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20 results for “InfraRed Camera”
Top view of DR1/DR2 double riffle, each section contains a spawning ground made up of eight gravel-filled trays, a rest area. The "double riffle" was designed to accommodate two groups from 25 to 50 specimens of broodstock in strictly identical conditions. The spawning grounds are equipped with waterproof, motion-sensing cameras with infrared night vision, connected to a 1000 Gb recorder. The diurnal and nocturnal activities of the two groups can therefore be simultaneously recorded over a long period. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Top view of DR1/DR2 double riffle, each section contains a spawning ground made up of eight gravel-filled trays, a rest area. The "double riffle" was designed to accommodate two groups from 25 to 50 specimens of broodstock in strictly identical conditions. The spawning grounds are equipped with waterproof, motion-sensing cameras with infrared night vision, connected to a 1000 Gb recorder. The diurnal and nocturnal activities of the two groups can therefore be simultaneously recorded over a long period.
Data for: Tailored frequency conversion makes infrared light visible for streak cameras
<p>Data for the publication "Tailored frequency conversion makes infrared light visible for streak cameras".</p> <p>Streak cameras are one of the most common and convenient devices to measure pulsed emission e.g. from semiconductor lightsources with picosecond time resolution. However, they are most sensitive in the visible range and possess low or negligible efficiency in the infrared and telecom regime. In this work, we present a frequency conversion based on sum-frequency generation that converts infrared to visible signals while preserving their temporal properties, making them detectable with a streak camera. We demonstrate and verify the functionality of our device by converting the emission from a quantum dot laser.</p> <p>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB-Geschäftszeichen TRR142/3-2022 – Projektnummer 231447078, Project C01.</p>
Data files for Atmospheric Gravity Wave and Instability Observations from the International Space Station using the Near InfraRed Airglow Camera (NIRAC)
<p>The files in this set are data obtained from the NIRAC airglow imager on the International Space Station. The files are named for a JGR paper by J. Hecht et al. entitled Atmospheric Gravity Wave and Instability Observations from the International Space Station using the Near InfraRed Airglow Camera (NIRAC). These files are for plots in Figures 5,7,10,11,17,18, and 19 in the submitted paper. The files are published here so as to be available for review. This paper should appear in JGR Atmospheres sometime in late 2023 or early 2024. The files that are text files are meant to be read with IDL as discussed in the readme file. </p>
Data from: Shooting area of infrared camera traps affects recorded taxonomic richness and abundance of ground-dwelling invertebrates
<p>Ground-dwelling invertebrates are vital for soil biodiversity and function maintenance. Contemporary biodiversity assessment necessitates novel and automatic monitoring methods because of the threat of sharp reductions in soil biodiversity in farmlands worldwide. Using infrared camera traps (ICTs) is an effective method for assessing richness and abundance of ground-dwelling invertebrates. However, the influence that the shooting area of ICTs has on the diversity of ground-dwelling invertebrates has not been strongly considered during survey design. In this study, data from 6 ICTs with two shooting areas (A1, 38.48 cm<sup>2</sup>; A2, 400 cm<sup>2</sup>) were used to investigate ground-dwelling invertebrates in a farm in a city on the Eastern Coast of China from 20:00 on July 31 to 00:00 on September 29, 2022. Over the course of 59 days and 1,420 h, invertebrates within 9 taxa, 2,447 individuals, and 112,909 ind./m<sup>2</sup> were observed from 222,912 images. Our results show that ICTs with relatively large shooting areas recorded relatively high taxonomic richness and abundance of total ground-dwelling invertebrates, relatively high abundance of the dominant taxon, and relatively high daily and hourly abundance of most taxa. The shooting areas of ICTs significantly affected the recorded taxonomic richness and abundance of ground-dwelling invertebrates throughout the experimental period and at fine temporal resolutions. Overall, these results suggest that the shooting areas of ICTs should be considered when designing experiments, and ICTs with relatively large shooting areas are more favorable for monitoring the diversity of ground-dwelling invertebrates. This study further provides an automatic tool and high-quality data for biodiversity monitoring and protection in farmlands.</p>
Infrared Choroidal Reflectance Camera for the Detection of Childhood Cataract
ClinicalTrials.gov study NCT03035292. IPD Sharing: NO. Countries: 1. Publications: 3.
