[Dataset] The Multi-Advective Water Mixing Approach for transport through heterogeneous media

Description: Data obtained by computing numerical simulations. RW results were performed by a self-made Python code. MAWMA results were performed by a self-made application of framework platform KRATOS (Dadvand et al. 2010) - Data in "LNs1_graph": Comparison of acccuracy performances between RW, MAWMA methods with 3 different Diffusion coefficients (0, 0.01 and 0.2). We compare 5 different statistical parameters: 1st moment, deviation , variance (Fig 4b), Global mixing (Fig 4c) and mean (Fig 4a) - Data in "MARKOV_MODELS": Comparing the Markov models using M_p matrices calculated at 3 different times of the RW model. Also the Markov models transforming M_p into M_c and M_w.