We present an open-access dataset of solubility in organic solvents and water in a wide range of temperatures as the main outcome of our research. We expect it to serve a broad community as a reference dataset for the bench-marking of new experimental modeling results and also as the data resource for future machine-learning investigations in the chemoinformatics field, for example, to improve the prediction capability of future models.