This dataset centers on smartphone-grade and other consumer LiDAR measurements repurposed for non-line-of-sight imaging, capturing indirect light returns that reveal objects hidden around corners. It contains data and associated reconstructions for hidden-object 3D shape recovery, real-time tracking, camera localization, and hand tracking using off-the-shelf LiDAR sensors. Its purpose is to demonstrate that consumer depth hardware in phones, headsets, robots, and vehicles can function as practical plug-and-play around-the-corner sensing systems without new hardware. The dataset supports applications in robotics, autonomous driving, augmented reality, indoor localization, scene reconstruction, and search-and-rescue.