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293 results for “cuing”
How to tune luminescent Cu(I) complexes with strong donor carbenes towards TADF?
<p>Theoretical and spectroscopic data of the investigated Cu(I) NHC <span>complexes </span><span>with the anionic carbene An6DAC </span>and other pyridine-derived ligands. <span>This study provides a detailed overview of the possibilities of targeted molecular design to selectively address desirable optical properties, especially thermally activated delayed fluorescence (TADF).</span></p> <p>The theoretical data include high-level DFT/MRCI calculations. The spectroscopic data include steady-state and temperature-dependent time-resolved luminescence measurements on different time scales (ns, µs, ms).</p> <p><strong>Author Contributions</strong></p> <p>Conceptualization: C. M. M. and M. S.; Methodology: J. G., D. S., P. S., S. F., R. K., M. S.; Validation: J. G., D. S., P. S.; Formal analysis: J. G., D. S., P. S., S. F., R. K., M. S.; Investigation: J. G., D. S., P. S. M. S; Data curation: J. G., D. S., P. S., S. F., R. K.; Writing – original draft preparation: J. G., D. S., P. S., C. M. M., M. S.; Writing – review and editing: J. G., D. S., P. S., R. K., C. G., C. A. M. S., C. M. M., M. S.; Visualization: J. G., D. S., P. S.; Project administration: C. G., C. A. M. S., C. M. M., M. S.; Funding acquisition: C. G., C. A. M. S., C. M. M., M. S.</p>
Pokorny, Stysk, Pinkas: Cu-SiO2-NFs Raw data
<p>This dataset contains XY data for the manuskript "Synthesis of high surface area Cu/SiO2 nanofiber catalysts for non-oxidative ethanol dehydrogenation", namely XY data for catalysis, isotherms, PXRD, TG DSC and XPS. Also raw data of size distribution. </p> <p>All data are in openly described .xlsx format.</p> <p><br>CATALYSIS/<br>-XY data for catalytic activity at 185, 220 255, and 325 °C for all nanofirbes catalysts (conversion and selectvity and yiled) and long term catalytic stability.</p> <p>Isotherms/<br>-XY data of isotherms for SiO2 calcined nanofibres and for the all nanofibres catalysts exported by Quantchrome AsiQwin.</p> <p>Nanofibres size distribution/<br>-Raw data of size distribution for SiO2 nanofibres and all nanofibres catalyst colected by imageJ.</p> <p><br>PRXD/<br> -XY data of PXRD for all spent and fresh nanofibres catalyst exported from Match!.</p> <p><br>TG-DSC/<br>-XY data of TG-DSC for SiO2 non-calcined nanofibres exported from Netch Prometeus Analysis.</p> <p>XPS/<br>-XY data of XPS for fresh and spent nanofibres catalysts. High resolution spectra of O 1s, C 1s, Cu 2p, and Si 2p were exported from CasaXPS.</p>
Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy - Supporting Data
<p>Data related to measured dispersoid compositions and calculated dispersoid volume fractions:</p> <p>Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy<br> A.M. Cassell, J. D. Robson, C. P. Race, A. Eggeman, T. Hashimoto, M. Besel.</p> <p>Submitted to Acta Materialia.</p> <p>Datafile of compositions to reproduce Fig.8 in paper (.mat Matlab format)</p> <p>Datafile of predicted dispersoid volume fractions on which calculations were performed to produce Fig. 10 in paper (comment in datafile provides further details)</p>
Density Functional Theory Calculations of Segregation Tendency of Cu and Zn in Al3Zr Dispersoid Particles
<p>The .zip archive contains data related to DFT calculations published in the paper:</p> <p>Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy<br> A.M. Cassell, J. D. Robson, C. P. Race, A. Eggeman, T. Hashimoto, M. Besel.</p> <p>Submitted to Acta Materialia.</p> <p>Archive contains a set of .txt files, each of which contains the total energies of a series of simulations along with several other output fields and descriptive fields.</p> <p>The Archive also contains a .ipynb Jupyter (Python) Notebook, which contains descriptions of the .txt files, the code required to import them and the analysis required to produce the figure in the published paper.</p>
The behaviour of copper at the nano-scale in an Al-Zn-Mg-Cu alloy, AA7010
