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Dataset results
206 results for “Air Quality”
Air Quality, Location, Time, Number of Passenger Data during commute in selected area of Klang Valley, Malaysia
<p>The dataset contains information on date/time, location names, periods, vehicle types, settlement patterns, commute elevation levels, latitude, longitude, air pollutant exposure data, along with temperature and relative humidity data, and passenger numbers for 40 trips conducted across various transport microenvironments in selected areas of the Klang Valley.</p>
Implementation of an Ensemble Kalman Filter in the Community Multiscale Air Quality Model (CMAQ Model v5.1) for Data Assimilation of Ground-level PM2.5: Model Simulation Outputs
<p>This data sets are model outputs from CMAQ simulations. The output contains only PM2.5 variable after combining related aerosol species. File format is netCDF binary. File naming convention for Domain 1 (D1) is D1_EXP_DATE_TIME_e000.nc where EXP is the control experiment (CTR) or the assimilation experiments (DA_icbc), DATE means YYYYMMDD format date, TIME indicates 2 digits UTC time, and e000 represents ensemble mean result. Also, file naming convention for Domain 2 (D2) is D2_EXP_CASE_DATE_TIME_e000 where EXP is the control experiment (CTR) or the assimilation experiments (DA_ic and DA_icbc), CASE is the simulation cases for ANL or PRD, DATE means YYYYMMDD format date, TIME indicates 2 digits UTC time, and e000 represents ensemble mean result. For the processed and assimilated observation data in this study for D1 and D2, the file names are D1_OBS_DATA_YYYYMMDDhh.txt and D2_OBS_DATA_YYYYMMDDhh.txt, respectively, where YYYYMMDD is date format and hh is UTC.</p>
Preprocessed EEA Air Quality eReporting observations over Europe
<p>Preprocessed EEA Air Quality eReporting dataset over Europe. This dataset contains the hourly, daily 24-hour mean, daily 1-hour maximum and daily 8-hour maximum concentrations of O3, NO2, SO2, CO, PM10 and PM2.5, with and without Quality-Assurance (QA) filtering using the QA flags available through GHOST (Globally Harmonised Observational Surface Treatment). GHOST is project developed at the Earth Sciences Department of the Barcelona Supercomputing Center that harmonises the global surface atmospheric observations and metadata, in order to facilitate quality-assured use of observations (for instance for comparisons with models within the atmospheric chemistry community).</p>
Datasets used in Detecting Plumes in Mobile Air Quality Monitoring Time Series with Density-based Spatial Clustering of Applications with Noise v01
<p>This repository contains the following data sets related to Detecting Plumes in Mobile Air Quality Monitoring Time Series with DBSCAN published in . Please cite the following: .</p> <p>Validated_Data.csv: A .csv file containing the validation set used in the study. Column headings are the following:</p> <p>"Lat1": GPS latitude of car location in degrees.<br> "Long1": GPS longitude of car location in degrees.<br> "LST": Measurement time stamp. Time zone US/Central.<br> "BC": Black carbon measurements in ng/m^3<br> "CO2": Carbon dioxide measurements in ppm.<br> "UFP": Ultrafine particle count in particles/cc.<br> "NOx": Oxides of nitrogen, defined as the sum of NO and NO2, in ppb.<br> "Anomaly": What has been manually flagged as "Anomaly" (2) or "Normal" (1).<br> "Uniq_Fac": Factor from 1-30 mapping to different days of the campaign. For example, all measurements with Uniq_Fac = 1 belong to the same day.</p> <p>Labeled_DBSCAN_Anomalies.csv: A .csv file containing points labeled as anomalies by the DBSCAN algorithm described in the manuscript. Columns are the following.</p> <p>"BC": Black carbon measurement (ng/m^3)<br> "CO2": Carbon dioxide measurement (ppm)<br> "NOx": Oxides of nitrogen, defined as the sum of NO and NO2 (ppb)<br> "UFP": Ultrafine particle count (p/cc)<br> "Anomaly": Whether the DBSCAN algorithm has labeled this point as "Anomaly" (2) or "Normal" (1)<br> "Uniq_Fac": Factor spanning from 1-277 grouping measurements taken on separate days by car. E.g. all measurements with Uniq_Fac=1 were grouped and analyzed together.