Data from "Characterization of Seismicity from Different Glacial Bed Types: Machine Learning Classification of Laboratory Stick-Slip Acoustic Emissions"

Unstable slip of ice-on-rock and ice-on-frozen till with acoustic emissions recorded from stick-slip stress-drops. Temperature measured by RTDs in .lvm files, Normal and shear stress measured by load cells, displacements measured by LVDTs in .txt files, and acoustic waveforms measured by piezoelectric transducer in labeled hdf5 catalog. All files named by experiment number. Jupyter notebook for processing acoustic emissions data and applying machine learning classification is available at https://github.com/StraboAI/IcesAEs.