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661 results for “temperature measurement”
Prizma Device Temperature Measurement
ClinicalTrials.gov study NCT03340441. IPD Sharing: NO. Countries: 1. Publications: 0.
Feasibility and Accuracy of Core Temperature Measurements Using the Esophageal Temperature Probe Inserted Through the Gastric Lumen of Supraglottic Airway Device in Pediatrics
ClinicalTrials.gov study NCT05705206. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Measurement of Core Temperatures During Therapeutic Hypothermia
ClinicalTrials.gov study NCT01292148. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Performance Study of the Thermodiag Solution for Body Temperature Measurement
ClinicalTrials.gov study NCT06703931. IPD Sharing: NO. Countries: 1. Publications: 0.
Accuracy of Body Temperature Measurements Using the Esophageal Temperature Probe Inserted Through the Gastric Lumen of Supraglottic Airway Device
ClinicalTrials.gov study NCT04485923. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
S-MODE L2 Shipboard Conductivity, Temperature, and Depth Measurements Version 1
This dataset contains shipboard conductivity, temperature, and depth (CTD) measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The shipboard CTD rosette is cast from the R/V Oceanus where it records ocean temperature, conductivity, and pressure as it descends to depth and then returns to the surface. IOP1 and IOP2 measurements also contain biological data. Data are available in netCDF format.
ATTREX Global Hawk UAS Remote Sensing Temperature Measurements
ATTREX-Aircraft_RemoteSensing_Temperature_Measurements are remotely sensed temperature profiles collected onboard the Global Hawk Uninhabited Aerial System (UAS) during the Airborne Tropical TRopopause EXperiment (ATTREX) campaign. This collection consists of remotely sensed temperature profiles collected by the Microwave Temperature Profiler (MTP) during the 2011 and 2013 deployments over California, and 2014 deployment over Guam. Data collection is complete.Even though it is typically found in low concentrations, stratospheric water vapor has large impacts on the Earth’s climate and energy budget. Studies have suggested that even relatively small changes in stratospheric humidity may have significant climate impacts and future changes in stratospheric humidity and ozone concentration in response to a changing climate are significant climate feedbacks. Tropospheric water vapor climate feedback is typically well represented in global models. However, predictions of future changes in stratospheric humidity are highly uncertain due to gaps in our understanding of physical processes occurring in the region of the atmosphere that controls the composition of the stratosphere, the Tropical Tropopause Layer (TTL, ~13-18 km). The ability to predict future changes in stratospheric ozone are also limited due to uncertainties in the chemical composition of the TTL. In order to address these uncertainties, the Airborne Tropical Tropopause Experiment (ATTREX) was completed. Instruments during ATTREX provided measurements to trace the movement of reactive halogen-containing compounds and other important chemical species, the size and shape of cirrus cloud particles, water vapor, and winds in three dimensions through the TTL. Bromine-containing gases were measured to improve understanding of stratospheric ozone. ATTREX consisted of four NASA Global Hawk Uninhabited Aerial System (UAS) campaigns deployed from NASA’s Armstrong Flight Research Center (formally Dryden Flight Research Center). Campaigns were deployed over Edwards, CA, Guam, Hawaii, and Darwin, Australia in Boreal summer, winter, fall, and summer, respectively.
Measurement of temperature affects on Arabidopsis transcription and decay rates
GEO Series GSE53071. Arabidopsis thaliana. 24 samples. Type: Expression profiling by array.
Comparison of Tracheal Temperature Measured Using Endotracheal Tube (ETT) Thermometer Before and After Neck Hyperextension in Patients Undergoing Laryngeal Microsurgery
ClinicalTrials.gov study NCT05608174. IPD Sharing: NO. Countries: 0. 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.
Prospective Study to Validate the Clinical Accuracy of Norbert Device to Measure Body Temperature
ClinicalTrials.gov study NCT05640310. IPD Sharing: NO. Countries: 0. Publications: 0.
Effect of Environmental Temperature on Vascular Ultrasound Vein Scan Measurements
ClinicalTrials.gov study NCT06191237. IPD Sharing: NO. Countries: 0. Publications: 0.
Continuous Temperature Measurement by Thermal Imaging Camera
ClinicalTrials.gov study NCT06256978. IPD Sharing: NO. Countries: 0. Publications: 0.