<p>Data plots and images accompanying figures to paper.</p>
Al-Co-Cu alloy - melt-spun ribbons and powder - SEM and TEM microstructure
<p>This set contains SEM and TEM images with EDS chemical composition data for Al-Co-Cu alloy in a melt-spun ribbon form, which was applied as a catalyst for the phenylacetylene hydrogenation reaction. </p> <p>The material preparation and microstructural analyses were performed at the Institute of Metallurgy and Materials Science of the Polish Academy of Sciences.</p> <p>The experimental procedure for material preparation, instrumentation, data collection and results analysis were described in the work: https://doi.org/10.1007/s43452-024-00904-x</p> <p> </p> <p>Preparation of materials: Amelia Zięba</p> <p>TEM images collection (FEI Tecnai G2, ThermoFisher Titan Themis G2 200 Probe Cs-Corrected): Amelia Zięba, Lidia Lityńska-Dobrzyńska</p> <p>SEM images acquisition (FEI E-SEM XL-30): Amelia Zięba</p> <p> </p> <p>Files description code:</p> <p>sem_rib_2000_1 - SEM BSE image of a melt-spun ribbon_magnification_image no</p> <p>sem_pwdr_1000_1 - SEM BSE image of pulverised melt-spun ribbons_magnification_image no</p> <p>sem_pwdr_ar_1000_1 - SEM BSE image of pulverised melt-spun ribbons recovered after use as a catalyst in the phenylacetylene hydrogenation reaction_magnification_image no</p> <p>tem_bf_1 - TEM bright field image of a melt-spun ribbon sample (FIB lamella)_image no</p> <p>tem_dyf_5 - selected area electron diffraction of a melt-spun ribbon sample - the number indicates a corresponding image number</p> <p>EDS-HAADF_img_1 - STEM image of a melt-spun ribbon sample (FIB lamella) with EDS corresponding maps and line analyses</p> <p>TEM_eds_point_analysis.txt - results of point analyses for EDS-HAADF_img_x series</p> <p>stem_pwdr_ar_1 - STEM images of powder recovered after reaction with EDS analysis results: eds_spec_stem_pwdr_ar_1</p> <p> </p> <p><em><strong>Acknowledgements</strong></em></p> <p><strong><em>The work was financially supported by the National Science Centre (NCN), Poland, project No. 2021/41/N/ST8/02533.</em></strong></p> <p> </p>
Trace metals (Cd, Cu, Pb and Zn) concentrations in tissues of Pipistrellus kuhlii from NE Ukraine
<p>The dataset contains information on level of cadmium (Cd), copper (Cu), lead (Pd) and zinc (Zn) in internal and external tissues of <em>Pipistrellus kuhlii </em>from industrial (Mariupol city) and agricultural (Karlovka village). Bats were taken for analysis from Ukrainian Bat Rehabilitation Centre (Kharkiv, Ukraine) in 2021. </p>
Trace metals (Cd, Cu, Pb and Zn) concentrations in tissues of Pipistrellus kuhlii lepidus with identified age from unpolluted area - Karlovka village NE Ukraine
<div> <p>The dataset contains information on level of cadmium (Cd), copper (Cu), lead (Pd) and zinc (Zn) in internal and external tissues of <em>Pipistrellus kuhlii lepidus </em>from agricultural area (Karlovka village). Bats were taken for analysis from Ukrainian Bat Rehabilitation Centre (Kharkiv, Ukraine) in 2021-2022. In addition, age of each individual was identified using osteochronological technique. </p> <p> </p> </div>
CU RAAVEN data for WiscoDISCO21
<p>This dataset includes data collected using the RAAVEN uncrewed aircraft system between 21-26 May, 2021 over coastal Wisconsin (USA) around the Chiwaukee Prairie State Natural Area. The aircraft was operated between the surface and 500 m AGL over the coastal land and lake environments, making measurements of temperature, relative humidity, winds, surface and sky IR temperature, turbulence, aircraft position and aircraft attitude. In total, 12 flights were completed totaling nearly 24 flight hours.</p>
Insights from Transient Absorption Spectroscopy into Electron Dynamics Along the Ga-Gradient in Cu(In,Ga)Se2 Solar Cells: Data
<p>Excel file with data to all figures published in our article found at https://doi.org/10.1002/aenm.202003446 (Advanced Energy Materials), Synopsis user manual, Matlab code to analyse and fit data</p> <p> </p>
Optical data for Cu2O, CuO and Cu in the 1 eV to ~ 100 eV energy range.
