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11 results for “Master pattern”

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zenodo40/100

Dynamical simulation of EBSD master pattern of nickel

<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of nickel (<em>Fm<span class="math-tex">\(\bar{3}\)</span>m</em>, <em>a</em> = 3.5236 &Aring;). The master pattern was simulated with EMsoft v4.3. 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 3.7 or higher 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/ni_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: ni.xtal), EMMCOpenCL (input: ni.xtal, mcopencl.nml; output: ni_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, ni_mc_mp_20kv.h5; output: added to existing ni_mc_mp_20kv.h5).</p>

opencc-by-4.0Jan 2023View details →
zenodo40/100

Dynamical simulation of EBSD master pattern of silicon

<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of silicon (<em>Fd<span class="math-tex">\(\bar{3}\)</span>m</em>, <em>a</em> = 5.4307 &Aring;). 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 3.7 or higher 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/si_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: si.xtal), EMMCOpenCL (input: si.xtal, mcopencl.nml; output: si_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, si_mc_mp_20kv.h5; output: added to existing si_mc_mp_20kv.h5).</p>

opencc-by-4.0Jan 2023View details →
zenodo40/100

Dynamical simulation of EBSD master pattern of chi-phase in steel

<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of a chi-phase (Fe<sub>36</sub>Cr<sub>15</sub>Mo<sub>7</sub>) in steel (<em>I<span class="math-tex">\(\bar{4}\)</span>3m</em>, <em>a</em> = 8.854 &Aring;) (see Kasper [1954], doi:<a href="https://doi.org/10.1016/0001-6160(54)90066-8">10.1016/0001-6160(54)90066-8)</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 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/steel_chi_mc_mp_20kv.h5") s.plot()</code></pre> <p>The PNG files show the stereographic projection of the upper and lower hemispheres of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: steel_chi.xtal), EMMCOpenCL (input: steel_chi.xtal, mcopencl.nml; output: steel_chi_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, steel_chi_mc_mp_20kv.h5; output: added to existing steel_chi_mc_mp_20kv.h5).</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

Dynamical simulation of EBSD master pattern of aluminium

<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of aliminium (<em>Fm<span class="math-tex">\(\bar{3}\)</span>m</em>, <em>a</em> = 4.04 &Aring;). The master pattern was simulated with EMsoft v4.1. 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/am_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 al.xtal file was produced with the EMsoft program EMmkxtal, contains a complete description of the crystal structure, and is used as input to the EMsoft programs EMMCOpenCL and EMEBSDmaster. The latter two programs produced the al_mc_mp_20kv.h5 file.</p>

opencc-by-4.0Feb 2023View details →
zenodo28/100

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 &Aring;). 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>

opencc-by-4.0Feb 2023View details →
zenodo28/100

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 &Aring;, <em>c</em> = 4.5605 &Aring;) (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>

opencc-by-4.0Feb 2023View details →
zenodo28/100

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 &Aring;). 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>

opencc-by-4.0Feb 2023View details →
ClinicalTrials.gov28/100

Master Protocol to Study Treatment Patterns, Medication Adherence, Health and Economic Outcomes and Unmet Needs in RCC

ClinicalTrials.gov study NCT04375150. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
geo24/100

A single master regulator controls asexual cell cycle division patterns in Toxoplasma gondii [ChIP-Seq]

GEO Series GSE150405. Toxoplasma gondii. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenOct 2020View details →
geo24/100

A single master regulator controls asexual cell cycle division patterns in Toxoplasma gondii [RNA-Seq]

GEO Series GSE150334. Toxoplasma gondii. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2020View details →
geo20/100

A single master regulator controls asexual cell cycle division patterns in Toxoplasma gondii

GEO Series GSE150406. Toxoplasma gondii. 10 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenOct 2020View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

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allen-brain-atlas
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Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

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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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record