Brown \& Roshko identify the key role, as soon as 1974, of coherent structures in the mixing of a turbulenet jet. Since, the seek for coherent structures has been a major field in fluid mechanics. This manuscript follows this path, and aims at describing algorithm to compute and explore coherent structures from fluid mechanics dataset.The first part of this manuscript is dedicated to present algorithms for the computations of coherent structures from dataset. The first chapter exposes the Dynamical Modes Decomposition, and presents improvements of the method. A criterion to estimate the observability properties of components of the state vector is also presented.The second chapter aims at describing an efficient algorithm to compute Lagrangian Coherent Structures, which are somewhat equivalent to material frontiers in fluid flows, and highlight mixing dynamics.This methods are applied, in a third chapter, to caracterize the dynamics of an open cavity flow.The second parti of this manuscript is dedicated to the representation and discrimination of scientific dataset.The fourth chapter presents metaphors for the interactive exploration of scientific and volumetric dataset. The use of tangible interfaces is investigated. The last chapter deals with the differenciation between represented data, by proposing an algorithm for the differenciation between close but different signals.
