Overview: The dataset contains measurements of Angle of Arrival (AoA) and Received Signal Strength (RSS)collected from Bluetooth 5.1 tags and a set of 4 anchor nodes deployed in an indoor environment. The data collection campaign has been conducted in a wide-open room of 110 square meters located in a wide open room. The dataset includes four application scenarios covering typical use-cases for indoor localization: calibration: 4 anchors and 1 tag mounted on a tripod and positioned in 119 different locations; static: 4 anchors and 1 tag held by a person resting in 36 different locations. The tag is locked on a lanyard around the person's neck, we collect data with the person oriented toward North, South, East and West; mobility: 4 anchors and a person holding the tag around the neck a moving along 3 different paths; proximity scenario: 4 anchors and tags held by groups of people. We reproduce proximity with dyads, triplets and of groups of 4 people approach and distancing along the time. All the scenarios include an accurate Ground Truth (GT) annotation. The dataset is organized in four folders one for each scenario: Calibration, Static, Mobility and Proximity. The dataset enables the study of how AoA varies under stationary or mobility conditions, facilitating the analysis of an anchor's AoA model. In addition, the data collected can be analyzed to create a simulator of AoA values, which is useful for rapid prototyping and evaluation of indoor localization algorithms. How to use the dataset: Please, read the README.txt file detailing the dataset's format and the data collection camping. In summary, collected data include: - Timestamp - Tag identifier - RSS on the 1st antenna's polarization - AoA azimuth - AoA elevation - RSS on the 2nd antenna's polarization - Bluetooth channel - Anchor identifier How to cite this dataset: - DOI number of this datsaset : 10.5281/zenodo.7759557 - M. Girolami, F. Furfari, P. Barsocchi and F. Mavilia, "A Bluetooth 5.1 Dataset Based on Angle of Arrival and RSS for Indoor Localization," in IEEE Access, vol. 11, pp. 81763-81776, 2023, doi: 10.1109/ACCESS.2023.3301126.