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2,170 results for “clouds”
Camden Lock, London - 3D Point Cloud (E,C)
Camden Lock, London, UK "Camden Lock is a small part of Camden Town, London Borough of Camden, England, which was formerly a wharf with stables on the Regent's Canal." 3D Point Cloud - Preview (External, Coloured) SIAD REF: OX116 Source: Objaverse 1.0 / Sketchfab
Dataset for manuscript "Regional variability of aerosol impacts on clouds and radiation in global kilometer-scale simulations"
<p>This dataset includes two Jupyterlab book python script and a folder of compressed data. (latest version includes updated script to fix mising variable)</p> <p>Due to the size of the dataset we are unable to include the raw simulation output but have instead inluded all datasets required to plot the figures.</p> <p>The python script "original_analysis_script.ipynb" contains the code that was used to perform the analysis on the outputs from the simulations. This is not intended for public use.</p> <p>The python script "figure_plotting_scripts.ipynb" is a cut-down verison of the original code that can be used to plot the figures as presented in the manuscript. All neccessary data to achieve this can be found in the compressed folder "data_arrays". </p> <p>The scripts will run on Jupyterlab book. Providing the user has the neccessary python modules available the plotting script can be run by amending the paths for the figure outout directory and the uncompressed "data_arrays" directory. These paths can be found at the top of the script.</p> <p> </p>
Verification Protocol for the Cloud DX Vitaliti Continuous Vital Signs Monitor (VERDICT-2)
ClinicalTrials.gov study NCT05886153. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Home-Use Impact and Effectiveness of Cloud 9
ClinicalTrials.gov study NCT02688335. IPD Sharing: NO. Countries: 1. Publications: 0.
Use of a Cloud-connected Remote Blood Pressure Monitoring Program During the Postpartum Period for Hypertensive Women
ClinicalTrials.gov study NCT06096701. IPD Sharing: NO. Countries: 1. Publications: 0.
Modex, a Cloud-based, Centralized Health Economic Model Marketplace to Reduce Costs and Enhance Equity in Cancer
ClinicalTrials.gov study NCT07361458. IPD Sharing: YES. Countries: 1. Publications: 0.
CLOUD-R HAE REGISTRY
ClinicalTrials.gov study NCT03845946. IPD Sharing: NO. Countries: 1. Publications: 0.
An Evaluation of the Pink Cloud Application in Post- Treatment Substance Use Disorder Support
ClinicalTrials.gov study NCT07042451. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Cloud-Based Mapping for Personalized Ablation
ClinicalTrials.gov study NCT04127123. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Testing the Feasibility of the DASH Cloud Intervention Using Amazon Alexa
ClinicalTrials.gov study NCT03455946. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Calibration of the Average Breathing Rate Measurement of the Cloud DX Pulsewave Health Monitor (PAD-2A) Device (CCV-3)
ClinicalTrials.gov study NCT04868630. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Artificial Intelligence (AI) Enabled, Cloud-based ECG Diagnostic Solution (ZBPro) Feasibility Testing
ClinicalTrials.gov study NCT06013917. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Patient Centered Cloud-based Electronic System: Ambient Warning and Response Evaluation (ProCCESs AWARE)
ClinicalTrials.gov study NCT02039297. IPD Sharing: NO. Countries: 1. Publications: 0.
Gastrointestinal Endoscopy Artificial Intelligence Cloud Platform in Gastrointestinal Endoscopy Screening
ClinicalTrials.gov study NCT05435872. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effectiveness of a Cloud-based Digital Health Navigation Program for Colorectal Cancer Screening
ClinicalTrials.gov study NCT06821009. IPD Sharing: YES. Countries: 1. Publications: 0.
Scripps Digital Diabetes: Cloud-Based Continuous Glucose Monitoring (CB CGM)
ClinicalTrials.gov study NCT04269655. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Development of a Cloud-Based PRO (Patient-Reported Outcome) Management Program for Home-Based Cancer Pain Care
ClinicalTrials.gov study NCT07308223. IPD Sharing: NO. Countries: 1. Publications: 0.
The Impact of Intelligent Nursing Based on Health Cloud Platform on Active Health Management of Urostomy Patients
ClinicalTrials.gov study NCT07201441. IPD Sharing: Not stated. Countries: 1. Publications: 0.
