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143 results for “Particle size”
Measurement report: Vertical profiling of particle size distributions over Lhasa, Tibet: Tethered balloon-based in-situ measurements and source apportionment
<p>Particle size distribution data in summer 2020 in Lhasa, Tibet for https://doi.org/10.5194/acp-2021-810</p>
Particle number concentrations and size distributions in the stratosphere: Implications of nucleation mechanisms and particle microphysics
<p>The data files of all figures for ACP-2022-487 entitled: "Particle number concentrations and size distributions in the stratosphere: Implications of nucleation mechanisms and particle microphysics"</p>
Particle number size distributions associated with secondary organics
<p>We provide the model data used to reproduce the figures in our manuscript titled "secondary organic aerosol formation regulates cloud condensation nuclei in the global remote troposphere". </p>
Data to reproduce the results presented in Lake et al. 2022. Hydrological processes, https://doi.org/10.1002/hyp.14726 ("Using particle size distributions to fingerprint suspended sediment sources – evaluation at laboratory and catchment scales")
<p>This repository contains data on particle size distribution data obtained from the laboratory and field experiments as described in Lake et al., 2022. </p> <p>The data contains the input files as needed for the modelling:</p> <p>- In the excel files the particle size distribution data for the target SS</p> <p>- In the text file the particle size distribution data from the sources.</p> <p> </p> <p>Furthermore, the data contains the resulting output files.</p> <p> </p>
Modeling the hydrological cycle in the atmosphere of Mars: Influence of a bimodal size distribution of aerosol nucleation particles
<p>Data from figures.</p>
Breitenfeld et al. (2024) Dataset: Effect of Particle Size on Raman Signal Strength of Silicate Minerals
<p>This dataset includes a CSV file with the raw Raman spectra of six mineral samples (two forsterites, augite, dioside, labradorite, and bytownite) each at 10 particle size ranges. It also includes a CSV file with the cooresponding metdata (minerals names and particle size ranges in microns) for each spectrum.</p>
Data set related to the manuscript "Investigating the effect of particle size distribution and complex exchange dynamics on NMR spectra of ions diffusing in disordered porous carbons through a mesoscopic model"
<p>Graphical files in the agr format for all the figures in the manuscript entitled "Investigating the effect of particle size distribution and complex exchange dynamics on NMR spectra of ions diffusing in disordered porous carbons through a mesoscopic model". XYZ files giving the particles and bulk positions in the lattices are also provided.</p>
Data from: Environmental DNA particle size distribution and quantity differ across taxa and organelles
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2020 IMPACTS HVPS Individual Particle Measurements, Habits, and Size Distributions
<p>Morphological measurements for particles detected by the vertical channel of the High Volume Precipitation Spectrometer (HVPS) during seven flights of the 2020 IMPACTS field campaign, in netCDF format. Some flights have multiple files. Files ending in V_1.nc are individual particle files, while files ending in V.HVPS.nc are size distribution files. The numbers in all filenames represent the file start times, in format YYMMDDHHMMSS (in UTC). The individual particle data files include habit classifications as were used in Schima et al. 2024 (citation pending publication), and similarly, habit size distributions are available within the size distribution files. These files were created using University of Illinois/Oklahoma Optical Array Probe Processing Software (UIOPS, https://doi.org/10.5281/zenodo.1285968).</p> <p> </p> <p><strong>Some additional notes on habits</strong></p> <p>The size distribution files have a "habit" dimension of length 10. Along this dimension, indices in the files correspond to the following habits:</p> <div>0: sphere</div> <div>1: column/needle</div> <div>2: rejected</div> <div>3: tiny</div> <div>4: plate</div> <div>5: irregular</div> <div>6: graupel</div> <div>7: dendrite</div> <div>8: aggregate</div> <div>9: center-out</div> <div> </div> <div> </div> <div>The individual particle files have numeric codes for various habits. These codes refer to the following habits:</div> <div> </div> <div>77: missing</div> <div>67: center-out</div> <div>116: tiny</div> <div>111: rejected</div> <div>108: column/needle</div> <div>97: aggregate</div> <div>103: graupel</div> <div>115: sphere</div> <div>104: plate<br>105: irregular<br>100: dendrite</div> <div> </div>
2020 IMPACTS 2DS Individual Particle Measurements, Habits, and Size Distributions
