This dataset contains multi-sensor data collected from a motorcycle to support research in lean angle estimation, sensor fusion, and rider dynamics. The data includes measurements from front and rear IMUs, GPS, ultrasonic sensors, lidar, and wheel speed sensors in different riding conditions. It is suitable for evaluating filtering techniques, vehicle state estimation, and control strategies in real-world scenarios.