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75 results for “SO2”
Improving Volcanic SO2 Cloud Modeling Through Data Fusion and Trajectory Analysis: A Case Study of 2022 Hunga Tonga Eruption
<p><strong>Dataset Overview</strong>: This dataset comprises approximately 500 clusters of aggregated observational data collected from January 16 to 20 during the ascending (ASC) and descending (DES) periods. We grouped a large number of observation points into these clusters and calculated trajectories from the center of each cluster. The choice of 500 clusters was driven by pragmatic considerations, aiming for a balance between computational feasibility and the level of detail needed for our analysis.</p> <p><strong>Data Unit Description</strong>: The "mass" values in this dataset for each cluster are calculated by multiplying the mass per unit area (<span><span>g/m2</span></span>) of individual data points by the area covered by each point, thus providing the total mass in grams (g). The "heights" are presented in units of kilometers (km), representing the observed top heights of each cluster.</p>
Videos of artificially released SO2 puffs recorded simultaneously with six UV SO2 cameras
<p>The six videos show the temporal evolution of six artifially released SO2 puffs. Each video covers the same 1-minute time period and is recorded by one of six UV SO2 cameras (UV1 - UV6) at different positions around the source location.<br> The videos have been created in the scope of the Comtessa project and show data from the first field campaign in July 2017.</p>
Transient acetaldehyde production by SO2 producing S. cerevisiae promotes survival of Oenococcus oeni during co-fermentation
<p>Stuck or sluggish malolactic fermentation (MLF) can be problematic in limiting wine conditions, particularly white and sparkling base musts / wines. In these cases, knowledge of yeast-bacteria strain compatibility and the amount of sulfur dioxide (SO<sub>2</sub>) a yeast strain produces are important considerations for successful MLF.</p> <p>Here, the effects of yeast-derived SO<sub>2</sub> production on <em>O. oeni</em> survival was investigated in laboratory- and pilot-scale co-fermentations in Chardonnay. Further to the <em>S</em>. <em>cerevisiae</em> strain affecting <em>O. oeni</em> survival and MLF, we show that SO<sub>2</sub> production by yeast (to approximately 65 mg/L) can be uncoupled from <em>O. oeni </em>survival in early stages of co-fermentation. Bacterial survival with certain SO<sub>2</sub>-producing yeast strains was correlated with early, transient formation of a high concentration of acetaldehyde. Upon co-inoculation, an extremely low concentration range (approximately 1–44 µg/L) of calculated molecular SO<sub>2</sub> is indicated to regulate <em>O</em>. <em>oeni</em> survival. <span>Possible strain-dependent sensitivity of <em>O. oeni</em> to bound SO<sub>2</sub> may also occur, although the extent and nature of such inhibition by the SO<sub>2</sub> adduct itself during co-fermentation remains unclear. </span></p> <p><span>Choice of co-inoculation yeast strain also influenced wine diacetyl concentration, </span>which was only detected in wines co-inoculated with high-SO<sub>2</sub>-producing <em>S. cerevisiae </em>strains. <span>These wines also had comparatively high citation frequency for a buttery sensory attribute. </span>Both the SO<sub>2</sub> and acetaldehyde production capacity of yeasts are therefore seen as meaningful co-inoculation selection criteria. <span>The range of yeast strains suitable for MLF induction by co-inoculation could be widened to include SO<sub>2</sub>-producing strains which transiently produce an early, high concentration of acetaldehyde. Reliance on total / bound SO<sub>2</sub> concentration may also potentially provide an inaccurate measure of SO<sub>2</sub> toxicity towards <em>O. oeni</em>, particularly for co-inoculation, and the impact of low, equilibrium concentrations of molecular SO<sub>2</sub> should also be considered. </span></p>
