ArduEvents_ArduLogs

This datset consists of two parts: ArduLogs (raw) and ArduEvents (processed). Each instance in the ArduLogs file consists of data measurements in various subsystems of Ardupilot-based UAVs, including GPS, battery, electrical engines, radio controller, UAV position and orientation, etc. Each of the 1104 flight instances can be loaded as a dictionary of PANDAS dataframes in Python as follows: ```python import pandas as pdimport pickleimport glob file = glob.glob('ArduLogs')[0]with open(file, 'rb') as f: flight1 = pickle.load(f) ``` ArduEvents is in CSV format with 1104 rows and 17 columns. Each row in the ArduEvents dataset corresponds to a flight log, indicating whether specific events occurred during the flight or not. This summarized version can be used for Causal Discovery applications.