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117 results for “voc”
Arginine Therapy in Sickle Cell Disease-VOC Clinical Trial
ClinicalTrials.gov study NCT01796678. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Lipidomics, Proteomics, Micro RNAs and Volatile Organic Compounds (VOC)
ClinicalTrials.gov study NCT02531607. IPD Sharing: NO. Countries: 1. Publications: 1.
VOCs vs FIT for Colorectal Cancer Screening
ClinicalTrials.gov study NCT04407416. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOF-MS) as a tool for studying animal volatile organic compound (VOC) emissions
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Facile synthesis of magnesium-based metal-organic framework with tailored nanostructure for effective VOCs adsorption
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Soil VOC emission rates and associated parameters from forest and oil palm in the SAFE landscape
<p><strong>Description: </strong></p> <p>Monoterpene fluxes measured by the static chamber method including associated environmental parameters</p> <p><strong>Project: </strong>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/126"><strong>Characterising soil microbial communities and measuring associated biogeochemical fluxes</strong></a></p> <p><strong>Funding: </strong>These data were collected as part of research funded by:</p> <ul> <li>NERC HMTF (Research Programme, (NE/K016091/1), <a href=" http://lombok.nerc-hmtf.info/"> http://lombok.nerc-hmtf.info/</a>)</li> </ul> <p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p> <p> </p> <p><strong>Permits: </strong>These data were collected under permit from the following authorities:</p> <ul> <li>Sabah Biodiversity Centre (Research licence JKM/MBS.1000-2/2 JLD.5 (79))</li> </ul> <p> </p> <p><strong>XML metadata: </strong>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3698115">here</a></p> <p><strong>Files: </strong>This consists of 1 file: 4_VOC_jdrewer.xlsx</p> <p><strong>4_VOC_jdrewer.xlsx</strong></p> <p>This file contains dataset metadata and 2 data tables:</p> <ol> <li> <p><strong>data one off field</strong> (described in worksheet Data_one_off)</p> <p>Description: Soil and litter parameters</p> <p>Number of fields: 14</p> <p>Number of data rows: 28</p> <p>Fields:</p> <ul> <li><strong>Location</strong>: Location measurement was taken (Field type: location)</li> <li><strong>site</strong>: Location measurement was taken (Field type: id)</li> <li><strong>chamber_id</strong>: Chamber ID (Field type: id)</li> <li><strong>landuse</strong>: Land use of location (Field type: categorical)</li> <li><strong>pH</strong>: Soil pH (Field type: numeric)</li> <li><strong>bulk_density</strong>: dry weight of soil (Field type: numeric)</li> <li><strong>soil_N%</strong>: Percentage of soil N (Field type: numeric)</li> <li><strong>soil_C%</strong>: Percentage of soil C (Field type: numeric)</li> <li><strong>litter_N%</strong>: Percentage of leaf Nitrogen (Field type: numeric)</li> <li><strong>litter_C%</strong>: Percentage of leaf Carbon (Field type: numeric)</li> <li><strong>C/N_soil</strong>: Ratio of soil Carbon: Nitrogen (Field type: numeric)</li> <li><strong>Latitude</strong>: Latitude of sampling point (Field type: latitude)</li> <li><strong>Longitude</strong>: Longitude of sampling point (Field type: longitude)</li> <li><strong>Elevation</strong>: Elevation of sampling point (Field type: numeric)</li> </ul> </li> <li> <p><strong>data of repeated measures</strong> (described in worksheet Data_repeated_measures)</p> <p>Description: Soil VOCs and associated variables</p> <p>Number of fields: 15</p> <p>Number of data rows: 336</p> <p>Fields:</p> <ul> <li><strong>Location</strong>: Location measurement was taken (Field type: location)</li> <li><strong>site</strong>: Location measurement was taken (Field type: id)</li> <li><strong>chamber_id</strong>: Chamber ID (Field type: id)</li> <li><strong>landuse</strong>: Land use of location (Field type: categorical)</li> <li><strong>date</strong>: Date the measurement was taken (Field type: date)</li> <li><strong>time</strong>: Time the measurement was taken (Field type: time)</li> <li><strong>alpha pinene-C flux</strong>: alpha pinene flux (Field type: numeric)</li> <li><strong>beta pinene-C flux</strong>: beta pinene flux (Field type: numeric)</li> <li><strong>limonene-C flux</strong>: limonene flux (Field type: numeric)</li> <li><strong>3-carene-C flux</strong>: 3-carene flux (Field type: numeric)</li> <li><strong>camphene-C flux</strong>: camphene flux (Field type: numeric)</li> <li><strong>eucalyptol-C flux</strong>: eucalyptol flux (Field type: numeric)</li> <li><strong>air_temp</strong>: Air temperature around the flux chamber (Field type: numeric)</li> <li><strong>soil_temp</strong>: Soil temperature around the flux chamber (Field type: numeric)</li> <li><strong>soil_moisture</strong>: Soil moisture around the flux chamber (Field type: numeric)</li> </ul> </li> </ol> <p><strong>Date range: </strong>2015-01-01 to 2016-12-31</p> <p><strong>Latitudinal extent: </strong>4.5000 to 5.0700</p> <p><strong>Longitudinal extent: </strong>116.7500 to 117.8200</p>
Characteristics of wintertime VOCs in urban Beijing: composition and source apportionment