MODIS/Aqua Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km - NRT
The MODIS level-2 cloud mask product is a global product generated for both daytime and nighttime conditions at 1-km spatial resolution (at nadir) and for daytime at 250-m resolution. The algorithm employs a series of visible and infrared threshold and consistency tests to specify confidence levels that an unobstructed view of the Earth's surface is observed. The Terra MODIS Photovoltaic (PVLWIR) bands 27-30 are known to experience an electronic crosstalk contamination. The influence of the crosstalk has gradually increased over the mission lifetime, causing for example, earth surface features to become prominent in atmospheric band 27, increased detector striping, and long term drift in the radiometric bias of these bands. The drift has compromised the climate quality of C6 Terra MODIS L2 products that depend significantly on these bands, including cloud mask (MOD35), cloud fraction and cloud top properties (MOD06), and total precipitable water (MOD07). A linear crosstalk correction algorithm has been developed and tested by MCST.The electronic crosstalk correction was made to the calibration algorithm for bands 27-30 and implemented into C6.1 operational L1B processing. This implementation greatly improves the performance of the cloud mask.The shortname for this Level-2 MODIS cloud mask product is MYD35_L2 and the principal investigator for this product is MODIS scientist Dr. Paul Menzel ( paulm@ssec.wisc.edu). MYD35_L2 product files are stored in Hierarchical Data Format (HDF-EOS). Each of the 9 gridded parameters is stored as a Scientific Data Set (SDS) within the HDF-EOS file. The Cloud Mask and Quality Assurance SDS's are stored at 1 kilometer pixel resolution. All other SDS's (those relating to time, geolocation, and viewing geometry) are stored at 5 kilometer pixel resolution. MYD35_L2 Data Group and Parameters:Spatial and Temporal Resolution:Latitude and LongitudeScan start timeSolar and Sensor Viewing Geometry:Solar zenith and Solar azimuth angleSensor zenith and Sensor azimuth angleScience Parameters:Cloud Mask (1km) Cloud Mask (250 m) Quality Assurance Parameters: Quality Assurance Flags (1km)Link to the MODIS homepage for more data set information: https://modis-atmos.gsfc.nasa.gov/products/cloud-maskLink to the MODIS homepage for C6.1 changes:https://modis-atmos.gsfc.nasa.gov/documentation/collection-61
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) ECMWF Cloud Data
A special set of analysis products for the Atlantic Stratocumulus Transition Experiment (ASTEX) region during June 1-28, 1992 was prepared by Ernst Klinker and Tony Hollingsworth of the European Centre for Medium-range Forecasting (ECMWF), and reformatted by Chris Bretherton of Univ. of Washington. These analyses, or more correctly initializations and very short range forecasts using the ECMWF T213L30 operational model, incorporate routine observations from the global network and special soundings from ASTEX that were sent to ECMWFduring ASTEX via the GTS telecommunication system. About 650 special soundings were incorporated, including nearly all soundings from SantaMaria, Porto Santo, and the French ship Le Suroit, most of the soundings taken on the Valdivia and Malcolm Baldridge, and almost noneof the soundings from the Oceanus. Surface reports from the research ships were also incorporated into the analyses after the first week of the experiment. Aircraft soundings were not included in the analyses. ECMWF has requested that anyone making use of this data set acknowledge them, and that those investigators publishing research that makes more than casual use of this data set contact Ernst Klinker or Tony Hollingsworth.The data have been decoded by Chris Bretherton into ASCII files, one for each horizontal field at a given level and base time. All data have the same horizontal resolution of 1.25 degrees in latitude and longitude and correspond to base (initialization) times of 00, 06, 12, or 18Z. Different fields have different lat/lon ranges and sets of available vertical levels, as tabulated below. Also, some fields are instantaneous (I) while others are accumulated (A) over the first 6 hours of a forecast initialized at the base time. This is tabulated in the 'time range' column below. Instantaneous fields are bestcompared with data at the base time, while accumulated fields are best compared with data three hours after the base time.Data Set Name ECMWF ECMWF Time Field Units field ID# range abbrev.----------- ------ ----- ----- ----- -----CLOUDS CLW 212 I Cloud liquid water kg/kg CF 213 I Cloud fraction 0-1(lat/lon range: 35W to 05W, 20N to 45N)(levels: 1010,1000,975,950,925,900,875,850,825,800,775,750,700,650,600,550,500,400,300,200,100 HPa)The ECMWF field abbreviation, ID#, field description and units aretaken directly from ECMWF Code Table 2, in case you ever need toconsult with ECMWF about this data set.
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