Research from the University of Wisconsin introduces a multiscale dynamic human mobility flow dataset, created by analyzing millions of anonymous mobile phone users’ visit trajectories to various places, the daily and weekly dynamic origin-to-destination (O-D) population flows are computed, aggregated, and inferred at three geographic scales: census tract, county, and state. The timely generated O-D flow open data can support many other social sensing and transportation applications.