<p>Morphological measurements for particles detected by the horizontal channel of the 2-Dimensional Stereo Probe (2DS) during seven flights of the 2020 IMPACTS field campaign, in netCDF format. Some flights have multiple files. Files ending in H_1.nc are individual particle files, while files ending in H.2DS.nc are size distribution files. The numbers in all filenames represent the file start times, in format YYMMDDHHMMSS (in UTC). The individual particle data files include habit classifications as were used in Schima et al. 2024 (citation pending publication), and similarly, habit size distributions are available within the size distribution files. These files were created using University of Illinois/Oklahoma Optical Array Probe Processing Software (UIOPS, https://doi.org/10.5281/zenodo.1285968).</p> <p> </p> <p><strong>Some additional notes on habits</strong></p> <p>The size distribution files have a "habit" dimension of length 10. Along this dimension, indices in the files correspond to the following habits:</p> <div>0: sphere</div> <div>1: column/needle</div> <div>2: rejected</div> <div>3: tiny</div> <div>4: plate</div> <div>5: irregular</div> <div>6: graupel</div> <div>7: dendrite</div> <div>8: aggregate</div> <div>9: center-out</div> <div> </div> <div> </div> <div>The individual particle files have numeric codes for various habits. These codes refer to the following habits:</div> <div> </div> <div>77: missing</div> <div>67: center-out</div> <div>116: tiny</div> <div>111: rejected</div> <div>108: column/needle</div> <div>97: aggregate</div> <div>103: graupel</div> <div>115: sphere</div> <div>104: plate<br>105: irregular<br>100: dendrite</div>
Experimental data of Large Effects of Particle Size Heterogeneity and Measurement Method on Dynamic Saltation Threshold
<p>There are the experimental data we conducted in a wind tunnel in Lanzhou University. And we present the original data about wind velocitys <em><strong>U</strong></em> [m/s] and corresponding measuring locations <em><strong>H</strong></em> above the sand bed [cm] with different sand size distribution here.</p>
Laser Disdrometer Particle Size and Velocities Distributions Raw data (2014-2017) for Melbourne, Australia
<p>This dataset includes raw data obtained from Laser Disdrometers installed in the proximity of Melbourne, Australia. It includes data from 2 Thies LPM and 2 OTT Parsivel. The description of this dataset as well as a first step in the processing are described in Guyot et al. (under review) at Hydrology and Earth Sciences Systems (publisher EGU) under an open-source Discussion format. </p>
Figure 1 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 1. Sampling sites in Sevastopol Bay, the Black Sea.
Particle size distribution of polycyclic aromatic hydrocarbons in the city of Venice
<p>Polycyclic aromatic hydrocarbons (PAHs) are important air contaminants, especially in urban areas, characterised by large emissions by road traffic, industries, and domestic heating. In air, PAHs can partition between the gas and the particulate phase because of their relative low vapor pressure.</p> <p>Previous studies focusing on the PAHs size distribution evidenced that PAHs tend to accumulate in fine particles (Hien et al., 2007; Li et al., 2019; Ren et al., 2017). The size of particles where a contaminant is mainly located is a key information for estimating the impact to human health. In fact, the smaller the particles, the deeper they can penetrate the respiratory system: nanoparticles (<100 nm) are small enough to pass from the pulmonary epithelium to the circulation, causing more sever damages on human health, with respect to those caused by fine and coarse particles.</p> <p>Several works studied the size distribution of PAHs in aerosol, but most of them focused on a small number of dimensional classes. Since PAHs have been identified as probable or possible carcinogenic compounds, deepening the knowledge about their size distribution becomes essential.</p> <p>In this work the particulate size distribution of PAHs was measured in Autumn 2020 using a cascade impactor MOUDI 110, obtaining twelve different dimensional classes of particles.</p> <p>PAHs were mainly distributed in fine particles (PM<sub>1</sub>). They showed a bi- or tri-modal distribution, with peaks in the coarse, in the accumulation, and in the Aitken modes (Figure 1). Passing from low to high molecular weight PAHs, peaks in the coarse and accumulation mode progressively reduce, and the peak in the Aitken mode increases. The same behaviour has been previously observed (Lv et al., 2016; Ren et al., 2017; Wu et al., 2006).</p> <p>Rarely in previous works a peak of PAHs at particle dimensions so close to nanoparticles has been measured. This can be due to the variety of releasing sources, particle aging processes, and meteorological conditions occurring in different places or to the different dimensional resolution of the conducted measurements. </p> <p>This means that a thorough investigation of the dimensional distribution of carcinogenic compounds can shed light on their actual danger, which depends not only on their concentration, but also on the size distribution. These preliminary results will be soon integrated with further samples in different seasons.</p> <p>We thank Giada D’Errico for her help in the experimental activities (sampling and analysis).</p> <p> </p>
Particle-size distribution of Iberian unfired potsherds from the Late Iron Age