Safety and Efficacy Study of the First Domestically Produced FireMagic™ PreciSense™ 3D Microelectrode Ablation Catheter Therapy for Rapid Arrhythmia With Tissue Temperature Measurement Function
ClinicalTrials.gov study NCT07032948. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Changes in Aviators' Body Core Temperature Measurements at F-35
ClinicalTrials.gov study NCT03234270. IPD Sharing: NO. Countries: 0. Publications: 0.
TWINS 1 Images of Plasma Sheet Ion Temperature during Storms calculated from Energetic Neutral Atom (ENA) Measurements
TWINS, Two Wide-angle Imaging Neutral-atom Spectrometers, is a Mission of Opportunity under NASA's Small Explorer, SMEX, Program. TWINS-1 and TWINS-2 are the Designations for NASA-Sponsored Instruments flying on Unspecified Non-NASA U.S. Government Spacecraft. The TWINS-1 Instrument High Voltages were turned on in April 2007 and the TWINS-2 High Voltages were turned in May 2008; the Exact Launch Dates are not available. The Data, including both Science Data and Spacecraft Ephemeris and Attitude Information, from the two NASA-Funded Science Instruments are publicly available to the Scientific Research Community. See https://earth.esa.int/web/eoportal/satellite-missions/t/twins/. TWINS is a Stereo Mission whose overall Scientific Objective is to establish the Global Connectivities and Causal Relationships between Processes in Different Regions of the Earth's Magnetosphere. To meet this Goal, TWINS-1 and TWINS-2 provide Stereoscopic Neutral Atom Imaging of the Magnetosphere from Two Widely Spaced, High-Altitude, High-Inclination Spacecraft. TWINS Instrumentation includes an Energetic Neutral Atom, ENA, Imager to capture Charge-Exchange-Produced Neutral Atoms over a Broad Energy Range, approximately from 1 keV ro 100 keV, and a Lyman-alpha Detector to measure the Density of the Neutral Hydrogen Geocorona needed for Extraction of Magnetospheric Ion Fluxes from Neutral Atom Data. The TWINS-1 and TWINS-2 Instruments are identical. Each Spacecraft carrying TWINS Instruments is in a Molniya Orbit, 63.4°, 7.2 Re Apogee, 1000 km Perigee and Period 12 hr. The TWINS Spacecraft are 3-Axis stabilized and with Nadir-Pointing. Each acquires Image Data with Time Resolution of 60 s. The Time required to change Actuator Direction between Scans, an Interval with no Data Collection, was 25 s from June 2008 to July 2009, and 12 s at all other Times. This gives an Effective Cadence of 72 or 85 s. The Nominal Design Lifetime for each Instrument is four Years. TWINS operates only during the Apogee Portion of each Orbit, when the Spacecraft is above the Radiation Belts. The TWINS Lyman-alpha Detector consists of two independent Sensors to measure Lyman-alpha Radiation being emitted by Neutral Hydrogen Atoms. The Sensors oriented at Angles of 40° with respect to the Actuator Spin Axis. Each Sensor has a Full Width, Half Maximum, FWHM, Field-of-View of 4°, defined by Collimation Hole Baffles, uses Lyman-alpha Interference Filters as Narrow Band Transmissions Filters, and applies a KBr or CsI Photodiode for Photon Detection. The Lyman-alpha Detector is located on the rotating Actuator Platform to provide Full 360° Azimuthal Angle Coverage Time resolution is 60 s.
MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR V001
This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, is an improved, enhanced-resolution, gridded passive microwave Earth System Data Record (ESDR) for monitoring cryospheric and hydrologic time series from SMMR, SSM/I-SSMIS, and AMSR-E. It is derived from the most mature and available Level-2 satellite passive microwave records from 1978 through the present.
