Artifact: The Feasibility of Dense Indoor LoRaWAN Towards Passively Sensing Human Presence

We present a large data set of 14 million entries of indoor Long Range Wide Area Network (LoRaWAN) transmission metadata to study Dense Indoor Sensor Networks (DISN) [1]. We also provide a mixed model implementation in an R-Markdown file for analyzing the transmissions based on the metadata to obtain all transmission-related results of the main paper. The data set will regularly expand as the system continues to collect data until at least 2022.