Dynamic X-ray CT of Synthetic magma for Digital Volume Correlation analysis

<p>Dataset of synthetic magma subjected to compression, useful for Digital Volume Correlation analysis, ref [1,2]. The data has been acquired at the Diamond Light Source synchrotron, with a bespoke thermo-mechanical rig (&ldquo;P2R&rdquo;) on the I12 beamline, ref [3,4,5]. Dataset 0 has no applied compression, while dataset 1 has applied compression.</p> <p>The data was saved with&nbsp;numpy 1.21 with <a href="https://numpy.org/doc/1.21/reference/generated/numpy.lib.format.html#format-version-1-0">NumPy format version 1.0</a>&nbsp;as dataset_0.npy and dataset_1.npy, and NumPy can be used to read it back in. Both&nbsp;data files have a header specifying how the data is stored, and following the header comes the array data.</p> <p>In particular the header length is 128 bytes, and the data consists of a 3 dimensional matrix of size (1520, 1257, 1260) stored in unsigned integer 8 bit, Fortran order. The screenshot named import_imagej.png shows how to import the data in with <a href="https://imagej.nih.gov/ij/">ImageJ</a>.</p> <p>&nbsp;</p> <p>A&nbsp;<a href="https://github.com/Kitware/MetaIO">METAImage</a>&nbsp;header&nbsp;describing the data in text form for each&nbsp;dataset is&nbsp;also provided, i.e. dataset_0.mhd and dataset_1.mhd,</p>