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293 results for “cuing”
Enhanced Catalytic Performance of a Single-Atom Cu on Mo2C toward the CO2/CO Hydrogenation to Methanol: A First-Principles Study_dataset
<p>Dataset of inputs and outputs concerning mechanisms, bader charge analysis, frequency analysis and model used in the study namely: Enhanced Catalytic Performance of a Single-Atom Cu on Mo2C toward the CO2/CO Hydrogenation to Methanol: A First-Principles Study published on <em>Cat. Sci. Technol. </em>(DOI: 10.1039/d4cy00703d).</p>
Facile synthesis of CuxS electrocatalysts for CO2 conversion into formate and study of relations between Cu and S with the selectivity
<p>Datasets for figures provided in the manuscript main text.</p>
Laboratory toxicity incubation experiments on phytoplankton using trace metals (Cu, Cd, Zn)
<p>This data compilation contains previously published toxicity threshold concentrations of copper, cadmium and zinc for different phytoplankton, as determined by incubation experiments. The data was recalculated to nmol/L for consistency, assuming the following molar masses of copper, cadmium and zinc as 63.546, 112.411 and 65.380 g/mol, respectively, and salinity as 1.025 kg/L. The growth medium is included in the dataset, as well as the environment where the phytoplankton in question may commonly occur (open or coastal ocean). </p>
Potentially toxic trace metal (Cu, Cd) threshold concentrations for phytoplankton at given open and coastal locations
<p>This data compilation contains previously published threshold concentrations of copper and cadmium of phytoplankton in open and coastal oceans. The data was recalculated to nmol/L for consistency, assuming the following molar masses of copper and cadmium as 63.546 and 112.411, respectively, and salinity as 1.025 kg/L. The temperature and salinity provided by the authors were also included, in case there is a desire for future users to utilise different conversion methods to recalculate original data. Only data with information on whether the authors measured the trace metal concentrations in open or coastal marine environments were included, along with the name of the phytoplankton. The oceans were divided into geographical sections, namely the Atlantic Ocean, Indian Ocean, Pacific Ocean and Southern Ocean, and subsequently further subdivided according to the information authors have given in their publications. In this context, several chemically diverse seas were included in geographical regions in order to limit the number of broad ocean regimes. Chemically diverse sub-regimens were, however, considered within each geographical grouping.</p>
Concentrations of trace metals (Cu, Cd, Zn) in the ocean at given open and coastal locations
<p>This data compilation contains previously published concentrations of copper, cadmium and zinc in open and coastal oceans of the world. The data was recalculated to nmol/L for consistency, assuming the following molar masses of copper, cadmium and zinc as 63.546, 112.411 and 65.380 g/mol, respectively, and salinity as 1.025 kg/L. The temperature and salinity provided by the authors were also included, in case there is a desire for future users to utilize different conversion methods to recalculate original data. Only data with information on whether the authors measured the trace metal concentrations in open or coastal marine environments were included. The oceans were divided into different geographical regions, namely the Atlantic Ocean, Pacific Ocean, Indian Ocean and Southern Ocean, and subsequently subdivided according to the information authors have given in their publications. In this context, several chemically diverse seas were included in geographical regions in order to limit the number of broad ocean regimes. Chemically diverse sub-regimens were, however, considered within each geographical grouping.</p>
BCC-Cu nanoparticles: from a transient to a stable allotrope by tuning size and reaction conditions
<p>Open data for "BCC-Cu nanoparticles: from a transient to a stable allotrope by tuning size and reaction conditions"</p>
X-ray Fluorescence Ghost Imaging - CuSn mask - Three Wires (Fe & Cu)
