The silicon-29 Shifted-Echo Phase-Incremented Echo-Train Acquisition Nuclear Magnetic Resonance datasets which are analyzed to obtain the results in the paper "Phase Separation in Alkali Silicate Glasses detected through Inverse Laplace Transform of Si-29 π-Pulse Echo Train Decay." Details of the csdf dataset format are given in PLOS ONE, 15(1): e0225953 (2020), "Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data," D. Srivastava, T. Vosegaard, D. Massiot, and P.J. Grandinetti. The data within csdf files can be accessed with the Python package csdmpy, or other CSDM-compliant software.