However, due to differences in predicted values (logP versus pH-dependent logD that depends on pKa predictions) and the number and identity of compounds in datasets, it was not possible to investigate where these performance differences stem from. This motivated the desire to collect a logD dataset of a common set of solutes with a variety of organic solvents-water pairs which will enable investigation of how well models can capture solvation in different organic solvents and how the chemical properties of organic solvents can impact the accuracy of logD predictions.