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689 results for “crystals”
Ferroelectricity in a nematic liquid crystal under a direct current electric field - dataset
<p>The presented data were used in the following publication: Mrukiewicz, M., Perkowski, P., Karcz, J. & Kula, P. Ferroelectricity in a nematic liquid crystal under a direct current electric field. Phys. Chem. Chem. Phys. 25, 13061–13071 (2023).</p>
Figure Data for "Crystallization of n-alkanes under anisotropic nano-confinement in lipid bilayers"
<p>Data contained in the figures in the preprint entitled "Crystallization of n-alkanes under anisotropic nano-confinement in lipid bilayers"; to be published on ChemRxiv.</p>
Data supporting the publication "Observation of Landau levels and chiral edge states in photonic crystals through pseudomagnetic fields induced by synthetic strain"
<p>Data supporting the publication "Observation of Landau levels and chiral edge states in photonic crystals through pseudomagnetic fields induced by synthetic strain".</p> <p>Version 2: updated Figure 1c1</p>
Crystal
Modeled in Maya 2018, Textured in Substance Painter. Source: Objaverse 1.0 / Sketchfab
Underlying data for: The Fe addition as an effective treatment for improving the radiation resistance of fcc NixFe1-x single-crystal alloys
<div> <p>The set contains 5 folders (TEM, SRIM, Nanoindentation, MC/MD simulations and RBSc_MSDA) containing raw test results for a specific method.</p> <p><strong>→ TEM</strong></p> <p>In TEM folder there are 2 sub-folders named “2e14 (0.5 dpa)” and “1e15 (12 dpa). In each sub-folder there are 8 original images that make up Figure 7 and Figure 8 in the paper. Below please find the description:</p> <p><strong>Fig.7.</strong> A) Cross-sectional TEM images of the Ni, Ni<sub>0.77</sub>Fe<sub>0.23,</sub> Ni<sub>0.62</sub>Fe<sub>0.38</sub> and Ni<sub>0.38</sub>Fe<sub>0.62 </sub>irradiated with a fluence of 2×10<sup>14</sup> ions/cm<sup>2</sup> compared with SRIM calculations. B) Bright-field images of Ni, Ni<sub>0.77</sub>Fe<sub>0.23,</sub> Ni<sub>0.62</sub>Fe<sub>0.38</sub> and Ni<sub>0.38</sub>Fe<sub>0.62 </sub>irradiated with a fluence of 4×10<sup>15</sup> ions/cm<sup>2</sup>. The red arrow indicates dislocation loops, green – defect clusters and yellow – SFT.</p> <p><strong>Fig.8.</strong> A) Cross-sectional TEM images of the Ni, Ni<sub>0.77</sub>Fe<sub>0.23,</sub> Ni<sub>0.62</sub>Fe<sub>0.38</sub> and Ni<sub>0.38</sub>Fe<sub>0.62 </sub>irradiated with a fluence of 4×10<sup>15</sup> ions/cm<sup>2</sup> compared with SRIM calculations. B) Bright-field images of Ni, Ni<sub>0.77</sub>Fe<sub>0.23,</sub> Ni<sub>0.62</sub>Fe<sub>0.38</sub> and Ni<sub>0.38</sub>Fe<sub>0.62 </sub>irradiated with a fluence of 4×10<sup>15</sup> ions/cm<sup>2</sup>. The red arrow indicates dislocation loops, blue – dislocation lines, green – defect clusters and yellow – SFT.</p> <p> </p> <p>To be able to reproduce Fig.9 and Fig.10 one needs images taken at 500k (attached in the files) and follow the instruction given in the article:</p> “Moreover, in Fig.9 B defect densities have been calculated to better understand the defect configuration for various compositions. Calculations were made based on the TEM images taken at the peak damaged region (at the highest magnification of 500k). For this measurement, lamellae thickness was also measured at the peak damage region only. The densities were calculated by counting the defect sizes in a unit volume of crystalline material (based on the same image where an average defect size was calculated and presented in Fig.8 A).”</div> <p>The lamella size was as follows:</p> <table> <tbody> <tr> <td> </td> <td>0.5 dpa</td> <td>12 dpa</td> </tr> <tr> <td> </td> <td>Lamella thickness</td> </tr> <tr> <td>Ni</td> <td>54</td> <td>117</td> </tr> <tr> <td>Ni<sub>0.62</sub>Fe<sub>0.38</sub></td> <td>56</td> <td>119</td> </tr> <tr> <td>Ni<sub>0.38</sub>Fe<sub>0.62</sub></td> <td>82</td> <td>83</td> </tr> </tbody> </table> <p>Surface area for all the materials [m<sup>2</sup>] - 1,08138E-13</p> <p> </p> <p><strong>→ SRIM</strong></p> <p>In SRIM folder there are two subfolders named: “Ni” NiFe62”. In each folder there are 3 .txt files (RANGE.txt file, VACANCY.txt and NOVAC.txt) that makes up the Fig. 1 in the paper.