<p>X-ray Fluorescence Ghost Imaging (XRF-GI) dataset of three wires (one Fe, and two Cu) in a plastic capillary. The capillary contains trace elements like Zn, Zr, etc.</p> <p>The GI scan is presented in the following article <a title="Synchrotron-based x ray fluorescence ghost imaging" href="https://doi.org/10.1364/OL.499046">10.1364/OL.499046</a>. A total of 896 GI realizations were taken, organized into 16 vertical translations and 56 horizontal translations of the structuring element (CuSn mask).<br>The dataset contains both the sample transmission images and the masks plus sample transmission images. No images of the masks are provided (they need to be computed).</p> <p>The data is organized in an HDF5 file, under the following structure:</p> <pre><code>dataset_CuSn-mask_3wires.h5 │ ├data │ ├flat_panel │ │ ├dark [float32: 16 × 170 × 350] │ │ ├empty_beam [float32: 170 × 350] │ │ ├sample [float32: 16 × 170 × 350] │ │ └sample_and_masks [float32: 16 × 56 × 170 × 350] │ └xrf [float32: 16 × 56 × 4096] │ └metadata └xrf ├bias_keV [float64: scalar] ├gain_keV [float64: scalar] └ranges ├Ca [int64: 2] ├Cu [int64: 2] ├Fe [int64: 2] ├Si [int64: 2] ├Ti [int64: 2] ├Zn [int64: 2] └Zr [int64: 2] </code></pre> <p>The meaning of the paths is:</p> <ul> <li><code>/data/xrf</code> contains the XRF spectra for each GI realization</li> <li><code>/data/flat_panel/dark</code> contains the dark images of each scan line (no beam)</li> <li><code>/data/flat_panel/empty_beam</code> contains the empty beam (no sample & no masks) intensity distribution</li> <li><code>/data/flat_panel/sample</code> contains the transmission images of the sample at each scan line</li> <li><code>/data/flat_panel/sample</code>_and_masks contains the transmission images of the sample and masks at each GI realization</li> <li><code>/metadata/xrf/bias_keV</code> contains the bias in keV of the XRF spectrum</li> <li><code>/metadata/xrf/gain_keV</code> contains the gain in keV of each XRF energy bin</li> <li><code>/metadata/xrf/ranges/</code> contains the bin ranges for interesting K<sub>alpha</sub> elemental emission lines in the XRF spectrum</li> </ul> <p>For further information we refer to the associated publication.</p> <p>The data can be processed with structured illumination routines of the code at: <a href="https://github.com/cicwi/PyCorrectedEmissionCT">https://github.com/cicwi/PyCorrectedEmissionCT</a>.</p>
Dataset for "A general purpose potential for glassy and crystalline phases of Cu-Zr alloys based on the ACE formalism"
<p>This dataset was used to fit a general purpose machine learning interatomic potential for the Cu-Zr system. It supports the paper "A general purpose potential for glassy and crystalline phases of Cu-Zr alloys based on the ACE formalism".</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>
N2-sorption and catalytic results of doped Cu-catalysts for glycerol hydrogenolysis
<p>This repository includes experimental data associated with the following publication: A. Bouriakova et al., "Dopant induced stabilization of alumina supported copper – impact on the catalytic performance in the hydrogenolysis of glycerol to 1,2-propanediol", submitted to Catalysis Communications in April 2020</p> <p> </p> <p>In this work, five catalysts supported on γ-Al<sub>2</sub>O<sub>3</sub> were studied, i.e. one bare Cu and four doped-Cu catalysts. The catalysts were prepared via sequential impregnation. The nominal dopant loading was 1wt%, for the Cu a nominal value of 10wt% was selected:</p> <p>- 10wt% Cu/-Al2O3, indicated as Cu</p> <p>- 1wt%Ba-10wt% Cu/-Al2O3, indicated as Ba-Cu<br> - 1wt%Ce-10wt% Cu/-Al2O3, indicated as Ce-Cu<br> - 1wt%Cs-10wt% Cu/-Al2O3, indicated as Cs-Cu<br> - 1wt%La-10wt% Cu/-Al2O3, indicated as La-Cu</p> <p> </p> <p>The catalysts were investigated for 68 h for continuous flow pure glycerol hydrogenolysis in a trickle bed regime at 473 K, 7.5 MPa, 135 kg<sub>cat </sub>s mol<sup>-1</sup><sub>glycerol </sub>and 7 mol<sub>H2</sub> mol<sup>-1</sup><sub>glycerol</sub>, and compared for glycerol conversion, 1,2-propanediol selectivity and stability.</p> <p>The data file contains the glycerol conversion and selectivities over time for the studied catalysts, in combination with N<sub>2</sub>-sorption data of those catalysts. In addition, an overview of literature data on glycerol hydrogenolysis is given (Fig 1 in the manuscript).</p>
