GMSK comb Spectrum Sensing for Machine Learning

These files contains measurement results achievied in the following scenario:
Single PC with GNU Radio and connected USRP transmits GMSK comb signal (6x GMSK signal at center frequncies 2097.5 MHz, 2098.5 MHz, 2099.5 MHz, 2100.5 MHz, 2101.5 MHz, and 2102.5 MHz) with different amplifier gain.
Single PC with GNU Radio and connected USRP receives signal with central frequency 2100 MHz and bandwidth 40 MHz (treated like 40 x 1 MHz channels). It uses local osciallator offset equal 10 MHz and due to non-linear characteristics of amplifiers and filters in USRP the extreme 12 (on both sides) are removed. However to create (this) dataset only 6 channels where signal was transmitted were included.

Received is set in three different possitions (similar height and distance from transmitter) - creating 3 files - and collects data to detect presence of transmitted signal. Data that can be found in the files is stored in CSV format to be easly analyzed in ML models. 

Data collected at during this experiment contains:
six columns of average received power in the analyzed channels (in dBm)
six columns of autocorrelation function kurtosis in the analyzed channels (in linear scale)
six columns of autocorrelation function skewness in the analyzed channels (in linear scale)
one column with information about signal transmission (label; 0 - noise, 1 - signal transmitted)
one column with transmitter gain (in dB; set to -100 in case of lack of transmission)