</p> <p>“The corresponding displacement per atom (dpa) profiles were predicted by the SRIM code for all elements using the full cascade mode. The dpa has been calculated based on the following equation according to recommendations of [28,29]:</p> <p> </p> <p><em>dpa = [fluence (ions/cm<sup>2</sup>) × total vacancies/A-ion × 10<sup>8</sup>] /atomic density (atoms/cm<sup>3</sup>) (1)</em></p> <p>“</p> <p>“The ion distribution was estimated from the RANGE.txt file. The corresponding dpa profiles were calculated using two files, VACANCY.txt and NOVAC.txt, under an assumed displacement energy threshold of 40 eV for all elements. The dpa profile is the sum of the vacancy concentrations using the column of “Knock-Ons” for Ni ions and the columns of “Vacancies” from target elements (the sum of Ni vacancies and Fe vacancies in the case of Ni<sub>x</sub>Fe<sub>1</sub><sub>−</sub><sub>x</sub>) in VACANCY.txt, together with the replacement collisions in NOVAC.txt. [31].”</p> <p> </p> <p><strong>→ Nanoindentation</strong></p> <p>In “Nanoindentation” folder there are four subfolders (“Fig.5 A – virgin multicycle”, “Fig.5 B – hardness versus fluence”, “Fig.5 C – LD curve 0.1 dpa”,” Fig.5 D – LD curve 12 dpa”), which appropriately reproduces the figures 5A, B, C and D. In folder “Fig.5 A – virgin multicycle” there is an excel file with all the data needed to reproduce Fig. 5 A. In folder “Fig.5 B – hardness versus fluence” there is an excel file with all the data needed to reproduce Fig. 5 B. There are bookmarks in excel “Ni”, “NiFe12”,”NiFe23”, “NiFe38”, “NiFe62”, where are the data obtained for each material and each fluence. Hardness value is obtained as sum of an average hardness obtained in the multicycle mode (at each particular load). In folder “Fig.5 C – LD curve 0.1 dpa” there are five .txt files needed to reproduce each of Load-Displacement curve at the damage level of 0,1 dpa (“LD Ni 0,1 dpa.txt”, “LD NiFe12 0,1 dpa.txt”, “LD NiFe23 0,1 dpa.txt”, “LD NiFe38 0,1 dpa.txt”, “LD NiFe62 0,1 dpa.txt”). In folder, ”Fig.5 D – LD curve 12 dpa” there are five .txt files needed to reproduce each of Load-Displacement curve at the damage level of 12 dpa (“LD Ni 12 dpa.txt”, “LD NiFe12 12 dpa.txt”, “LD NiFe23 12 dpa.txt”, “LD NiFe38 12 dpa.txt”, “LD NiFe62 12 dpa.txt”).</p> <p><strong>→ </strong><strong>MC/MD Simulations</strong></p> <p>In “MC/MD Simulations” folder there are two subfolders: “Fig. 6a” and “Fig. 6b”. In subfolder “Fig. 6a” there are 4 .txt files which make up Fig. 6a – “Ni38Fe62-swaps-energy.txt”, “Ni62Fe38-swaps-energy.txt”, “Ni77Fe23-swaps-energy.txt”, “Ni88Fe12-swaps-energy”. In subfolder “Fig. 6b” there are 4 .txt files which make up Fig. 6b – “Ni38Fe62-swaps-l12.txt”, “Ni62Fe38-swaps-l12.txt”, “Ni77Fe23-swaps-l12.txt”, “Ni88Fe12-swaps-l12.txt”. Moreover, in the main “MC/MD Simulations” folder one can find 4 movies (namely: “Ni38Fe62”, “Ni62Fe38”, “Ni77Fe23”, “Ni88Fe12“), which shows nanoprecipitation during hybrid MD-MC.</p> <p><strong>→ RBS/C_MSDA</strong></p> <p>In “RBS/C, MSDA” folder there is one origin .opj file “NiFe_implanted_Ni_2e14-2e15_rbs_1.62He_165degr”, in which one can find all the <u>experimentally obtained spectra</u>. “<em>These spectra </em><em>for pure Ni and Ni<sub>x</sub>Fe<sub>1-x</sub> alloys irradiated with different fluences were simulated using the Monte Carlo McChasy code developed at the NCBJ [30,32]. The energy of the backscattered particle can be directly related to the depth at which the close encounter scattering event occurred. The bulk scattering arises from particles that have been deflected atomic rows and have crossed over to another row, where they undergo a close-encounter event. To reveal the damage kinetics for investigated alloys the Multi-Step Damage Accumulation (MSDA) analysis was performed [33,34]. This model is based on the equation assuming that the damage accumulation occurs through a series of structural transformations caused by the destabilization of the present crystal structure</em>.”