<p>Our optical data in (J. Phys.: Condensed Matter.24 (2012) 175002; DOI10.1088/0953-8984/24/17/175002) for Cu<sub>2</sub>O, CuO, and Cu in the 1 eV to ~ 100 eV energy range has received a strong and continued interest and we have had requests to share the data in digital form.</p> <p>Here we therefore make the data available for n and k in Fig. 8 of the paper in two Excel files.</p>
O2-O2, SO2, BrO, and IO differential slant column densities (dSCDs) measured by the University of Colorado Multi-AXis Differential Optical Absorption Spectroscopy (CU MAX-DOAS) instrument at Maido Observatory during April 29, 2018 and May 4, 2018
<p>Description: O<sub>2</sub>-O<sub>2</sub>, SO<sub>2</sub>, BrO, and IO differential slant column densities (dSCDs) measured by the University of Colorado Multi-AXis Differential Optical Absorption Spectroscopy (CU MAX-DOAS) instrument at Maido Observatory during April 29, 2018 and May 4, 2018.</p> <p>Instrument: University of Colorado Multi-AXis Differential Optical Absorption Spectroscopy (CU MAX-DOAS)<br> Instrument reference: Coburn et al. (2011); doi:10.5194/amt-4-2421-2011<br> Instrument contact: Christopher F. Lee (christopher.f.lee@colorado.edu)<br> Instrument PI: Rainer Volkamer (rainer.volkamer@colorado.edu)<br> <br> Measurement site: Maido Observatory, Reunion Island<br> Longitude: 55.384 degrees East<br> Latitude: 21.080 degrees South<br> Altitude: 2160 meters above sea level<br> Azimuth angle: Approximately 100 degrees clockwise from north<br> <br> The detection limit is defined as (2*Measured RMS) / (Maximum differential absorption cross section), where RMS = root-mean-square noise of spectral signal not accounted for by DOAS fit parameters [optical density units]. The maximum differential absorption cross sections used are 7.0e-21 [cm<sup>2</sup>] for SO<sub>2</sub>, 2.6e-17 [cm<sup>2</sup>] for BrO, and 3.5e-17 [cm<sup>2</sup>] for IO. Detection limits for SO<sub>2</sub> dSCDs, BrO dSCDs, and IO dSCDs are only reported during periods of significant SO<sub>2</sub> detection. BrO to SO<sub>2</sub> ratios are only reported during periods when both BrO dSCDs and SO<sub>2</sub> dSCDs are above the detection limit.</p> <p>Local time (RET) is UTC+4.<br> <br> Column 1: UTC start datetime (yyyy-mm-dd HH:MM:SS)<br> Column 2: UTC center datetime (yyyy-mm-dd HH:MM:SS)<br> Column 3: UTC stop datetime (yyyy-mm-dd HH:MM:SS)<br> Column 4: Elevation angle above the horizon (degrees)<br> Column 5: O<sub>2</sub>-O<sub>2</sub> dSCD [molec<sup>2</sup> cm<sup>-5</sup>]<br> Column 6: Spectral fit error for O<sub>2</sub>-O<sub>2</sub> dSCD [molec<sup>-2</sup> cm<sup>-5</sup>]<br> Column 7: SO<sub>2</sub> dSCD [molec cm<sup>-2</sup>]<br> Column 8: Spectral fit error for SO<sub>2</sub> dSCD [molec cm<sup>-2</sup>]<br> Column 9: Detection limit for SO<sub>2</sub> dSCD [molec cm<sup>-2</sup>]<br> Column 10: BrO dSCD [molec cm<sup>-2</sup>]<br> Column 11: Spectral fit error for BrO dSCD [molec cm<sup>-2</sup>]<br> Column 12: Detection limit for BrO dSCD [molec cm<sup>-2</sup>]<br> Column 13: IO dSCD [molec cm<sup>-2</sup>]<br> Column 14: Spectral fit error for IO dSCD [molec cm<sup>-2</sup>]<br> Column 15: Detection limit for IO dSCD [molec cm<sup>-2</sup>]<br> Column 16: Ratio of BrO dSCDs to SO<sub>2</sub> dSCDs<br> Column 17: Error in ratio of BrO dSCDs to SO<sub>2</sub> dSCDs</p>
Magnetic and sedimentological properties of siliciclastic cave sediments from the Peștera cu Oase Cave
<p>Magnetic and sedimentological properties of siliciclastic cave sediments from the Peștera cu Oase Cave (South Carpathians, Romania: 45.030009° N, 21.835320° E, 617 m). Further details can be found in Panaiotu et al. (2013).</p>
Accompanying data for paper Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments
