Integral force and local velocity values for an immersed body in oscillating motion

The database contains data concerning the application of data assimilation (DA) and machine learning (ML) techniques for the improved prediction of the flow around a cylinder with diameter D moving in a horizontal oscillatory motion (direction x) with low-Reynolds numbers. More specifically, the database is composed of the velocity profiles at two different phases of the oscillation (φ=π and φ=7π/6) at three different planes in the horizontal direction (x/D=-0.6, x/D=0 and x/D=0.6), as well as the integral forces, drag (Fx) and lift (Fy), over several oscillating periods. The database comprises the results from the original Immersed Boundary Methods at several hyper-parameter values, DA, and ML, for which a strategy based on sliding windows is applied. This information allows for the reproduction of the curves and figures from the associated publication.