</p> <p>“<em>Points in the MSDA figure are corresponding to maximal values of extended defects formed in irradiated materials. Solid lines are the fits made following the MSDA equation [30,33,34]:</em></p> <p>f_{d} = \sum_{i=1}^{n}(f_{d, i}^{sat} - f_{d, i-1}^{sat})G[1-exp(\sigma_{i}(\Phi - \Phi_{i-1})))]</p> <p>where:</p> <p>\sigma_{i}<em> </em> - <em>cross-section for the formation of a given kind of defect</em></p> <p>f_{d, i}^{sat} <em>- level of damage at saturation for i-th kind of defects</em></p> <p>\Phi{i} <em>- fluence threshold for triggering the formation of i-th kind of defects “</em></p> <p> </p> <p> </p> <p> </p> <p><span>“Financial support from the National Science Centre, Poland through the </span><a href="https://www.sciencedirect.com/science/article/pii/S0169433224017045#gp010" target="_blank" rel="noopener noreferrer">PRELUDIUM 21</a><span> program in the frame of grant no. </span><a href="https://www.sciencedirect.com/science/article/pii/S0169433224017045#gp010" target="_blank" rel="noopener noreferrer">2022/45/N/ST5/02980</a><span> is gratefully acknowledged.”</span></p> <p> </p>
Emerging supersolidity in photonic crystal polariton condensates
<p>These are the processed datasets for the figures in the main text of "Emerging supersolidity in photonic crystal polariton condensates" as appears in Nature.</p>
Analysis of axial resistivity during SiC crystal growth by PVT method
Open the record for dataset details and reuse information.
Data and plotting code for 'Many-body-localized discrete time crystal with a programmable spin-based quantum simulator'
<p>Underlying data and plotting for the publication: "Many-body-localized discrete time crystal with a programmable spin-based quantum simulator", J. Randall et al., 2021.</p> <p>This directory contains:</p> <p>- “Data_analysis.ipynb”: The master Jupyter notebook from which all plots produced in the main text and supplementary materials can be reproduced.<br> - “Data.zip”: A zipped folder containing the json files as loaded within “Data_analysis.ipynb”. These files contain the underlying x, y, and, where appropriate, y error values for each corresponding plot.</p> <p>The notebook should be executed using python3.</p>
music, crystal, memory (video essay)
<p>In Wong Kar-Wai's 2046 the use of music from other sources, from other films, becomes an additional layer to its multi-layered images and narrative. </p> <p>By musical cue the film gets into an intimate conversation with other films. The themes, topics, and obsessions of one melt and merge with the other. And one director at the height of his career touches the other who makes his final film. </p> <p>Time is folded into two. Sound and image crystallise.</p>
MicroED data collected from ribbon-shaped (originally thought to be needle-shaped) orthorhombic lysozyme crystals (2016-2017)
<p>Raw data used in the following journal article:</p> <p>Xu et al., 2018, Structure26, 667–675</p> <p>https://doi.org/10.1016/j.str.2018.02.015</p> <p>Information of the data is included in the ReadME.pdf</p>
In Vivo Near-Infrared Imaging Using Ternary Selenide Semiconductor Nanoparticles with an Uncommon Crystal Structure
<p>Dataset of </p> <table> <tbody> <tr> <td>https://zenodo.org/record/5793282#.YcCG4GjMJPY</td> </tr> </tbody> </table>
Scanning transmission electron microscopy data of LiNi0.5Co0.2Mn0.3O2 single crystal Cathode materials during degradation process
<p>Scanning transmission electron microscopy data of LiNi0.5Co0.2Mn0.3O2 single-crystal Cathode materials during the degradation process</p>
MicroED Characterization of a Robust Cationic σ-Alkane Complex Stabilized by the [B(3,5-(SF5)2C6H3)4]– Anion, via On-Grid Solid/Gas Single-Crystal to Single-Crystal Reactivity.
