Alongside retrieving synthesis information from the MOF literature, we used the crystallographic information files (CIFs) from MOF databases to automatically extract the structural information of the linker and the oxidation state of the metal center. Ultimately, we combined the extracted synthesis details (i.e. metal source, linkers, temperature, synthesis time, solvents and additives) from the publications and information of the linker and the metal source from the CIF into the SynMOF database (Fig. ). Our central assumption in this work is that the established SynMOF database can be used for the training of ML models to facilitate the discovery of similarity patterns in the synthesis conditions to reach the final goal of predicting synthesis protocols for new MOF structures. Apart from the detailed information on MOF synthesis conditions, our SynMOF database, currently consisting of 983 MOF structures, provides the statistical data on the metal source and organic components (Figs. and). It contains 46 different metals with most common oxidation states ranging from +1 to +3. As expected, most MOF structures are composed of transition metals with copper and zinc comprising almost 50% of all metal types. Among the diverse organic molecules, the most commonly employed linkers for MOF synthesis are multidentate carboxylic acids (i.e. benzene-1,3,5-tricarboxylic acid, benzene-1,4-dicarboxylic acid, and benzene-1,2,4,5-tetracarboxylic acid) followed by N-containing bases (i.e. pyridine, triazole, and tetrazole).