Videos of corn earworm (Helicoverpa zea) flight behavior around pheromone trap using infrared camera
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Data from: Shooting area of infrared camera traps affects recorded taxonomic richness and abundance of ground-dwelling invertebrates
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Data for: Assessment of the accuracy of counting large ungulate species (red deer Cervus elaphus) with UAV-mounted thermal infrared cameras during night flights
<p>Unmanned Aerial Vehicles (UAVs) are increasingly used in wildlife surveying, including estimation of population densities. It is essential that we evaluate and test new survey methods to guide optimal sampling strategies. This study aimed to assess the accuracy of using a UAV-mounted thermal infrared (TIR) camera to count red deer <em>Cervus elaphus</em> populations, and how this was influenced by flight season, height and velocity, in order to help guide future census design. We flew 57 flights across a captive population of red deer in a 13 ha deer park enclosure of semi-natural habitat, representative of the species' range in northern Germany. Flights and image assessments were performed with no prior knowledge of actual population size. Accuracy was quantified by comparing real population size (known only to deer park staff) and independently estimated population sizes from UAV TIR images. Accuracy was significantly influenced by ecological season (early and late winter, spring and early summer) and height. Across all seasons, lower flights (100 m) performed better than higher ones (120 m), with lower flights in early winter and early summer being on average accurate to within 1% of actual population counts. For the season where we had the largest range of temperatures between flights (late winter) we found that accuracy was highest when temperatures were lowest. Flights were also able to identify all five stags (defined as a male deer ≥2 years old) present in early summer, but not in spring. Deer appeared to avoid the landing/take-off area, but there were no noted behavioural responses to drones flying over animals when at constant height and velocity during surveys. Our results indicate that UAV-mounted TIR camera have the potential to accurately count populations of large ungulate species, but that flight season, height and potentially temperature need to be taken into account to maximise accuracy. This approach has the potential to be scaled up to more accurately estimate densities of wild populations compared to existing approaches.</p>
Prevention of Pressure Wound Development With Infrared Thermal Camera
ClinicalTrials.gov study NCT06219954. IPD Sharing: NO. Countries: 1. Publications: 0.
Infrared Camera for Brain Mapping During Surgery
ClinicalTrials.gov study NCT00001554. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Intraoperative Body Temperature Measurement Using Infrared Camera: Comparison With Esophageal, and Skin Temperatures
ClinicalTrials.gov study NCT04964232. IPD Sharing: UNDECIDED. Countries: 1. Publications: 13.
Respiratory Measurement Using Infrared Camera and Electrical Impedance Tomography for Sedation in Patients Undergoing TURP/TURB Under Spinal Anesthesia
ClinicalTrials.gov study NCT05591469. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Dataset of aerial photographs acquired with UAV using a multispectral (Green, Red and Near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoring
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Data for: Assessment of the accuracy of counting large ungulate species (red deer Cervus elaphus) with UAV-mounted thermal infrared cameras during night flights
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Raw data: A thermal infrared hyperspectral camera based on a birefringent interferometer