<p>3DED/MicroED datasets collected using a Thermo Fisher Scientific Glacios microscope equipped with a Ceta-D Camera associated with the publication "MicroED Characterization of a Robust Cationic σ-Alkane Complex Stabilized by the [B(3,5- (SF5)2C6H3)4]– Anion, via On-Grid Solid/Gas Single-Crystal to Single-Crystal Reactivity." published in <a href="https://doi.org/10.1039/D2DT00335J">Dalton Transactions</a>. </p> <p>Data collection details: </p> <p>200kV, microprobe, gun lens 4, spot size 11, 30 µm C2 aperture. Illuminated area was ~4 µm and a 40 µm SA aperture was used. Under these conditions flux is ~0.01 e-/Å^2/s. Camera length calibrated from Al powder was 958.5 mm. Data acquired using EPU-D with following settings: 2x binning, 0.5 °/s, 2s exposure, rolling shutter, noise reduction mode enabled. </p> <p>MRC format images can be processed with DIALS using the FormatMRC dxtbx format (distributed with DIALS from version 3.5 onwards), use goniometer.axes=1,0,0. Some processing notes for the σ-alkane Complex ([1-NBA][S-BArF4] in the paper) can be found <a href="https://github.com/huwjenkins/ed_scripts/wiki/Processing-%5BRh(NBA)(dcpe)%5D%5BB(ArSF5)4%5D-data-from-zenodo.org-record-5760938">here</a>.</p>
Origin and evolution of nephrite, diopsidites and giant diopside crystals from the contact zones of the Pounamu Ultramafics, Westland, New Zealand
<p>Paper in New Zealand Journal of Geology and Geophysics</p>
Derivation and analysis of a phase field crystal model for a mixture of active and passive particles
<p>Supplementary data for the following manuscript: Michael te Vrugt, Max Philipp Holl, Aron Koch, Raphael Wittkowski, Uwe Thiele, "Derivation and analysis of a phase field crystal model for a mixture of active and passive particles"</p>
Data of Publication "Theoretical rheo-physics of silk: Intermolecular associations reduce the critical specific work for flow-induced crystallization"
<p>Data of Publication:</p> <p><em>Theoretical rheo-physics of silk: Intermolecular associations reduce the critical specific work for flow-induced crystallization<br> Charley Schaefer and Tom C. B. McLeish<br> Citation: Journal of Rheology 66, 515 (2022); doi: 10.1122/8.0000411<br> View online: https://doi.org/10.1122/8.0000411</em></p>
Monte Carlo data for "Melting of generalized Wigner crystals in transition metal dichalcogenide heterobilayer Moiré systems"
<p>Monte Carlo lattice configuration snapshots used to produce the results in the paper "Melting of generalized Wigner crystals in transition metal dichalcogenide heterobilayer Moiré systems." For further details and analysis scripts, see the associated Github repository at https://github.com/KimGroup/tmd_moire_monte_carlo.</p>
Data and code for "Symmetries in TEM imaging of crystals with strain"
<p>Code and data related to manuscript "On Symmetries in TEM imaging of crystals with strain",<br> arXiv preprint arXiv:2206.01689. To be published in Proc. Royal. Soc. A</p> <p> </p>
Crystal Sword
A magical sword made out of a crystal shard. Source: Objaverse 1.0 / Sketchfab
Ancient Civ Crystals
Even more. Source: Objaverse 1.0 / Sketchfab
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.