<br> "LST": Timestamp (US/Central)<br> "Road_Class": TigerLINE census road class designation for the given point. Possible road classes are S1100 - Primary Road, S1200 - Secondary Road, S1400 - Local Road, S1630 - Ramps, S1640 - Service Drives, S1730 - Private Roads<br> "X": Universal Transverse Mercator Easting for Zone 15N (m).<br> "Y": Universal Transverse Mercator Northing for Zone 15N (m).</p> <p>*_To_Be_Validated.csv: A series of files where * denotes the following.</p> <p>"DB": DBSCAN Algorithm<br> "QOR": QOR Algorithm<br> "QAND": QAND Algorithm<br> "Drew": Drewnick Algorithm</p> <p>Each file contains the following columns:</p> <p>"Lat1": GPS latitude of car location in degrees.<br> "Long1": GPS longitude of car location in degrees.<br> "LST": Measurement time stamp. Time zone US/Central.<br> "BC": Black carbon measurements in ng/m^3<br> "CO2": Carbon dioxide measurements in ppm.<br> "UFP": Ultrafine particle count in particles/cc.<br> "NOx": Oxides of nitrogen, defined as the sum of NO and NO2, in ppb.<br> "Anomaly": What has been flagged as "Anomaly" (2) or "Normal" (1).<br> "Uniq_Fac": Factor from 1-30 mapping to different days of the campaign. For example, all measurements with Uniq_Fac = 1 belong to the same day.</p>
Evidence Driven Indoor Air Quality Improvement
ClinicalTrials.gov study NCT05992389. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Indoor Air Quality, Temperature and Cognitive Performance
ClinicalTrials.gov study NCT06380582. IPD Sharing: YES. Countries: 1. Publications: 0.
Laying the Foundation for Building a Resilient KPNC Community in the Face of Worsening Air Quality Due to Wildfire Smoke
ClinicalTrials.gov study NCT07118189. IPD Sharing: NO. Countries: 1. Publications: 0.
Bedside Air Quality in ICU and Clinical Outcome
ClinicalTrials.gov study NCT06201754. IPD Sharing: NO. Countries: 1. Publications: 0.
Air Quality Monitoring and Health Surveillance of Workers in the Photocopier Units
ClinicalTrials.gov study NCT01289184. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Indoor Air Quality and Respiratory Symptoms in Former Smokers
ClinicalTrials.gov study NCT02956213. IPD Sharing: NO. Countries: 1. Publications: 0.
Milwaukee Day Cares Indoor Air Quality Assessment and Educational Response Study
ClinicalTrials.gov study NCT03675009. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Indoor Air Quality Asthma Study: The Effect of Indoor Air Quality and Mitigation of Same on Persistent Asthma
ClinicalTrials.gov study NCT05843045. IPD Sharing: NO. Countries: 1. Publications: 0.
CSD200902: Assessment of Indoor Air Quality for a Heated Tobacco Product With Four Non-Combusted Cigarette Variants in an Environmental Testing Chamber
ClinicalTrials.gov study NCT05363254. IPD Sharing: NO. Countries: 1. Publications: 0.
The Clean Air Study: HEPA Purifiers to Improve Indoor Air Quality and Health in Rural Alaska Homes
ClinicalTrials.gov study NCT06534385. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Indoor Air Quality and Infectious Aerosols in Health Care Facilities
ClinicalTrials.gov study NCT01275326. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Indoor Air Quality Monitoring and Impact on Children's Health
ClinicalTrials.gov study NCT06197477. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effectiveness of Air Quality Sensor in Elderly Residential Setting
ClinicalTrials.gov study NCT05837585. IPD Sharing: YES. Countries: 1. Publications: 0.
PET/MRI Artificial Intelligence Reconstruction Algorithm AIR Recon DL Image Quality Evaluation and Clinical Study
ClinicalTrials.gov study NCT06856096. IPD Sharing: NO. Countries: 1. Publications: 0.
" Fume Events in Air Flights: Consequences on Cabin Air Quality and on Aircrews Health of a French Fleet of Aircraft"
ClinicalTrials.gov study NCT06270095. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Indoor Air Quality Improvement on Health in Patients With Interstitial Lung Disease
ClinicalTrials.gov study NCT07344987. IPD Sharing: NO. Countries: 0. Publications: 0.
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