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31 results for “radon”

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zenodo28/100

RADON Models I

<p>The RADON Particles repository contains TOSCA blueprints, reusable definitions and extensions to deploy and manage RADON applications. It provides reusable TOSCA types of application runtimes, computing resources, and FaaS platforms in the form of abstract as well as deployable modeling entities. The repository also comprises RADON&#39;s FaaS abstraction layer that provides several TOSCA definitions to deploy a particular FaaS application component to different cloud providers.</p>

opencc-by-4.0Sep 2019View details →
zenodo28/100

Figure 1 in Radon and material radiopurity assessment for the NEXT double beta decay experiment

Figure 1 Geogcaphic position of Ciecca NanchititSa NatucaS Pack (CNNP) in centcaS Mexico.

opennotspecifiedDec 2015View details →
zenodo28/100

Rectangles detected with the discrete Central multi-scale Radon transform

<p>A screen recording of a demonstration mobile phone application that uses the discrete Central Radon transfom to detect, in real-time, the most prominent rectangle seen by the device&#39;s camera.</p>

opencc-by-4.0Sep 2021View details →
zenodo28/100

Radon and environmental parameters measured at Krasnohorska cave (Slovakia)

<p>Measurements of radon activity concentration and environmental parameters performed in the atmosphere of the Krasnohorska cave (Slovakia) during a field campaign in the framework of PT-SK bilateral project RADCAMIN (RADon in CAves and MINes &ndash; Portuguese and Slovak case studies). The radon measurements (10 minutes interval) are performed with a portable wireless sensor TSRP1 (Tesla, a.s., Hloubět&iacute;n, Czech Republic), suitable for wet environments. The sensor records pressure, temperature and relative humidity in hourly intervals. Dataset is organised in 8 columns as follows: the date (in the dd/mm/yy format), the time (in HH:MM:SS format), the radon activity concentration (in Bq/m3), the date (in the dd/mm/yy format), the time (in HH:MM:SS format), the pressure (in hPa), the temperature (in deg Celsius) and relative humidity (in %).</p> <p>&nbsp;</p> <p><strong>Spatial Coverage</strong>:&nbsp;48.62137N 20.59871E</p> <p><strong>Temporal Coverage:</strong>&nbsp;2019/07/26 - 2019/07/28</p> <p><strong>Project</strong>:&nbsp;RADCAMIN (RADon in CAves and MINes &ndash; Portuguese and Slovak case studies)</p>

opencc-by-4.0Dec 2021View details →
ClinicalTrials.gov28/100

Evaluation of the Effectiveness of Spa Treatment in Swieradow Zdroj With Special Regard to the Action of Radon Waters

ClinicalTrials.gov study NCT03274128. IPD Sharing: UNDECIDED. Countries: 0. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
nasa28/100

BOREAS TGB-12 Radon-222 Activity Data over the NSA

The BOREAS TGB-12 team made measurements of soil carbon inventories, carbon concentration in soil gases, and rates of soil respiration at several sites to estimate the rates of carbon accumulation and turnover in each of the major vegetation types. Sampling strategies for soils were designed to take advantage of local fire chronosequences, so that the accumulation of C in regrowing mosses could be determined. All the data are used to (1) calculate the inventory of C and N in moss and mineral soil layers at NSA sites (2) determine the rates of input and turnover (using both accumulation since the last stand-killing fire and radiocarbon data) and (3) link changes in soil respiration rate to shifts in the 14C content of soil CO2 to determine the average 'age' respired CO2. These 222Rn activity data were collected from 15-NOV-1993 to 16-AUG-1994 over the NSA sites.

restrictednotspecifiedApr 2025View details →
nasa28/100

BOREAS TGB-12 Radon-222 Flux Data: NSA

The BOREAS TGB-12 team made measurements of soil carbon inventories, carbon concentration in soil gases, and rates of soil respiration at several sites to estimate the rates of carbon accumulation and turnover in each of the major vegetation types. Sampling strategies for soils were designed to take advantage of local fire chronosequences, so that the accumulation of carbon in new moss growth could be determined. All the data are used to 1) calculate the inventory of carbon and nitrogen in moss and mineral soil layers at NSA sites, 2) determine the rates of input and turnover (using both accumulation since the last stand-killing fire and radiocarbon data), and 3) link changes in soil respiration rate to shifts in the 14C content of soil CO2 to determine the average 'age' respired CO2. These 222Rn flux data were collected from 15-NOV-1993 to 16-AUG-1994 over the NSA sites.

restrictednotspecifiedApr 2025View details →
geo24/100

Radon Exposure Delays the Development of Skin Lesions in a Mouse Model of Psoriasis

GEO Series GSE292505. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2025View details →
ClinicalTrials.gov20/100

Radon Asthma Intervention Trial

ClinicalTrials.gov study NCT06706336. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Impact of Smoking Information on Concerns About Radon

ClinicalTrials.gov study NCT03499535. IPD Sharing: YES. Countries: 0. Publications: 0.

controlledIPD-YESFeb 2026View details →
zenodo12/100

Temporal variation of Radon measurements in three wells in the Phlegraean Fields, using LR-115 Type II Nuclear Track Detector

<p><strong>Radon-222 (222Rn), formed within the&nbsp;238U chain by decay of&nbsp;226Ra, is the main radioactivity source of groundwater. Radon has three radioactive isotopes but only&nbsp;222Rn is of interest having a half-life of 3.8 days, since&nbsp;219Rn and&nbsp;220Rn are short-lived isotopes (3.8 s and 55.6 s, respectively).</strong></p> <p><strong>The values of radon and temperature measured in three wells in the Phlegraean Fields in the 1980s, 1990s and early 2000s are reported.</strong></p> <p><strong>The wells are: Damiani hot well, Costagliola cold well, Tortorelli hot well.</strong></p> <p><strong>Measur&nbsp;at Tortorelli were interrupted in 1993, because of technical problems, while for Damiani and Costagliola were interrupted in 2006</strong></p> <p><strong>To measure radon content we used the track-etch method. </strong></p> <p><strong>This technique uses a particle sensitive cellulose nitrate film (Kodak LR-115 type II) as the detector. The measured track density (Track/cm2 /day). </strong></p> <p><strong>A 2 x 4 cm strip of alpha-particle sensitive film is fixed into the internal top of a bell-shaped brass cylinder, long 0.2m, opened at its lower end, into which gas is permitted to flow. </strong></p> <p><strong>The cylinder was positioned about 30 cm above the water, so that the film strip can record the traces made by the radon expelled from the water.</strong></p> <p><strong>The method is commonly used in wells because water collects radon as it migrates through the rocks not only about the measurement point but for a wide area. </strong></p> <p><strong>The time interval between measurements was about 10-15 days for the cold well (Costagliola well) and about 7 days for the hot wells (Damiani and Tortorelli). </strong></p> <p><strong>The sensitive films were treated with 10% NaOH at 60&deg;C for 90 minutes in the laboratory to enlarge the recorded alpha-tracks. The track shape depends on the energy and angle of incidence of alpha tracks</strong></p> <p><strong>Tracks were counted using a microscope with a magnification of 160X. </strong></p> <p><strong>Low radon content is detected in the cold well (Costagliola; temperature ranges between 20-27&deg;C) , whilst radon contents in the hot wells (Damiani and Tortorelli; temperature 44&deg;-52&deg;C and 60-64&deg;C, respectively).</strong></p> <p><strong>The well temperature was measured when the films were changed using a K-type thermocouple</strong></p>

restrictedMay 2022View details →

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