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666 results for “Diffraction”

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zenodo44/100

Femtosecond electron diffraction data of platinum

<p>Femtosecond electron diffraction data of platinum measured at the Fritz Haber Institute in Berlin. The dataset contains measurements at several absorbed energy densities, from 40 J/cm<sup>3</sup> (experimental_data_fluence_5) to 124 J/cm<sup>3</sup> ( experimental_data_fluence_1). The pump photon energy was 0.70 eV. The sample was a polycrystalline platinum film with a thickness of 15 nm. More information is available here: https://arxiv.org/abs/2012.10428</p>

opencc-by-4.0Oct 2021View details →
zenodo44/100

Femtosecond electron diffraction data of iron and cobalt

<p>Femtosecond electron diffraction data of iron and cobalt measured at the Fritz Haber Institute in Berlin. The excitation wavelength was 2300 nm in all measurements. For iron, data were recorded with four different pump fluences. For cobalt, data were recorded with six different pump fluences. The samples were polycrystalline films with a thickness of 20 nm, sandwiched between two layers of silicon nitride with a thickness of 5 nm each. More information is available here: https://arxiv.org/abs/2110.00525</p>

opencc-by-4.0Jan 2022View details →
zenodo44/100

Diffraction data from cubic insulin at room temperature

<p>X-ray diffraction data from bovine insulin (space group I 21 3) collected at the Cornell High Energy Synchrotron Source (CHESS) beamline F1.</p> <p>The dataset is intended for a diffuse scattering data reduction tutorial at the <a href="https://crystalerice.org/2022/">2022 Erice International School of Crystallography</a>. The tutorial is available on GitHub: <a href="https://github.com/ando-lab/erice-2022-data-reduction">github.com/ando-lab/erice-2022-data-reduction</a></p> <p>The dataset includes:</p> <ul> <li>Diffraction images (500 frames, 0.1 degree per frame)</li> <li>Background images (50 frames, 1 degree per frame)</li> <li>Metrology files (x and y corrections)</li> </ul>

opencc-by-4.0May 2022View details →
zenodo44/100

In-situ neutron diffraction during reversible deuterium loading in Ti-rich and Mn-substituted Ti(Fe,Mn)0.90 alloys - Dataset related to publication

<p>Data type: resume of Rietveld refinement outputs and original refinements</p> <p>Date format: .zip,&nbsp;.opj;&nbsp;&nbsp;.xlsm, .dat,&nbsp;.pcr&nbsp;(Software FullProf&nbsp;package outputs), .inp&nbsp;(Software Topas package outputs)</p> <p>Origin of the data:&nbsp;neutron diffraction patterns from ILL and ISIS, and manual Sievert measurements (PCI curves from home-made Sieverts&rsquo; type apparatus from CNRS, ICMPE, Thiais, France)</p> <p>Software needed to plot the data: folders need to be unzipped, Origin, FullProf package and Topas package.</p>

opencc-by-4.0Jun 2022View details →
zenodo44/100

Crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3), GIXD analysis results: diffraction features and crystal structure

<p>Analysis result of an <em>in-situ</em> measurement of the crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3) on a glass substrate.</p> <p>This dataset contains the positions, sizes, and integrated intensities of extracted diffraction peaks with 0.1s time resolution.</p> <p>For crystal structure matching, the provided CIF file (CCDC 1446529) was used.</p>

opencc-by-4.0Aug 2022View details →
zenodo44/100

Simulated coherent diffraction from 2NIP (SPB-SFX instrument, 3 fs, 4.96 keV European XFEL pulses)

<p>Simulated diffraction from 2NIP</p> <p>Input: https://dx.doi.org/10.5281/zenodo.886061 (photon-matter interaction)</p> <p>Simulation code: singFEL</p>

opencc-by-sa-4.0Sep 2017View details →
zenodo44/100

IODP Expedition 379 X-ray diffraction (XRD)

X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).

opencc-by-4.0Feb 2021View details →
zenodo44/100

IODP Expedition 371 X-ray diffraction (XRD)

X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).

opencc-by-4.0Feb 2019View details →
zenodo44/100

X-Ray Diffraction data from Membrane transport protein AcrB, V612F mutant with bound minocycline, source of 9FHC structure

<p>Crystals were grown of the membrane transport protein AcrB, V612F mutant, with bound minocycline.&nbsp;</p> <p>X-ray diffraction data of this upload: 400 frames of 0.5&deg; width were collected on 2007-04-30 at the X06SA beamline of Swiss Light Source at Paul-Scherrer-Institute (Switzerland).</p> <p>The data can be processed with XDS; XDS.INP is provided as part of the upload.</p> <p>The data are the basis of the PDB 9FHC structure.</p>

opencc-by-4.0Jun 2024View details →
zenodo44/100

IODP Expedition 397 X-ray diffraction (XRD)

