Clustering Diffraction Vectors from Overlapping Structures in 4D STEM Data Sets

The following contains two folders containing the raw and processed data for the Paper ``Clustering Diffraction Vectors from Overlapping Structures in 4-D STEM Data Sets`` There are 4 datasets included. The first three datasets are from a PdCuSi thin film sputtered metallic glasses: 1. 4nmSample2pt5mradCompressed.zspy 2. 9nmSample2pt5mradCompressed.zspy 3. 13nmSample2pt5mradCompressed.zspy The last dataset is an Al nano crystal standard sample. All of the datasets are saved in the ``.zspy`` file format (defined in the ``rosettasciio`` package) using the ``Zarr.ZipStore`` formalism. If you want to load the data first install hyperspy ``` $pip install hyperspy # or $conda install hyperspy ``` Then you can load the data using: ```python import hyperspy.api as hs import zarr store = zarr.ZipStore("file_you_want_to_read.zspy") s = hs.load(store, lazy=True) # lazy so you don't load the entire data into memory