Transcutaneous pO2, Transcutaneous pCO2 and Central Venous SO2 Variations to Define Fluid Responsiveness
ClinicalTrials.gov study NCT01941472. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Transient acetaldehyde production by SO2 producing S. cerevisiae promotes survival of Oenococcus oeni during co-fermentation
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Enhanced Heterogenous Hydration of SO2 Through Immobilization of Pyridinic-N on Carbon Materials
Carbon materials doped with nitrogen has long been utilized for SO2 removal from flue gases for the benefits of environment. The role of water is generally regarded as hydration of SO3 which is formed through the oxidization of SO2. However, the hydrolysis of SO2, especially on the surface of N doped carbon materials, was almost ignored. In this study, the hydrolysis of SO2 was investigated in detail on the pyridinic nitrogen (PyN) doped graphene (GP) surfaces. It is found that, compared to the homogenous hydrolysis of SO2 assisted with NH3 in gas phase, the heterogeneous hydrolysis is much more thermodynamically and kinetically favorable. Specifically, when a single H2O molecule is involved, the energy barrier for SO2 hydrolysis is as low as 0.15 eV, with 0.59 eV released, indicating the hydrolysis of SO2 can occur at rather low water concentration and temperature. Thermodynamic integration molecular dynamics results show the feasibility of the hydrogenated substrate recovery and the immobilized N acting as a catalytic site for SO2 hydrolysis. Our findings show that the heterogeneous hydrolysis of SO2 should be universal and potentially uncover the puzzling reaction mechanism for SO2 catalytic oxidation at low temperature by N doped carbon materials.
IMS/IASI SO2 total column and SA OD daily gridded data
<p>Datasets in support of the manuscript: https://essopenarchive.org/doi/full/10.22541/essoar.169091894.48592907 (in revision for GRL). </p><p>Daily gridded SO2 and SA OD, daytime and nighttime overpasses</p><p>Data for January 2022 (starting on 13/01): 202201_ims_daily_gridded.zip</p><p>Data for February 2022: 202202_ims_daily_gridded.zip </p>
MuAP Spatial distribution of various air pollutants in China at 1 km(SO2 2021-01-01:2023-12-31) (Version1.1)
<p>MuAP Spatial distribution of various air pollutants in China at 1 km(SO2)</p> <p>Multiple air pollutions dataset (MuAP) </p> <p>Time frame: 2021-2023<br>Area: Most of China<br>Resolution: about 1km<br>File storage format: .xz and GeoTIFF<br>Spatial projection: WGS84<br>Daily file name: year_doy.tif (Daily MuAP data volume exceeds Zenodo platform limits. Please contact the author at fjcyfeng@qq.com.)</p> <p>Monthly file name: year_month.tif</p> <p>Yearly file name: year_month.tif</p> <p>Unit: Please divide by 10 when using. (ug/m3)</p> <p>When you download and use our data, please cite:</p> <p>Chi, Y., Zhan, Y., Wang, K., and Ye, H.: Sequential spatiotemporal distribution of PM<sub>2.5</sub>, SO<sub>2</sub> and Ozone in China from 2015 to 2020, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2023-76, in review, 2023.</p> <p>Chi, Y., Zhan, Y., Wang, K., & Ye, H. (2023). Spatial Distribution of Multiple Atmospheric Pollutants in China from 2015 to 2020. Remote Sensing, 15(24). doi:10.3390/rs15245705</p> <p>Note: The MuAP for 2015-2020 can be obtained by:</p> <p>1.PM2.5:https://zenodo.org/records/8093749</p> <p>O3:https://zenodo.org/records/8180923</p> <p>SO2:https://zenodo.org/records/8093749</p> <p>NO2:Please contact the author at fjcyfeng@qq.com.</p> <p> </p> <p>2. Daily MuAP data volume exceeds Zenodo platform limits. Please contact the author at fjcyfeng@qq.com.</p> <p> </p>
SO2 UV Cross sections for ESA - SEOM - IAS from GSMA
<p>SO2 UV absorption cross sections at 296 K and different resolutions with the transmlittance spectra used to determne them.</p>
Example dataset for in vivo blood sO2 imaging with ultrasound-aided large-scale optoacoustic microscopy
