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31 results for “radon”
Radon Activities in the Duplin River near Sapelo Island, Georgia
This study measured dissolved radon-222 activities from three locations in the Duplin River. Measurements were taken over several days in the spring/summer of 2012, 2013, 2015, and 2016. Radon serves as a tracer of groundwater discharge into the Duplin. Our monitoring sites were located from the docks at Marsh Landing, Lumber Landing, and Moses Hammock. We measured radon from ~1 m deep using a continuous RAD7 (Durridge Co.) with a RAD-Aqua to degas the radon, as well as water depth using a HOBO Water Level Logger (Onset Corp).
Radon Surveys in the Duplin River near Sapelo Island, Georgia from July 2016
This study measured dissolved radon-222 in transects upstream throughout the Duplin River. Radon serves as a tracer of groundwater discharge into the surface water, so this survey was conducted to assess spatial patterns of groundwater input into the Duplin River. Radon counts were integrated over 10 minute counting cycles, so lateral resolution of the survey is determined by the boat speed. Transects were begun at high tide and at low tide during both spring and neap tide.
SBC LTER: Pore water constituents and residence times (Radon activity) from Santa Barbara beaches, 2012-2013
Constituents of beach pore water and parameters for calculating residence times are reported for two beaches in the Santa Barbara area, Isla Vista Beach and East Campus Beach, from July 2012 to June 2013. This dataset reports beach pore water concentrations of ammonium and nitrate, total dissolved Nitrogen and Carbon, particulate Nitrogen and Carbon, Radon, salinity, conductance, Oxygen and water temperature. Residence time ("Tau") can be calculated from Radon-222 activities in nearshore seawater, in pore water and at equilibrium, which are presented in a second table (also available in published paper). Results from these data were reported in: Goodridge, B. M. and J. M. Melack. 2014. Temporal evolution and variability of dissolved inorganic nitrogen in beach pore water revealed using radon residence times. Environmental Science and Technology, 48: 14211-14218. DOI:10.1021/es504017j
Increased Radon Exposure from Thawing of Permafrost Due to Climate Change
<p>This database contains one excel data file containing all data required to produce all plot figures in the eponymous paper in Earth's Future, as well as 5 modelling output video files, the stills from which contribute to the non-plot figures in the paper.</p> <p>This database also contains high quality versions of all the display items in the eponymous paper.</p> <p>For further information please contact the author at p.w.j.glover@leeds.ac.uk</p>
Salmon Creek radon data
Open the record for dataset details and reuse information.
Radon (222Rn) activity in air on the crater rim of Mt. Etna Central Crater (May-October 2018)
<p><em>The dataset in the file dataset_radon.xlsx compiles radon (<sup>222</sup>Rn) activity values measured in air on the rim of Mt. Etna Central Crater with passive dosimeters during summer 2018. Passive dosimeters were installed all around the crater and in four reference sites, at two different heights above the ground (5 cm and 1 m). Geographical coordinates of installation points are given in the file. Exposition periods given in the dataset started and ended as follows: May-Oct (24/05/18-11/10/18), May-Jul (24/05/18-06/07/18) and Jul-Oct (06/07/18-11/10/18). The uncertainty for each dosimeter is given with a confidence interval of 2-σ. Dosimeters are grouped according to the sector of the rim (Nort-West, North-East, South-East and South-West + reference sites). For group mean values, the uncertainty corresponds to the standard deviation of the mean (standard deviation of the population divided by the square root of the number of elements in the population). “lost” indicates a dosimeter that was lost during the exposition, “udl” refers to a dosimeter that was under detection limit, and “damaged” corresponds to a dosimeter that was corroded by acids and could not be analysed or that was clogged in soldered dust preventing radon from entering the capsule. Note that one station (namely, that closest to the Voragine vent) was excluded from the computation of the mean value of the NE sector. </em></p> <p><em>The dataset in the file SO2_flux.pdf contains the time series of the daily bulk SO<sub>2</sub> flux measured at Mount Etna during the period 01/04/18-30/10/18.</em></p>
Datasets used in the Lab Validation of the RADON Verification Tool
<p>This repository contains the datasets that have been used to perform the lab validation of the RADON verification tool. In order to replicate the experiments, please unzip the file "validation-datasets.zip" and run the following command:</p> <pre><code class="language-bash">./run_all.rb {path_to_VT} list.json</code></pre> <p> </p>
Investigation of Radon Concentrations in some Coffee brands in Al-Muthanna Province/ South of Iraq
