Replication data for: PosGNN: a graph neural network-based multimodal data fusion for indoor positioning in industrial non-line-of-sight scenarios

This dataset was created within the framework of the 5GSmartFact project (https://www.5gsmartfact.upc.edu/). It contains Ultra-Wideband (UWB) and Inertial Measurement Unit (IMU) datasets collected during a measurement campaign at ARENA2036, Germany. The dataset comprises two folders, namely, Training_dataset and Testing_dataset, for evaluating the Graph Neural Network-based sensor fusion framework.