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293 results for “cuing”
Cunună cu panglici – Almaș
Confecționată pe o bază din postav, acoperită cu panglică roșie, cu frunze din carton verde, cu motive florale din mătase și catifea roșie cu fire metalice, bucăți de oglindă, paiete și mărgele. În partea din spate are prinse 2 panglici late, pe fond negru, cu motive florale stilizate. Source: Objaverse 1.0 / Sketchfab
Tribological tests - block-on-ring - polymers vs. AISI 4130 - IL+CNTs, IL+Cu_CNTs
<p>Polymers: UHMWPE (Tivar 1000), POM-C (Ertacetal-C), PA (Nylon-6);</p> <p>Ionic liquids: 1-Ethyl-3-methylimidazolium dicyanamide; 1-Butyl-3-methylimidazolium bis (trifluoromethylsulfonyl)imide; Trihexyltetradecylphosphonium bis(2-ethylhexyl) phosphate;</p> <p>Test conditions: 1kN (load); 30 min (time); 200 rpm; 0.1 mL (lubricants vol.);</p>
Mechanism for SO2 poisoning of Cu-CHA during low temperature NH3-SCR
<p>Dataset related to the article with the same title and authors:</p> <p><a href="https://www.sciencedirect.com/science/article/pii/S0021951722005255">Mechanism for SO2 poisoning of Cu-CHA during low temperature NH3-SCR</a></p> <p> </p> <p>The zip file contain selected structures and a README.txt file with additional information.</p> <p> </p>
Exploring the thermal and ionic transport of Cu+ conducting argyrodite Cu7PSe6 (Computational data)
<p>This repository contains computational data for the manuscript titled “Exploring the thermal and ionic transport of Cu+ conducting argyrodite Cu7PSe6”. It consists of outputs and analysis scripts for bonding analysis through LOBSTER, harmonic phonon, and Grüneisen parameters calculations using VASP and phonopy. </p>
Videographic Data for Pore Formation and Melt Pool Analysis of Laser Welded Al-Cu Joints using Synchrotron Radiation
<p>The published data include video recordings of synchrotron radiation during a laser beam welding process in aluminium-copper joints. The recordings show the phase boundaries of the materials and are suitable for an analysis with regard to material mixing and pore formation. The experiments were conducted with the high energy beamline P07 (EH4) of Petra 3 at Deutsches Elektronen Synchrotron DESY in Hamburg, Germany.</p> <p>General parameters:</p> <p>Photon energy of synchrotron beam: 37,7 keV<br> Scintillator material: CdWO4<br> Frame rate: 1000 Hz</p> <p>Specific parameters used for videos:</p> <p>HV185: Cu-ETP (top) to Al99.5 (bottom); wavelengths of laser beam source: 1030 nm; laser beam diameter: 117 µm; laser power: 1000 W; feed rate: 50 mm/s<br> HV186: Cu-ETP (top) to Al99.5 (bottom); wavelengths of laser beam source: 1030 nm; laser beam diameter: 117 µm; laser power: 1500 W; feed rate: 100 mm/s<br> HV192: Al99.5 (top) to CuSn6 (bottom); wavelengths of laser beam source: 1070 nm; laser beam diameter: 34 µm; laser power: 750 W; feed rate: 50 mm/s<br> HV196: Cu-ETP (top) to Al99.5 (bottom); wavelengths of laser beam source: 1070 nm; laser beam diameter: 34 µm; laser power: 750 W; feed rate: 50 mm/s</p>
Encapsulation Enhances the Catalytic Activity of C-N Coupling: Reaction Mechanism of a Cu(I)/Calix[8]arene Supramolecular Catalyst - XYZ Structure files
<p>XYZ Structures corresponding to DOI: 10.1002/cctc.202200662</p>
Experimental data linked to publication "Process optimization and study of the co-sintering behaviour of Cu-Ni multi-material 3D structures fabricated by spark plasma sintering (SPS)"
<p>Those are all the experimental data used to produce the plots in the article</p>
Dataset from J. Am. Chem. Soc. paper: Hydrogen-Induced Restructuring of a Cu(100) Electrode in Electroreduction Conditions
<p>Dataset of the article "Hydrogen-Induced Restructuring of a Cu(100) Electrode in Electroreduction Conditions" accepted in J. Am. Chem. Soc.</p> <p>- ensemble_GCGA_all.db: The ASE database of all unique surface states from the grand canonical genetic algorithm (GCGA) search.</p> <p>- ensemble_LELM_refined.db: The ASE database of low-energy local minima surface states after refinement.</p> <p>- ensemble_LELM_GCDFT.db: The ASE database of low-energy local minima surface states with energy-potential relations obtained from grand canonical density functional theory (GCDFT) calculations.</p> <p>- input_GCGA.zip: input files of the GCGA search.</p> <p>- input_GCDFT.zip: input files of the GCDFT calculation.</p> <p>GCGA and GCDFT calculations are performed using the workflow or wrapper in the GOCIA package (https://github.com/zishengz/gocia)</p>
