This folder contains the input data and MATLAB scripts used during the Master's project. The master's project investigates the effects of yaw misalignment on power production for a passively yawed floating MR system. High temporal resolution experimental wind data is analyzed and used for various analyses. An in-house Matlab code is developed to simulate the floating MR system's yawing motions based on wind speed and direction input time series. The input data is provided in ten ASCII TXT files containing experimental wind data during the year 2014. The experimental data is sampled at the Skipheia wind measurement station located at Frøya in Trøndelag. The ten ASCII TXT files represent each month during 2014, with the exception of January and February. The ASCII TXT files were provided by the data source as presented in the folder, which explains how the files are named. A short overview of how the scripts were used: April_30days.m and June_30days.m were used for providing Weibull distributions and a histogram in the Theory chapter Ideal_conditions_9months.m was used for providing a Gaussian distribution in the Theory chapter Yaw_misalignment.m was used for a percentage power-loss overview for yaw misalignments up to 90 degrees Ideal_conditions_9months.m was used for power production analyses in ideal conditions (no yaw misalignment) Low_speed_yawmis.m was used for an aero-hydro-dynamic analysis of a low wind speed situation High_speed_yawmis.m was used for an aero-hydro-dynamic analysis of a high wind speed situation Extreme_speed_yawmis.m was used for an aero-hydro-dynamic analysis of an extreme wind speed situation Low_speed_yawmis.m, High_speed_yawmis.m, and Extreme_speed_yawmis.m were used for an angular rate of yaw correction analysis June_30days.m and March_8days.m were used for illustrating the variance in experimental wind data WindRose.m was used for distributing the wind speeds and wind directions of the experimental data (developed by other researchers)