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20 results for “hygroscopicity”

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zenodo40/100

The wavelength-dependent complex refractive index of hygroscopic aerosol particles and other aqueous media: an effective oscillator model

<p>Using cavity-enhanced Raman spectroscopy&nbsp;of single, optically trapped droplets,&nbsp;we measure both the real and imaginary parts of the refractive index of NaCl, NaNO<sub>3</sub>,&nbsp; (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>, MgSO<sub>4</sub>, citric acid and a 1:1 molar ratio&nbsp;NaCl:NaNO<sub>3</sub> aqueous solutions at a range of water activities.&nbsp;</p>

opencc-by-4.0Aug 2019View details →
zenodo40/100

Degradation by brown rot fungi increases the hygroscopicity of heat-treated wood

<p>This dataset contains measurement data from the following publication: Belt, T.; Altgen, M.; Awais, M.; Nopens, M.; Rautkari, L.&nbsp;(2023) Degradation by brown rot fungi increases the hygroscopicity of heat-treated wood. International Biodeterioration &amp; Biodegradation, 186:105690. DOI:<a href="https://doi.org/10.1016/j.ibiod.2023.105690">10.1016/j.ibiod.2023.105690</a>. Scots pine sapwood samples were heat-treated under superheated steam and then exposed to brown rot decay by&nbsp;<em>Coniophora puteana</em>&nbsp;and&nbsp;<em>Rhodonia placenta&nbsp;</em>in a stacked-sample decay test, after which a&nbsp;subset of samples was selected for sorption isotherm measurements and near infrared (NIR) imaging.&nbsp;Further details on the experimental procedures can be found in the publication.&nbsp;</p> <p>The &quot;Sample IDs and mass data.csv&quot; -file contains the sample IDs and all measured mass data for every sample. Masses m0, m1, m2, and m3 are the masses of the samples in the dry state before modification, in the dry state after modification and leaching, in the wet state at the end of the decay test, and in the dry state after the decay test, respectively.</p> <p>The &quot;Sorption measurements_C puteana.xlsx&quot; and&nbsp;&quot;Sorption measurements_R placenta.xlsx&quot; files contain the sorption measurement data collected from samples degraded by <em>C. puteana</em> and <em>R. placenta</em>, respectively. Each tab in the files shows the mass data recorded for a given sample over the sorption measurement sequence.&nbsp;</p> <p>The &quot;NIR spectra.csv&quot; -file contains the unprocessed average NIR spectra extracted from the NIR images. Details on the extraction of average spectra from the images can be found in the publication.&nbsp;</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Dataset used in publication "The Climatic Effects of Hygroscopic Growth of Sulfate Aerosols in the Stratosphere"

<p>Essential model data used to produce the figures and tables in publication &quot;The Climatic Effects of Hygroscopic Growth of Sulfate Aerosols in the Stratosphere<strong>&quot;</strong></p>

opencc-by-4.0Dec 2019View details →
zenodo36/100

Closure Study on Hygroscopic Properties of Water-soluble Matter in Atmospheric PM2.5 at a Rural Site in Northwest China

<p>The data supports the manuscript entitled &ldquo;<strong>Closure Study on </strong><strong>Hygroscopic Properties</strong> <strong>of Water-soluble Matter in Atmospheric PM<sub>2.5</sub> at a Rural Site in Northwest China&rdquo;</strong>. The data can be used&nbsp;freely for scientific purposes with the appropriate citation.</p>

opencc-by-4.0Aug 2020View details →
zenodo36/100

Application of a Comprehensive Hygroscopicity Framework for Simulating Aerosol Water Uptake in a Large-scale Climate Model

<p>This dataset was generated from 18-month simulations of the NCAR Community Atmosphere Model (CAM); the atmospheric component of the Community Earth System Model version 2&nbsp;(CESM2). The dataset can be used to reproduce the analysis and figures presented in the upcoming JGR publication.</p>

opencc-by-4.0Oct 2023View details →
dryad36/100

Hygroscopic growth and size distribution data for: In situ measurements of human cough aerosol hygroscopicity

Open the record for dataset details and reuse information.

publicApr 2021View details →
zenodo32/100

Data for "On the difference of aerosol hygroscopicity between high and low RH conditions in the North China Plain"

<p>Data for &quot;Measurement Report: On the difference of aerosol hygroscopicity between high and low RH conditions in the North China PlainMeasurement Report: On the difference of aerosol hygroscopicity between high and low RH conditions in the North China Plain&quot;</p>

opencc-by-4.0Dec 2021View details →
zenodo32/100

Aerosol Particle Hygroscopicity and Aerosol Water Content is Driven by Nitrate and Organics in the Particle Phase in Houston, TX.