<p>"mouse1_r_5um_dualwave.mat" and "mouse1_r_10um_us.mat" contain the raw datasets in dual-wavelength optoacoustic and ultrasound modes acquired with ultrasound-aided large-scale optoacoustic microscopy on mouse dorsal skin.</p> <p>"mouse1_r.mat" contains the estimated skin surface based on the ultrasound dataset.</p> <p>After downloading the above 3 files, make a subfolder under the current working folder and name it "skinCropDepths", and put "mouse1_r.mat" under that subfolder.</p> <p>The code can be fetched from this Github repository: https://github.com/razanskylab/dualwaveProcessor. Refer to README file for explanation on the code base.</p> <p>The datasets shared here were acquired on healthy mouse dorsal skin and are intended for testing the unmixing scripts.</p> <p>The longitudinal datasets acquired during dorsal skin wound healing are too large to be publically shared, but is available for research purposes upon reasonable request: weiye.li@uzh.ch.</p> <p> </p> <p> </p>
Smart Watch, Heart Rate and So2 in Cardiac Patients
ClinicalTrials.gov study NCT05199844. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Smart Watch, Heart Rate and So2 in Chronic Patients
ClinicalTrials.gov study NCT05271864. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Enhanced Heterogenous Hydration of SO2 Through Immobilization of Pyridinic-N on Carbon Materials
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Data for "Impact of SO2 and Light on Chemical Morphology and Hygroscopicity of Natural Salt Aerosols"
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OMI/Aura Sulphur Dioxide (SO2) Total Column Daily L2 Global Gridded 0.125 degree x 0.125 degree V3 (OMSO2G) at GES DISC
This Level-2G daily global gridded product OMSO2G is based on the pixel level OMI Level-2 SO2 product OMSO2. OMSO2G data product is a special Level-2 gridded product where pixel level products are binned into 0.125x0.125 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999 . All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.The OMSO2G data product contains almost all parameters that are contained in OMSO2 files. For example, in addition to three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the retrieval algorithm, and ancillary parameters, e.g., UV aerosol index, cloud fraction, cloud pressure, geolocation, solar and satellite viewing angles, and quality flags.The OMSO2G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 146 Mbytes.
TROPESS Chemical Reanalysis Surface SO2 2-Hourly 2-dimensional Product V1 (TRPSCRSO22H2D) at GES DISC
The TROPESS Chemical Reanalysis SO2 2-Hourly 2-dimensional Product contains surface concentrations of sulfur dioxide. The data are part of the Tropospheric Chemical Reanalysis v2 (TCR-2) for the period 2005-2021. TCR-2 uses JPL's Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) data assimilation framework that simultaneously optimizes both concentrations and emissions of multiple species from multiple satellite sensors.The data files are written in the netCDF version 4 file format, and each file contains a year of data at 2-hourly resolution, and a spatial resolution of 1.125 x 1.125 degrees. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.
ATom: Sulfur Dioxide by Laser Induced Fluorescence (LIF-SO2) for ATom-4 Campaign
This dataset provides concentrations of sulfur dioxide (SO2) measured by the Laser Induced Fluorescence Instrumentation for Sulfur Dioxide (SO2-LIF) on the ATom-4 campaign in April and May 2018. The LIF-SO2 instrument detects SO2 at the single-part per trillion level using red-shifted laser-induced fluorescence. Measurements are reported at 1-second intervals along the flight paths. Sources of SO2 atmosphere from natural sources include volcanic eruptions and wildfires; however, most anthropogenic sources, such as fossil fuel combustion, arise. SO2 influences some negative health and environmental impacts and is an important precursor of aerosols in the nucleation of new particles globally.
