Data for "Microstructural characterization to reveal evidence of shock deformation in a Campo del Cielo meteorite fragment" by G. J. Francolini and T. B. Britton published in Materials Characterization (2025) & preprinted on the ArXiv (https://arxiv.org/abs/2408.16901)
Authors/Creators
Description
Data for "Microstructural characterization to reveal evidence of shock deformation in a Campo del Cielo meteorite fragment"
Article published in Materials Characterization (2025) https://doi.org/10.1016/j.matchar.2025.114838 & preprinted on the ArXiv https://arxiv.org/abs/2408.16901 .
Graeme J. Francolini, T. Ben Britton
Department of Materials Engineering, University of British Columbia, Frank Forward Building, 309-6350 Stores Road, Vancouver, BC Canada V6T 1Z4
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Spectrum 20.txt contains the EDS data for the Schreibersite given in Figure 1. e)
Spectrum 22.txt contains the EDS data for the Fe-Ni matrix given in Figure 1. e)
Project 1 Specimen 1 Site 6 Map Data 3.h5oina contains the EDS data related to Figure 1.
Project 3 Specimen 1 Site 1 Map Data 3.h5oina contains the EBSD data related to Figure 1.
Small_Twin_HR Specimen 1 Site 2 Map Data 2.h5oina contains the EBSD data given in Figure 2.
Small_Twin_HR Specimen 1 Site 2 Map Data 2-PatternMatching.h5oina contains the pattern matched EBSD data used for the WBV subfigures in Figure 2.
Project 1 Specimen 1 Site 12 Map Data 3.h5oina contains the data for the band contrast in Figure 3 and the SEM image in Figure 5. This file also contains the EBSD data for the GND in Figure 3.
Meteorite2_Ripples Long Dwell Times Site 1 Map Data 6.h5oina contains the Forescatter image given in Figure 4 a).
Meteorite2_Ripples Long Dwell Times Site 3 FSD Data 8.h5oina and Meteorite2_Ripples Long Dwell Times Site 3.h5oina contain the Forescatter image for Figure 4 b).
All h5oina files were exported from Oxford Instrument's Aztec software (and follow the convention as described here: https://github.com/oinanoanalysis/h5oina).
Files
Spectrum 20.txt
Files
(10.9 GB)
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md5:715e6605f82b1f3209625a48041b1cf8
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md5:953478ed81f4bf3840b6a83b12fa287a
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42.0 MB | Download |
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md5:e5f5a00e0e2c27d7cc20d6b7c4fcceda
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8.4 MB | Download |
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md5:30581cd8a987807a8b5e11ca25f42376
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79.7 MB | Download |
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md5:ea6af4af2b399e2f1bc874b97a94ac01
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41.0 MB | Download |
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md5:0beb08d09e290d522e88491dcdc25820
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555.8 MB | Download |
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md5:febe8b2be9e0ff2a20b0e17149f648bd
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171.3 MB | Download |
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md5:265f9085fca74466f09476494f087cce
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77.3 MB | Download |
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md5:69f095b62dfd75e2928193e44f34b888
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33.1 kB | Preview Download |
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md5:934e3b50a14a379f094638632b832699
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33.0 kB | Preview Download |
Additional details
Related works
- Is published in
- Preprint: arXiv:2408.16901 (arXiv)
Funding
- Natural Sciences and Engineering Research Council
- Discovery Grant RGPIN-2022–04762
- Government of British Columbia
- B.C. Knowledge Development Fund
- Canada Foundation for Innovation
- Canada Foundation for Innovation-Innovation Fund 39798