TWINS 2 Images of Plasma Sheet Ion Temperature during Storms calculated from Energetic Neutral Atom (ENA) Measurements
TWINS, Two Wide-angle Imaging Neutral-atom Spectrometers, is a Mission of Opportunity under NASA's Small Explorer, SMEX, Program. TWINS-1 and TWINS-2 are the Designations for NASA-Sponsored Instruments flying on Unspecified Non-NASA U.S. Government Spacecraft. The TWINS-1 Instrument High Voltages were turned on in April 2007 and the TWINS-2 High Voltages were turned in May 2008; the Exact Launch Dates are not available. The Data, including both Science Data and Spacecraft Ephemeris and Attitude Information, from the two NASA-Funded Science Instruments are publicly available to the Scientific Research Community. See https://earth.esa.int/web/eoportal/satellite-missions/t/twins/. TWINS is a Stereo Mission whose overall Scientific Objective is to establish the Global Connectivities and Causal Relationships between Processes in Different Regions of the Earth's Magnetosphere. To meet this Goal, TWINS-1 and TWINS-2 provide Stereoscopic Neutral Atom Imaging of the Magnetosphere from Two Widely Spaced, High-Altitude, High-Inclination Spacecraft. TWINS Instrumentation includes an Energetic Neutral Atom, ENA, Imager to capture Charge-Exchange-Produced Neutral Atoms over a Broad Energy Range, approximately from 1 keV ro 100 keV, and a Lyman-alpha Detector to measure the Density of the Neutral Hydrogen Geocorona needed for Extraction of Magnetospheric Ion Fluxes from Neutral Atom Data. The TWINS-1 and TWINS-2 Instruments are identical. Each Spacecraft carrying TWINS Instruments is in a Molniya Orbit, 63.4°, 7.2 Re Apogee, 1000 km Perigee and Period 12 hr. The TWINS Spacecraft are 3-Axis stabilized and with Nadir-Pointing. Each acquires Image Data with Time Resolution of 60 s. The Time required to change Actuator Direction between Scans, an Interval with no Data Collection, was 25 s from June 2008 to July 2009, and 12 s at all other Times. This gives an Effective Cadence of 72 or 85 s. The Nominal Design Lifetime for each Instrument is four Years. TWINS operates only during the Apogee Portion of each Orbit, when the Spacecraft is above the Radiation Belts. The TWINS Lyman-alpha Detector consists of two independent Sensors to measure Lyman-alpha Radiation being emitted by Neutral Hydrogen Atoms. The Sensors oriented at Angles of 40° with respect to the Actuator Spin Axis. Each Sensor has a Full Width, Half Maximum, FWHM, Field-of-View of 4°, defined by Collimation Hole Baffles, uses Lyman-alpha Interference Filters as Narrow Band Transmissions Filters, and applies a KBr or CsI Photodiode for Photon Detection. The Lyman-alpha Detector is located on the rotating Actuator Platform to provide Full 360° Azimuthal Angle Coverage Time resolution is 60 s.
ATTREX-Aircraft_RemoteSensing_Temperature_Measurements
ATTREX-Aircraft_RemoteSensing_Temperature_Measurements are remotely sensed temperature profiles collected onboard the Global Hawk Unihabited Aerial System (UAS) during the Airborne Tropical TRopopause EXperiment (ATTREX) campaign. This collection consists of remotely sensed temperature profiles collected by the Microwave Temperature Profiler (MTP) during the 2011 and 2013 deployments over California, and 2014 deployment over Guam. Data collection is complete. Even though it is typically found in low concentrations, stratospheric water vapor has large impacts on the Earth’s climate and energy budget. Studies have suggested that even relatively small changes in stratospheric humidity may have significant climate impacts and future changes in stratospheric humidity and ozone concentration in response to a changing climate are significant climate feedback. Tropospheric water vapor climate feedback is typically well represented in global models. However, predictions of future changes in stratospheric humidity are highly uncertain due to gaps in our understanding of physical processes occurring in the region of the atmosphere that controls the composition of the stratosphere, the Tropical Tropopause Layer (TTL, ~13-18 km). The ability to predict future changes in stratospheric ozone are also limited due to uncertainties in the chemical composition of the TTL. In order to address these uncertainties, the Airborne Tropical Tropopause Experiment (ATTREX) was completed. Instruments during ATTREX provided measurements to trace the movement of reactive halogen-containing compounds and other important chemical species, the size and shape of cirrus cloud particles, water vapor, and winds in three dimensions through the TTL. Bromine-containing gases were measured to improve understanding of stratospheric ozone. ATTREX consisted of four NASA Global Hawk Uninhabited Aerial System (UAS) campaigns deployed from NASA’s Armstrong Flight Research Center (formally Dryden Flight Research Center). Campaigns were deployed over Edwards, CA, Guam, Hawaii, and Darwin, Australia in Boreal summer, winter, fall, and summer, respectively.
