We present a large data of indoor Long Range Wide Area Network (LoRaWAN) network metadata to study Dense Indoor Sensor Networks (DISN). We collected 14 million transmissions from 390 sensors between date February 2020 and date September 2020. The transmissions have been received by 3 gateways across 8 floors and distances up to 64 m. The prototype will run in the background throughout the project and the data set will be regularly updated.

The accompanying research is presented at IEEE International Conference on Pervasive Computing and Communications 2021 (PerCom'21). The research that produced this data set is funded by ETH Zürich under the grant ETH-15 16-2. We thank Michal Gath-Morad for the BIM used for distance computations.