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109 results for “Electron Diffraction”
Evidence for phonon hardening in laser excited gold using x-ray diffraction at a hard x-ray free electron laser
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Electron microscopy, energy-dispersive X-ray spectroscopy, & X-ray diffraction data from: Duck-billed dinosaur fleshy midline and hooves reveal terrestrial clay-template “mummification”
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Data from: Multiple origins of extra electron diffractions in fcc metals
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Data for "TrueEBSD: correcting spatial distortions in electron backscatter diffraction maps"
<p>Data for "TrueEBSD: correcting spatial distortions in electron backscatter diffraction maps" published in Ultramicroscopy.</p> <p>Journal DOI: <a href="https://doi.org/10.1016/j.ultramic.2020.113130">https://doi.org/10.1016/j.ultramic.2020.113130</a>;<br> Preprint DOI: <a href="https://arxiv.org/abs/1909.00347">https://arxiv.org/abs/1909.00347</a>.</p> <p>The zipped folder contains:</p> <ol> <li>Readme (text file)</li> <li>'Ti-64' data subfolder: data for one of the maps in the Ti-64 map stitching example</li> <li>'ZrH' data subfolder: data for the hydride-containing Zircaloy-4 example</li> <li>'CP-Zr' data subfolder: data for the in-situ deformed Zr example</li> <li> 'MATLAB scripts' subfolder: TrueEBSD source code.</li> </ol> <p> </p> <p>Each data subfolder contains:</p> <ul> <li>Input image files</li> <li>EBSD orientation files in Bruker CTF format</li> <li>'Outputs' subfolder containing output figures as image files.</li> </ul> <p>The 'MATLAB scripts' subfolder contains TrueEBSD source code:</p> <ul> <li>The primary user interface is 'input_deck.m'. Most user settings can be changed here. <ul> <li>The input deck entries here have been pre-filled for the Ti-64 dataset.</li> </ul> </li> <li>To use TrueEBSD, run 'input_deck.m' in MATLAB.</li> <li>The method is outlined in 'main.m', which calls functions in 'MATLAB scripts\code\'.</li> </ul>
STEM serial electron diffraction data
<p>Serial electron diffraction (SerialED) data of Zeolite Y and ZSM-25 (electron-beam sensitive). The data were collected under STEM mode on a Thermo Fisher Scientific Themis microscope (300kV) using a gatan oneview camera. The cRED data of FAU type zeolite was collected using a JEOL 2100 LaB6 TEM using an ASI Timepix hybrid dector. </p>
Experimental and theoretical analysis of ultrafast electron diffraction (UED) data for acetylacetone
<p>Here, in two archives with data for ultrafast electron diffraction (UED) study of the acetylacetone.</p><ol><li><a href="https://zenodo.org/api/records/10206479/draft/files/AcAc_UED_theoretical.zip/content">AcAc_UED_theoretical.zip</a> contains the results of theoretical simulations.</li><li><a href="https://zenodo.org/api/records/10206479/draft/files/AcAc_UED_experimental.zip/content">AcAc_UED_experimental.zip</a> contains raw and processed experimental data and scripts for data processing.</li></ol><p>Within each of the ZIP archives, the README files provide information on the actual data content within. </p>
Tutorial data for NordTEMhub/ARTEMI Workshop, Three-Dimensional Electron Diffraction
<p>The data is used for NordTEMhub/ARTEMI Workshop, Three-Dimensional Electron Diffraction, 15-17 April 2024, Stockholm, Sweden.</p> <p><strong>A. Data information</strong></p> <p>There are<strong> two </strong>zip files<strong>:</strong></p> <p><em><strong>[1] Tutorial_data.zip</strong></em></p> <p>1) Part1_3_data_processing_1dataset:</p> <p> This folder includes 1 CAU-36 dataset for <strong>Part 1-3</strong> of the tutorial.</p> <p>2) Part4_batch_data_processing_8datasets:</p> <p> This folder contains 8 CAU-36 datasets for <strong>Part 4</strong> of the tutorial.</p> <p>3) Part5_bonus_Lysozyme_protein_47datasets: </p> <p> 47 lysozyme datasets. The data will not be included in this tutorial.</p> <p><em><strong>[2] CAU-36only.zip</strong></em></p> <p>Only data for CAU-36</p> <p>1) Part1_3_data_processing_1dataset:</p> <p> This folder includes 1 CAU-36 dataset for <strong>Part 1-3</strong> of the tutorial.