Dataset of Vibration, Temperature and Speed Measurements for Multiple Types of Localized Defects on Spherical Roller Bearings across Multiple Operating Conditions
<p><strong>Description:</strong></p> <p>This dataset has been created by the ISED group of Politecnico di Torino to address the lack of data available for developing fault detection models and/or predictive maintenance systems for medium/large-sized spherical roller bearings, commonly used in industrial settings.</p> <p>The data were collected using <a href="https://www.skf.com/it/products/rolling-bearings/roller-bearings/spherical-roller-bearings/productid-22240%20CCK%2FW33">SKF 22240 CCK/W33 spherical roller bearings</a> through an extensive experimental campaign on the medium/large-scale bearing test rig (capable of testing bearings with an outer diameter up to 420 mm), developed by the ISED research group at Politecnico di Torino (<a href="https://www.dimeas.polito.it/la_ricerca/gruppi/ised_industrial_systems_engineering_and_design">ISED Research Group</a>). The technical details of the test rig can be found in <a href="https://www.mdpi.com/2075-1702/10/1/54">this Paper</a>.</p> <p>The dataset contains data for individual localized defects applied to one of the four bearings tested simultaneously on the rig, which is capable of independently applying both axial and radial loads.</p> <p><strong>Dataset Structure:</strong></p> <p>The dataset is organized into four folders:</p> <ul> <li><code>Undamaged</code></li> <li><code>InnerRaceDamage</code></li> <li><code>OuterRaceDamage</code></li> <li><code>RollerDamage</code></li> </ul> <p>The <code>Undamaged</code> folder contains data for all bearings in healthy condition. The other folders contain data from tests where one of the bearings presents a localized defect. The defects, introduced by chip removal, have a diameter of 2 mm and a depth of 0.5 mm, affecting either the <strong>inner race</strong> (IR), <strong>outer race</strong> (OR), or <strong>roller elements</strong> (B). More detailed information about the defect geometry and location can be found in the following publications:</p> <ul> <li><a href="https://www.mdpi.com/1424-8220/23/1/211">Intelligent Fault Diagnosis of Industrial Bearings Using Transfer Learning and CNNs Pre-Trained for Audio Classification</a></li> <li><a href="https://www.mdpi.com/2076-3417/13/4/2038">Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring</a></li> <li><a href="https://www.mdpi.com/2076-3417/13/22/12458">Zero-Shot Generative AI for Rotating Machinery Fault Diagnosis: Synthesizing Highly Realistic Training Data via Cycle-Consistent Adversarial Networks</a></li> </ul> <p>Each folder contains <code>.mat</code> files named according to the following format:</p> <p><code>(<em>Nominal_Rotation_Speed</em>)rpm_(<em>Radial_Force</em>)kN_(<em>Axial_Force</em>)kN.mat</code></p> <p>Where:</p> <ul> <li><strong>Nominal_Rotation_Speed</strong> is the machine's nominal rotational speed</li> <li><strong>Radial_Force</strong> is the radial force applied to the bearing</li> <li><strong>Axial_Force</strong> is the axial force applied to the bearing</li> </ul> <p>The dataset includes measurements from 10 different nominal rotation speeds and four load conditions, one of which includes an axial load. In some cases, "ramp" files are included, containing data where the rotational speed was linearly varied during the test.</p> <p>Each <code>.mat</code> file contains multiple structures, depending on the type of test. Each structure is labeled as <code>Signal_</code> followed by a number (0, 1, 2, 3, 4), where each represents a specific signal extracted during the test. There is no fixed correspondence between the signal number and the type of measurement. For example, <code>Signal_2</code> does not always represent the accelerometer signal. Users are encouraged to inspect the <code>y_values.quantity</code> field to identify the signal's unit and nature. For instance, if <code>y_values.quantity.label</code> shows "g", the signal corresponds to an accelerometric measurement.</p> <p>All signals have been exported using the <strong>MKS system</strong>, so <code>y_values.values</code> contains data in units of m/s² for acceleration signals. To convert the values to the unit indicated in <code>y_values.quantity.label</code>, users can apply the multiplication factor and offset provided in <code>y_values.quantity.unit_transformation</code>. In the case of accelerometric data, the multiplication factor is 0.1020, converting <code>y_values.values</code> from m/s² to g.</p> <p>A more detailed description of the data structure can be found in the Test.Lab documentation.</p> <p>In addition to acceleration data, the files include temperature signals, tacho sensor signals measuring shaft speed, and tacho impulse signals. In some cases, there is also a signal measured in "N", representing the frictional force generated by the bearings (as detailed in <a href="https://www.mdpi.com/2075-1702/10/1/54">this Paper</a>). This friction force signal is not always present, as the load cell could go into overload during certain tests.</p> <p><strong>Sensor Data Organization:</strong></p> <p>Acceleration and temperature data are presented in tables with four columns, each corresponding to one of the four bearings. In the damaged condition tests, the damaged bearing is always the one corresponding to sensor 4 (i.e., <code>y_values.values(:, 4)</code>).</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.