Acoustic and meteorological long-term measurement dataset from a wind farm monitoring campaign within the PIBE project

Data collection The dataset have been collected within the framework of the PIBE project. Shared data are issued from the post-processing of acoustic and meteorological data provided by the multiple sensors deployed on the wind farm site. Data contents The contents of the archives or files are as follows: A{id_slm}_Acoustic_data_{time_sampling}.zip: acoustic data provided by the sound level meters with identifiers id_slm between 1 and 5, with time integration periods time_sampling of 10min and 1min. Each archive contains the post-processed daily sound level meter files named according to the naming system A{id_slm}_%Y%m%d_ACOUSTIC_{time_sampling}.csv, where %Y%m%d is the current date of recording (ex: 20201231). The acoustic data extend from 28th January 2020 to 31th March 2021. Each file contains the following columns: Start_Time UTC and End_Time UTC: integration period start and end UTC times with time-stamp format %d-%b-%Y %H:%M:%S UTC (ex: 31-Dec-2020 06:30:00 UTC), Leq_{frequency_band}: equivalent sound pressure level (in dB, dB(A) or dB(Z)) where the suffix frequency_band indicates the third octave frequency band from 6.3_Hz to 20000_Hz, or else the A- and Z-weighted equivalent sound levels with the endings _A and _Z respectively, L10_{frequency_band}, L50_{frequency_band} and L90_{frequency_band}: sound level exceeded for respectively 10%, 50% and 90% of the integration period for the third octave frequency band or weighted values, Train_and_airplane_alerts_1min_{time_sampling}.csv: train and airplane passings, with time integration periods time_sampling of 10min and 1min, each containing the following columns: TIME_BEG and TIME_END: monitoring period start and end UTC times with time-stamp format %Y-%m-%d %H:%M:%S (ex: 2020-07-09 03:20:00), Train and Airplane: alert indicator which takes the value 1 and 0 depending on whether trains or airplanes have been detected, or NA if no information is available, Mast_{time_sampling}.csv : meteorological data from mast sensors over the period between 1st January 2020 and 4th April 2021, with a time integration period time_sampling of 10min, gathering the following information: TIME_BEG and TIME_END: integration period start and end UTC times with time-stamp format %Y-%m-%d %H:%M:%S (ex: 2020-01-02 15:40:00), TEMP_{HEIGHT}: air temperature (in °C) at heights (HEIGHT) of 6M, 20M, 60M and 78M, RH_{HEIGHT}: relative humidity (in %) at heights (HEIGHT) of 6M, 20M, 60M and 78M, WIND_DIR_{HEIGHT}: wind direction (in °) at heights (HEIGHT) of 70M and 80M, WIND_SPEED_{HEIGHT}: wind speed (in m/s) at heights (HEIGHT) of 35M, 75M and 80M, RAIN: rainfall (in mm) PRES: atmospheric pressure (in mbar), S{id_sonic}_{time_sampling}.csv: meteorological data issued from 3D ultrasonic anemometers with identifiers id_sonic between 1 and 3, with time integration periods time_sampling of 10min and 1min, with the columns: TIME_BEG and TIME_END: integration period start and end UTC times with time-stamp format %Y-%m-%d %H:%M:%S (ex: 2020-01-02 15:40:00), MOY_U, STD_U, MOY_V, STD_V, MOY_W and STD_W: means and standard deviations of wind speed in the three Cartesian directions (in m/s), MOY_T and STD_T: means and standard deviations of temperature (in °C), WIND_DIR and STD_WIND_DIR: means and standard deviations of wind direction (in °) WIND_SPEED: horizontal wind speed (in m/s) UW, VW and WT: wind speed covariances TKE and T_STAR: turbulent kinetic energy (in m²/s²) and virtual temperature (in °C) U_STAR: shear velocity (in m/s), H: energy flux received by the ground (in W/m²), ZsurLMO: ratio of measurement height to Monin Obukhov length, Z0: roughness height (in m), GRAD_T, GRAD_W, GRAD_C: vertical temperature, wind and sound speed gradients, EPSILON_U: turbulent dissipation rate (in m2/s3), COMPLETENESS: data completeness during the integration period (in %), lidar_{time_sampling}.csv: meteorological data provided by the lidar, with time integration periods time_sampling of 10min and 1min, composed of the following columns: TIME_BEG and TIME_END: integration period start and end UTC times with time-stamp format %Y-%m-%d %H:%M:%S (ex: 2020-01-02 15:40:00), TEMP: temperature (in °C), HUM: relative humidity (in %) PATM: atmospheric pressure (in mbar) RAIN: rainfall (in mm) FOG: fog indicator (in %, proportion of the period during which the Lidar measurement is invalid due to fog) WIND_DIR_{HEIGHT}: wind direction at heights (HEIGHT) of 10m, 20m, 39m, 40m, 55m, 70m, 85m, 100m, 115m, 130m, 145m, 165m and 184m, WIND_VERT_SPEED_{HEIGHT}: horizontal wind speed (in m/s) at same heights (HEIGHT) as wind direction, WIND_HORIZ_SPEED_{HEIGHT}: vertical wind speed (in m/s) at same heights (HEIGHT)as wind direction, SCADA_10min.csv: wind turbine operating and meteorological data of each device designated by the identifier id_wt(ND01-ND04 or V01-V04), with a time integration period time_sampling of 10min with columns: TIME_BEG and TIME_END: integration period start and end UTC times with time-stamp format %Y-%m-%d %H:%M:%S (ex: 2020-01-02 15:40:00), {id_wt}_WIND_SPEED: wind speed at the wind turbine id_wt (in m/s), {id_wt}_WIND_DIR: wind direction at the wind turbine id_wt (in °), {id_wt}_RPM: rotor speed of the wind turbine id_wt (in tr/min).