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74 results for “organic aerosol”
Dataset on Arctic organic aerosol types by Su et al.
<p>This dataset is the final version for the manuscript entiled "Submicron organic aerosol types in the summertime Arctic: mixing state, geographic distribution, and drivers".</p>
Amplified secondary organic aerosol formation induced by anthropogenic–biogenic interactions in forests around megacities
<p>The measured data for the manuscript "Amplified secondary organic aerosol formation induced by anthropogenic–biogenic interactions in forests around megacities "</p>
Data used in "Land use change influence on atmospheric organic gases, aerosols, and radiative effects" (Vella et al., 2024)
<p>Model outputs used in the study: "Land use change influence on atmospheric organic gases, aerosols, and radiative effects"</p>
Characterization of NR-PM1 and source apportionment of organic aerosol in Krakow, Poland
<p>Krakow is routinely affected by very high air pollution levels, especially during the winter months. Although a lot of effort has been done on characterization of ambient aerosols, there is a lack of online and long-term measurements of non-refractory aerosols. Our measurements at AGH University provide online long-term chemical composition of ambient submicron particulate matter (PM<sub>1</sub>) between January 2018 and April 2019. Here we report the chemical characterization of non-refractory submicron aerosols and source apportionment of the organic fraction by positive matrix factorization (PMF). In contrast to other long-term source apportionment studies, we let a small PMF window roll over the dataset instead of performing PMF over the full dataset or on separate seasons. In this way, the seasonal variation of the source profiles can be captured. The uncertainties of the PMF solutions are addressed by the bootstrap resampling strategy and the random <em>a</em>-value approach for constrained factors.</p> <p>We observe clear seasonal patterns in concentration and composition of PM<sub>1</sub>, with high concentrations during the winter months and lower concentrations during the summer months. Organics are the dominant species throughout the campaign. Five organic aerosol (OA) factors are resolved, of which three are of primary nature (hydrocarbon-like OA (HOA), biomass burning OA (BBOA) and coal combustion OA (CCOA)) and two are of secondary nature (more oxidized oxygenated OA (MO-OOA) and less oxidized oxygenated OA (LO-OOA)). While HOA contributes on average 8.6 % ± 2.3 % throughout the campaign, the solid fuel combustion related BBOA and CCOA show a clear seasonal trend with average contributions of 10.4 % ± 2.7 % and 14.1 %, ± 2.1 % respectively. Not only BBOA but also CCOA is associated with residential heating because of the pronounced yearly cycle where the highest contributions are observed during wintertime. Throughout the campaign, the OOA can be separated into MO-OOA and LO-OOA with average contribution of 38.4 % ± 8.4 % and 28.5 % ± 11.2 %, respectively. </p>
Dominant contribution to shortwave absorption by organic aerosols in wildfire smoke
<p>This repository contains the scanning transmission electron microscopy and electron energy loss spectroscopy data, and the python code used for the analysis of the optical properties of aerosol particles.</p>
Virus infection of phytoplankton increases average molar mass and reduces hygroscopicity of aerosolized organic matter
<p>Raw data pertaining to the manuscript titled "Virus infection of phytoplankton increases average molar mass and reduces hygroscopicity of aerosolized organic matter."</p>
Dataset for: An optimised organic carbon / elemental carbon (OC/EC) fraction separation method for radiocarbon source apportionment applied to low-loaded Arctic aerosol filters
<p>Dataset contains raw data and R scripts to create the figures.</p>
Organic aerosol sources in the Milan metropolitan area – Receptor modelling based on field observations and air quality modelling
<p>This is the data related to the paper "Organic aerosol sources in the Milan metropolitan area – Receptor modelling based on field observations and air quality modelling" in Atmospheric Environment</p> <p> </p>
Figure data of "Variation in chemical composition and volatility of oxygenated organic aerosol in different rural, urban, and mountain environments"
<p>This dataset involves the data that is used for the figures in "Variation in chemical composition and volatility of oxygenated organic aerosol in different rural, urban, and mountain environments".</p>
Data from: Organic functional group and organic matter concentrations from FT-IR measurements of particulate matter samples in the Southeastern Aerosol Research and Characterization (SEARCH) network from 2009-2016
Open the record for dataset details and reuse information.
