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52 results for “Particle Size Distribution”
Data related to manuscript: Comparison of size distribution and electrical particle sensor measurement methods for particle lung deposited surface area (LDSAal) in ambient measurements with varying conditions (accepted for publication in Aerosol Research)
<p>These files include data which was utilised to calculate the results in the manuscript (https://doi.org/10.5194/ar-2024-13). </p>
Ultrafine particles and size distributions from airborne experiments
<p>Dataset of ultrafine particles measured during aircraft campaigns with microloght D-MIFU and Dimona VH-OBS and VH-EOS for particle budget studies.</p>
Particle Size Distribution from a LISST 100-X instrument for three transect cruises across the North Pacific Ocean
<p>Particle size distribution data (numbers per liter per micrometer) over 32 logarithmically-spaced size bins from a Laser In-Situ Scattering and Transmissometry sensor, LISST 100X Type B (Sequoia Scientific). Data are from three transect cruises in the North Pacific funded by the Simons Foundation (Gradients 1, 2, and 3). Cruises transited approximately along 158W, and between 21N and 42N. LISST data was processed using spherical kernel inversion and corrected for background particle concentrations as in White et al (2015):</p> <p>White, A. E., Letelier, R. M., Whitmire, A. L., Barone, B., Bidigare, R. R., Church, M. J., and Karl, D. M. (2015), Phenology of particle size distributions and primary productivity in the North Pacific subtropical gyre (Station ALOHA), <em>J. Geophys. Res. Oceans</em>, 120, 7381– 7399, doi:<a href="https://doi.org/10.1002/2015JC010897">10.1002/2015JC010897</a>.</p>
Effects of hyporheic exchange and settlement on the particle size distribution of colloids
<p>The files refer to the data set files used in the manuscript (txt and ew format), and the matlab files (mat and m format).</p>
Size-resolved particle number emissions in Beijing determined from measured particle size distributions
<p>The average daily cycle of size-resolved particle number emissions determined for the measurement station of Beijing University of Chemical Technology, Beijing, China. The average is calculated for January 2018 – March 2019. The details of the particle size distribution measurements and the method used for producing the emissions are presented by Kontkanen et al., Size-resolved particle number emissions in Beijing determined from measured particle size distributions, ACP, 2020.</p> <p>Data file contents:</p> <p>1st row contains particle diameter (unit:m).<br> 1st column contains time (unit:hour), and the following columns contain particle number emissions (unit: m<sup>-2</sup> s<sup>-1</sup>).</p> <p>For more details, contact: jenni.kontkanen@helsinki.fi</p> <p> </p>
Data of "JGR-Cluster analysis of submicron particle number size distribution at SORPES station in Yangtze River Delta of East China"
<p>Data of "JGR-Cluster analysis of submicron particle number size distribution at SORPES station in Yangtze River Delta of East China"</p>
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
Open the record for dataset details and reuse information.
Particle size and velocity distributions from an OTT Parsivel optical disdrometer located at Mario Zucchelli Station, aggregated to 5min, monthly netCDF archive
<p>Disdrometric data from an OTT Parsivel with 32 size classes and 32 velocity classes located at Mario Zucchelli Station (Antarctica, -74.6945 N, 164.1152 E, 15 m a.s.l.). Mid values and widths of the classes are provided. Spectra are sampled every 5 minutes (after merging five 1-minute measurements) and saved in monthly netCDF files. Note that this data has been processed regardless of precipitation type. Particle Size distribution (PSD) is calculated for every data entry. Monthly cumulated spectra and PSD are also provided.</p> <p>Metadata available at <a href="https://antarcticdatacenter.cnr.it/geonetwork/srv/api/records/ed6ea5bf-3f59-467b-9914-f4db387bb55d">https://antarcticdatacenter.cnr.it/geonetwork/srv/api/records/ed6ea5bf-3f59-467b-9914-f4db387bb55d</a></p> <p>--------------------------------------------------------------------</p> <p>Example of netCDF file structure:</p> <p> </p> <h2>File "MZS_PAR_201612_5min.nc"</h2> <pre><strong> dimensions</strong>: <em>diameter </em>= 32; <em>velocity </em>= 32; <em>time </em>= UNLIMITED; // (7488 currently) <strong>variables</strong>: long <em>time_UTC</em>(time=7488); :description = "Measurement time. Timestamp indicates the end of the observation interval, e.g. 01-Mar-2020 00:05:00 represents the particle counts registered between 01-Mar-2020 00:00:01 and 01-Mar-2020 00:05:00."; :time_zone = "UTC"; :units = "Seconds since 1970-01-01 00:00:00 (Unix time)."; :_ChunkSizes = 512U; // uint float <em>diameters</em>(diameter=32); :description = "Mid values of the size classes"; :units = "mm"; float <em>velocities</em>(velocity=32); :description = "Mid values of the velocity classes"; :units = "m s^-1"; float <em>diameters_width</em>(diameter=32); :description = "Width of the size classes"; :units = "mm"; float <em>velocities_width</em>(velocity=32); :description = "Width of the velocity classes"; :units = "m s^-1"; int <em>spectrum</em>(diameter=32, velocity=32, time=7488); :description = "Matrix of particle counts in each of the 32 diameter sizes and 32 velocity ranges over 5 minutes."; :units = "counts"; :_ChunkSizes = 32U, 32U, 1U; // uint float <em>PSD</em>(diameter=32, time=7488); :description = "Particle size distribution, 5 minutes interval, normalized by the observed volume."; :units = "m^-3 mm^-1"; :_ChunkSizes = 32U, 1U; // uint double <em>monthlySpectrum</em>(diameter=32, velocity=32); :description = "Matrix of particle counts in each of the 32 diameter sizes and 32 velocity ranges over the entire month."; :units = "counts"; double <em>monthlyPSD</em>(diameter=32); :description = "Particle size distribution for the whole month, normalized by the observed volume."; :units = "m^-3 mm^-1"; // <strong>global attributes</strong>: :<em>title </em>= "OTT Parsivel disdrometer data, aggregated to 5min, monthly netCDF archive."; :<em>comment </em>= "Particle counts diveded in 32 size classes and 32 velocity classes. Note that this data has been processed regardless of precipitation type."; :<em>time_label </em>= "Dec 2016"; :<em>institution </em>= "CNR-ISAC, Rome (IT)"; :<em>contact_person </em>= "Luca Baldini, CNR-ISAC, Rome, l.baldini@isac.cnr.it"; :<em>source </em>= "OTT Parsivel disdrometer at MZS (Antarctica)"; :<em>location </em>= "Mario Zucchelli Station (74°42\'S, 164°07\'E, 15 m a.s.l.)"; :<em>author </em>= "Giacomo Roversi, Ca\' Foscari University, Venice (IT) and CNR-ISAC, Rome (IT), g.roversi@isac.cnr.it"; :<em>creation_date </em>= "04-Nov-2024 15:40:53 UTC"; :<em>coverage </em>= "Monthly coverage (Dec 2016): 83.871 %"; :<em>time_resolution </em>= "5 minutes"; :<em>history </em>= "Created from raw OTT telegram, aggregated to 5min temporal resolution with a sum of the 1-minute counts if least 3 out of 5 are not NaN.";</pre> <p> </p>
Sensitivity of Pharmacokinetics to Differences in Aerodynamic Particle Size Distribution
ClinicalTrials.gov study NCT01966692. IPD Sharing: YES. Countries: 1. Publications: 0.
Particle Number Size Distribution of Wintertime Alpine Aerosols and Their Activation as Cloud Condensation Nuclei in the Guanzhong Plain, Northwest China
<p>This is the drawing data of manuscript entitled 'Characteristics of Particle Number Size Distribution of Alpine Aerosols on Mt. Hua and Their Activation as Cloud Condensation Nuclei.</p>
Sensitivity of Pharmacokinetics to Differences in Particle Size Distribution of Suspension-based Nasal Sprays
ClinicalTrials.gov study NCT02588326. IPD Sharing: Not stated. Countries: 1. Publications: 0.
aerosol large particles size distribution collected at Gruvebadet, NY ALESUND, SVALBARD
<p>At Gruvebadet aerosol size distribution are measured with a scanning mobility particle sizer spectrometer TSI SMSP 3034, in the range 10-487 nm), and with a Aerodynamic particle sizer TSI APS 3321 i the range 500-20000 nm) since 2010. Data are collected with a frequency of 10 minutes.</p> <p>SMPS 3034 collect data in 54 size channels centred at</p> <p>Dsmps=(micron) (54 channels)</p> <p>0.0104 0.0111 0.012 0.0129 0.0138 0.0149 0.0160 0.0172 0.0184 0.0198 0.0213 0.0229 0.0246 0.0264 0.0284 0.0305 0.0328 0.0352 0.0379 0.0407 0.0437 0.047 0.0505 0.0542 0.0583 0.0626 0.0673 0.0723 0.0777 0.0835 0.0898 0.0965 0.1037 0.1114 0.1197 0.1286 0.1382 0.1486 0.1596 0.1715 0.1843 0.1981 0.2129 0.2288 0.2458 0.2642 0.2839 0.3051 0.3278 0.3523 0.3786 0.4068 0.4371 0.470</p> <p>For each channel of SMPS and APS the quantity DN/DlogD is provided</p> <p>Data are stored in monthly files, separately for SMPS, that contains columns of collected measurements in the following order:</p> <p> </p> <p><strong>column 1</strong> Date time (YYYY-MM-DD HH:MM:SS) in UTC</p> <p><strong>column 2</strong> DN/DlogD 1st channel</p> <p><strong>......</strong></p> <p><strong>column XX </strong>DN/DlogD last channel</p> <p> </p> <p>where XX is</p> <p>55 for SMPS 3034 (fine particles)</p> <p>52 for APS 3321 (coarse particles)</p> <p> </p> <p>We have holes in the data due to instrument failures. In particular we have few months without measurements (empty files).</p> <p>For APS they are: 01/2016, 02/2016, 06-12/2016, 01/2017, 11/2017, 12/2017, 01/2018, 11/2018, 12/2018</p> <p>.</p>
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OpenNeuro
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