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1,713 results for “Preparation”
Dataset of "Preparation of novel lithiated high-entropy spinel type oxyhalides and their electrochemical performance in Li-ion batteries "
<p>Electrochemical measurements carried out using the 2032-coin cells with the Li-metal anode have shown voltammetric charge capacities of 450, 694, and 593 mAh g-1 for HEOFe, LiHEOFeCl, and LiHEOFeF, respectively.<br>Galvanostatic chronopotentiometry at 1 C rate confirmed high initial charge capacities for all the samples but galvanostatic curves exhibited a capacity decay over 100 charging/discharging cycles. Raman spectroelectrochemistry measured on the LiHEOFeF sample proved the reversibility of the electrochemical process for initial charging/discharging cycles. Electrochemical impedance spectroscopy revealed the lowest initial charge transfer resistance for LiHEOFeCl and its gradual decrease both for LiHEOFeCl and LiHEOFeF during galvanostatic cycling, whereas the charge transfer resistance of HEOFe slightly increases over 100 galvanostatic cycles due to different mechanism of the electrochemical reduction. </p>
Dataset of "Characterization of Silicon-based Fibers Prepared by Electrospinning for Potential Li-ion Battery Anodes"
<p>The rapid growth of electric vehicles (EVs) is driven by advances in lithium-ion batteries (LIBs), particularly in anode materials. Graphite electrodes, widely used for their high porosity, conductivity, low weight, and cost-effectiveness, face competition from monocrystalline silicon. Silicon anodes offer higher capacity and energy density, and they are safer because of their nonflammable nature. However, silicon's tendency to expand and contract during cycling presents challenges. This study explores the use of silicon nano- and microfibers to enhance battery stability, addressing these issues effectively.<br>Monocrystalline silicon particles, obtained through milling and sieving, were used as the active component in the nanofibers. These particles, combined with organic precursors (PVP and TEOS), were processed using electrospinning to form fibers. The fibers were then annealed at 650 °C to remove the polymeric PVP component. <br>The results provide valuable insights into the properties and interactions of the silicon nanofibers, highlighting their potential in advanced energy storage devices. </p>
beak_cutting_preparation_5
This is the process of making a carafe Bontemps. The step depicted is called "beak_cutting_preparation"(from the Mingei project).
beak_cutting_preparation_6
This is the process of making a carafe Bontemps. The step depicted is called "beak_cutting_preparation"(from the Mingei project).
beak_cutting_preparation_2
This is the process of making a carafe Bontemps. The step depicted is called "beak_cutting_preparation"(from the Mingei project).
beak_cutting_preparation_4
This is the process of making a carafe Bontemps. The step depicted is called "beak_cutting_preparation"(from the Mingei project).
beak_cutting_preparation_3
This is the process of making a carafe Bontemps. The step depicted is called "beak_cutting_preparation"(from the Mingei project).
beak_cutting_preparation_1
This is the process of making a carafe Bontemps. The step depicted is called "beak_cutting_preparation"(from the Mingei project).
cord_preparation_7
This is the process of making a carafe Bontemps. The step depicted is called "cord_preparation"(from the Mingei project).
cord_preparation_3
This is the process of making a carafe Bontemps. The step depicted is called "cord_preparation"(from the Mingei project).
cord_preparation_4
This is the process of making a carafe Bontemps. The step depicted is called "cord_preparation"(from the Mingei project).
cord_preparation_2
This is the process of making a carafe Bontemps. The step depicted is called "cord_preparation"(from the Mingei project).
cord_preparation_6
This is the process of making a carafe Bontemps. The step depicted is called "cord_preparation"(from the Mingei project).
cord_preparation_5
This is the process of making a carafe Bontemps. The step depicted is called "cord_preparation"(from the Mingei project).
cord_preparation_1
This is the process of making a carafe Bontemps. The step depicted is called "cord_preparation"(from the Mingei project).