<p>Links</p> <ul> <li>Data DOI: <a href="https://doi.org/10.5281/zenodo.7729452">10.5281/zenodo.7729452</a></li> <li>Article <em>Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments</em>, DOI: <a href="https://doi.org/10.46298/jtcam.8913">10.46298/jtcam.8913</a></li> </ul> <p>Authors</p> <ul> <li>Xiang Kong, <a href="mailto:xiang.kong@minesparis.psl.eu">xiang.kong@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0002-0835-3826">0000-0002-0835-3826</a></li> <li>Jianqiang Chen, Pratt & Whitney Canada, 1000 Boul. Marie-Victorin, Longueuil, QC J4G 1A1 Canada</li> <li>Yazid Madi, <a href="mailto:yazid.madi@minesparis.psl.eu">yazid.madi@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0002-3530-8668">0000-0002-3530-8668</a></li> <li>Djamel Missoum-Benziane, <a href="mailto:djamel.missoum-benziane@minesparis.psl.eu">djamel.missoum-benziane@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0002-9877-8261">0000-0002-9877-8261</a></li> <li>Jacques Besson, <a href="mailto:jacques.besson@minesparis.psl.eu">jacques.besson@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0003-1975-2408">0000-0003-1975-2408</a></li> <li>Thilo F. Morgeneyer, <a href="mailto:thilo.morgeneyer@minesparis.psl.eu">thilo.morgeneyer@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0002-0278-9565">0000-0002-0278-9565</a></li> </ul> <p>Language</p> <ul> <li>English</li> </ul> <p>Licence</p> <ul> <li>CC BY 4</li> </ul> <p>Contributions</p> <ul> <li>Conception and design of study, revising the manuscript critically for important intellectual content: TFM, JB.</li> <li>Acquisition of data: XK, JC, YM.</li> <li>Analysis and/or interpretation of data: XK, DMB, TFM.</li> </ul> <p>Associated article</p> <p>Xiang Kong, Jianqiang Chen, Yazid Madi, Djamel Missoum-Benziane, Jacques Besson, Thilo Morgeneyer "Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments" Journal of Theoretical, Computational and Applied Mechanics (JTCAM), March 13, 2023, DOI: <a href="https://doi.org/10.46298/jtcam.8913">10.46298/jtcam.8913</a>, HAL: <a href="https://hal.science/hal-03497233v3">hal-03497233v3</a></p> <p>Keywords</p> <ul> <li>plastic anisotropy</li> <li>mechanical testing</li> <li>non-proportional loading</li> <li>static loading</li> <li>ductile fracture</li> </ul> <p>Data collection: period and details</p> <ul> <li>Sept 2018 - June 2022, PhD period of Xiang Kong</li> <li>Mechanical experiments mainly were performed at the Centre des Materiaux in Evry, France, except the laminographic experiment which was performed at the ESRF ID19b in Grenoble, France, while numerical simulations were performed in <a href="http://www.zset-software.com/">Z-set/Zebulon</a> on the cluster at the Centre des Materiaux.</li> </ul> <p>Recommended citation line for the data</p> <p>Xiang Kong, Jianqiang Chen, Yazid Madi, Djamel Missoum-Benziane, Jacques Besson, & Thilo F. Morgeneyer. (2023). Accompanying data for paper Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments [Data set]. <a href="https://doi.org/10.5281/zenodo.7729452">10.5281/zenodo.7729452</a></p> <p>Funding sources</p> <ul> <li>ANR (Lambda project: ANR17-CE08-0051 and Alicandte project)</li> </ul> <p>Data structure and information</p> <ul> <li>The output data were used to produce Figures 6-9, 16-19, 23 from the associated article.</li> <li>Folder/files structure: <ul> <li><code>Experiments_Simulations_results/</code> <ul> <li><code>2198T3R/</code> - folder containing results for material AA2198T3R</li> <li><code>T3R_EXP_*.csv</code> - experimental data files</li> <li><code>T3R_SIM_*.csv</code> - simulation output</li> <li><code>README.md</code></li> <li><code>2198T8R/</code> - folder containing results for material AA2198T8R</li> <li><code>T8R_EXP_*.csv</code> - experimental data files</li> <li><code>T8R_SIM_*.csv</code> - simulation output</li> <li><code>README.md</code></li> <li><code>plot_T3R.py</code> - python script plotting results for material AA2198T3R</li> <li><code>plot_T8R.py</code> - python script plotting results for material AA2198T8R</li> <li><code>README.md</code></li> </ul> </li> <li><code>Simulation_input_files/</code> <ul> <li><code>2198T3R.mat,2198T8R.mat,steel.mat</code> - material