small EBSD map from annealed ferritic steel

There are two files in this dataset: 

1 - "DX54_biaxial_ref_small.h5" containing a small Electron Backscatter Diffraction map

2 - "Fe_2866_2866_ver3.tif" containing a simulated EBSD from alpha-Fe on a stereographic projection

1 - "DX54_biaxial_ref_small.h5"

A small Electron Backscatter Diffraction dataset obtained from an annealed ferritic steel and used for algorithm development and testing.  The data were collected on a Zeiss Merlin SEM at 20keV using a Bruker eFlash HR (1st generation) .  The crystal orientations were determined through the Bruker eSprit software. The EBSD map consists of 64 by 48 points at  a step size of ~0.5 microns, and with  EBSD patterns recorded at 800 by 576 pixels (ie 2x2 binning).  Axis systems and Euler angle conventions used are detailed in 'Crystal orientations and EBSD — Or which way is up?'

The dataset is given in an HDF5 file format.  You can learn more about this format from the HDF Group and download some tools including HDFView which will allow you to explore the file structure.  You could also take a look at the discussion given by Jackson et al (2014) of archival data formats for EBSD.

This map was used by the Oxford Micromechnics Group in development of tools for Multivariate Statistical Analysis of EBSD and TKD Datasets.  You can read details of this method in the open access preprint on arXiv. 

2 - "Fe_2866_2866_ver3.tif"

This image file shows dynamical diffraction theory simulation results for alpha Fe undertaken using Bruker Dynamics software tool.  The Kikuchi band intensities are presented on a stereographic projection.

This was used as the 'Master Pattern' from which a simulated EBSD pattern library was constructed and used in a template matching approach to index characteristic patterns generated from a multivariate statistical analysis of EBSD data described above.

These outputs were generated as part of a project on Micro-mechanical modelling techniques for forming texture, non-proportionality and failure in auto materials funded by the Engineering and Physical Sciences Research Council in the UK (grant number EP/I021043/1)