Smartphone High-explosive Audio Recordings Dataset (SHAReD)

Collection of signals from of high explosives recorded on a smartphone sensor network available as a pandas DataFrame. The dataset is accompanied by two machine learning models (LFM and D-YAMNet) that were trained for explosion detection using SHAReD and the ESC-50 Dataset. There are 326 sets of signals from 70 high-explosive events. The sensors included are the following: Microphone Accelerometer Barometer Global Navigation Satellite Systems *The extended dataset only includes microphone data and information about the explosion. *D-YAMNet takes 0.96 seconds of audio at 16 kHz sample rate with input shape of (15360,) *LFM takes 0.96 seconds of audio at 800 Hz sample rate with input shape of (1, 768) For ease of use of machine learning models (LFM and D-YAMNet) the dataset (SHAReD + ESC-50) used for training and testing are included along with a simple python code to produce the ensemble model's confusion matrix seen in the publication.