{"references": ["Bay, B.K., Smith, T.S., Fyhrie, D.P., Saad, M., 1999. Digital volume correlation: Three-dimensional strain mapping using x-ray tomography. Experimental Mechanics 39, 217\u2013226.", "Bay, B.K., 2008. Methods and applications of digital volume correlation. Journal of Strain Analysis for Engineering Design 43, 745\u2013760. https://doi.org/10.1243/03093247JSA436", "Puncreobutr, C., Lee, P.D., Hamilton, R.W., and Phillion, A.B., \"Quantitative 3D characterization of solidification structure and defect evolution in Al alloys\", JOM: Volume 64, Issue 1 (2012), 89-95. /10.1007/s11837-011-0219-7 (EP/F001452/1, P2R)", "Kareh, K.M., Lee, P.D., Atwood, RC, Connolley, T., and Gourlay, C.M., \"Revealing the micromechanisms behind semi-solid metal deformation with time-resolved X-ray tomography\", Nature Commun., 5:5464, /10.1038/ncomms5464, July 2014.", "Cai, B., Lee, PD, Karagadde, S., Marrow, T.J., Connolley, T., \"Time-resolved synchrotron tomographic quantification of deformation during indentation of an equiaxed semi-solid granular alloy\", Acta Mat. 105 (2016) 338-46, 10.1016/j.actamat.2015.11.028"]}

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 (“P2R”) on the I12 beamline, ref [3,4,5]. Dataset 0 has no applied compression, while dataset 1 has applied compression. The data was saved with numpy 1.21 with NumPy format version 1.0 as dataset_0.npy and dataset_1.npy, and NumPy can be used to read it back in. Both data files have a header specifying how the data is stored, and following the header comes the array data. 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 ImageJ. A METAImage header describing the data in text form for each dataset is also provided, i.e. dataset_0.mhd and dataset_1.mhd,