Journal of Aerosol Science

The 'particle size distribution.xlsx' file summarizes the size distribution of soot particles from laboratory-scale flares simulated by turbulent diffusion flames. The 'effective density.xlsx' file summarizes the effective density of soot particles from laboratory-scale flares simulated by turbulent diffusion flames.

Supplementary Information

All the time-series data of the particle positions used in the demonstration experiment are provided in .txt files. There are 69 files, one for each particle. The data are in three columns: time (seconds), x-position (meters), y-position (meters). The zero coordinate for (x,y) corresponds to the top-left corner of the camera's field of view, while (0.00973, -0.00608) is the bottom-right corner.

These files provide the time evolution of the size distribution parameters calculated by the sectional method for thermophoretic coagulation. Three different initial geometric standard deviations, 1.1, 1.4 and 1.8, are selected. Since this paper is a theoretical study, the other data can be directly obtained from the formulas given in the paper.

First and second moments of complex refractive index spectra based on the Bruggeman effective medium approach for Asian and North African mineral dust aerosols. The wavelength spectrum and resolution is given in the file wavelength_range.txt Availabel regions are: - Northern Sahara - Southern Sahara - West Asia (Gobi desert) - East Asia The standard deviation of the spectra for each region is given in files with the _stdv_ designation. Files containing mean spectra are unmarked. The moments have been computed based on the size distributions published in Dubovik et al. (2002). References: ======== Bruggeman, D. A. G., (1935). Berechnung verschiedener physikalischer Konstanten von heterogenen Substanzen: 1. Dielektrizitätskonstanten und Wärmeleitfähigkeiten der Mischkörper aus isotropen Substanzen, Annalen der Physik, 5. Folge, Band 24, pp. 636-664. Transl.: Calculation of various physical constants of heterogeneous substances: 1. Dielectric permittivities and heat conductivities of mixed bodies made out of isotropic substances. Dubovik, O., Hoben, B., Eck, T. F., Smirnov, A., Kaufman, Y. J., King, M. D., Tanré, D., & Slutsker, I., (2002). Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations, J. Atmos. Sci. 59, pp. 590-608.

3-D Geometry Files (.stl and .wrl) for the Carleton University standardized nasal model. Please cite the following publication when using these data: Liu, Y., Johnson, M.R., Matida, E.A., Kherani, S., and Marsan, J., (2009). Creation of a standardized geometry of the human nasal cavity. J. Appl. Physiol.. 106:784–95.

This supplemental information consists of scanning electron microscope (SEM) images of aerosol particles classified by an Aerodynamic Aerosol Classifier (AAC) and Differential Mobility Analyzer (DMA) in tandem.

This mechanism describes the decomposition model of TTIP through the C3H6 and CH3 abstraction pathways as published by Buerger et al. (Proc. Combust Inst., 36:1019-1027, 2017). Dissociation reactions of Ti(OH)4 are included and are assumed to be barrierless. The thermo data is taken from Buerger et al. and transport data is estimated using the transport data of similar species used by Shmakov et al. (Proc. Combust. Inst., 34:1143-1149, 2013).

This dataset contains the raw data for the paper and plastic mask extracts. The data include the features identified in positive and negative modes, including the abundance of each feature in the mask samples.

This dataset contains the raw data output from measurements of 3D printer emissions using both ABS and PLA feedstocks.