Role of black carbon in the formation of primary organic aerosols: Insights from molecular dynamics simulations: Supplementary Materials
<p>This zip file contains supplements for the article entitled "Role of black carbon in the formation of primary organic aerosols: Insights from molecular dynamics simulations" authored by Zhou et al. including three different sets of data as follows:</p> <p>data: Data files that contain optimized atomistic configurations of organic molecules adsorbed on nanoparticles are provided. These .xyz files contain the atomic coordinates of the adsorbed organic molecules. The first line in each file contains the total number of atoms, the second line comprises three integers corresponding to the number of molecules, number of atoms in each molecule and number of atoms in the nanoparticle, and each subsequent line contains the atomic species and the three Cartesian coordinates (in Angstrom) for an atom. Please see the PDF in the directory for instructions.</p> <p>code: Sets of Lammps simulation input scripts.</p> <p>video: Supplements demonstrating the formation process of molecular clusters of these simulations.</p>
Chemical characteristics of the assigned elemental formulas from the FT-ICR MS data of aerosol-derived organic matter simultaneously collected in Beijing, China and Gwangju, Korea in January 2018
<p>In this study, ambient fine particles (PM2.5) were simultaneously collected in two urban cities in China and Korea (Beijing and Gwangju, respectively) in January 2018. Comprehensive compositional analysis of the organic matter (OM) samples, extracted using dichloromethane, was performed on a 15 Tesla Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometer equipped with an atmospheric pressure photoionization (APPI) interface in positive ion mode. Analysis of the nonpolar and semipolar OM using APPI FT-ICR MS revealed that CHO and CHON accounted for more than 90% of the total intensity of the OM peaks. Higher proportions of CHON compounds were observed during PM2.5 events (i.e., days with abnormally high PM2.5 levels) at both sites than on regular or non-event days. </p>
Atmospheric evolutions and sources of chromophoric organic matters in fine aerosols over Xi'an, Northwest China
<p>From December 31, 2018 to January 21, 2019, semi-continuous atmospheric observations were carried out using the PILS-EEM-TOC and organic carbon (OC) / element carbon (EC) analyzer system, collected the hourly timeseries data and EEM components data. The timeseries data contains organic carbon (OC) /element carbon (EC) / water soluble organic carbon (WSOC), absorbance (Abs), air pollutants, wind speed, relative humidity, solar radiation, source appointment etc. data.</p>
Sequencing data from: High levels of primary biogenic organic aerosols are driven by only a few plant-associated microbial taxa
<p>Primary biogenic organic aerosols (PBOA) represent a major fraction of coarse organic matter (OM) in air. Despite their implication in many atmospheric processes and human health problems, we surprisingly know little about PBOA characteristics (i.e., composition, dominant sources, and contribution to airborne-particles). In addition, specific primary sugar compounds (SCs) are generally used as markers of PBOA associated with bacteria and fungi but our knowledge of microbial communities associated with atmospheric particulate matter (PM) remains incomplete. This work aimed at providing a comprehensive understanding of the microbial fingerprints associated with SCs in PM<sub>10</sub> (particles smaller than 10µm) and their main sources in the surrounding environment (soils and vegetation). An intensive study was conducted on PM<sub>10</sub> collected at rural background site located in an agricultural area in France. We combined high-throughput sequencing of bacteria and fungi with detailed physicochemical characterization of PM<sub>10</sub>, soils and plant samples, and monitored meteorology and agricultural activities throughout the sampling period. Results shows that in summer SCs in PM<sub>10</sub> are a major contributor of OM in air, representing 0.8 to 13.5% of OM mass. SCs concentrations are clearly determined by the abundance of only a few specific airborne fungi and bacteria taxa. The temporal fluctuations in the abundance of only 4 predominant fungal genera, namely <i>Cladosporium</i>, <i>Alternaria</i>, <i>Sporobolomyces</i> and <i>Dioszegia</i> reflect the temporal dynamics in SC concentrations. Among bacteria taxa, the abundance of only <i>Massilia</i>, <i>Pseudomonas</i>, <i>Frigoribacterium</i> and <i>Sphingomonas</i> are positively correlated with SC species. These microbial are significantly enhanced in leaf over soil samples. Interestingly, the overall community structure of bacteria and fungi are similar within PM<sub>10</sub> and leaf samples and significantly distinct between PM<sub>10</sub> and soil samples, indicating that surrounding vegetation are the major source of SC-associated microbial taxa in PM<sub>10</sub> on rural area of France.</p>
GEOS-Chem organic aerosol mass concentrations output data, Zenodo
<p>GEOS-Chem organic aerosol mass concentrations output data</p>
Data for secondary organic aerosol and cardiorespiratory disease mortality
<p>This dataset contains county-level air pollutant concentrations calculated with the CMAQ model for the contiguous U.S. in 2016 and analysis code for post-processing CMAQ predictions, aggregating CMAQ to annual-average component values, aligning data by county, and performing the statistical analyses to associate air pollutant concentrations with county-level cardiorespiratory mortality.</p> <p> </p> <p><strong>Related Data</strong></p> <p>CMAQ v5.3.1 model code: https://doi.org/10.5281/zenodo.3585898</p> <p>CDC mortality data: http://wonder.cdc.gov/cmf-icd10.html</p> <p>Observed air pollutant concentrations: https://www.epa.gov/aqs</p> <p>County Health Rankings 2018 data: https://www.countyhealthrankings.org/explore-health-rankings/rankings-data-documentation</p>
Influence of organic aerosol composition determined by offline FIGAERO-CIMS on particle absorptive properties in autumn Beijing
<p>Data used in the Figures</p>
Measurement Report: Long-term Assessment of Primary and Secondary Organic Aerosols in Shanghai Megacity throughout China's Clean Air Actions since 2010 [dataset]
Open the record for dataset details and reuse information.
Resolving organic aerosol components contributing to the oxidative potential of PM2.5 in the North China Plain
Open the record for dataset details and reuse information.
Modeling organic aerosol over Europe in summer conditions with the VBS-GECKO parameterization: sensitivity to secondary organic compound properties and IVOC emissions [Dataset]
<p>This dataset is composed of simulation outputs of the CHIMERE model that were used to evaluate the VBS-GECKO SOA parameterization as described in the study :</p> <p>Lannuque, V., Couvidat, F., Camredon, M., Aumont, B., and Bessagnet, B. : Modelling organic aerosol over Europe in summer conditions with the VBS-GECKO parameterization: sensitivity to secondary organic compound properties and IVOC emissions, Atmos. Chem. Phys., <em>to be submitted soon</em>.<br> <br> <strong>Please cite the original ACP article when using these data in a publication.</strong></p> <p><br> The paper also contains more information about how these data were obtained.</p> <p>The dataset is composed of 34 netcdf files. The 17 "daily" files gather the daily averages and the 17 "profile" files present the average day profiles.</p> <p>Victor Lannuque</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.