Characterizing odorants entails taking into account a number of qualitative descriptors, such as hedonic qualities like "fruity" and "fishy," which express how pleasant or disagreeable a smell is. We used a combined dataset comprised of the Leffingwell dataset and the training data supplied by Firmenich during the "Learning to Smell Challenge". We call this as Integrated dataset(IGD), which consists of 109 different odor classes and 7,374 molecules with substantial structural variation. A Subset of the Integrated Dataset (Subset-IGD) comprising 2,606 odorant molecules was also produced by us. We obtained Daylight Fingerprints, Vibrational Spectra (VS), and Mass Spectra (MS) for this subset.