A Multi-Day, Multi-Floor, Multi-Environment 2.4 GHz Wi-Fi CSI Dataset for Fingerprint-Based Indoor Positioning and Temporal Stability Analysis

The repository contains the data (and basic code to read it) for the paper "Time matters: Empirical insights into the limits and challenges of temporal generalization in CSI-based Wi-Fi sensing".

Two datasets are being released:

• The first one, namely "Our novel IP (Indoor positioning) dataset" (see paper Section 4.3), provides CSI-based indoor positioning data collected with an ESP32S2 micro-controller in passive sniffing mode considering 21 reference points at a residential location spanning three floors. Data collection was repeated twice, on two separate days, capturing realistic conditions including random device orientations, and uncontrolled Wi-Fi access point.
• The second one, namely "Our novel CSI signal temporal stability dataset" (see paper Section 4.4),  supports studies on CSI signal stability over time, collected continuously over a period of more than three weeks in a controlled 30 m² laboratory environment. Data includes 5,769,240 CSI samples captured under varying occupancy conditions, including workdays, weekends, and holidays, enabling comprehensive temporal analysis. Thid data is paired with historical weather temperature data as recorded by an outdoor weather station placed at ∼7km distance from the University.
  
  

If you use this data, please, cite the main paper as well:

@article{brunello2025time,
  title={Time matters: Empirical insights into the limits and challenges of temporal generalization in CSI-based Wi-Fi sensing},
  author={Brunello, Andrea and Montanari, Angelo and Montoliu, Ra{\'u}l and Moreira, Adriano and Saccomanno, Nicola and Sansano-Sansano, Emilio and Torres-Sospedra, Joaqu{\'\i}n},
  journal={Internet of Things},
  pages={101634},
  year={2025},
  publisher={Elsevier}
}