Characterization of TiO2/Fe2O3 nanocomposites prepared via impregnation-calcination method
<p>The link contains XRD, SEM-EDX, UV-DRS, PL, Electrochemical measurements of the prepared TiO<sub>2</sub>/Fe<sub>2</sub>O<sub>3</sub> photocatalyst</p>
Pitfalls in Sample Preparation of Metalloproteins for Low-Temperature EPR: The Example of Alkaline Myoglobin
<p><strong>Description of the dataset: </strong></p> <ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements (EPR and UV-vis), computer simulations and data analysis</li> <li>Files are with filename extensions: <strong>DSC</strong>, <strong>DTA</strong>, <strong>m</strong>, <strong>mat</strong>, <strong>ods</strong>,<strong> tif</strong></li> <li>Information on <strong>origin of the data</strong>: <ul> <li>EPR spectroscopic measurements have filename extensions <strong>DSC</strong> and <strong>DTA</strong></li> <li>EPR spectroscopic simulation and analyses with filename extension <strong>m</strong></li> <li>UV-vis spectroscopic measurements have filename extensions <strong>ods</strong></li> <li>Processed data ready for simulation/figure preparation have filename extension <strong>mat </strong>(both for EPR and UV-vis)</li> <li>High-quality figures published in main text and supplementary are provided as <strong>tif</strong> files</li> </ul> </li> <li>CW-EPR measurements were generated with a Bruker ELEXSYS E580 X-band spectrometer equipped either with an Oxford CF935 continuous flow cryostat and a Bruker ER4118 SPT-N1 resonator or with an Oxford ESR 900 continuous-flow cryostat and a Bruker ER 4122 SHQ resonator.</li> <li>Pulse EPR experiments were performed with an Oxford CF935 continuous flow cryostat and a Bruker ER4118 SPT-N1 resonator.</li> <li>Simulations of EPR spectra and fitting were performed with the Easyspin software (v. 6.0.0-dev.26) implemented in Matlab (MathWorks, R2020b)</li> <li><strong>The dataset</strong>Files with extension <strong>m</strong> normally recall files with extension <strong>mat</strong> which should be stored in the same working folder <ul> <li>Files in <strong>PARACAT_WP3_20210929_01_CW</strong> folder include subfolders organised by topic: <ul> <li>“Alternative cryoprotectants” contains: ready-to-plot / ready-to-simulate data in <strong>mat</strong> format; simulation scripts in <strong>m</strong> format.</li> <li>“Glycerol effects - different buffers” contains: ready-to-plot / ready-to-simulate data in <strong>mat</strong> format; simulation scripts in <strong>m</strong> format.</li> </ul> </li> <li>Files in <strong>PARACAT_WP3_20210929_02_PULSE</strong> folder include pulse EPR spectroscopic measurements; original data are in <strong>DSC</strong> and <strong>DTA</strong> formats; processed data and fitting are in <strong>m</strong> format. Files in <strong>m</strong> format recall original data files, therefore they should be stored in the same working folder.</li> <li>Files in <strong>PARACAT_WP3_20210929_03_UV-VIS</strong> folder include UV-vis spectroscopic measurements; original and basic processed data are in <strong>ods</strong> format; ready-to-plot data are in <strong>mat</strong> format; scripts for figure preparation are in <strong>m</strong> format.</li> <li>Files in <strong>PARACAT_WP3_20210929_04_FIGURES</strong> folder include high-quality figures published in main text and supplementary, provided as <strong>tif</strong> files</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>Information on</strong>: <ul> <li><strong>Specialized abbreviations:</strong> <strong>EPR</strong> – Electron Paramagnetic Resonance, <strong>CW</strong> – Continuous Wave EPR, <strong><em>T<sub>m</sub></em></strong> or <strong><em>T<sub>2</sub></em></strong>– phase memory time, <strong>CAPS</strong> - N-cyclohexyl-3-aminopropanesulfonic acid, <strong>CHES</strong> - N-Cyclohexyl-2-aminoethanesulfonic acid</li> <li><strong>Definitions of variables:</strong> magnetic field (<strong>mT</strong> - milliTesla), pH (pH units), UV-vis absorbance intensity (<strong>A.U.