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1,013 results for “Glass”
Glass_Procedure_body_blowing_Mingei
Documentation material from the Mingei project
Glass_Procedure_leg_and_foot_laying_Mingei
Documentation material from the Mingei project
Glass_Procedure_blocking_Mingei
Documentation material from the Mingei project
Glass_Procedure_cord_laying_Mingei
Documentation material from the Mingei project
Glass_Procedure_beak_cutting_Mingei
Documentation material from the Mingei project
Data for "Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning"
<p>Datasets and material for replicating plots and results from the paper "Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning" <a href="https://scipost.org/SciPostPhys.15.1.018">SciPost Phys. 15, 018 (2023)</a>.</p> <p>You will find three data files and a ReadMe.txt:</p> <ul> <li><strong>couplings.tar.gz </strong>contains the random couplings of the system's Hamiltonian <span class="math-tex">\(H = \sum_{\langle ij \rangle}{J_{ij} \sigma_i \sigma_j}\)</span>;</li> <li><strong>datasets.tar.gz </strong>contains all the datasets generated by the <a href="https://www.dwavesys.com/">D-Wave</a> quantum computer. They are already split into train and validation and divided for the type of model and annealing time;</li> <li><strong>data_for_fig.tar.gz </strong>contains files for reproducing the plots of the article, almost all of them are saved in double format, .csv and .npy or .npz.</li> </ul> <p>We encourage you to download the GitHub code linked below to open all the listed data.</p> <p>All the data are zip, so to unzip them using</p> <pre><code class="language-bash">tar -xvf datasets.tar.gz</code></pre> <p>The code for training the Neural Networks and reproducing all the results is open access at <a href="https://doi.org/10.5281/zenodo.7118502">zenodo.7118502</a>.</p>
Adolf Glass (g2493)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Adolf Glass<br><u>musiXplora-ID</u>: g2493<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/g2493">https://musixplora.de/mxp/g2493</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1882<br><u>Sectors</u>: Harmonikabau<br><u>Professions (Historical)</u>: Patentinhaber<br><u>Professions (Musical)</u>: Handzuginstrumentenbauer<br><u>Other Places of Activity</u>: Klingenthal<br><br><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Otto Glass (g2208)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Otto Glass<br><u>musiXplora-ID</u>: g2208<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/g2208">https://musixplora.de/mxp/g2208</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1931<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Musical)</u>: Geigenbauer<br><u>Other Places of Activity</u>: Leipzig<br><br><br><u>Ereignisse:</u><br><table><tbody><tr></tr><tr><td>Hersteller</td><td></td><td>Herstellung</td><td>6027948</td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Friedrich Paul Glass (g2019)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Friedrich Paul Glass<br><u>musiXplora-ID</u>: g2019<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/g2019">https://musixplora.de/mxp/g2019</a><br><u>Gender</u>: m<br><u>Date of Birth</u>: 30 October 1904<br><u>Place of Birth</u>: Markneukirchen<br><u>First Mentioned</u>: 1939<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Musical)</u>: Bogenmacher<br><u>Main Place of Activity</u>: Markneukirchen<br><br><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Lütgendorff 1990</td><td>Die Geigen- und Lautenmacher vom Mittelalter bis zur Gegenwart. Teil 3: Ergänzungsband. Erstellt von Thomas Drescher. Lüt3</td><td><a href="https://musixplora.de/mxp/5002060">5002060</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Two-time correlation function based on speckle patterns from x-ray photon correlation spectroscopy associated with "Intermittent cluster dynamics and temporal fractional diffusion in a bulk metallic glass" (scientific article published in Nature Communications, 2024)
<p>This dataset consists of contrast data, i.e., the two-time correlation function, based on speckle patterns measured at the at the 8ID-E beamline of the Advanced Photon Source at Argonne National Laboratory.</p> <p>Experimental details are stated in the paper specified under "related work" and in the accompanying supplementary information.</p> <p>You are welcome to use this dataset in compliance with the CC BY 4.0 licence assigned to this dataset.</p> <p>Any questions regarding the data can be addressed to birte.riechers@bam.de who would also appreciate a note if you find the data useful.</p> <p>____________________________________________________________________</p> <p>The data consists of 32 text files in total, which correspond to the main and lower panel Figure 2 of the main publication. </p> <p>30 of these text files are contrast data, which are named "contrast_DT250s_nn.text" wiith "nn" as the identifier of consecutive data sets going from 1 to 30. Each data set consists of p rows and q columns, DT250s denotes the time resolution of data points, which is 250 s along both row and column values.</p> <p>The data set called "Time_Contrast_1to30s.txt" states the start time in seconds of the first data point of each of the thirty contrast data set.</p> <p>The data set called "ScatteredIntensity.txt" states the scattered intensity at full time resolution, i.e. 2.5 s.</p> <p>The files are plain text files with the data points separated by "space" along rows and "new line" along columns.</p>
DATA: As-deposited and dewetted Cu layers on plasma treated glass: adhesion study and its effect on biological response
<p>Dataset contains data related to improving the adhesion of nanosized copper films to a glass substrate. </p>
Glass sealing of Prakāśadharman
<p>Figure 53 in</p> <p><em>To engrave his virtues on the disc of the moon… Inscriptions of the Aulikaras and Their Associates</em></p> <p>Dániel Balogh, 2019</p> <p>Glass sealing of Prakāśadharman. Digital tracing of sketch by V. S. Wakankar (dated 28/3/78). Courtesy of Kailash Chandra Pandey</p>
Bielefeld Molecular Organic Glasses (BIMOG) Database
<p>The Bielefeld Molecular Organic Glasses (BIMOG) Database is based on a compiled dataset of experimental glass transition temperatures (Tg). The BIMOG database is the basis for our machine learning model for predicting the glass transition temperature of molecular organic compounds. For this purpose, we extended the previously unpublished data set from <a href="https://dx.doi.org/10.1039/C1CP22617G"><strong>Koop et al. 2011</strong></a> with further data from the literature. All experimental data are listed with their respecitve source.</p> <p>Further information is provided here: <strong><a href="https://tgml.chemie.uni-bielefeld.de">https://tgml.chemie.uni-bielefeld.de</a></strong></p> <p>To expand the database, we welcome the submission of further experimental data from the community. To do so, please follow this <a href="https://tgml.chemie.uni-bielefeld.de/submit_data"><strong>link</strong></a>.</p>
Source data for manuscript "Real-time microscopy of the relaxation of a glass".