X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).

opencc-by-4.0Jun 2024View details →
zenodo44/100

serial electron diffraction data

<p>Raw serial electron diffraction data sets from 6 samples:</p> <ol> <li>Zeolite A</li> <li>Zeolite Y</li> <li>Ge-BEC</li> <li>Mordenite</li> <li>ECR-18</li> <li>CAU-36(Co)</li> </ol> <p>Each zip file contains at least 3 directories:</p> <ul> <li>calib: contains the calibration files for the experiment</li> <li>data: contains the raw diffraction data for all the identified crystals in hdf5 format</li> <li>images: contains the image data used to locate crystals in hdf5 format</li> </ul> <p>Experimental parameters (such as the crystal coordinates) are stored in the attributes on the data files. Worked out examples have been included for samples 1 and 2 in a jupyter notebook. The Python code to process the data can be found in the problematic-0.1.0.zip folder or on http://github.com/stefsmeets/problematic</p>

opencc-by-4.0Jan 2018View details →
zenodo44/100

Continuous rotation electron diffraction data for Zeolite Mordenite

<p><strong>Raw continuous rotation electron diffraction data for mordenite:</strong><br> <br> &nbsp;&nbsp; &nbsp;- mordenite_cRED_1.zip<br> &nbsp;&nbsp; &nbsp;- mordenite_cRED_2.zip</p> <p>The zip file contains 3 directories<br> &nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;- SMV: Diffraction data (stretch correction applied) in SMV format<br> &nbsp;&nbsp; &nbsp;- Tiff: Raw diffraction data in 16-bit unsigned integer TIFF format<br> &nbsp;&nbsp; &nbsp;- Defocused images in 16-bit unsigned integer TIFF format</p> <p>Experimental parameters are stored in the header files of the SMV images, and in the file cRED_log.txt<br> The SMV data can be processed using XDS.</p> <p><br> <strong>Raw serial electron diffraction data sets for mordenite:</strong></p> <p>&nbsp; &nbsp; - mordenite_SerialED.zip</p> <p>The zip file contains at least 3 directories:</p> <p>&nbsp; &nbsp; - calib: contains the calibration files for the experiment<br> &nbsp; &nbsp; - data: contains the raw diffraction data for all the identified crystals in hdf5 format<br> &nbsp; &nbsp; - images: contains the image data used to locate crystals in hdf5 format</p> <p>Experimental parameters (such as the crystal coordinates) are stored in the attributes on the data files. The Python code to process the data can be found in the problematic-0.1.0.zip folder or on http://github.com/stefsmeets/problematic<br> Prediction scores for all diffraction patterns are given in `learning.csv`<br> &nbsp;</p>

opencc-by-4.0Jul 2018View details →
zenodo44/100

Electron Bessel beam diffraction patterns, line scan of Si/SiGe multilayer

<p>Electron diffraction patterns taken with a conical illumination (electron Bessel beams) and can be used to measure strain.</p> <p>The experimental diffraction patterns, in DM3 format, are included in the file experimental_data.7z while FEM strain simulations for the same sample are in the file reference_strain_experimental.csv</p> <p>Simulated diffraction patterns are included in the file simulated_patterns.7z while the strain in the model used is in the file reference_strain_simulated_patterns.csv</p> <p>&nbsp;</p> <p>The two python scripts attached allow the extraction of the strain, and rely on the code published at:</p> <p>https://bitbucket.org/lutosensis/tem-thesis/</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2018View details →
zenodo44/100

RefleX: X-ray diffraction images dataset

<p>Image dataset prepared for the RefleX study, described&nbsp;in&nbsp;<em>&quot;Detecting anomalies in X-ray diffraction images using Convolutional Neural Networks&quot;</em><em>.</em>&nbsp;The dataset&nbsp;contains 6311&nbsp;X-ray diffraction images in 1024x1024 png format (reflex_img_1024_inter_nearest.zip). The repository also contains a file mapping each image to a set of labels (labels.csv) and&nbsp;files describing the assignment of each image to training, validation, and testing sets (labels_train.csv, labels_val.csv, labels_test.csv).</p> <p>The dataset can be used for multi-label classification. Each diffraction image can exhibit any combination of seven classes:&nbsp;Ice ring, Diffuse Scattering, Background Ring, Non-uniform Detector, Loop Scattering, Strong Background, and Artifact.</p>

opencc-by-4.0Mar 2019View details →
zenodo44/100

X-ray diffraction images of Anti-CD20 crystals

<p>Original X-ray diffraction images from Pilatus detector taken at Diamond Light Source Synchrotron (I04 beamline).</p> <p>Images can be read by AXDV (or similar) software.</p> <p>These datasets were used for diffraction and crystallographic analyses reported in Yang et al., Crystals 2019, 9, 230.</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2019View details →
zenodo44/100

X-ray diffraction data for hexagonal porcine pepsin.

