IQ signals captured from multiple Sub-GHz technologies

The dataset was captured using a RTL-SDR at a sampling rate of 2.048 MHz using coaxial cables. Two center frequencies (864.0 MHz and 867.4 MHz) were considered to cover all considered channels of the wireless Sub-GHz technologies. The following settings for the various technologies have been considered:

| Technology             | Center frequency    | Bandwidth | Modulation / setting                  | 
| --------               | --------            | --------  | --------                              |
| LoRa                   | 868.1 MHz           | 125 MHz   | Spread spectrum SF 7                  |
|                        | 868.1 MHz           | 125 MHz   | Spread spectrum SF 12                 |
| Sigfox                 | 868.2 MHz           | 100 Hz    | BPSK (400 chan.)                      |
| IEEE 802.11ah          | 863.5 MHz           | 1 MHz     | MCS 0, 10 (BPSK) and 7 (64-QAM)       |
|                        | 864.0 MHz           | 2 MHz     | MCS 0 (BPSK) and 7 (64-QAM)           |
|                        | 864.5 MHz           | 1 MHz     | MCS 0, 10 (BPSK) and 7 (64-QAM)       |
|                        | 866.0 MHz           | 2 MHz     | MCS 0 (BPSK) and 7 (64-QAM)           |
| IEEE 802.15.4 SUN-FSK  | 868.1 MHz           | 200 KHz   | BFSK                                  |
| IEEE 802.15.4 SUN-OFDM | 863.625 MHz         | 1.2 MHz   | MCS 2 (OQPSK)                         |
|                        | 863.425 MHz         | 800 KHz   | MCS 2 (OQPSK)                         |
|                        | 863.225 MHz         | 400 KHz   | MCS 2 (OQPSK)                         |
|                        | 863.125 MHz         | 200 KHz   | MCS 2 (OQPSK)                         |
|                        | 863.125 MHz         | 200 KHz   | MCS 6 (16-QAM)                        |

The dataset consist of multiple .mat files, which can be read with Matlab or with Python using the following code:

import scipy.io
mat = scipy.io.loadmat('80211ah_mcs0_chan1_g0.0dB_att10dB_freq864.0MHz_0.mat')
IQ_samples = mat["IQ_samples"][0]

IQ_samples will be a numpy array containing IQ data sampled at 2.048 msps.