In-situ study of creep in Sn-3Ag-0.5Cu solder
<p>The data released here is for the paper "In-situ study of creep in Sn-3Ag-0.5Cu solder". DOI: <a href="https://doi.org/10.1016/j.actamat.2020.06.013">10.1016/j.actamat.2020.06.013</a></p> <p>Tianhong Gu<sup>1</sup>*, Vivian S. Tong<sup>1,2</sup>, Christopher M. Gourlay<sup>1</sup>, and T. Ben Britton<sup>1</sup></p> <ol> <li>Department of Materials, Imperial College London, SW7 2AZ. UK</li> <li>Now at: National Physical Laboratory, Hampton Rd, Teddington TW11 0LW, UK</li> </ol> <p>*Corresponding author: <a href="mailto:t.gu15@imperial.ac.uk">t.gu15@imperial.ac.uk</a>, +44 20 7594 2634</p> <p>*.bcf = Bruker BCF data for full EBSD map to plot EBSD maps<br> *.csv = spreadsheet of graphical data for plots in Fig2 (creep curves), Fig10 and Fig11 (Schmid factors and slip systems)<br> *.tif = images used to to build up Figures (the figures are presented in the powerpoint)</p> <p>The data bundle was prepared by Tianhong Gu</p>
Nanosized Cu-SSZ-13 and Its Application in NH3-SCR. Dataset related to publication. Version: 1
<ul> <li><strong>Data type</strong>: tabular data, experimental measurements.</li> <li><strong>Data format</strong>: plain text (.txt), Bruker data (.spc and .par), Origin data (.opju)</li> <li><strong>Origin of the data</strong>: <ul> <li>Experimental spectroscopic measurements</li> <li>Computer modelling</li> </ul> </li> <li>The data were generated by a Bruker EMXmicro X-band spectrometer purchased on 2008</li> <li><strong>Information on data collection and elaboration</strong>: After collecting the data from the spectrometer, they were processed and analysed by using the Easyspin toolbox. Therefore the plain text data obtained from Easyspin were elaborated on Origin software.</li> <li><strong>Availability of the tools used to elaborate the data:</strong> Easyspin (5.2.28) and Origin 2019 software are required to read part of the data. The former is an open-source MATLAB toolbox (link to download it: http://www.easyspin.org/). The latter requires a license. The link for acquiring the Origin license is: https://www.originlab.com/index.aspx?go=Purchase/PricingAndOrdering&pid=1780 </li> </ul>
Raw X-Ray CT data of CFC-Cu_GS laser flash coupon
<p>Raw X-Ray CT data for CFC-Cu_GS laser flash coupon. The coupon was manufactured at Politecnico di Torino, Italy (Dr Valentina Casalegno) and X-ray tomography scanning was performed at the Manchester X-ray Imaging Facility, University of Manchester, UK (Dr Llion Evans).</p> <p>This data was used for the publications:</p> <p> - Evans, Ll.M. et al. "Thermal characterisation of ceramic/metal joining techniques for fusion applications using X-ray tomography", Fusion Engineering and Design, Volume 89, Issue 6, June 2014, Pages 826-836, http://dx.doi.org/10.1016/j.fusengdes.2014.05.002.</p> <p> - Evans, Ll.M. et al. "Transient Thermal Finite Element Analysis of CFC-Cu ITER Monoblock Using X-ray Tomography Data", Fusion Engineering and Design 2015, DOI: 10.1016/j.fusengdes.2015.04.048.</p>
TEM images of Cu decorated carbon nanotubes
<p>Atlas of TEM images for proprietary copper-decorated carbon nanotubes.</p>
BIR-MicroED: selected area electron diffraction datasets from static microcrystals (biotin, Cu(II)-serine, Zn(II)-histidine) at 200 keV
<p>This deposition contains a series zip files each containing electron diffraction datasets in .mrc file format. Each folder collects data acquired from crystals of a particular compound under the same conditions (electron energy, temperature). Zip files are named according to the format: <em>"CompoundName</em>_<em>AcceleratingVoltage</em>_<em>Temperature</em>.zip"</p> <p>Diffraction datasets within each folder are named according to the format: <em>CompoundName</em>_static_diffraction_<em>AcceleratingVoltage</em>_<em>Temperature</em>_series#.mrc</p>
Dataset for publication:Dataset for publication: "Application of shot peening to improve fatigue properties via enhancement of precipitation response in high-strength Al-Cu-Li alloys"