</p> <p>2) Part4_batch_data_processing_8datasets:</p> <p> This folder contains 8 CAU-36 datasets for <strong>Part 4</strong> of the tutorial.</p> <p><span>*If you have no interest in protein data, you can only download <strong>CAU-36only.zip</strong>.</span></p> <p> </p> <p><strong>B. Data collection </strong></p> <p>The cRED data of CAU-36 was collected with an ASI Timepix hybrid detector installed on a JEOL JEM-2100 (200 kV) microscope equipped with a LaB6 filament.</p> <p> </p> <table> <tbody> <tr> <td> <p>Sample</p> </td> <td> <p>CAU-36, MOF</p> </td> </tr> <tr> <td> <p>Related Publications</p> </td> <td> <p><em>Chem.: Eur. J.</em>, <strong>24</strong>, 2018</p> </td> </tr> <tr> <td> <p>TEM</p> </td> <td> <p>JEOL JEM-2100LaB6, 200 kV</p> </td> </tr> <tr> <td> <p>Camera</p> </td> <td> <p>ASI TimePix</p> </td> </tr> </tbody> </table> <p> </p> <p>The MicroED data of lysozyme was collected with an CetaD detector installed on a Titan krios Titan Krios G3i equipped with an autoloader. The data collection software was EPU-D.</p> <p> </p> <p><strong>B. Required data processing software </strong></p> <p><em>Information about RED:</em></p> <p>Wan. W. et. al. “Three-dimensional rotation electron diffraction: software RED for automated data collection and data processing”, <em>Journal of Applied Crystallography</em>, <strong>2013</strong></p> <p>Zhang. D. et. al. “Collecting 3D electron diffraction data by the rotation method<em>”, Zeitschrift für Kristallographie</em>, <strong>2010</strong></p> <p>Website: <a href="https://www.mmk.su.se/zou/electron-crystallography-software/rotation-electron-diffraction-red">https://www.mmk.su.se/zou/electron-crystallography-software/rotation-electron-diffraction-red</a></p> <p><em>Information about XDS:</em></p> <p>Kabsch. W. “XDS”, <em>ACTA CRYSTALLOGRAPHICA SECTION D</em>, 2010</p> <p>XDS Wiki: <a href="https://strucbio.biologie.uni-konstanz.de/xdswiki/index.php/Main_Page">https://strucbio.biologie.uni-konstanz.de/xdswiki/index.php/Main_Page</a></p> <p><em>AutoXDSGUI:</em></p> <p><em>A homemade batch data processing software. Will be available in Zenodo or GitHub soon!</em></p> <p> </p> <p><strong>C. Structure determination software</strong></p> <p><em>Information about Shelx (including Shelxs, Shelxt and Shelxl) for CAU-36:</em></p> <p><a href="http://shelx.uni-ac.gwdg.de/SHELX/">http://shelx.uni-ac.gwdg.de/SHELX/</a></p> <p><em>Information about Phenix for protein:</em></p> <p><a href="http://shelx.uni-ac.gwdg.de/SHELX/">https://phenix-online.org/</a></p> <p><em>Information about Coot for protein:</em></p> <p>https://www2.mrc-lmb.cam.ac.uk/personal/pemsley/coot/</p> <p> </p> <p> </p>
BIR-MicroED: selected area electron diffraction datasets from static microcrystals (biotin, Cu(II)-serine, Zn(II)-methionine) at 300 keV
<p>This deposition contains a series zip files each containing electron diffraction datasets in .tvips file format. Each folder collects data acquired from crystals of a particular compound under the same conditions (electron energy, temperature). Zip files are named according to the format: <em>"CompoundName</em>_<em>AcceleratingVoltage</em>_<em>Temperature</em>.zip"</p> <p>Diffraction datasets within each folder are named according to the format: <em>CompoundName</em>_static_diffraction_<em>AcceleratingVoltage</em>_<em>Temperature</em>_series#.tvips</p>
Dataset for: Improving parent-austenite twinned grain reconstruction using electron backscatter diffraction in low carbon austenite
<p><strong>Improving parent-austenite twinned grain reconstruction using electron backscatter diffraction in low carbon austenite</strong></p> <p><strong> </strong>Ruth M. Birch<sup>1</sup>*, T. Ben Britton<sup>1</sup>, W. J. Poole<sup>1</sup></p> <p>1. Department of Materials Engineering, University of British Columbia, Frank Forward Building, 309-6350 Stores Road, Vancouver, BC, Canada V6T 1Z4</p> <p>*corresponding author: ruth.birch@ubc.ca</p> <p>---</p> <p><strong>Abstract: <br></strong></p> <p>Thermomechanical controlled processing (TMCP) is widely used to optimize the final properties of high strength low alloy (HSLA) steels, via microstructure engineering. The room temperature microstructures