Replication Data for: A Comparison of Smartphone and Infrasound Microphone Data from a Fuel Air Explosive and a High Explosive

Explosion data from a Fuel Air Explosive (Thermobaric Bomb) and a high explosive collected on an infrasound microphone and a smartphone sensor network. The infrasound microphone data are in units of Pascals and the smartphone microphone data are in units of bits (Garcés, 2020; Garcés, 2023). Both data have not been corrected for local weather effects (Sachs, 1944). The data is available as a pandas DataFrame, a collection of SAC files, and a collection of miniSEED files for greater usability. However, the pandas DataFrame is recommended as all the information is consolidated. Supplementary information on the sensors for miniSEED and SAC is available in CSV format. channel name convention for miniSEED and SAC: GDF: microphone SDO: barometer ABT: barometer time DN1*: accelerometer (x-axis, towards the right of phone when looking at the screen in vertical orientation) DN2*: accelerometer (y-axis, towards the top of phone when looking at the screen in vertical orientation) DNZ*: accelerometer (z-axis, perpendicular to the phone when looking at the screen in vertical orientation) AAT: accelerometer time *the phones were laying flat on ground however were not oriented towards North or East. References: Sachs, R. G. (1944), The dependence of blast on ambient pressure and temperature, Tech. rep., DTIC Document. Garcés, M. A. (2020). Quantized Constant-Q Gabor Atoms for Sparse Binary Representations of Cyber-Physical Signatures. Entropy, 22(9), 936. https://doi.org/10.3390/e22090936 Garcés, M. A., (2023) Quantized Information in Spectral Cyberspace. Entropy. 25(3), 419. https://doi.org/10.3390/e25030419