<p>The dataset contains a set of experimental data used in preparation for the manuscript "Application of shot peening to improve fatigue properties via enhancement of precipitation response in high-strength Al-Cu-Li alloys." The dataset contains results of fatigue tests, residual stress measurements, nanoindentation measurements, and surface roughness data.</p>
Raw and analysed data for contribution paper "Investigation of deoxidation mechanisms on Cu surfaces in a dielectric barrier discharge plasma"
<p><strong>Abstract</strong><br> In this study, we present a laboratory setup for the deoxidation of 10 × 10 mm2 samples via dielectric barrier discharge (DBD) plasma and we show results for the deoxidation of copper in an Ar/H2 atmosphere at 1000 hPa. The effect of combined heat and DBD plasma treatment was investigated by heating surfaces up to 250 °C during plasma operation. All results were compared for surfaces before and after plasma treatment. The chemical structure of surfaces was studied using X-ray Photoelectron Spectroscopy (XPS) and the morphology was measured via Confocal Laser Scanning Microscopy (CLSM). Additionally, the properties of the plasma during the reduction of copper oxides were investigated via Optical Emission Spectroscopy (OES).</p>
Influence of ion mobility on the redox and catalytic properties of Cu ions in zeolites
<ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements and related elaboration from Figure 7</li> <li>Files are with filename extensions: <strong>txt</strong></li> <li>Information on <strong>origin of the data</strong>:</li> <li>Normalized Cu K-edge XANES of a Cu-CHA sample (Si/Al = 5, Cu/Al = 0.3), collected during heating from RT to 350 °C under a He flow. In situ data were collected at the BM23 beamline of the European Synchrotron Radiation Facility (ESRF, Grenoble, France) in a Microtomo reactor cell</li> <li>Cu L<sub>3</sub>-edge TEY NEXAFS spectra of of a Cu-CHA sample (Si/Al = 5, Cu/Al = 0.3), collected during heating from RT to 350 °C under a He flow. In situ data were collected at the APE-HE beamline of Elettra Sincrotrone Trieste (Basovizza, Italy) in a dedicated ambient pressure cell.</li> <li><strong>Information on</strong>:</li> <li>specialized abbreviations: <strong>XANES</strong> – X-ray absorption near edge structure, <strong>TEY</strong> - Total Electron Yield, <strong>NEXAFS</strong> – near edge X-ray absorption fine structure, <strong>CHA</strong> - chabazite</li> </ul>
Data set for the journal article: Tandem electrocatalytic CO2 reduction with Fe-porphyrins and Cu nanocubes enhances ethylene production
<p>Copper-based tandem schemes have emerged as promising strategies to promote the formation<br> of multi-carbon products of the electrocatalytic CO2 reduction reaction. In such approaches,<br> the CO-generating component of the tandem catalyst increases the local concentration of CO<br> and thereby enhances the intrinsic carbon-carbon (C-C) coupling on copper. However, the<br> optimal characteristics of the CO-generating catalyst for maximizing eventual C2 production<br> are currently unknown. In this work, we developed tunable tandem catalysts comprising iron<br> porphyrin (Fe-Por), as the CO-generating component, and Cu nanocubes (Cucub) to understand<br> how the turnover frequency for CO (TOFCO) of the molecular catalysts impacts C-C coupling<br> on the Cu surface. First, we tuned the TOFCO of the Fe-Por by varying the number of orbitals<br> involved in the π-system. Then, by coupling these molecular catalysts with the Cucub, we<br> assessed the current densities and faradaic efficiencies, discovering that all of the designed Fe-<br> Por boost ethylene production. The most efficient Cucub/Fe-Por tandem catalyst was the one<br> including the Fe-Por with the highest TOFCO and exhibited a nearly 22-fold increase in the<br> ethylene selectivity and 100 mV positive shift of the onset potential with respect to the pristine<br> Cucub. These results reveal that coupling the TOFCO tunability of molecular catalysts along with<br> copper nanocatalysts opens up new possibilities towards the development of Cu-based catalysts<br> with enhanced selectivity for multi-carbon product generation at low overpotential.</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
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.