The dataset is part of a project exploring the onset of phase transitions, the development of microstrain and the lattice parameters during fast compression rates, resembling those during e.g. propagation seismic shockwaves and large body impacts. The strain rate conditions achieved in our experiments are between those reached in the common static (DAC) and shock experiments. The current dataset contains a selected set of xy.files of azimuthal integrated 2D-diffraction images of an Mg0.2Fe0.8O sample. Diffraction images were collected at ambient temperature (in 2019) at the ECB P02.2 Beamline, PETRA III, DESY, Germany using the piezo-driven dynamic diamond anvil cells (dDAC) in combination with fast LAMBDA GaAs 2M detectors at 25.6 keV (0.4843 Å). The dataset is provided as a test dataset for machine learning application on spectra classification. The version will be updated once the whole work has been published and the full datasets can be made available. Please find below the link towards the machine learning application. https://github.com/European-XFEL-examples/panosc-ml-spectra-classification