<p><strong>Background</strong>: Nowadays, drinking coffee has widely increased around the world. As explained by the study when the questionnaire was analyzed, Iraqis consume a huge amount of coffee. The first study in Iraq regarding radioactivity in coffee showed that the radon concentrations in coffee were within the allowed limitations set by the International Committee on Radiological Safety. However, this study examined only four brands of coffee in Mosul, north of Iraq. Therefore, there is no widely preliminary radiological data on coffee brands in Iraq.</p> <p><strong>Materials and Methods</strong>: This project was designed to demonstrate the radon contamination of coffee drunk in the Al-Muthanna province/south of Iraq. The method of this study includes a practical study to measure the percentage of radon gas in domestic and imported coffee using the nuclear effect detector (CR-39). 14 different brands of coffee were collected from Samawah Souq (the main market in the capital city of Al-Muthanna province). The long-term measurement method for the emission of alpha particles was adopted.</p> <p><strong>Results</strong>: The results showed that the highest radon gas concentration was in the coffee and seed samples imported from South Korea (16.95) Bq/ m3, while the lowest concentration was in the coffee sample imported from India, which was (4.23) Bq / m3. The laboratory radiological background was considered and calculated which was (3.39) Bq / m3.</p> <p><strong>Conclusions</strong>: In general, these data show that radon concentrations are not risky. It could be said that the differences in percentages may relate to the environmental conditions, natural and industrial factors in each country.</p>
Characterizing the automatic radon flux Transfer Standard system Autoflux: laboratory calibration and field experiments
<p>Data from the manuscript: Characterizing the automatic radon flux Transfer Standard system Autoflux: laboratory calibration and field experiments.</p> <p>The present folder contains:</p> <ol> <li>Exhalation Bed data (data and plots from the characterization of the exhalation bed of the Cantabria University)</li> <li>ANSTO Autoflux (data and plots of the calibration of the Autoflux radon flux system)</li> <li>INTE_UPC (data and plots of the calibration of the INTE_UPC radon flux system)</li> </ol>
Components of radon progeny in the air at the Gruvebadet observatory in Ny-Alesund (Svalbard islands, Norway) during the melting and the summer season in 2015
<p>Components of radon progeny in the air at the Gruvebadet observatory in Ny-Alesund (Svalbard islands, Norway) during the melting and the summer season in 2015. This dataset was obtained decomposing the three components (short-lived, long-lived and near-constant progenies) considering the different decay processes.</p> <p>Raw data expressed in counts per second per cubic meter are presented in the first sheet. Smoothed data are included in the second sheet and meteorological hourly averages are reported in the third one.</p>
STE CECs: Coastal Radon Time-series v1.0
<p><strong>Description: </strong>Radon in coastal water time-series data and accompanying water and meteorological parameters collected from 27 different locations globally. These data were used to train and validate two deep learning models.</p> <p>Data for each study site were provided by authors - please see the "References" sheet in the document for the original source and citation of the data.</p> <p>Associated code can be found here: 10.5281/zenodo.7581389</p> <p>Associated publication accepted (in press) in <em>Water Resources Research.</em></p> <p><strong>Column names in the "data" sheet are as follows:</strong></p> <p>datetime = date and time of measurement (local time, MM/DD/YY HH:MM)</p> <p>Location = name of location of measurement (data = string data)</p> <p>Aquifer_type = categorical aquifer type (data = string data, options: rocky, sandy, or muddy).</p> <p>depth_m = depth of water column (m). Measured with CTD probe or similar.</p> <p>ctdtemp_C = water temperature (degrees Celsius) at point of radon measurement. Measured with CTD probe or similar.</p> <p>ctdsal = water salinity (unitless) at point of radon in water measurement. Measured with CTD probe or similar.</p> <p>windsp_ms = wind speed, 10 m above sea level (units = m/s). Data from wunderground.com from closest weather station for all sites except for Kīholo Bay, HI, USA (data sourced from RAWS USA Climate Archive, Puu Waawaa station: https://raws.dri.edu/cgi-bin/rawMAIN.pl?hiHPUW) and FSUCML, FL, USA (data sourced from FAWN Carrabell Station: https://fawn.ifas.ufl.edu/data/reports/)</p> <p>airtemp_C = air temperature (units = degrees Celsius). Data from wunderground.com from closest weather station for all sites except for Kīholo Bay, HI, USA (data sourced from RAWS USA Climate Archive, Puu Waawaa station: https://raws.dri.edu/cgi-bin/rawMAIN.pl?hiHPUW) and FSUCML, FL, USA (data sourced from FAWN Carrabell Station: https://fawn.ifas.ufl.edu/data/reports/)</p> <p>Rn_Bqm3 = radon in water (units = Bq/m^3). Measured with Durridge RAD7 or similar radon-in-air detector or underwater gamma spectrometer (e.g., Dulai et al., 2016: https://doi.org/10.1007/s10967-015-4580-9).</p>
Promoting Radon Testing Via Smartphone App: A Clinical Trial in a High Radon State
ClinicalTrials.gov study NCT04980521. IPD Sharing: NO. Countries: 1. Publications: 1.