are influenced by the high temperature austenite phase, and the austenite microstructure <span>is commonly</span><span>can be</span> accessed by reconstruction using electron backscatter diffraction (EBSD) data of the final microstructure. A challenge for reconstruction of the <span>PAG </span><span>parent austenite grain (PAG) </span>microstructure and subsequent austenite grain size measurement is the presence of austenite-phase annealing twins, and we address<span> this</span> challenge with a new <span>‘</span>re-sort<span>’</span> algorithm. Our algorithm has been validated using the retained austenite regions (which were recovered via advanced pattern matching of EBSD patterns). We demonstrate that the re-sort algorithm improves the PAG reconstruction significantly, especially for the grain boundary network and correlation with other methods of grain size assessment and development of TMCP steels.</p> <p>---</p> <p><strong>Dataset includes:</strong></p> <ul> <li>Higher quality figures</li> <li>EBSD dataset with/without pattern matching:<br> <ul> <li>1mm map Specimen 1 Site 1 Map Data 1-Subset 1.h5oina</li> <li>1mm map Specimen 1 Site 1 Map Data 1-Subset 1-PatternMatching.h5oina</li> </ul> </li> <li>Code bundle</li> </ul>
Iterative cell optimization in refinement of small molecule electron diffraction data.
<p>Electron diffraction data for the MOF Vie-1 and for Oseltamivir. Associated with the manuscript "Iterative cell optimization in refinement of small molecule electron diffraction data." in submission process.</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>
Raw dataset for "Multi-Objective Bayesian Active Learning for MeV-ultrafast electron diffraction"
<p>this dataset contains raw data collected at the SLAC MeV-UED facility, the data was saved in .npy format. The name of each file starts with a number referring to the time stamp when it was recorded.</p> <p>“xxxxxxxxxx_Andor1.npy” contains the beam images recorded at the diffraction detector plane associated with the q-resolution</p> <p>“xxxxxxxxxx_qm.npy” contains the beam images recorded at the sample plane associated with the spot size</p> <p>“xxxxxxxxxx_scalars.npy” contains the machine settings and readouts from the EPICs system, scalar names are listed in “scalars.txt”</p> <p>“xxxxxxxxxx_vcc.npy” contains the images recorded at a virtual cathode camera</p> <p>“xxxxxxxxxx_THzon_img.npy” contains the THz streaked beam images associated with the temporal length</p> <p>“xxxxxxxxxx_THzoff_img.npy” contains the unstreaked beam images for subtracting intrinsic broadening without THz pulses</p>
Data Bundle for "Rapid electron backscatter diffraction mapping: Painting by numbers"
<p>This data is a release of EBSD data for "Rapid electron backscatter diffraction mapping: Painting by numbers"<br> Figure 5 and Figure 6 contain the EBSD data.<br> FFArgus.png = far field ARGUS image <br> NFArgus.png = near field ARGUS image<br> IPF = image data for the EBSD data<br> *.ctf = export of Bruker CTF data for full EBSD map to plot EBSD maps (e.g. in MTEX)<br> *.txt = reconstructed EBSD data in columns: euler1 euler 2 euler 3 euler 3 xpos ypos phaseID<br> *.prg = Bruker project file (use this to link the EBSD patterns to the NF Argus image)<br> EBSP folder = EBSPs as captured.</p> <p>The data bundle was prepared by Ben Britton (b.britton@imperial.ac.uk).</p> <p>The figures are presented in the powerpoint (which can be extracted as a zip if needed).</p>
Data for 'The effect of δ-hydride on the micromechanical deformation of a Zr alloy studied by in situ high angular resolution electron backscatter diffraction'
<p>This is the data bundle for <br> "The effect of delta-hydride on the micromechanical deformation of a Zr alloy studied by in situ high angular resolution electron backscatter diffraction" <br> published in Scripta Materialia in 2019</p> <p>Siyang Wang 1, Szilvia Kalácska 2, Xavier Maeder 2, Johann Michler 2, Finn Giuliani 1, T. Ben Britton 1</p> <p>1 Imperial College London, London, UK SW7 2AZ<br> 2 EMPA, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Mechanics of Materials and Nanostructures, Feuerwerkerstrasse 39, 3602, Thun, Switzerland</p> <p>Please refer to the newest version of this data bundle, if there are multiple versions.</p> <p>For more information email siyang.wang15@imperial.ac.uk (Mr. Siyang Wang).</p>