properties files for Z-set/Zébulon</li> <li><code>postprocess.inp</code> - postprocessing input file for Z-set/Zébulon</li> <li><code>*.inp</code> - FE solver input files for Z-set/Zébulon</li> <li><code>post.py</code> - Python script to plot processed data</li> <li><code>README.md</code></li> <li><code>mesh_files/</code> <ul> <li><code>scale.inp</code> - Z-set/Zébulon mesh modifier</li> <li><code>ST_*.geof</code> - mesh files in Z-set/Zébulon format</li> <li><code>README.md</code></li> </ul> </li> </ul> </li> <li><code>.solidipes/</code> - curation tool metadata (not a part of the dataset)</li> </ul> </li> </ul>
Dataset for "An air-stable Cu(I) metal-organic framework for hydrogen storage"
<p>Dataset for "An air-stable Cu(I) metal-organic framework for hydrogen storage"</p> <p>Raw data set of the electronic structure calculations and inputs for the GCMC calculations relating to above publication.</p>
Indirect cytocompatibility and antibacterial properties of Zr-Cu-Ag metallic glass coatings
<p>In order to evaluate a possible antibacterial effect of the released ions, specimens (4x4 mm<sup>2</sup> square metallic glass coatings) were submerged with 7 ml of LB broth and maintained at 37°C inside a shaker (120 rpm) for 1, 5 days, following the same procedure exploited for the ions release evaluation. At each time point the supernatants were collected and used to cultivate bacteria at a defined concentration (1x10<sup>5</sup> cells/ml); bacteria cultivated with supernatants obtained from ions-free PBT were considered as control. The released ions killing activity was evaluated in terms of metabolic activity that was measured by the alamar blue assay as previously detailed. The same procedure with LB medium for hMSC was repeated. </p>
Preferential growth of intermetallics under temperature gradient at Cu–Sn interface during transient liquid phase bonding: insights from phase field simulation
<p>The data of (i) heats of transport values and (ii) coefficients for expressions of free energy density of phases used to generate the results in the paper titled "Preferential growth of intermetallics under temperature gradient at Cu–Sn interface during transient liquid phase bonding: insights from phase field simulation" are provided in this dataset.</p> <p><br> <strong>(i )</strong> The heats of transport (Q*) values of Cu and Sn species in LIQUID (Sn-rich), IMC (CU6SN5) and FCC (Cu-rich) phases at T=523.15 K (<strong>constant cold side temperature</strong>) are available in <em>heat_of_transport.csv</em> file. The numerical quantities in the Q* column of the file are expressed in the unit of kJ/mol. In this work, these Q* values have been independently validated to work for applied thermal gradients (<span class="math-tex">\(\nabla T\)</span><sub>a</sub>) of <strong>1.5E+5 K/m </strong>and <strong>1.5E+6 K/m </strong>Thus, the following meanings hold true for the column names of this data file:</p> <p><strong>phase</strong> - it is the name of a phase studies (e.g. Cu-rich FCC phase, Sn-rich LIQUID phase and Cu<sub>6</sub>Sn<sub>5</sub> IMC phase. the data type is string, and has no unit. </p> <p><strong>species</strong> - the element Cu and Sn of the binary Cu-Sn system. the data type is a string, and has no unit. </p> <p><strong>T (K)</strong> - it is the <strong>constant temperature (T = T<sub>cold</sub> = 523.15 K) at the bottom cold edge </strong> of a rectangular computational domain of width = 498 nm and height = 747 nm. the data is a float value, and has a unit of K. <strong> The information about cold edge temperature T<sub>cold</sub> being the constant reference temperature, and the hot edge temperature being T<sub>hot</sub>= T<sub>cold </sub>+ <span class="math-tex">\(\nabla T\)</span><sub>a</sub> , is a novelty of this work. </strong>While most of the other works are based upon hot edge being maintained at constant temperature by a thermal heater, this work presents the data with the temperature of cold edge maintained constant by a thermal cooler. </p> <p><strong>Q* (kJ/mol)</strong> - The data of heat of transport values expressed in terms of unit of kJ/mol can be either negative or positive. In this work, the values presented in the table have been validated for applied vertical thermal gradients of (<span class="math-tex">\(\nabla T\)</span><sub>a</sub>) of <strong>1.5E+5 </strong>and <strong>1.5E+6 K/m .