River Erpe (Berlin, Germany) groundwater levels, temperature and 222-radon data set, June 2019
<p>Time series of groundwater levels and temperature, chloride concentrations as well as 222-radon activities in piezometers P0 to P9 and P11 located close to Heidemühle at the River Erpe, Berlin, Germany, collected between June and November 2019. In "Rn_eql_incubations.csv", "mea" denotes the mean activity and "sdd" the associated standard deviation.</p>
Figure 2 in Radon and material radiopurity assessment for the NEXT double beta decay experiment
Figure 2 Tcophic guiSd stcuctuce of cacnivoce assembSage fcom CNNP. Predators: Po, Pacthera occa; Pc, Puma coccolor; Lw, Leopardus wiedii; Lp, Leopardus pardalis; Pu, Puma yagouaroucdi; Nn, Nasua carica; and Uc, Urocyoc cicereoargecteus. Food item: bic mammals (>6.13 kc), medium mammals (1 kc <6.13 kc), small mammals (<1 kc), artdropods, birds, plants and reptiles.
Dataset of flow rate, water temperature, radon concentration, and seismic waveforms from a hot spring system
<p>Flow rate, water temperature, radon concentration, meteorological data, and seismic waveforms in a hot spring system that used for investigating the groundwater radon changes and hydrological responses induced by large earthquakes. </p>
Supplementary data- Detailed Geogenic Radon Potential Mapping Using Geospatial Analysis of Multiple Geo-variables. A Case Study from a High-Risk Area in SE Ireland.
<p>Supplementary Data: all the data produced and used, statistical analysis, mathematical proofs diagnostic tests, regression models and additional charts and tables</p> <p>Detailed Geogenic Radon Potential Mapping Using Geospatial Analysis of Multiple Geo-variables. A Case Study from a High-Risk Area in SE Ireland. </p>
Supplementary tables for the paper: "Comprehensive computational analysis via Adverse Outcome Pathways and Aggregate Exposure Pathways in exploring synergistic effects from radon and tobacco smoke on lung cancer."
<p><strong>Authors</strong>:<br>Thomas Jaylet, Vinita Chauhan, Laura Mezquita, <em>Nadia Boroumand</em><em>, </em>Olivier Laurent, <em>Karine Elihn</em><em>, Lovisa Lundholm</em><em>, </em>Olivier Armant, Karine Audouze</p>
Testing Radon Com Methods: Clinical Trial Smartphone App vs Print Brochures
ClinicalTrials.gov study NCT05319457. IPD Sharing: NO. Countries: 1. Publications: 1.
Effectiveness of Radon Spa Therapy in Multimodal Rehabilitative Treatment of Rheumatoid Arthritis
ClinicalTrials.gov study NCT00334620. IPD Sharing: Not stated. Countries: 1. Publications: 1.
RADON Models II
<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's FaaS abstraction layer that provides several TOSCA definitions to deploy a particular FaaS application component to different cloud providers.</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.