<p>Ambient measurement campaign took place during winter 2017 in Beijing, China. The sources of volatile organic compounds were disclosed measured by proton-transfer-reaction time-of-flight mass spectrometers (PTR-ToF-MS). Ten VOC families showed clear dependence on the VOC concentration. The application of the novel positive matrix factorization receptor model enables the identification of anthropogenic and OVOC sources. Besides, a detailed comparison of VOC and OA source composition provided new proofs on SOA formation.</p>
Test measurements for ten MOX-based VOC sensors
<p>Test measurements for ten MOX-based VOC sensors</p>
The datest, Aerosol Radiation Effect Outweighs VOCs Reactivity Effect on Vertical Ozone Photochemical Features
<p>该数据集包括所有使用的原始和过滤后的VOCs和NO2观测数据,以及模型输入数据和从模拟实验中提取的所有结果。</p>
VOC emissions from screens
<p>Results of VOC emissions from three paired LCDs and OLEDs based on flow cell experiments</p>
VOC
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VOC and Fall
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VOCs-Universitat autònoma Barcelona
<p>Atmospheric VOCs analyses at the campus of UAB, Barcelona, Catalonia, Spain</p>
Unexpected Tradeoffs of Fossil Fuel Reduction on PM2.5 and O3 Pollution Regulation Can be Offset by Synergistic Control of VOCs Source
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Diagnostic Power Comparison Between VOCs and CTCs
ClinicalTrials.gov study NCT03958812. IPD Sharing: UNDECIDED. Countries: 0. Publications: 6.
BREVOC Study: Exhaled VOCs for High-Risk Chest Pain in the ED
ClinicalTrials.gov study NCT07379567. IPD Sharing: NO. Countries: 0. Publications: 2.
The Value of VOCs Analysis in Exhaled Breath for Pulmonary Benign and Malignant Lesion Diagnosis
ClinicalTrials.gov study NCT02965300. IPD Sharing: NO. Countries: 1. Publications: 0.
ATom: Volatile Organic Compounds (VOCs) from the TOGA instrument, Version 2
This dataset provides concentrations of volatile organic compounds (VOCs) measured by the Trace Organic Gas Analyzer (TOGA) during the four ATom campaigns. These data are relevant to the impact of human-produced air pollution on greenhouse gases and on chemically reactive gases in the atmosphere. Specific data were obtained for radical precursors, tracers of anthropogenic and biogenic activities, tracers of urban and biomass combustion emissions, products of oxidative processing, precursors to aerosol formation, and compounds important for aerosol modification and transformation. TOGA measures a wide range of VOCs with high sensitivity (ppt or lower), frequency (2-minutes), accuracy (often 15% or better), and precision (<3%).
LBA-ECO TG-02 Biogenic VOC Emissions from Brazilian Amazon Forest and Pasture Sites
This data set reports concentrations of biogenic volatile organic compounds (BVOCs) collected from tethered balloon-sampling platforms above selected forest and pasture sites in the Brazilian Amazon in March 1998, February 1999, and February 2000. The air samples were collected from forested sites in Brazil: the Tapajos forest (Para) in the Tapajos/Xingu moist forest; Balbina (Amazonas) in the Uatuma moist forest; and Jaru (Rondonia) in the Purus/Madeira moist forest. Two other sites were also located in Rondonia: at a forest reserve (Rebio Jaru) and a pasture (Fazenda Nossa Senhora Aparecida). The BVOCs measured included isoprene, alpha and beta pinene, camphene, sabinene, myrcene, limonene, and other monoterpenes. Approximately 24 to 40 soundings, including as many as four VOC samples collected simultaneously at various altitudes, were made at each site. There is one comma-delimited data file with this data set.
SAFARI 2000 Leaf-Level VOC Emissions, Maun, Botswana, Wet Season 2001
Biogenic volatile organic compounds (VOCs) comprise a significant proportion of trace gases in the atmospheric environment and play an important role in the formation of secondary air pollutants. Emissions of monoterpenes from vegetation were studied at adjacent sites in Botswana as part of the SAFARI 2000 (Southern African Regional Science Initiative). Using a LI-COR leaf cuvette, VOC emissions were measured from the dominant tree species (Colophospermum mopane) and other vegetation near Maun, Botswana. The aims of this work were to: (1) determine the VOC emission potential of C. mopane; (2) investigate any differences in VOC emission potential between the tall and short C. mopane morphology types; (3) investigate environmental controls of VOC emissions from C. mopane; and (4) screen other non-dominant vegetation for high VOC emission potential. The data are contained in an ASCII text file (maun_leaf-level_voc.csv) in comma-delimited format with column headers. The data file contains leaf-level VOC emission rates for C. mopane and other plant species growing near Maun, Botswana recorded under different types of experiments associated with the measurements (e.g., preliminary light dependency, emission potential, tall/short and water potential, light dependency, screening). In addition, the data file contains physical measurements, such as leaf area and dry biomass, which are used in calculating leaf-level emissions rates. Environmental parameters in the leaf cuvette (PAR, temperature, relative humidity, and CO2 concentration) are also recorded. All measurements were made during the wet season campaign (February) of 2001.
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