A robust and accurate technique for Lagrangian tracking of bubbles and oil drops and detecting events and supporting data

This dataset contains supporting numerical simulation results used to validate an algorithm for identifying and tracking bubbles under breaking waves. A pseudo-distance error function allows for the identification of continuous, fragmenting, and coalescing bubbles over successive time frames. The parameter space explored includes the weighting of the error function (position, velocity, and volume of bubbles), the number of grid spaces making up a region of interest over which bubbles are identified, and the size of the time frame over which comparisons are made. Three different three-dimensional example fields are included, as are identified bubble, bubble trajectories, and bubble size spectrum and bubble generation size spectrum. A data description file is included with descriptions of the data and format of files in each directory.