<p>Source data for manuscript "Real-time microscopy of the relaxation of a glass" (DOI: 10.1038/s41567-023-02125-0), including:</p> <p>- AFM source images</p> <p>- data points for all plots in the manuscript</p>
Image and label patches used to train GLASS-AI
<p>This archive contains the paired image and label patches used to train our machine learning pipeline, Grading of Lung Adenocarcinoma with Simultaneous Segmentation by Artificial Intelligence (GLASS-AI). </p> <p>Image patches were generated from whole slide images of H&E-stained sections using an Aperio ScanScope AT2 Slide Scanner (Leica) at 20x magnification with a 0.5022 microns/pixel resolution. The individual tumors and airways were annotated by an expert human before being divided into 224x224 pixel patches of the H&E image and paired annotation layer.</p> <p>For more details regarding how these data were used to train GLASS-AI, please see our forthcoming manuscript. </p>
A localization transition underlies the mode-coupling crossover of glasses
<p>This dataset is associated to "A localization transition underlies the mode-coupling crossover of glasses" by D. Coslovich, A. Ninarello and L. Berthier [<a href="https://arxiv.org/abs/1811.03171">https://arxiv.org/abs/1811.03171</a>].</p> <p>It includes post-processed data and workflow to reproduce the analysis and the figures of the article and of the supplemental information.</p> <p><strong>Supplementary information is available in the Supplement section of the project document (project.pdf).</strong></p> <p>The easiest way to reproduce the analysis and figures, and then check the results, is to use the make script:</p> <pre><code class="language-bash">./make all</code></pre> <p>Alternatively, the analysis and figures can be reproduced in any of the following ways</p> <ul> <li>following the workflow described in the <a href="https://orgmode.org">org-mode</a> project file project.org</li> <li>using the individual bash and gnuplot scripts in src/ and plots/</li> </ul> <p>Folders and files description:</p> <ul> <li>analysis/: post-processed data</li> <li>src/: bash, python and gnuplot scripts needed to reproduce the analysis</li> <li>plots/: eps figures that appear in the paper and supplemental information and associated gnuplot scripts</li> <li>make: convenience script to setup the python environment, analyze the data and reproduce the figures</li> <li>project.org: org-mode project file with workflow and supplemental information</li> <li>project.pdf: pdf project file with workflow and supplemental information</li> <li>project.bib: bibtex bibliography associated to the project</li> <li>project.setup: org-mode export configuration</li> </ul> <p>Dependencies:</p> <ul> <li>numpy (1.21.6)</li> <li>scipy (1.11.1)</li> <li>argh (0.26.2)</li> <li><a href="https://pypi.org/project/atooms/">atooms</a> (1.9.1)</li> <li>gnuplot (5.0.0)</li> </ul> <p>The analysis scripts have been tested with python 3.8. The org-mode project file has been tested with org version 9.1.13.</p> <p>Note: this dataset does not contain (at least yet) the particle configurations associated to saddle points, only the post-processed files containing selected properties of their normal modes.</p> <p>Changelog:</p> <ul> <li>1.2.2 <ul> <li>fix requirements</li> </ul> </li> <li>1.2.1 <ul> <li>fix ./src/adiff.py</li> <li>fix final check of ./make all</li> <li>improve pdf layout</li> <li>improve handling of org properties</li> </ul> </li> <li> <ul> </ul> </li> <li> <ul> </ul> </li> <li>1.2.0 <ul> <li>add analysis of eigenvector-following optimizations</li> <li>small changes and fixes to analysis scripts</li> </ul> </li> <li>1.1.0 <ul> <li>add "all" target to ./make</li> <li>fix ./make check</li> <li>improve setup description</li> </ul> </li> <li>1.0.0 <ul> <li>initial submission</li> </ul> </li> </ul>
FESEM after antibacterial test on Ti- bulk metallic glass compared with Ti6Al4V
<p>Field Emission scanning electron microscopy of Ti40Zr10Cu36Pd14 and Ti6Al4V after 24 h of antibacterial test with Aggregatibacter</p>
dynamic water contact angle measurements of metallic glass coatings
<p>dynamic water contact angle measurements of Zr-Cu-Ag metallic glass coatings. The file named PBT is the non-coated sample. The other three samples were metallic glass coatings.</p>
Field Emission Scanning Electron microscopy from Zr-Cu-Ag metallic glass coatings after antibacterial test with E.Coli
<p>Field Emission Scanning Electron Microscopy Figures from metallic glass (Zr-Cu-Ag) antibacterial coatings. Coatings have the name SP in their file name. The non-coated comparison is PBT. This is after the antibacterial test with <em>E.coli</em> after 24 hours. </p>
small angle x-ray scattering from Zr-Cu-Ag metallic glass coatings
<p>small angle x-ray scattering from Zr-Cu-ag metallic glass coating to confirm whether they became amorphous or not. The coating is on PBT substrate. </p>
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