potential to significantly increase the scalability of studies into the detailed biomechanics of animal flight.</p>

opencc-zeroOct 2023View details →
dryad36/100

DLC networks from: Application of a novel deep learning based 3D videography workflow to bat flight data

Open the record for dataset details and reuse information.

publicOct 2023View details →
dryad36/100

Data from: High resolution outdoor videography of insects using fast lock-on tracking

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publicOct 2024View details →
zenodo32/100

Sensuous and Affective. The Potential of Videography for Studying Audio-Visual Relations

<p><a href="https://zfmedienwissenschaft.de/online/videography-blog/sensous-and-affective"><span>https://zfmedienwissenschaft.de/online/videography-blog/sensous-and-affective</span></a></p> <p><span>Dieser Videossay untersucht Potenziale von Videografie f&uuml;r die Untersuchung von Bild-Ton-Beziehungen aus Perspektive eines k&uuml;nstlerischen Forschers. Der Schwerpunkt liegt auf sinnlichen und affektiven Aspekten, die f&uuml;r das Verst&auml;ndnis der Erz&auml;hlung nicht relevant, f&uuml;r das Erleben eines Films jedoch entscheidend sind.</span></p>

opencc-by-4.0May 2023View details →
dryad32/100

Data from: Multichannel Stroboscopic Videography (MSV): A technique for visualizing multiple channels for behavioral measurements.

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publicJun 2019View details →
dryad28/100

Data from: Eulerian videography technology improves classification of sleep architecture in primates

Sleep is a critically important dimension of primate behavior, ecology, and evolution, yet primate sleep is under-studied because current methods of analyzing sleep are expensive, invasive, and time-consuming. In contrast to electroencephalography (EEG) and actigraphy, videography is a cost-effective and non-invasive method to study sleep architecture in animals. With video data, however, it is challenging to score subtle changes that occur in different sleep states, and technology has lagged behind innovations in EEG and actigraphy. Here, we applied Eulerian videography to magnify pixels relevant to scoring sleep from video, and then compared these results to analyses based on actigraphy and standard infrared videography. We studied four species of lemurs (Eulemur coronatus, Lemur catta, Propithecus coquereli, Varecia rubra) for 12-hour periods per night, resulting in 6,480 one-minute epochs for analysis. Cramer's V correlation between actigraphy-classified sleep and infrared videography-classified sleep revealed consistent results in 8 out of 9 of the 12 h videos scored. A sample of the infrared videography was then processed by Eulerian videography for movement magnification and re-coded. A second Cramer's V correlation analysis, between two independent scorers coding the same Eulerian-processed video, found that inter-observer agreement among Eulerian videography increased sleep vs. awake, NREM, and REM classifications by 7.1%, 46.7%, and 34.3%, respectively. Furthermore, Eulerian videography was more strongly correlated with actigraphy data when compared to results from standard infrared videography. The increase in agreement between the two scorers indicates that Eulerian videography has the potential to improve the identification of sleep states in lemurs and other primates, and thus to expand our understanding of sleep architecture without the need for EEG.

opencc-zeroSep 2020View details →
zenodo28/100

Figure 7 in In situ infrared videography of sand scorpion nighttime surface activity

Figure 7: P. utahensis collected on March 15, 2008 from sandy area about 24 km SE of Monahans, TX. Three people collected for 1.5 hr and GPS coordinates were taken for each adult located (animal captures are indicated by numbers on photo). The first animal was found at 2030. A total of 68 adults were found; the area of coverage was approximately 2.26 hectares. Total adult scorpion surface density was approximately 30.1 scorpions/ha. The dashed line indicates the general path of the survey crew.

opencc-by-4.0Dec 2011View details →
zenodo28/100

Figure 4 in In situ infrared videography of sand scorpion nighttime surface activity

Figure 4: Scorpion excursions. a. Scorpion 1 excursions. b. Scorpion 2 excursions. n1 = night 1 excursions; n2 = night 2 excursions. Arrows are 10 cm long and point north. Upslope is toward the top of the figures. All scorpion 1 and 2 excursions, except scorpion 2's third excursion on night 2, occurred within seconds of an arthropod passing. A cricket, placed near the burrow of scorpion 1, elicited excursion 1 on night 2.

opencc-by-4.0Dec 2011View details →
ClinicalTrials.gov28/100

Upper Eyelid Dynamics in Pediatric Blepharoptosis Using High Speed Videography

ClinicalTrials.gov study NCT06976645. IPD Sharing: Not stated. Countries: 0. Publications: 5.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad28/100

Data from: Eulerian videography technology improves classification of sleep architecture in primates

Open the record for dataset details and reuse information.

publicNov 2019View details →

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Allen Brain Atlas

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Annotated Behaviour and Observability Dataset (ABODe)

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DANDI Archive for NWB datasets

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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.

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OpenNeuro

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Last verified 2026-04-29Open record