2910 Iisus cu Vița - Restaurare digitala
**2910 Iisus cu Vița** Datare: mijlocul secolului al XIX-lea Centru: Maierii Albei Iulii Material / Tehnică: Contur trasat cu cerneală pe spatele glajei (sticlă subțire neregulată, executată manual) cu penița sau cu pensula, după un izvod; pictarea suprafețelor cu tempera; aplicarea foiței aurii; rama de esență rășinoasă, profilată și băițuită. Dimensiuni: 51,7 cm x 45 cm. ** 2910 Jesus with the Vine ** Dating: mid-19th century Center: Maierii Albei Iulii Material / Technique: Ink drawn on the back of the glaze (irregular thin glass, executed manually) with a pen or brush, after an izvod; painting surfaces with tempera; sheet application aurii; resinous, profiled and stained resin frame. Dimensions: 51.7 cm x 45 cm. Source: Objaverse 1.0 / Sketchfab
3377 Maica Domnului Împărătiță cu Proorocii
**3377 Maica Domnului Împărătiță cu Proorocii** Datare: sfârșitul secolului al XVIII-lea Centru: Lancrăm Material / Tehnică: Contur trasat cu cerneală pe spatele glajei (sticlă subțire, neregulată, executată manual) cu penița, după un izvod; pictarea suprafețelor cu tempera; aplicarea foiței metalice aurii; rama de esență rășinoasă, profilată și vopsită. Dimensiuni: 52,6 cm x 46,6 cm. **3377 Mother of God Empress with the Prophets** Dated: late 18th century Center: Lancrăm Material / Technique: Outline drawn in ink on the back of the glaze (thin, irregular glass, executed manual) with the pen, after an izvod; painting surfaces with tempera; application of gold foil; resinous, profiled and painted frame. Dimensions: 52.6 cm x 46.6 cm. Source: Objaverse 1.0 / Sketchfab
2910 Iisus cu Vița
**2910 Iisus cu Vița** Datare: mijlocul secolului al XIX-lea Centru: Maierii Albei Iulii Material / Tehnică: Contur trasat cu cerneală pe spatele glajei (sticlă subțire neregulată, executată manual) cu penița sau cu pensula, după un izvod; pictarea suprafețelor cu tempera; aplicarea foiței aurii; rama de esență rășinoasă, profilată și băițuită. Dimensiuni: 51,7 cm x 45 cm. ** 2910 Jesus with the Vine ** Dating: mid-19th century Center: Maierii Albei Iulii Material / Technique: Ink drawn on the back of the glaze (irregular thin glass, executed manually) with a pen or brush, after an izvod; painting surfaces with tempera; sheet application aurii; resinous, profiled and stained resin frame. Dimensions: 51.7 cm x 45 cm. Source: Objaverse 1.0 / Sketchfab
BIR-MicroED: selected area electron diffraction tilt series datasets used to determine representative structures of biotin, Cu(II)-serine, Zn(II)-methionine, Zn(II)-histidine, and Co(II)-porphyrin
<div> <div> </div> </div> <div> <p>This deposition contains a series zip files each containing electron diffraction datasets in .mrc file format (except for the data collected from Co(II) porphyrin, which are 300 kV data in .tvips file format). Each folder collects data acquired from crystals of a particular compound under the same conditions (electron energy, temperature), where the reduced data from each were merged to determine a single representative structure of the compound by microED. Zip files are named according to the format: <em>"CompoundName</em>_<em>AcceleratingVoltage</em>_<em>Temperature_</em>structuredatasets.zip"</p> <p>Diffraction datasets within each folder are named according to the format: <em>CompoundName</em>_structuretiltseries_<em>AcceleratingVoltage</em>_<em>Temperature</em>_crystal#.mrc (or .tvips).</p> <p>All 200 kV datasets were collected with a rotation speed of 1 degree/second and an effective frame rate of 1 frame/second, with the exception of two Zn(II) methionine datasets collected with a frame rate of 3 frames/second. These are noted by the presence of "3fps" in the file name.</p> <p>All 300 kV datasets were collected with a rotation speed of 0.03 degrees/second and a frame rate of 0.5 frames/second.</p> </div>
