Data bundle for "Advancing characterisation with statistics from correlative electron diffraction and X-ray spectroscopy, in the scanning electron microscope"

Abstract

Prepared by Tom McAuliffe (t.mcauliffe17@imperial.ac.uk)

This repository is a release of the raw data and analysis results for: 'Advancing characterisation with statistics from correlative electron diffraction and X-ray spectroscopy, in the scanning electron microscope' https://doi.org/10.1016/j.ultramic.2020.112944

The raw data is given as 'RawData.h5' - this contains patterns, spectra, and metadata in the Bruker-exported format.

Outputs of our analysis code (which will be made available via AstroEBSD) are contained in 'PCA_Outputs' subfolders. Exported plots and .mat results files are contained within. These are organised by Figure number in the paper.

The provided results are divided into two major sections: (1) Variation in the variance tolerance limit (and corresponding numbers of retained components), and the weighting of the PCA in favour of EBSD or EDS information. RCCs are validated by cross-correlation with the corresponding raw data point pattern and/or spectrum. (2) Full outputs of PCA analysis having varied the weighting parameter. This contains IPF maps, quantified chemical maps, PC scores, and label maps.

Prepared by Tom McAuliffe (t.mcauliffe17@imperial.ac.uk) This repository is a release of the raw data and analysis results for: 'Advancing characterisation with statistics from correlative electron diffraction and X-ray spectroscopy, in the scanning electron microscope' https://doi.org/10.1016/j.ultramic.2020.112944 The raw data is given as 'RawData.h5' - this contains patterns, spectra, and metadata in the Bruker-exported format. Outputs of our analysis code (which will be made available via AstroEBSD) are contained in 'PCA_Outputs' subfolders. Exported plots and .mat results files are contained within. These are organised by Figure number in the paper. The provided results are divided into two major sections: (1) Variation in the variance tolerance limit (and corresponding numbers of retained components), and the weighting of the PCA in favour of EBSD or EDS information. RCCs are validated by cross-correlation with the corresponding raw data point pattern and/or spectrum. (2) Full outputs of PCA analysis having varied the weighting parameter. This contains IPF maps, quantified chemical maps, PC scores, and label maps.