<p>Crystallographic Information File (cif) for structure factor data obtained from the hexagonal crystal form of porcine pepsin.&nbsp;</p>

opencc-by-4.0Jul 2019View details →
zenodo44/100

Data set for "Quantification of amorphous siliceous fly ash in hydrating blended cement pastes by X-ray powder diffraction"

<p>The main data is XRD patterns originally collected as xrdml and converted into rd format.</p> <p>The data set for the manuscript:</p> <p>Quantification of amorphous siliceous fly ash in hydrating blended cement pastes by X-ray powder diffraction</p> <p>Xuerun Li<sup>a</sup>, Ruben Snellings<sup>b</sup> and Karen L. Scrivener<sup>a</sup></p> <p><sup>a</sup>Laboratory of Construction Materials, Swiss Federal Institute of Technology in Lausanne (EPFL), Station 12, CH-1015 Lausanne, Switzerland</p> <p><sup>b</sup>Sustainable Materials Management, Flemish Institute of Technological Research (VITO), Boeretang 200, 2400 Mol, Belgium<br> &nbsp;</p>

opencc-by-4.0Jul 2019View details →
zenodo44/100

Zinc-doped Zeolite 13X, Partially Zinc-doped Zeolite 13X, and pure Zeolite 13X X-Ray Powder Diffraction

<p>This repository holds X-Ray Powder Diffraction data for three different Zeolite 13X samples to allow for characterisation of the diffraction pattern for zinc-doped Zeolite 13X to perform accurate phase-based diffraction-tomography reconstructions using the data from 10.5281/zenodo.13329639.</p> <p>The three samples are fully Zinc-doped Zeolite 13X, partially Zinc-doped 13X, and pure Zeolite 13X. An empty borosilicate glass capillary is provided to remove scattering from the capillary the samples were housed in.</p> <p>Data in all instances is provided in ASCII format as a .asc file. A basic jupyter notebook is provided to perform the analysis used to determine powder peaks.</p> <p>Data was collected on a Rigaku SmartLab Diffractometer with a copper x-ray source of wavelength 1.5406 angstroms at the ISIS Neutron &amp; Muon Source Materials Characterisation Lab.</p> <p>A detailed data descriptor pre-print is available at https://arxiv.org/abs/2409.07322#</p>

opencc-by-4.0Aug 2024View details →
zenodo44/100

Zinc Doped Zeolite 13X DIAD X-Ray Diffraction Computed Tomography - 25 and 50 micron spot-size

<p>This repository contains X-Ray Diffraction Computed Tomography (XRD-CT) data of a zinc doped zeolite 13X sample on the Dual Imaging and Diffraction (DIAD / K11) at Diamond Light Source.</p> <p>XRD-CT data is provided at a diffraction spot size of 25 microns for three region of interest slices, with a dataset size of 40x2000x80. Both the raw and reconstructed data is provided, along with the code to perform the reconstructions.&nbsp;</p> <p>XRD-CT data is also provided at a diffraction spot size of 50 microns for a full 1.05mm volume, with a dataset size of 20x2000x40. Scans start at 43336 and finish at 43401, with a movement of 0.05mm vertically upwards between each scan.&nbsp;The raw and reconstructed data is provided, along with the code used to perform the reconstructions. Note: Scan 43401 is excluded as a phase-based reconstruction could not be performed.</p> <p>Powder X-Ray Diffraction data can be found in an alternative repository at 10.5281/zenodo.13329670 which provides the q-values of the peaks for both the Zn and Na phase to allow the best reconstructions.</p> <p>A detailed data descriptor pre-print can be found at https://arxiv.org/abs/2409.07322</p>

opencc-by-4.0Aug 2024View details →
zenodo44/100

IODP Expedition 398 X-ray diffraction (XRD)

X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).

opencc-by-4.0Jul 2024View details →

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allen-brain-atlas
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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
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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.

ibl
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Last verified 2026-04-29Open record