The dataset employed in this study was generated and reported in and was subsequently used in to develop machine learning models for predicting CO 2 solubility in DESs. This dataset encom- passes 1,973 data points of experimentally-measured CO 2 solubility across 124 distinct DES types. These DESs comprise pairings of 24 HBAs and 26 HBDs, all unique except for thymol, which serves dual roles as an HBA in some mixtures and as HBD in others. The HBA:HBD molar ratios in these mixtures range from 1:1 to 1:16, with the dataset covering temperature ranges from 293.15 K to 348.15 K and pressure ranges from 26.3 kPa to 7620 kPa. Minor discrepancies between the information originally reported in were identified and are discussed in detail within the accompanying Jupyter notebooks. Figure summarizes the number of mixtures contained in the dataset.