DSCOVR EPIC Level 2 Sulfur dioxide (SO2) Product with EPIC Version 3 Input Version 2
DSCOVR_EPIC_L2_SO2_v03 is the Deep Space Climate Observatory (DSCOVR) Enhanced Polychromatic Imaging Camera (EPIC) Level 2 Sulfur Dioxide (SO2) product with EPIC version 03 inputs. It has key ultraviolet (UV) channels suitable for retrieving volcanic sulfur dioxide (SO2) and ash, enabling timely tracking and forecasting of volcanic plumes and enhancing our ability to mitigate aviation hazards. EPIC measurements will also be co-located with all satellite UV and infrared sensors, offering ample opportunities for data inter-comparisons and demonstrating advanced retrievals of volcanic ash mass through a synergistic approach. We propose to implement our mature algorithms previously developed for Total Ozone Mapping Spectrometer (TOMS) and Ozone Monitoring Instrument (OMI) to enable SO2 and Ash Index (AI) products from EPIC UV observations to demonstrate improved estimates of volcanic SO2 and ash mass, height and sulfate aerosol loading.
Multi-Satellite Air Quality Sulfur Dioxide (SO2) Database Long-Term L4 Global V2 (MSAQSO2L4) at GES DISC
These data are a part of Multi-Decadal Sulfur Dioxide (SO2) Climatology from Satellite Instruments (MEaSUREs-12-0022 project). Version 2 of the global catalogue of emissions from large SO2 point sources combines data from the Ozone Monitoring Instrument (OMI) on NASA's EOS Aura spacecraft, the Ozone Mapping and Profiler Suite (OMPS) on the NASA-NOAA Suomi National Polar-orbiting Partnership (SNPP), and the TROPOspheric Monitoring Instrument (TROPOMI) on the ESA/Copernicus Sentinel-5 Precursor (S-5P) spacecraft.The catalogue MSAQSO2L4 file contains the site coordinates, source type, country, source name, annual SO2 emissions, annual emission uncertainties, and the number of satellite pixels in the fitting area for three satellite instruments as well as for their weighted average.The emission estimates are based on operational version 2 OMI and OMPS Principal Component Analysis (PCA) retrieval algorithm SO2 slant column density (SCD) data (Li et al., 2020) as well as on new TROPOMI Covariance-Based Retrieval Algorithm (COBRA) SCD data (Theys et al., 2021). A single time-independent site-specific Air-Mass Factor (AMF) value for each site was calculated (McLinden et al., 2014) and applied consistently to each satellite SCD dataset to derive SO2 vertical column densities (VCDs=SCDs/AMFs). The emission estimate method is based on a fit of satellite VCDs to an empirical plume model developed to describe the SO2 spatial distribution near emission point sources. The plume model assumes that the SO2 concentrations emitted from a point source decline exponentially with distance and that they are affected by turbulent diffusion that can be described by a two-dimensional (2D) exponentially modified Gaussian function. The total SO2 mass is derived from the fit and the annual emission rate is calculated as the ratio between the total mass and the prescribed SO2 lifetime.
MLS/Aura Level 3 Daily Binned Sulfur Dioxide (SO2) Mixing Ratio on Zonal and Similar Grids V005 (ML3DZSO2) at GES DISC
ML3DZSO2 is the EOS Aura Microwave Limb Sounder (MLS) daily binned on zonal and assorted vertical grids product for sulfur dioxide (SO2) derived from radiances measured by the 240 GHz radiometer. The data version is 5.1. Spatial coverage is near-global (-82 to +82 degrees latitude) at 4 degree latitude zonal increments. The recommended useful vertical range is from 215 to 10 hPa, and the vertical resolution is about 3 km. Users of the ML3DZSO2 data product should read chapter 4 and section 3.21 of the EOS MLS Level 2 Version 5 Quality Document for more information.The data files contain one year of data and are archived in the netCDF4 format, which is also compatible with HDF5 readers and tools. Each file contains four group objects: lat vs pressure zonal mean, lat vs "potential temperature" zonal mean, "equivalent latitude" vs "potential temperature" zonal mean, and vortex average vs "potential temperature". Each group has a set of data (average, min, max, std dev, rms) and geolocation fields, grid attributes, and metadata.
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Allen Brain Atlas
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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.