Dataset Type Trajectory
AERPAW Air-to-ground channel sounding and multipath measurement with a UAV
Anil Gurses, North Carolina State University
FlyPaw: Optimized route planning for scientific UAV missions
Eric Lyons, University of Massachusetts Amherst
Rural air-to-ground channel measurements at 3.3 GHz at varying altitudes, signal bandwidths, locations
Ozgur Ozdemir, North Carolina State University
Propagation Data from AERPAW Find-a-Rover (AFAR) Challenge in December 2023
Ozgur Ozdemir, North Carolina State University
Experimental Study of Outdoor UAV Localization and Tracking Using Passive RF Sensing
Udita Bhattacherjee, NC State University
April 2022: LTE I/Q Measurements at Multiple UAV Heights
Ozgur Ozdemir, North Carolina State University
FlyNet Experiments for the AERPAW Testbed
Eric Lyons and Michael Zink, University of Massachusetts - Amherst