</strong></p> <p> </p> <p><strong>(ii)</strong> The chemical free energy density of a phase i (i = LIQUID, IMC or FCC ) at 523.15 K has been expressed with the function f<sub>i </sub>= 0.5 * A<sub>i</sub> * (c<sub>i </sub>- c<sub>eq,i</sub>)<sup>2</sup> + B<sub>i</sub> * (c<sub>i </sub>- c<sub>eq,i</sub>) + C<sub>i</sub>; where c<sub>i</sub> is the mole-fraction (composition) of Sn in a phase. The data consisting of the numerical values of coefficients A<sub>i</sub>, B<sub>i</sub> and C<sub>i</sub> on the units of J/m<sup>3</sup> are provided in the file free_energy_density.csv. Besides these coefficients, the file also consists the quantified values of the equilibrium composition c<sub>eq,i </sub>at each phase. It is to be noted that c<sub>eq,i</sub> has no units.</p> <p> </p> <p> </p> <p> </p>
Hydrogen storage properties of Mn and Cu for Fe substitution in TiFe0.9 intermetallic compound - Raw Dataset related to publication
<p>Data type: Experimental measurements and Rietveld Refinement. Date format: .opj, .pcr, .dat (Software FullProf package outputs). Origin of the data: Experimental x-ray diffraction patterns, and kinetic measurements of hydrogen absorption. Data generated by a Bruker D8 Advance Bragg Brentano diffractometer using Cu-Kα radiation (λ=1.5418 Å), and a home-made Sieverts’ type apparatus from CNRS, ICMPE, Thiais, France. Software needed to plot the data: Origin. Software needed to analyse the data: FullProf package.</p>
Data from: Cu-Al mixed oxide-catalysed multicomponent synthesis of gluco- and allofuranose-linked 1,2,3-triazole derivatives
<p><span>A series of carbohydrate linked-1,2,3-triazole derivatives were synthetized in good yields from glucofuranose and allofuranose diacetonides using as key step a three-component 1,3-dipolar azide-alkyne cycloaddition catalyzed by a Cu-Al mixed oxide. In this multicomponent reaction, Cu-Al mixed oxide/sodium ascorbate system serves as highly reactive, recyclable and efficient heterogeneous catalyst for regioselective synthesis of 1,4-disubstituted 1,2,3-triazoles. The reported protocol has significant advantages over classical CuI/DIPEA or CuSO<sub>4</sub>/sodium ascorbate conditions in terms of efficiency and reduced synthetic complexity. In addition, the selective deprotection of synthesized di-<i>O</i>-isopropylidene derivatives was also carried out leading to the corresponding mono-<i>O</i>-isopropylidene products in moderate yields. Some of the synthesized triazole glycoconjugates were tested for their <em>in vitro</em> antimicrobial activity using the disk diffusion method against Gram-positive bacteria (<i>Staphylococcus aureus</i> and <i>Bacillus subtilis</i>), Gram-negative bacteria (<i>Escherichia coli</i> and <i>Pseudomonas aeruginosa</i>), as well as fungus (<i>Aspergillus niger</i>) and yeast (<i>Candida utilis</i>). The results revealed that these compounds exhibit moderate to good antimicrobial activity mainly against Gram-negative bacteria. </span></p>
Atom probe characterisation of segregation driven Cu and Mn–Ni–Si co-precipitation in neutron irradiated T91 tempered-martensitic steel - data
<p>Data for 'Atom probe characterisation of segregation driven Cu and Mn–Ni–Si co-precipitation in neutron irradiated T91 tempered-martensitic steel' paper (<a href="https://doi.org/10.1016/j.mtla.2020.100946">https://doi.org/10.1016/j.mtla.2020.100946</a>) </p>
ScienceDex guides
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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.