<p>This data set contains 38 particle-size distributions (PSD) of unfired potsherds from the Iberian workshop of the Mas de Moreno (Teruel, Spain). The distributions were obtained by laser diffraction.</p> <p><strong>Method</strong></p> <p>The PSDs were measured using a LA-950V2 (HORIBA) laser granulometer.</p> <p>All the samples were pre-treated with hydrogen peroxide to remove organic matter. The samples were then dispersed in water using sodium hexametaphosphate and ultrasonication.</p> <p>The PSDs were calculated using the Mie solution to Maxwell's equation, with 1.33 as the water refractive index and 1.55-0.1i as the sediment refractive index.</p> <p><strong>Data description</strong></p> <ul> <li><em>sample:</em> sample reference;</li> <li><em>date:</em> date of the analysis;</li> <li><em>laboratory:</em> analysis laboratory;</li> <li><em>H2O2:</em> has the sample been pre-treated with hydrogen peroxide?</li> <li><em>HCl:</em> has the sample been pre-treated with chloridic acid?</li> <li><em>HMP:</em> has the sample been dispersed with sodium hexametaphosphate?</li> <li><em>ultrasonication:</em> duration of ultrasonic dispersion (seconds);</li> <li><em>0.011</em> to <em>3000.000: </em>relative amount (percent) for the given grain size (micrometers).</li> </ul>
Particle size influences decay rates of environmental DNA in aquatic systems
<p>Environmental DNA (eDNA) analysis is a powerful tool for remote detection of target organisms. However, obtaining quantitative and longitudinal information from eDNA data is challenging, requiring a deep understanding of eDNA ecology. Notably, if the various size components of eDNA decay at different rates, and we can separate them within a sample, their changing proportions could be used to obtain longitudinal dynamics information on species. To test this possibility, we conducted an aquatic mesocosm experiment in which we separated fish-derived eDNA components using sequential filtration to evaluate the decay rate and changing proportion of various eDNA particle sizes over time. We then fit four alternative mathematical decay models to the data, building towards a predictive framework to interpret eDNA data from various particle sizes. We found that medium-sized particles (1-10 μm) decayed more slowly than other size classes (i.e., <1 μm and >10 μm), and thus made up an increasing proportion of eDNA particles over time. We also observed distinct eDNA particle size distribution (PSD) between our Common carp and Rainbow trout samples, suggesting that target-specific assays are required to determine starting eDNA PSDs. Additionally, we found evidence that different sizes of eDNA particles do not decay independently, with particle size conversion replenishing smaller particles over time. Nonetheless, a parsimonious mathematical model where particle sizes decay independently best explained the data. Given these results, we suggest a framework to discern target distance and abundance with eDNA data by applying sequential filtration, which theoretically has both metabarcoding and single-target applications.</p>
Suspended particle and floc sizes in the lower most reaches of the Mississippi River during summer 2020 and winter 2021
<p>Data associated with the paper: Osborn, R., Dunne, K. B. J., Ashley, T., Nittrouer, J. A., & Strom, K. (2023). The flocculation state of mud in the lowermost freshwater reaches of the Mississippi River: Spatial distribution of sizes, seasonal changes, and their impact on vertical concentration profiles. <em>Journal of Geophysical Research: Earth Surface</em>, 128, e2022JF006975. <a href="https://doi. org/10.1029/2022JF006975">https://doi. org/10.1029/2022JF006975</a></p>
Data set related to the manuscript "Investigating particle size effects on NMR spectra of ions diffusing in porous carbons through a mesoscopic model"
<p>Graphical files in the agr format for all the figures in the manuscript entitled "Investigating particle size effects on NMR spectra of ions diffusing in porous carbons through a mesoscopic model". Examples of input files for the lattice simulations are also provided.</p>
Radionuclide, particle size and elemental geochemistry analysis results of the Poechos sediment core, northern Peru
<p>This database presents the particle size, elemental geochemistry and radionuclide analyses carried out on the 19CO3 core (IGSN number: 10.58052/IEFOU0009) collected in June 2019 in the Poechos reservoir (Peru). These results are part of the publication <em>" El Niño-Southern Oscillation (ENSO)-driven hypersedimentation in the Poechos Reservoir, northern Peru "</em> available via the following link: http://dx.doi.org/10.5194/egusphere-2022-1233</p> <p>Corresponding authors: anthony.foucher@lsce.ipsl.fr</p> <p>Particle size analysis was performed using a laser grain sizer Malvern Mastersizer 3000 allowing to measure the grain size distribution between 10 nm and 3.5 mm. Particle size was measured on the sandy layers identified along the core (n=19) Grain size parameters such as d10, d50, d90 and raw are present on the file: <em>Particle_size_POECHOS-reservoir_Foucher-et-al</em></p> <p>Sediment core sections were analyzed with an Avaatech X-Ray Fluorescence core scanner (XRF) available at the Laboratoire des Sciences du Climat et de l’Environnement (Gif-sur-Yvette, France) with a 0.5 cm resolution. These data are available on the file: <em>XRF_core_scanner_POECHOS-reservoir_Foucher-et-al</em></p> <p>Gamma spectrometry measurements were obtained using HPGe detectors (Canberra/Ortec) available at the Laboratoire des Sciences du Climat et de l’Environnement. Short-lived radionuclides (e.g., caesium-137 (137Cs) and excess of lead-210 (210Pbex)) were measured in 12 samples of dry sediment (≈10g) collected along the sedimentary sequence (approximatively every 40 cm). The data are available on the file: <em>Radionuclides_POECHOS-reservoir_Foucher-et-al</em></p>
Particle size influences decay rates of environmental DNA in aquatic systems
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