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    Dataset associated with "Effects of aerosol type and simulated aging on performance of low-cost PM sensors"

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    Citable Link(s)
    https://hdl.handle.net/10217/207239
    http://dx.doi.org/10.25675/10217/207239
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    Time-averaged particulate matter mass concentrations reported by low-cost sensors (1.346Mb)
    Time-averaged particle number concentrations reported by low-cost sensors (999.1Kb)
    Time-averaged particle size distribution data measured using an Scanning Mobility Particle Sizer (1.272Mb)
    Time-averaged particle size distribution data measured using an Aerodynamic Particle Sizer (543.7Kb)
    Real-time particle size distribution data measured using an Aerodynamic Particle Sizer during a simulated aging experiment (305.5Kb)
    Particulate matter concentrations measured using a Tapered Element Oscillating Microbalance (291.2Kb)
    Particulate matter concentrations measured using a DustTrak (102.6Kb)
    Data associated with gravimetric filter samples (3.166Kb)
    Data recorded by low-cost particulate matter sensors during a simulated aging experiment (35.66Mb)
    Raw data from low-cost particulate matter sensors (122.9Mb)
    Raw data recorded by a DustTrak DRX 8533 (49.91Kb)
    README.txt (38.55Kb)
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    Abstract
    Studies that characterize the performance of low-cost particulate matter (PM) sensors are needed to help practitioners understand the accuracy and precision of the mass and number concentrations reported by different models. We evaluated Plantower PMS5003, Sensirion SPS30, and Amphenol SM-UART-04L PM sensors in the laboratory by exposing them to: (1) four different polydisperse aerosols (ammonium sulfate, Arizona road dust, NIST Urban PM, and wood smoke) at concentrations ranging from 10 to 1000 μg m-3, (2) hygroscopic and hydrophobic aerosols (ammonium sulfate and oil) in an environment with ...
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    Author(s)
    Tryner, Jessica; Mehaffy, John; Miller-Lionberg, Daniel; Volckens, John

    Date
    2020
    Format
    ZIP; TXT; CSV
    Associated Publications
    Tryner, J., Mehaffy, J., Miller-Lionberg, D., & Volckens, J. (2020). Effects of aerosol type and simulated aging on performance of low-cost PM sensors. Journal of Aerosol Science, 150, 105654. https://doi.org/10.1016/j.jaerosci.2020.105654
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    • Data - Department of Mechanical Engineering
    • Data - Rocky Mountain Advanced Computing Consortium

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