To simplify the presentation, we will only discuss the results when using the "single nodes" approach, as well as the "MOF" structure option which widens metallic bond radii. Crystal-Nets.jl recognises 61% of all 21,692 resulting structures of CoRE MOF 2019 as one of the nets in either the RCSR, the IZA-SC or the EPINET databases (only 33% structures are recognised with "PEM" and between 45% and 55% with the other clustering options). Among the unrecognised structures, less than 2% correspond to unstable nets which CrystalNets.jl does not handle. These proportions are similar for each of the four subcategories of the database, divided whether only free solvent was removed (FSR) or all solvent molecules (ASR), and within each, whether the structure is disordered or not. The closeness of these numbers is expected since most structures from FSR also belong to ASR with only molecules of solvent as difference, which should not affect the topology. This highlights the robustness of the algorithm.