Data from: Multiple scaling behavior and nonlinear traits in music scores

We present a statistical analysis of music scores from different composers
using detrended fluctuation analysis. We find different fluctuation
profiles that correspond to distinct auto-correlation structures of the
musical pieces. Further, we reveal evidence for the presence of nonlinear
auto-correlations by estimating the detrended fluctuation analysis of the
magnitude series, a result validated by a corresponding study of
appropriate surrogate data. The amount and the character of nonlinear
correlations vary from one composer to another. Finally, we performed a
simple experiment in order to evaluate the pleasantness of the musical
surrogate pieces in comparison with the original music and find that
nonlinear correlations could play an important role in the aesthetic
perception of a musical piece.