Multichannel 3D reconstruction and deghosting techniques based on multicomponent streamer measurements of the pressure wavefield and its associated gradients were recently introduced in literature. In particular, the Generalized Matching Pursuit (GMP) technique was applied to multicomponent 3D synthetic data bringing significant improvements to address the aliasing arising from sparse crossline sampling. In this abstract, we present an example of real data acquired by an experimental 3D towed multicomponent cable array and show the performance of GMP applied to the multicomponent measurements. The real data examples illustrate that GMP reconstructs and deghosts the pressure wavefield onto a 2D receiver grid uniformly sampled at 6.25 m in both, the inline and the crossline directions, starting from a very limited number of crossline samples at realistic spacings (i.e., 75 m). We analyze the contribution of each component to the overall crossline reconstruction. We show that the crossline component of particle velocity is the key enabler for GMP to produce a very effective and robust reconstruction of the three-dimensional wavefield back-scattered by the subsurface for each recorded seismic shot.