Data for paper: Machine learning exploration of binding energy distributions of H2O at astrochemically relevant dust grain surfaces

Files include DFT evaluated structures which are used for training PaiNN models for both silicate and graphene with water molecules, structures in figures of paper where comparison of adsorption energies is done . Also, adsorption energies for all the plots along with their structures are provided. All the structures are in '.traj' format.