<p>In this repository we publish the raw data for the paper "A thermal infrared hyperspectral camera based on a birefringent interferometer"</p> <p>Data types:</p> <ul> <li> <p><strong>QCLs</strong><br><strong>t5</strong>: motor positions used to sample the interferogram of QCL at 5.263 µm [mm]<br><strong>Int5</strong>: corresponding intensity values of the interferogram of QCL at 5.263 µm as absolute value of the trace of the lock-in detector connected to the MCT [arbitrary counts]<br><strong>t7</strong>: motor positions used to sample the interferogram of QCL at 7.675 µm [mm]<br><strong>Int7</strong>: corresponding intensity values of the interferogram of QCL at 7.675 µm as absolute value of the trace of the lock-in detector connected to the MCT [arbitrary counts]<br><strong>t9</strong>: motor positions used to sample the interferogram of QCL at 9.073 µm [mm]<br><strong>Int9</strong>: corresponding intensity values of the interferogram of QCL at 9.073 µm as absolute value of the trace of the lock-in detector connected to the MCT [arbitrary counts]<br><strong>t9_short</strong>: motor positions used to sample the interferogram of QCL at 9.073 µm (shorter scan with smaller step) [mm]<br><strong>Int9_short</strong>: corresponding intensity values of the interferogram of QCL at 9.073 µm as absolute value of the trace of the lock-in detector connected to the MCT (shorter scan with smaller step) [arbitrary counts]</p> </li> <li> <p><strong>DFG_orig</strong><br><strong>tDFG</strong>: motor positions used to sample the DFG signal [mm]<br><strong>IntDFG</strong>: corresponding intensity values of the DFG signal as absolute value of the trace of the lock-in detector connected to the MCT [arbitrary counts]</p> </li> <li> <p><strong>DFG</strong><br><strong>tDFG</strong>: motor positions used to sample the DFG signal, delay corrected, cropped, and centered [mm]<br><strong>IntDFG</strong>: corresponding intensity values of the DFG signal as absolute value of the trace of the lock-in detector connected to the MCT, low-frequency corrected, inverted and normalized to the mean [arbitrary counts]</p> </li> <li> <p><strong>Kanthal_orig<br>tKanthal</strong>: motor positions used to sample the Kanthal signal [mm]<br><strong>IntKanthal</strong>: corresponding intensity values of the Kanthal signal as absolute value of the trace of the lock-in detector connected to the MCT [arbitrary counts]</p> </li> <li> <p><strong>Kanthal<br>tKanthal</strong>: motor positions used to sample the Kanthal signal [mm]<br><strong>IntKanthal</strong>: corresponding intensity values of the Kanthal signal as absolute value of the trace of the lock-in detector connected to the MCT, linearly detrended, inverted and normalized to the mean [arbitrary counts]</p> </li> <li> <p><strong>Quartz</strong><br><strong>t</strong>: motor positions used to sample the quartz emission [mm]<br><strong>HyperMatrix</strong>: temporal hypercube of the quartz emission containing one bolometer image for every motor position [arbitrary counts]</p> </li> <li> <p><strong>Filters</strong><br><strong>t_Filters</strong>: motor positions used to sample the filters transmitted light [mm]<br><strong>HyperMatrix_Filters</strong>: temporal hypercube of the filters transmitted light containing one bolometer image for every motor position [arbitrary counts]</p> </li> <li> <p><strong>Hotplate</strong><br><strong>t_Hotplate</strong>: motor positions used to sample the hotplate emission [mm]<br><strong>HyperMatrix_Hotplate</strong>: temporal hypercube of the hotplate emission containing one bolometer image for every motor position [arbitrary counts]</p> </li> </ul>
Respiratory Measurement Using Infrared Camera and Respiratory Volume Monitor (ExSpiron 1Xi) for Sedation in Patients Undergoing TURP/TURB Under Spinal Anesthesia
ClinicalTrials.gov study NCT02993497. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
A Study to Validate Comparability of an Infrared Thermographic Camera Versus Oral, Forehead, and Ear Thermometers When Determining Body Temperature in Adult Participants
ClinicalTrials.gov study NCT04968080. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Infrared Cameras and Non-contact Infrared Thermometers for Measuring Body Temperatures
ClinicalTrials.gov study NCT04370743. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Near Infrared Camera and Multi Object Spectrograph
The HST Near Infrared Camera and Multi-Object Spectrometer (NICMOS) provides imaging capabilities in broad, medium, and narrow band filters, broad-band imaging polarimetry, coronographic imaging, and slitless grism spectroscopy, in the wavelength range 0.8-2.5 microns. NICMOS has three adjacent but not contiguous cameras, designed to operate independently, each with a dedicated array at a different magnification scale.
NASA 3D Models: Infrared Camera
Infrared camera.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.