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26 results for “fiber-optic”
Parker Flex-it Stylet Versus Malleable Stylet in Orotracheal Intubation Using a Fiber-optic Laryngoscope
ClinicalTrials.gov study NCT04857190. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Awake Nasal Fiber-optic Intubation of Severely Obese Patients in Lateral Position
ClinicalTrials.gov study NCT04779528. IPD Sharing: NO. Countries: 1. Publications: 0.
Comparing Simulators Used in Fiber-optic Intubation Training Among Anesthesia Residents
ClinicalTrials.gov study NCT04027582. IPD Sharing: YES. Countries: 1. Publications: 0.
Cryogenic Liquid Level-Sensing using Fiber-Optic Strain Sensor (FOSS) Technology Project
<p>Armstrong innovators have developed a highly accurate method for measuring liquid levels using optical fibers. Unlike liquid level gauges that rely on discrete measurements to give broad approximations of liquid levels, Armstrong&rsquo;s novel method provides measurements at &frac14;-inch intervals within a tank. The system uses fiber optic Bragg sensors located along a single fiber optic cable. These sensors actively discern between the liquid and gas states along a continuous fiber to pinpoint the liquid level. This significant leap forward in precision and accuracy in liquid level sensing offers significant benefits to many industries. Designed to monitor a rocket&rsquo;s cryogenic fuel levels, the technology can be used in many medical and industrial applications.</p><p><strong>Work to date</strong>: The technology has been demonstrated in multiple environments using conventional validation techniques. First, water level measurements have been conducted to demonstrate operation within a benign environment. Second, liquid level measurements were conducted in liquid nitrogen using a 6-foot dewer. Measurements also were conducted within a liquid hydrogen environment using a 4-foot dewer. The technology performed well in all three cases, demonstrating the ability to measure liquid to &frac14; inch.&nbsp;</p><p><strong>Looking ahead</strong>: The team continues to push the fields of application with future tests to determine boundary layers between different fluids such as oil and water. Also there are planned opportunities to demonstrate the technology in a NASA-operated cryogenic test bed, simulating a cryogenic fuel management scenario.</p><p><strong><em>Benefits</em></strong></p><ul><li><strong>Precise</strong>: Can gauge liquid levels within a &frac14;-inch</li><li><strong>Simple</strong>: Requires just one fiber optic strand and one metallic wire, as opposed to conventional measurement systems, which require many more wires</li><li><strong>Safe</strong>: Is not susceptible to electromagnetic interference (EMI)</li><li><strong>Robust</strong>: Can be used in corrosive or toxic liquids without damaging the fiber or contaminating the liquid</li></ul><p><strong><em>Applications</em></strong></p><ul><li>Aerospace launch vehicles and satellites</li><li>Chemical and refinery plants</li><li>Industrial tanks</li></ul>
Supporting Data for "Seismic Monitoring of Rockfalls Using Fiber-Optic Distributed Acoustic Sensing"
<p>This file contains data and MATLAB scripts to generate the figures presented in the manuscript "Seismic Monitoring of Rockfalls Using Fiber-Optic Distributed Acoustic Sensing".</p>
Fiber-optic DAS dataset of diverse tunnel disturbance events
<p><strong># Fiber-optic DAS dataset of diverse tunnel disturbance events (doi: 10.5281/zenodo.7116488)</strong></p> <p>This is a fiber-optic DAS dataset of diverse tunnel disturbance events as well as data to support the manuscript "Listening to underground infrastructure: Machine learning-based distributed acoustic sensing enables automated identification of diverse tunnel threats" by Tai-Yin Zhang, Cheng-Cheng Zhang*, and Bin Shi*.</p> <p><strong>## Dataset</strong><br>This repository contains:<br> <br>* `Raw data.zip` is the raw DAS-recorded signals.</p> <p>* `data_24.csv` is a simplified version of the raw data with 24 features.</p> <p>* `data_15.csv` is a simplified version of the raw data with 15 features.</p> <p>* `Details of raw data.xlsx` is a detailed description of the recorded signals, including tunnel conditions (location, type, soil and geographical conditions), sample size distribution, DAS acquisition parameters, cable type and installation method, and whether auxiliary inspection or monitoring methods were used.</p> <p>* `Details of features.xlsx` is a detailed description of the features before and after feature selection.</p> <p><strong>## Dataset</strong><br>Python scripts linked with this dataset are available at https://github.com/njufogeo/AutoTunnelThreatID</p> <p><strong>## Correspondence</strong><br>Correspondence should be addressed to zhang@nju.edu.cn (C.-C.Z.).</p>
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Allen Brain Atlas
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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.