<p>Related datasets and codes utilized in preparing the manuscript by the same name, submitted to JGR Atmosphere in June 2024.&nbsp;</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Measurement report: The variation properties of aerosol hygroscopic growth related to chemical composition during new particle formation days in a coastal city of southeast China

<p>The aerosol scattering hygroscopic growth factor (f(RH)), along with conventional air pollutants and meteorological parameters were simultaneously observed from February to April 2022 in Xiamen, a coastal city of southeast China.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

AOD-dry PM2.5 Relationship with Consideration of Aerosol Type and Hygroscopicity

<p>The &quot;dataset1_NGAI training&quot;&nbsp;file is AERONET data for training NGAI index.</p> <p>The &quot;dataset2_AOD_PM2.5&quot; for raw relationships between AOD and PM2.5</p> <p>The &quot;dataset2_AOD_PM2.5_RH&quot; for improving the relationships through filtering aerosol types and RH consideration.</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2021View details →
zenodo32/100

Datasets for 'High Arctic aerosol hygroscopicity at sub- and supersaturated conditions during spring and summer'

<p>For a description of the datasets, please see the readme file included in the zip folder</p>

opencc-by-4.0Jun 2022View details →
zenodo32/100

Quantifying particle-to-particle heterogeneity in aerosol hygroscopicity

<p>Chemical compositions in an aerosol polulation can generally be classified into the nearly hydrophobic (NH), the less hygroscopic (LH), and the more hygroscopic (MH) components according to their capacities of water absorption. The distribution of these three components varies between and within particles due to the complex sources and aging processes, causing the particle-to-particle heterogeneity in aerosol hygroscopicity. Although this heterogeneity is of great importance to the evaluation of aerosol climatic and environmental effects, it has not been paid attention to in previous studies. This study proposes an algorithm to quantify the particle-to-particle heterogeneity from in-situ measurements for the first time. This algorithm can efficiently characterize the evolution of aerosol heterogeneity with time in the atmosphere and provide a framework for quantifying heterogeneities to merge observations into numerical models to deeply investigate how heterogeneity in aerosol hygroscopicity influences aerosol effects on climate and environment.</p>

opencc-by-4.0Nov 2022View details →
zenodo32/100

Dataset for "Relationships of the Hygroscopicity of HULIS with Their Degrees of Oxygenation and Sources in the Urban Atmosphere, J. Geophys. Res. Atmos."

<p>The hygroscopicity of humic-like substances (HULIS) from Beijing aerosols and its relationship with the degrees of oxygenation and sources were investigated. The dataset in the Excel sheet contains the measured hygroscopicity parameter (<em>&kappa;</em>), elemental ratios, and estimated intrinsic<em> &kappa;</em> for HULIS, and the mass-based source contributions to HULIS, the <em>&kappa;</em> estimated for total organic aerosol and the high-polarity fraction of water-soluble organic matter, and other data for Zhou et al. in Journal of Geophysical Research: Atmospheres. The concentrations and elemental ratios of HULIS and the source contributions to HULIS (both in &micro;g/m<sup>3</sup> and percentage) were taken from Zhou et al. (2021). The dataset is based on the work supported by JSPS KAKENHI JP19H04253 and the National Natural Science Foundation of China (grant no. 41625014).</p> <p>Ruichen Zhou, Yange Deng, Bhagawati Kunwar, Qingcai Chen, Jing Chen, Lujie Ren, Kimitaka Kawamura, Pingqing Fu, and Michihiro Mochida: Relationships of the hygroscopicity of HULIS with their degrees of oxygenation and sources in the urban atmosphere, J. Geophys. Res. Atmos.</p> <p>Ruichen Zhou, Qingcai Chen, Jing Chen, Lujie Ren, Yange Deng, Petr Vodicka, Dhananjay K.Deshmukh, Kimitaka Kawamura, Pingqing Fu, and Michihiro Mochida: Distinctive sources govern organic aerosol fractions with different degrees of oxygenation in the urban atmosphere, Environ. Sci. Technol., 55, 4494&ndash;4503, 2021.</p>

opencc-by-4.0Nov 2022View details →
zenodo32/100

Virus infection of phytoplankton increases average molar mass and reduces hygroscopicity of aerosolized organic matter

<p>Raw data pertaining to the manuscript titled &quot;Virus infection of phytoplankton increases average molar mass and reduces hygroscopicity of aerosolized organic matter.&quot;</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

Data for "Influence of Arctic microlayers and algal cultures on sea spray hygroscopicity and the possible implications for mixed-phase clouds"

<p>Dataset and data analysis for the paper on &quot;Influence of Arctic microlayers and algal cultures on sea spray hygroscopicity and the possible implications for mixed-phase clouds&quot; published in&nbsp;<em>Journal of Geophysical Research: Atmospheres.&nbsp;</em></p> <p>The folder &quot;CCN data analysis&quot; contains the measured raw and processed CCN data, data analysis and presentation of the data (Figure 2-4).&nbsp;<br> The fold &quot;Modelling&quot; gives the post-processed model output used for producing&nbsp;figures 5-10.&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2020View details →
zenodo28/100

Data for "Impact of SO2 and Light on Chemical Morphology and Hygroscopicity of Natural Salt Aerosols"

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2023View details →
zenodo28/100

Low hygroscopicity of newly-formed particles on the North China Plain and its implications for nanoparticle growth

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo28/100

Raw Data for "Measurement of Photochemical Haze Refractive Indices and Hygroscopicity: Influence of CO2 in CH4/H2S/N2 Mixtures"

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opencc-by-4.0Oct 2024View details →
zenodo28/100

Measurement report: The influence of particle number size distribution and hygroscopicity on the microphysical properties of cloud droplets based on a mountain site field campaign

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opencc-by-4.0Oct 2024View details →
zenodo24/100

Data for "Ionic Composition, Hygroscopicity and Isotopic Analysis of Surface Salts in Qaidam Basin: Implications for Martian Research"

<p>This is the dataset for the paper&ldquo;Ionic Composition, Hygroscopicity and Isotopic Analysis of Surface Salts in Qaidam Basin: Implications for Martian Research&rdquo;</p>

opencc-by-4.0Apr 2023View details →

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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.

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Last verified 2026-04-29Open record