The database of natural products from the state of Veracruz was assembled from a literature search. For the construction of the first version of NAT-UV DB, PubMed, Google Scholar, Sci-Finder, Redalyc, and the institutional repository of the Universidad Veracruzana (Mexico) databases were searched using the keywords "natural product", "NMR", and "Veracruz." We collected information from research articles, and bachelor, master, and doctorate thesis from universities and research centers. To complement the data mining, two additional criteria were used for the final selection of the literature used to construct the database. The first filter was that the elucidation of the reported chemical structures has been supported by nuclear magnetic resonance (NMR). The second one was that the compounds identified were obtained from a natural source from any region in the state of Veracruz (Mexico). The search was generated by publication year from 1970 to June of 2024. We want to emphasize that this is the first version of Nat-UV DB; future versions will have natural products from more years, and more research repositories, to assemble a database representative of the entire biodiversity of the state of Veracruz. For each collected molecule, their isomeric SMILES strings were generated with ChemBioDraw Ultra V.13, maintaining the stereochemistry reported in the primary literature . With the module 'Wash', from the molecular operating environment (MOE) program, version 2024 , the database was curated, maintaining without changes the stereochemistry reported of each molecule. This was done to normalize and collect the most relevant information from the molecules. The data curation involved the elimination of salts, the adjustment of the protonation states, and the elimination of the duplicated molecules. The default settings of the 'Wash' module were used. The information collected for each identified compound is organized according to the natural origin of its place of collection, like kingdom, genera, species, and geographical collection. Finally, the list of curated compounds was manually crossreferenced to PubChem and ChEMBL v.34 databases, which enabled the annotation of databases with the bioactivities that have been associated with each chemical structure (Figure ). For those compounds reported in theses, and which were evaluated in a biological test, the biological activity was also included in the database.