Interpretation of H2‑TPR from Cu-CHA Using First-Principles Calculations
<p>Dataset related to the article with the same title and authors:</p> <p><a href="https://doi.org/10.1021/acs.jpcc.3c07998">Interpretation of H2‑TPR from Cu-CHA Using First-Principles Calculations</a></p> <p> </p> <p>The zip file contains selected structures and a README.txt file with additional information.</p>
Dataset from J. Am. Chem. Soc. paper: H and CO Co-induced Roughening of Cu Surface in CO2 Electroreduction Conditions
<p>Dataset from J. Am. Chem. Soc. paper: H and CO Co-induced Roughening of Cu Surface in CO2 Electroreduction Conditions</p> <p> </p> <ul> <li>GCGA.zip <ul> <li>step1_init_gen<br>random structure generation for the initial population of the GCGA search</li> <li>step2_init_opt<br> batch optimization of the initial population</li> <li>step3_gcga<br>GCGA search</li> <li>result<br>ASE database of all sampled structures from GCGA searches for Cu (100), (111), and (711)</li> </ul> </li> <li>GCDFT.zip <ul> <li>input_example<br>input files for surface charging calculations of optimized slabs</li> <li>result<br>ASE database of all GCDFT-calculated low energy local minima for Cu (100), (111), and (711)</li> </ul> </li> <li>MC_LSV.zip <ul> <li>input_example<br>input files for running a simulated cathodic scan using the quasi-kinetic MC</li> <li>result_parsed<br>trajectory of key info of each simulation</li> </ul> </li> <li>MC_CA.zip <ul> <li>input_example<br>input files for running a constant potential simulation using the quasi-kinetic MC</li> <li>result_parsed<br>trajectory of key info of each simulation</li> </ul> </li> </ul> <p>GCGA and GCDFT calculations are performed using the workflow or wrapper in the GOCIA package (https://github.com/zishengz/gocia)</p>
Machine learning based on whole-rock geochemical data: An indication for the porphyry Cu-Au deposits in Central Asian Orogenic Belt
<div> <h2>Introduction</h2> </div> <p>Welcome to the PorphyryAuML project! This repository is dedicated to exploring the mechanism of gold (Au) enrichment in porphyry systems within the Central Asian Orogenic Belt using machine learning. We apply models like XGBoost and Random Forest to analyze whole-rock geochemical data, aiming to classify porphyry deposit types and highlight key geochemical indicators.</p> <div> <h2>Key Features 🌟</h2> </div> <ul> <li><strong>Principal Component Analysis (PCA):</strong> Reduce dimensionality to discover the most significant variables.</li> <li><strong>Machine Learning Models:</strong> Utilize XGBoost and Random Forest for robust classification.</li> <li><strong>Feature Importance Analysis:</strong> Identify crucial geochemical markers for Au presence and quantity.</li> <li><strong>Visualization:</strong> Detailed plots to illustrate model outcomes and geochemical patterns.</li> </ul> <div> <h2>Data 📊</h2> </div> <div> <h3>DATA.xlsx</h3> </div> <p>The <code>DATA.xlsx</code> file contains crucial geochemical data used in our analysis, organized across three sheets:</p> <ul> <li><strong>group1</strong>: Represents the Cu-Au (Copper-Gold) porphyry deposits. This sheet contains all relevant geochemical markers and measurements specific to this group.</li> <li><strong>group2</strong>: Corresponds to Cu(-Au±Mo) (Copper with minor Gold and possibly Molybdenum) porphyry deposits. It includes a detailed set of data focusing on the variations and characteristics of these mixed element deposits.</li> <li><strong>group3</strong>: Contains data related to Cu-Mo (Copper-Molybdenum) porphyry deposits, focusing on the distinct geochemical profiles that typify these deposits.</li> </ul> <p>Each sheet is named to reflect the group it represents and is vital for our machine learning analysis to classify and predict porphyry deposit types based on their geochemical properties.</p>
3/4/5 Factor Models for five Cu(II)/en datasets
<p>15 sivvu files that can be imported at sivvu.org</p> <p>each contains one of five datasets,each fit with a 3, 4, o r5 factor model.</p>
