Dataset for "Simulating Electron Distribution Function in the Pulsation Aurora Using Particle and Wave Data of ARASE Satellite"

This is the dataset for the paper "Simulating Electron Distribution Function in the Pulsation Aurora Using Particle and Wave Data of ARASE Satellite" by George V. Khazanov, Qianli Ma, and Mike Chu, submitted to Journal of Geophysical Research: Space Physics. <br> The dataset is organized for 4 time intervals (t0, t1, t2 and t3). For each interval, the data of Arase measurements to be used for STET simulation, and the diffusion coefficients are included. <br> Abstract Decades lasting research on the pulsation aurora suggested that this phenomenon forms as result of interaction between the magnetospheric keVs electrons and whistler-mode chorus waves. Arase satellite observation reported the direct evidence for this process confirming in situ measurement of highly correlated precipitated electrons and chorus wave activity. This paper presents the theoretical analysis of this observational event based on SuperThermal Electron Transport (STET) code that simulates the highly dynamic environment of measured waves and particle data. Specifically, the STET code simulated results confirms the delicate loss-cone observation results of this mission and reveals the broader energy range of precipitated electron fluxes that was not measurable by Arase satellite.