Here, we do not differentiate between protic and aprotic solvents. The corresponding fitting results for all solvents are listed in Table . The related plots are shown in the supporting information. As can be seen, the consideration of all solvents increases the error value for our simple fitting approach (Eqn. ( )) with E(δ H ) = 1.575 cal 1/2 /cm 3/2 when compared to the results shown in Fig. . Hence, it becomes clear that a separation into protic and low dipolar solvents is definitely needed for high fitting accuracies. Even the consideration of more advanced expressions (SI Models 1 -11 in the supporting information) does not significantly reduce the error values from a general point of view. In comparison to the simple approach, it can be seen that the higher order and perturbation contributions slightly improve the error values but it becomes clear that an evaluation of HSPs for all solvents is not feasible. One can also assume, that the slight improvement over the simple approach can be related to the larger number of adaptable fitting parameters such that an improved matching to the data distribution can be achieved. However, the computed results for the Akaike information criterion (dAICc) show only minor differences between the different models with dAICc = 0.00 -5.26 which shows that such effects can be ignored.