This is the dataset used in the paper A. Scalingi, D. Giustiniano, R. Calvo-Palomino, N. Apostolakis, G. Bovet, "A Framework for Spectrum Classification using Crowdsensing Platforms". For each site, we collect 6 hours of the full spectrum scan, the RTL-SDR sweeps the full spectrum from 24 MHz to 1.7 GHz hopping over the frequencies with chunks of 2MHz of bandwidth. Then specific spectrum portions of the licence bands are filtered to label the dataset. The NumPy files then contain PSD data of licensed frequency bands e.g. FM Bands. The folders inside spectrum_bands.tar.gz are organized per each site and we publish the spectrum portions already labeled. Please cite our work if you use our dataset: @INPROCEEDINGS{10228867, author={Scalingi, Alessio and Giustiniano, Domenico and Calvo-Palomino, Roberto and Apostolakis, Nikolaos and Bovet, Gérôme}, booktitle={IEEE INFOCOM 2023 - IEEE Conference on Computer Communications}, title={A Framework for Wireless Technology Classification using Crowdsensing Platforms}, year={2023}, volume={}, number={}, pages={1-10}, doi={10.1109/INFOCOM53939.2023.10228867} url=}