We also evaluated the coverage of the chemical spaces of the datasets by the means of Principal Component Analysis (PCA), Figure . The PCA is an unsupervised dimension reduction approach, which enabled us to assess the underlying trends in our datasets by combining several variables into a single principal component. To perform PCA, we used the curated descriptors matrix and in total two principal components.