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EBSDinterp Demonstration Data 1 - Fractured Albite
EBSDinterp is a GUI-based Matlab program to perform microstructurally constrained interpolation of electron backscatter diffraction (EBSD) datasets. The dataset in this collection comprises ASCII Channel Text Files (.ctf) of the raw and processed datasets used in the publication describing EBSDinterp. The dataset contains EBSD data of a large frac... moretured albite aggregate filled with gold and pyrrhotite. This sample was collected from the Hamlet mine of the St Ives camp in Western Australia. Also included is the logfile written out by EBSDinterp on completion of the data interpolation that describes the parameters used in the interpolation of the dataset. less
Mineralogy and Crystallography
Ore Deposit Petrology
Data were collected using a Bruker eFlash detector and Bruker Esprit software on a Zeiss ULTRA PLUS field emission gun SEM. Acquisition conditions were a working distance of 23 mm, accelerating voltage of 20 keV, and beam current of 12.1 nA, with the stage tilted at 70° to the horizontal and a thin carbon coat of ~5 nm
The data were exported from Esprit to a .ctf format, which can be read by EBSDinterp (Large_Albite.ctf).
Interpolation was performed using EBSDinterp using the parameters described in the logfile (also included), and exported back to a .ctf format file following interpolation (Large_Albite_processed.ctf).
CSIRO Data Licence
Pearce, Mark (2015): EBSDinterp Demonstration Data 1 - Fractured Albite. v1. CSIRO. Data Collection.
All Rights (including copyright) CSIRO Australia 2015.
The metadata and files (if any) are available to the public.
Examining the relationship between damage and chemical reaction fronts around gold deposits. The project combines microstructural and microchemical analysis techniques to examine in detail the relationship between deformation and alteration and how these relate to gold mineralisation
EBSD data processing and analysis
Electron backscatter diffraction data give crystallographic orientation and phase information in crystalline samples. Raw data can be processed using a variety of methods to analyse patterns and trends in the data.
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