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Left: Schematic of computational reconstruction with meshed sample plane, detector and projection geometry. Center: A sub-region of a reconstructed microstructure. Colors are coded to the local crystallographic orientations (J. Lind thesis, 2013). Right: Three dimensional reconstructed copper microstructure (R. Pokharel thesis 2013).
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Public Data Sets

HEDM data sets are unique and expensive in that they require (1) the use of national facilities that are in high demand (for our work, typically the Sector 1 insertion device beamline (1-ID) at the Advanced Photon Source, Argonne National Laboratory), (2) many hours of dedicated work by a team of scientists during data collection, (3) many hours of both people-time and CPU time go into obtaining valid, detailed reconstructed structures, and (4) many hours of thought, code development and analysis time go into extracting relevant features and interpreting the content of the data sets. First publications based on these data sets typically cannot possibly probe all aspects that could be of interest.

For all these reasons (and consistent with the push for federally supported research data to become open and available to the public – see for example, an NSF policy statement), we plan the release of data so that the materials community can make diverse use the contents. Clearly, with the heavy investments by the students, post-docs, and faculty involved in experiment design, data collection, and analysis, the involved group reserves rights to early publications. Furthermore, it is only after the work involved in honing analysis and studying myriad details, that one becomes knowledgeable as to which aspects are to be trusted quantitatively, which only qualitatively, and which aspects may possibly be misleading. We will attempt to place such perspectives with the data sets as they are released as well as in publications.

• Hanson, John P.; Bagri, Akbar; Lind, Jonathan; Kenesei, Peter; Suter, Robert M.; Gradeak, Silvija; Demkowicz, Michael J., “Crystallographic character of grain boundaries resistant to hydrogen-assisted fracture in Ni-base alloy 725,” 2018. This data set is the basis of the published articles:
  1. J. P. Hanson, A. Bagri, J. Lind, P. Kenesei, R. M. Suter, S. Grade ak, M. J. Demkowicz, “Crystallographic character of grain boundaries resistant to hydrogen-assisted fracture in Ni-basealloy 725,” Nature Communications, 9, 3386 (2018). article
  2. A. Bagri, J. P. Hanson, J. Lind, P. Kenesei, R. M. Suter, S. Grade ak, M. J. Demkowicz, “Measuring grain boundary character distributions in Ni-base alloy 725 using high-energy diffraction microscopy,” Metallurgical and Materials Transactions A, 48, 354-361 (2017). article
• Combined Near and Far Field High Energy Diffraction Microscopy Dataset for Ti-7Al Tensile Specimen Elastically Loaded In Situ. This data set is described in the data release paper, T. J. Turner, P. A. Shade, J. V. Bernier, S. F. Li, J. C. Schuren, J. Lind, U. Lienert, P. Kenesei, R. M. Suter, B. Blank, J. Almer, “Combined Near and Far Field High Energy Diffraction Microscopy Dataset for Ti-7Al Tensile Specimen Elastically Loaded In Situ,” submitted to Integrating Materials and Manufacturing Innovation, 2016 and a first-pass analysis is contained here.
• nf-HEDM derived Ti-Al6-V4 lamellar geometry microstructure. This data set is an outcome of a collaborative, multi-institutional project led by Paul Dawson of Cornell University. Other participating institutions include CMU, U. C. Santa Barbara, and Ohio State University. The data set is currently hosted at University of Glasgow where former post-doc in the project, Euan Wielewski, is now a faculty member. Additional notes on the sample and the nature of the data are included at this link. A paper based on these data is available here.

Updated August 25, 2020