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55 results for “ebsd”
EBSD Data JPA
<p>EBSD data on the RPV base metal steel JPA for the ENTENTE Database</p>
GaN_Dislocations_1 EBSD Example data
<p>EBSD Example data from a GaN sample, measured by Naresh Gunasekar. Data conversion by Aimo Winkelmann.</p>
Example MTEX EBSD data from Iron
<p>Example Data and Scripts for MTEX 5.03 +.</p> <p>Geometrically necessary dislocation content as evaluated with XEBSD & EBSD data from deformed iron. For information about the originating data, see https://arxiv.org/abs/1710.00728.</p> <p>To run the data - please extract and run "Britton_IF4.m". For examples of the output, see the 'html' folder.</p>
University of Manchester 3D EBSD workshop example dataset
<p>Dataset for use with the University of Manchester 3D EBSD workshop delivered by Dr Alistair Garner - see Youtube videos:</p> <p>https://youtu.be/GjZxqb0gwis?feature=shared</p> <p>https://youtu.be/VntOpz-RR64?feature=shared</p> <p>https://youtu.be/8-A0_pWkPkA?feature=shared</p> <p>https://youtu.be/_lcotj6fOXE?feature=shared</p>
Simulated EBSD dataset
<div> <div> <div> <p>A total of 60,000 images, categorized into train, val, and test, with 36000 images in the train set and 12000 images in both the test and validation sets for 6 space groups—221, 223, 225, 227, 229, and 230</p> </div> </div> </div>
MTEX example EBSD map of WC-Co for TrueEBSD and WC Contiguity calculation
<p>MTEX TrueEBSD example EBSD map and SEM images of a WC-Co hardmetal.</p> <p>EBSD data acquired at Seco Tools AB, Fagersta, Sweden.</p> <p>This work was partially funded by the National Physical Laboratory’s Director’s Science and Engineering Fund.</p>
EBSD Kikuchi Patterns from Identification, classification and characterisation of hydrides in Zr alloys
<p>Data from paper <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.scriptamat.2023.115768" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.scriptamat.2023.115768</span></span></a></p>
Model parameters for EBSD indexing model
<p>These files are parameters of a machine learning model mentioned in the paper: Indexation and calibration of EBSD by convolutional neural networks</p> <p>To use these parameters, please refer to: https://github.com/Pandenotium/EBSD_indexing</p> <p>These files are in an old version. A new version of parameters will be published soon.</p>
EBSD Overlay on eGaIn-Zinc Embrittlement
<p>Electron backscatter diffraction (EBSD) inverse pole figure (IPF) map of the microstructure of a coarse grained zinc specimen rolled to 25% roll reduction, overlaid over the same region being attacked by liquid eutectic gallium indium (eGaIn). The eGaIn (bright phase) can be seen highlighting the grain boundaries, especially in areas with a finer initial grain size. There is a period of 5 minutes between each frame. IPF colored with respect to out-of-plane direction. </p>
Data for 'Nano-scale corrosion mechanism of T91 steel in static lead-bismuth eutectic: A combined APT, EBSD, and STEM investigation'
<p>The original data for the manuscript 'Nano-scale corrosion mechanism of T91 steel in static lead-bismuth eutectic: A combined APT, EBSD, and STEM investigation'.</p>
Dynamical simulation of EBSD master pattern of ferrite
<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of ferrite (<em>Fd<span class="math-tex">\(\bar{3}\)</span>m</em>, <em>a</em> = 2.8665 Å). The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV.</p> <p>The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands:</p> <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/ferrite_mc_mp_20kv.h5") s.plot()</code></pre> <p>The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: ferrite.xtal), EMMCOpenCL (input: ferrite.xtal, mcopencl.nml; output: ferrite_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, ferrite_mc_mp_20kv.h5; output: added to existing ferrite_mc_mp_20kv.h5).</p>
Dynamical simulation of EBSD master pattern of a sigma-phase in steel
<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of a sigma-phase (FeCr) in steel (<em>P4<sub>2</sub>/mmm</em>, <em>a</em> = 8.7961 Å, <em>c</em> = 4.5605 Å) (see Yakel [1983], doi:<a href="https://doi.org/10.1107/S0108768183001974">10.1107/S0108768183001974)</a>. The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV.</p> <p>The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands:</p> <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/steel_sigma_mc_mp_20kv.h5") s.plot()</code></pre> <p>The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: steel_sigma.xtal), EMMCOpenCL (input: steel_sigma.xtal, mcopencl.nml; output: steel_sigma_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, steel_sigma_mc_mp_20kv.h5; output: added to existing steel_sigma_mc_mp_20kv.h5).</p>
Dynamical simulation of EBSD master pattern of austenite
<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of austenite (<em>Fm<span class="math-tex">\(\bar{3}\)</span>m</em>, <em>a</em> = 3.595 Å). The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 10 to 20 kV with an increment of 1 kV.</p> <p>The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands:</p> <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/austenite_mc_mp_20kv.h5") s.plot()</code></pre> <p>The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: austenite.xtal), EMMCOpenCL (input: austenite.xtal, mcopencl.nml; output: austenite_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, austenite_mc_mp_20kv.h5; output: added to existing austenite_mc_mp_20kv.h5).</p>
Data from: Electron backscatter diffraction (EBSD) analysis of maniraptoran eggshells with important implications for microstructural and taphonomic interpretations
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Sb2S3_line1_EBSD_fastscan
<p>Electron backscattered patterns for each point of an laser-fabricated Sb2S3 crystal in glass. Collected with TSLOIMElectron backscattered patterns for each point of a laser-fabricated Sb2S3 crystal in glass. Collected with TSL OIM Data Collection software on a Hitachi 4300 SE. Microscope was operated in variable pressure mode with 30 Pa using an accelerating voltage of 30 kV and a working distance of about 17 mm. Crystal was tilted 70° relative to the beam. X-, Y-coordinates are in 10 nm units.</p>
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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