Data for 'Indexing electron backscatter diffraction patterns with a refined template matching approach'
<p>Data for 'Indexing electron backscatter diffraction patterns with a refined template matching approach'</p> <p>Alexander Foden, T Ben Britton<br> Department of Materials, Imperial College London, Prince Consort Road, London, SW7 2AZ, UK</p> <p>For more information please contact: b.britton@imperial.ac.uk (Ben Britton) or a.foden16@imperial.ac.uk (Alex Foden)</p> <p>---</p> <p>File contains:</p> <p>High resolution image for Figures 1 - 11</p> <p>CSV data files for Figures 2, 3, 4, 5, 7 and 8. Figures 1 and 6 are illustrative and contain no data.</p> <p>EBSD data for figures 9, 10 and 11 can be found here <a href="https://zenodo.org/record/3459415#.XYym9C5KhaQ">https://zenodo.org/record/3459415#.XYym9C5KhaQ</a></p>
3D electron diffraction dataset of natural product Beauveriolide Q
<p><span>3D ED data was recorded using EPU-D, with the original dataset saved in MRC format. The PETS2 processing file contains all the dataset’s metadata. Structure analysis and refinement data are also included.</span></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>
Figures for "Simultaneous Observation of Nuclear and Electronic Dynamics by Ultrafast Electron Diffraction"
<p>This is the data underlying figures for the manuscript "Simultaneous Observation of Nuclear and Electronic Dynamics by Ultrafast Electron Diffraction". Data is kept in MATLAB .mat format.</p>
Progesterone Electron Diffraction (MicroED) Datasets - Glacios TEM with a CETA-D
<p>Electron diffraction datasets collected from nanometer sized crystals of progesterone (Sigma) applied to an electron microscopy grid covered in a pure carbon film. Data were collected using a Thermo Fisher Scientific Glacios Transmission Electron Microscope operated at 200 kV and -193 C using the software package Leginon. The beam diameter is ~600 nm and the total dose is ~6.8e-/A^2. The crystal was continuously rotated and diffraction data was collected with a CETA-D camera in rolling shutter mode. Data have been converted to SMV format with the addition of an offset value to remove negative pixel values. This offset value and a recommended pedestal value can be found in the image headers. An image of the crystal before centering on the small green dot is also included. Data from four crystals are provided, with 352382_1 being the best dataset. If processing in DIALS, you will first want to install the proper format class: </p> <p>dxtbx.install_format -u <a href="https://raw.githubusercontent.com/dials/dxtbx_ED_formats/master/FormatSMVCetaD_TUI.py">https://raw.githubusercontent.com/dials/dxtbx_ED_formats/master/FormatSMVCetaD_TUI.py</a></p>
Teniposide Electron Diffraction (MicroED) Datasets - Glacios TEM with a CETA-D
<p>Electron diffraction datasets collected from nanometer sized crystals of Teniposide (TCI) applied to an electron microscopy grid covered in a pure carbon film. Data were collected using a Thermo Fisher Scientific Glacios Transmission Electron Microscope operated at 200 kV and -193 C using the software package Leginon. The beam diameter is ~600 nm and the total dose is ~2.8e-/A^2. The crystals were continuously rotated and diffraction data was collected with a CETA-D camera in rolling shutter mode. Data have been converted to SMV format with the addition of an offset value to remove negative pixel values. This offset value can be found in the image headers. An image of the crystal before centering on the small green dot is also included. Data from six crystals are provided. If processing in DIALS, you will first want to install the proper format class: </p> <p>dxtbx.install_format -u <a href="https://raw.githubusercontent.com/dials/dxtbx_ED_formats/master/FormatSMVCetaD_TUI.py">https://raw.githubusercontent.com/dials/dxtbx_ED_formats/master/FormatSMVCetaD_TUI.py</a></p> <p>A final structure is deposited in the CCDC with code 2015361. </p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.