We autonomously direct a small quadcopter package delivery Uncrewed Aerial Vehicle (UAV) or "drone" to take off, fly a specified route, and land for a total of 209 flights while varying a set of operational parameters. The vehicle was equipped with onboard sensors, including GPS, IMU, voltage and current sensors, and an ultrasonic anemometer, to collect high-resolution data on the inertial states, wind speed, and power consumption. Operational parameters, such as commanded ground speed, payload, and cruise altitude, are varied for each flight. This large data set has a total flight time of 10 hours and 45 minutes and was collected from April to October of 2019 covering a total distance of approximately 65 kilometers. The data collected were validated by comparing flights with similar operational parameters. We believe these data will be of great interest to the research and industrial communities, who can use the data to improve UAV designs, safety, and energy efficiency, as well as advance the physical understanding of in-flight operations for package delivery drones.

翻译：我们自主地指示小型四氯四氯货包(无人驾驶飞行器或“运输工具”)起飞,飞行一条特定路线,着陆共计209次,飞行时间各异,操作参数各异。该车辆配备了机载传感器,包括全球定位系统、IMU、电压和当前传感器,以及超声速电磁仪,以收集关于惯性状态、风速和电耗的高分辨率数据。每次飞行的操作参数,如指挥地面速度、有效载荷和巡航高度,各不相同。这一大型数据集总飞行时间为10小时45分钟,从4月到10月收集总飞行时间为2019小时,总飞行距离约65公里。收集的数据通过将飞行与类似操作参数进行比较而得到验证。我们认为,这些数据对于研究和工业界来说非常重要,它们可以利用这些数据来改进无人驾驶飞行器的设计、安全和能源效率,并推进对包装无人驾驶飞机的飞行操作的实际了解。