Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “Polycrystals”
Strong Grain Neighbour Effects in Polycrystals- Data set
<p>3D-XRD measurements are for a commercially pure zirconium (CPZr) sample deformed in-situ to 1.2% strain.</p> <p>HR-EBSD measurements are for the same deformed sample after unload.</p> <p>Crystal Plasticity Finite Element (CPFE) simulation was done on the measured micro-structure and results of the NHS model are provided.</p> <p>HR-EBSD and CPFE results are generated using in-house codes.</p> <p>Details of the 3D-XRD codes are provided in the following link:</p> <p>https://sourceforge.net/p/fable/wiki/Home/</p> <p> </p> <p>The work and further analysis of the results are described in:</p> <p>"Strong Grain Neighbour Effects in Polycrystal" Published in Nature Communications, DOI: <strong>10.1038/s41467-017-02213-9</strong></p> <p> </p> <p>Other relevant papers:</p> <p>Abdolvand, H., Majkut, M., Oddershede, J., Wright, J., Daymond, M. R., “Study of 3-D Stress Development in Parent and Twin Pairs of a Hexagonal Close-Packed Polycrystal: Part I- In situ Three-Dimensional X-ray Diffraction Measurement”, Acta Materialia, July 2015, Vol 93, Page 246-255.</p> <p> </p> <p>Abdolvand, H., Majkut, M., Oddershede, J., Wright, J., Daymond, M. R., “Study of 3-D Stress Development in Parent and Twin Pairs of a Hexagonal Close-Packed Polycrystal: Part II- Crystal Plasticity Finite Element Modeling”, Acta Materialia, July 2015, Vol 93, Page 235-245.</p> <p> </p> <p>Abdolvand, H., Majkut, M., Oddershede, J., Schmidt, S., Lienert, U., Diak, B., Withers, P. J., Daymond, M. R., “On the Deformation Twinning of MgAZ31B: a Three-Dimensional X-ray Diffraction Experiment and Crystal Plasticity Finite Element Model”, International Journal of Plasticity, July 2015, Vol 70, Page 77-97.</p> <p> </p> <p>Gong, J., Britton, B. T., Cuddihy, M. A., Dunne, F. P. E. & Wilkinson, A. J. <a> Prismatic, <a> basal, and <c+a> slip strengths of commercially pure Zr by micro-cantilever tests. Acta Mater. 96, 249–257 (2015).</p> <p> </p> <p>Poulsen, H. F. An introduction to three-dimensional X-ray diffraction microscopy. J. Appl. Crystallogr. 45, 1084–1097 (2012)</p> <p> </p> <p>Wilkinson, A. J., Meaden, G. & Dingley, D. J. High-resolution elastic strain measurement from electron backscatter diffraction patterns: New levels of sensitivity. Ultramicroscopy 106, 307–313 (2006)</p> <p> </p>
Medium-definition electron diffraction patterns and their indexation results of a polycrystal Ni sample
<p>This dataset of 33750 medium-resolution (228×320) electron diffraction patterns are acquired from an unstrained polycrystal Ni sample. Traces of scratches are visible in the indexation results. The sample tilt angle is 70°, acceleration voltage 20kV, and the step size 0.61 µm. The indexation results, in format 'mat' of Matlab, by Hough indexation, IDIC6&3 and IDIC-G6&3 are also provided. For each diffraction pattern, 6 parameters calibrated by IDIC and IDIC-G are stocked, i.e. the Euler angle triplet (expressed in radians and with reference to the EBSD detector) and the coordinates of the projection center.</p>
Experimental Data for "Effect of Melt on Polycrystal Anelasticity"
<p>Experimental data for the manuscript titled "Effect of Melt on Polycrytal Anelasticity" by Yamauchi and Takei (submitted to JGR Solid Earth). Details are written in readme.pdf.</p>
High-definition electron diffraction patterns and their indexation results of a polycrystal Al-Mg sample
<p>This dataset of 1200 high-resolution (1200×1600) electron diffraction patterns are acquired from an unstrained polycrystal Al-Mg sample. The patterns are recorded by a Bruker eFlashHD camera mounted on Tescan MAIA3. The sample tilt angle is 70°, the step size 1.625 µm, the beam current 10 nA and the accelerate voltage 20kV. The indexation results, in format 'mat' of Matlab, by integrated digital image correlation with radial distortion (IDIC-D EBSD) are also provided. For each diffraction pattern, 7 parameters are stocked, i.e. the Euler angle triplet (expressed in radians and with reference to the EBSD detector), the coordinates of the projection center, and the radial distortion parameter.</p> <p>This dataset was discussed in a published paper (https://doi.org/10.1016/j.matchar.2021.111206).</p>
High-definition electron diffraction patterns and their indexation results of a polycrystal Al-Mg sample of various tilt angles
<p>This dataset of 2 EBSD scans, each of 1200 high-resolution (1200×1600) electron diffraction patterns, is acquired from the same area of an unstrained polycrystal Al-Mg sample. The patterns are recorded by a Bruker eFlashHD camera mounted on Tescan MAIA3. The sample tilt angle is 60° and 65°, the step size 1.625 µm, the beam current 10 nA and the accelerate voltage 20kV. The EBSD acquisition with tilt angle 70° is shared in the link https://doi.org/10.5281/zenodo.6990325. The indexation results, in format 'mat' of Matlab, by integrated digital image correlation (IDIC EBSD) and integrated digital image correlation based on gradients (IDIC-G EBSD) are also provided. For each diffraction pattern, 6 parameters are stocked, i.e. the Euler angle triplet (expressed in radians and with reference to the EBSD detector) and the coordinates of the projection center.</p>
Multi-scale plasticity homogenization of Sn–3Ag-0.5Cu: From β-Sn micropillars to polycrystals with intermetallics
<p>Data bundle for "Multi-scale plasticity homogenization of Sn–3Ag-0.5Cu: From β-Sn micropillars to polycrystals with intermetallics" <a href="https://doi.org/10.1016/j.msea.2022.143876">6</a> <a href="https://doi.org/10.1016/j.msea.2022.143876">https://doi.org/10.1016/j.msea.2022.143876</a> / <a href="https://doi.org/10.48550/arXiv.2208.11453">https://doi.org/10.48550/arXiv.2208.11453</a> </p> <table summary="Additional metadata"> <tbody> <tr> <td> </td> </tr> </tbody> </table> <p> </p> <p> </p>
Dataset - Learning Grain Boundary Segregation Energy Spectra in Polycrystals
<p>Accompanying Dataset for the article "Learning Grain Boundary Segregation Energy Spectra in Polycrystals". The dataset contains 1) an example Jupyter Notebook with all necessary code to train and use the machine learning models outlined in the paper, and 2) a database of segregation spectra of 250+ binary alloys, in the form of LAMMPS text dump files of solvent polycrystals with predicted grain boundary solute segregation energies. Please refer to the README.pdf for detailed file description.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.