Dataset for the paper "Aircraft wake vortices affecting airport wind measurements"

Dataset in support of the paper "Aircraft wake vortices affecting airport wind measurements". The dataset contains the results of the manual classification as discussed in section 2 and 3 of the paper, details can be found there. For each take-off, one row exists in the dataset. The columns are: takeoff_no: int, Incrementing integer timestamp: string, UTC time the flight passes by the anemometer flight_id: string, Unique identifier for the flight typecode: string, ICAO aircraft typecode of the flight wtc: string: ICAO wake turbulence category of the flight groundspeed_kts: float, Groundspeed [kts] at the moment of passing by the anemometer alt_above_thr_m: float, Altitude above runway threshold [m] at the moment of passing by the anemometer wind_speed_kts: float, Wind speed [kts]. Computed as a mean of the sensor values for a 2min window ending at the crossing timestamp wind_dir_deg: float, Wind direction [°]. Computed as a mean of the sensor values for a 2min window ending at the crossing timestamp is_event_visual_assessor_1: int, Classification of assessor 1 of wheather the flight caused a wake that hit the anemometer is_event_visual_assessor_2: int, Classification of assessor 2 of wheather the flight caused a wake that hit the anemometer is_event_visual_assessor_3: int, Classification of assessor 3 of wheather the flight caused a wake that hit the anemometer is_event_visual_sum: int, Sum of classifications of 3 assessors (0 to 3) is_event_wake_model: float, Classification of wheather the flight caused a wake that hit the anemometer based on P2P wake model output (only applied to flights with a sum of classifications of 2 and more) is_event: int, Final classification of wheather the flight caused a wake that hit the anemometer