Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy -- The Berlin Mathematics Research Center MATH+ (EXC-2046/1, project ID: 390685689) and by the CRC 1114 ``Scaling Cascades in Complex Systems'' funded by the Deutsche Forschungsgemeinschaft (project ID: 235221301, project B06). Felix Henneke (FU Berlin) is acknowledged for insightful discussions and Jerome Riedel for valuable help with the implementation of the WaveTrain Python codes. Moreover, the authors would like to thank the HPC Service of ZEDAT, FU Berlin, for generous allocation of computing resources.

This resource provides all the Python and Bash scripts needed to generate the data for quantum dynamics of excitons and phonons on a chain as shown in figures 3-7 of the manuscript published as arXiv:2302.03568 by P. Gelß, S. Matera, R. Klein, and B. Schmidt Note that the Python scripts build on our open-source WaveTrain software package for quantum dynamics which in turn builds on the scikit_TT software package for tensor trains. Both of them are freely available via the GitHub platform.