Analytical Electron Microscopy of Grain Boundary Segregation: Application to Al-Zn-Mg-Cu (7xxx) Alloys - Supporting Data
<p>Data to reproduce the figures reported in the manuscript Analytical Electron Microscopy of Grain Boundary Segregation: Application to Al-Zn-Mg-Cu (7xxx) Alloys. Published open access in Materials Characterization <a href="https://doi.org/10.1016/j.matchar.2019.06.016">https://doi.org/10.1016/j.matchar.2019.06.016</a></p>
Identification of processes in Cu-ore heap leaching using Cu isotopes and leachate chemistry at Tschudi mine, northern Namibia - Supplementary data
<p>This is a supplementary dataset to the paper:</p> <p>Sracek O., Ettler V., Mihaljevič M., Kříbek B., Mapani B., Penížek V., Zádorová T., Vaněk A. (2024): Identification of processes in Cu-ore heap leaching using Cu isotopes and leachate chemistry at Tschudi mine, northern Namibia. <em>Hydrometallurgy</em> <strong>228</strong>, 106356.</p> <p>This research was supported by the Johannes Amos Comenius Programme (OP JAC), project No. CZ.02.01.01/00/22_008/0004605, Natural and anthropogenic georisks. The dataset is published under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). This license allows others to distribute, remix, adapt, and build upon the dataset for any purpose, even commercially, as long as they give appropriate credit to the original creator(s).</p>
Spin density studies of tetrahedral Cu(II) ions doped into porous zeolitic imidazolate frameworks
<p><strong>Description of the dataset:</strong></p> <ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements</li> <li>Files are with filename extensions: <strong>spc, par, dsc, dta, out, and oof</strong></li> <li>Information on <strong>origin of the data</strong>:</li> <li>The X-band continuous wave (CW) EPR spectroscopic measurements were generated by EMX spectrometer equipped with ER 4119 HS Resonator. The raw data extensions: spc and par.</li> <li>The Q-band pulsed EPR experiments (Davies and Mims ENDOR) were conducted using a Bruker Elexsys E580 spectrometer with a SuperQ-FT microwave bridge. The raw data extensions: dsc and dta.</li> <li>Periodic geometry optimizations were carried out by using the replicated data-parallel version of CRYSTAL17 code within the framework of Density Functional Theory (DFT) exploiting the hybrid B3LYP method. Molecular cluster calculations were carried out with ORCA (v5.0.2) code.</li> </ul> <ul> <li><strong>Folders are classified based on the type of measurement conducted.</strong></li> </ul> <ul> <li><strong>Additional Information </strong>: <ul> <li>specialized abbreviations: <strong>EPR</strong> – Electron Paramagnetic Resonance, <strong>ZIF</strong> – Zeolitic imidazolate frameworks, <strong>HYSCORE</strong>- Hyperfine sublevel correlation, <strong>ENDOR </strong>- Electron nuclear double resonance, <strong>EDFS </strong>- Echo-detected field sweep, <strong>ESEEM- </strong>electron spin echo envelope modulation, <strong>Act - </strong>activated.</li> <li>definitions of variables: <strong>magnetic field, pulse sequence, microwave power.</strong></li> <li>units of measurement: <strong>Gauss (G), milliTesla (mT), nanosecond(ns), microwave power (dB), Kelvin (K), Cu dopant percentage (%)</strong>.</li> <li>abbreviations on the data filename for pulsed EPR results: Dates, sample name, sample state, type of experiments (including the pulse delay tau or d1), temperature, number of scan, baseline correction if indicated.</li> </ul> </li> </ul>
Dataset for publication: "Structural and spectroscopic studies of lithium tetraborate glass co-doped with Sm and Cu"
<p>Dataset for the article: B.V. Padlyak, I.I. Kindrat, V.T. Adamiv, A. Drzewiecki, B. Cieniek, I. Stefaniuk, Structural and spectroscopic studies of lithium tetraborate glass co-doped with Sm and Cu, Phys. Chem. Chem. Phys. 26 (2024) 22006–22022, https://doi.org/10.1039/d4cp01633e.</p>
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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)
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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.