Figure_6_data.txt lists the real-time confidence percentage for each of the pollen types, as well as diesel soot and wood ash for each measurement (row in the list). Figure_5a_data.txt contains the data array for the prediction accuracy map of polystyrene microspheres in Figure 4 part a. Figure_5b_data.txt contains the data array for the prediction accuracy map of silicon dioxide microspheres in Figure 5 part b. Figure_4_image_files.zip is a zipped folder containing image files of the scattering/diffraction patterns and images of the corresponding particles for the 3 subfigures, a,b and c. Figure_1.bmp is the image used in machine learning concept in Figure 1. Figure_2.bmp is the image used in experimental setup schematic in Figure 2. Figure_3.bmp is the image of the neural network diagram used in Figure 3. Python_code.txt contains python code describing CNN architecture and training/validating/testing process.