</strong> – arbitrary units), EPR intensity (<strong>A.U.</strong> – arbitrary units), Hahn Echo Intensity (<strong>A.U.</strong> – arbitrary units), <em>g</em>-values (adimensional)</li> <li><strong>Units of measurements:</strong> <ul> <li>Concentration: <strong>mM</strong> (millimolar), <strong>µM</strong> (micromolar), <strong>% v/v</strong> (percentage volume/volume)</li> <li>Volume: <strong>mL</strong> (milliliters), <strong>µL</strong> (microliters)</li> <li>Wavelength: <strong>nm</strong> (nanometers)</li> <li>Temperature: <strong>°C</strong> (Celsius degrees), <strong>K</strong> (Kelvin degrees)</li> <li>Time: <strong>ns</strong> (nanoseconds)</li> <li>Frequency: <strong>GHz</strong> (gigahertz)</li> <li>Power: <strong>mW</strong> (milliwatt)</li> </ul> </li> </ul> </li> </ul>
Preparation of dissolved organic carbon (DOC) leachates from permafrost soils collected from the North Slope of Alaska in the summers of 2018 and 2022
Dissolved organic carbon (DOC) was leached from permafrost soils collected from the frozen permafrost layer at four sites underlying tussock tundra or wet sedge tundra vegetation and from both undisturbed soil and a thermokarst failure on the North Slope of Alaska during the summers of 2018 and 2022.
Characterisation data of Nd- and Ce-doped uranium dioxide microspheres prepared via internal gelation
<p>The preparation of Nd- and Ce-doped UO<sub>2</sub> microspheres was studied, applying the sol-gel method via internal gelation (IG). Un-doped, and <em>Ln</em>-doped ammonium diuranate (ADU) gels with <em>Ln</em> molar metal fractions up to 30 mol% and an increment of 5 mol% were prepared (<em>Ln</em> = Nd, Ce). The dried gels were characterised using optical microscopy (OM) and X-ray powder diffraction (XRD), additionally thermogravimetric differential scanning calorimetry (TG-DSC) measurements were carried out on un-doped microspheres and particles containing 10 mol% dopant. The ADU matrix of the dried particles is converted during a thermal treatment via U<sub>3</sub>O<sub>8</sub> into a UO<sub>2</sub> matrix, which was carried out by a calcination in air (900 °C, 1 h) and a sintering in a mixture of Ar:H<sub>2</sub> and Ar:O<sub>2</sub>, corresponding to an oxygen potential of about −420 kJ mol<sup>−1</sup> , at 1600 °C for 10 h. Calcined intermediates of the un-doped particle batch, and particles each doped with 10 mol% Nd and Ce, were analysed by XRD. Sintered products of all compositions were also characterised by XRD, and additionally via scanning electron microscopy (SEM). The micropraphs, XRD patterns, TG-DSC results and all data associated with the particle fabrication and characterisation, are part of this dataset.</p>
Dense inner C-S-H of 28 d hydrated alite, prepared using BIB at 20 °C
<p>These are images of 28 days hydtrated alite (M3 polymorph, Vustah, Czech Republic). The preparation of the specimens will be described in the corresponding Paper "<em>Argon Broad Ion beam sectioning and high resolution scanning electron microscopy imaging of hydrated alite</em>" published in Cement and Concrete Research.</p> <p>This dataset shows SEM images of the specimens prepared at <strong>20 °C</strong> in a tripple Argon Broad Ion Beam device.</p> <p>For all images described in the supplementary data of the paper, thee corresponding pore segmentation and ignored area is provided as well. This excludes the file "C3S 28d BIB 6KV 6h_019.tif".</p> <p>All files were acquired usng a Nova Nano SEM 230, FEI in SE mode at 2 KV and nearly the same magnification.</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)
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.