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2,118 results for “Metal”
Data for "Evaluating Metal-Organic Precursors for Focused Ion Beam Induced Deposition through Solid-Layer Decomposition Analysis"
<p>Experimental Data for "Evaluating Metal-Organic Precursors for Focused Ion Beam Induced Deposition through Solid-Layer Decomposition Analysis"</p> <p> </p> <p> </p> <p>The collected experimental data for tested four different metal-organic precursor layers:</p> <p> </p> <p>1 - [Cu<sub>2</sub>(μ-O<sub>2</sub>C<sup>t</sup>Bu)<sub>4]n</sub></p> <p>2 - [Cu<sub>2</sub>(NH<sub>2</sub>(NH=)CC<sub>2</sub>F<sub>5</sub>)<sub>2</sub>(µ-O<sub>2</sub>CC<sub>2</sub>F<sub>5</sub>)<sub>4</sub>]</p> <p>3 - [Cu<sub>2</sub>(µ-O<sub>2</sub>CC<sub>2</sub>F<sub>5</sub>)<sub>4</sub>]</p> <p>4 - [Ag<sub>2</sub>(μ-O<sub>2</sub>CC<sub>2</sub>F<sub>5</sub>)<sub>2</sub>]</p> <p> </p> <p>BSE.zip - includes SEM BSE images of the precursor layers</p> <p>EDX.zip - inludes SEM EDX results of the precursor layers together with exemplary python jupyter notebook to analyze EDX hyperspectral data</p>
Complexation and Disproportionation of Group 4 Metal (Alkoxy) Halides with Phosphine Oxides
<p>Data of the figures in the publication <strong>"Complexation and Disproportionation of Group 4 Metal (Alkoxy) Halides with Phosphine Oxides" </strong>published in Dalton Transactions: <a href="https://doi.org/10.1039/D4DT01299B">https://doi.org/10.1039/D4DT01299B</a><strong><br></strong></p> <p>The <em>.pxp</em> documents contain the experimental data of the figures in the manuscript and SI and they can be opened/edited with the software IGOR Pro 6.3 or higher. PowerPoint files are available for Figures 1 and S1, and ChemDraw files for Figures 4 and S12.</p>
Raw data article "Surviving adversity: exploring the presence of Lunularia cruciata (L.) Dum. on metal-polluted mining waste"
<p>This is the raw data of the article "Surviving adversity: exploring the presence of Lunularia cruciata (L.) Dum. on metal-polluted mining waste".</p>
Data set for "Nucleation Mechanisms of Electrodeposited Magnesium on Metal Substrates"
<p>This is the experimental raw data set associated with the following publication: M. Löw, F. Maroni, S. Zaubitzer, S. Dongmo, M. Marinaro, <em><span><span>Nucleation Mechanisms of Electrodeposited Magnesium on</span> <span>Metal Substrates, Batteries & Supercaps <span>2024</span>, e202400250. DOI: </span></span></em><a href="https://doi.org/10.1002/batt.202400250">10.1002/batt.202400250</a></p> <p> </p>
Use of Fly Ash for Heavy Metals Removal from Wastewater A Ftir Spectroscopy Study
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Geology and the Potential of Soil Contamination Due to Heavy Metals Around Banyuroto Landfill, Kulon Progo
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Dry reforming of methane over gallium-based supported catalytically active liquid metal solutions
Open the record for dataset details and reuse information.
Top-down vs. bottom-up synthesis of Ga based supported catalytically active liquid metal solutions (SCALMS) for the dehydrogenation of isobutane
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Supporting information file of paper [Crystallographic and theoretical study of the atypical distorted octahedral geometry of the metal chromophore of zinc(II) bis((1R,2R)-1,2-diaminocyclohexane) dinitrate (Journal of Molecular Structure 1248 (2022) 131488)]
<p>Supporting information file of third revision of an already accepted and published paper [Crystallographic and theoretical study of the atypical distorted<br>octahedral geometry of the metal chromophore of zinc(II) bis((1R,2R)-1,2-diaminocyclohexane) dinitrate (Journal of Molecular Structure 1248 (2022) 131488)].</p>
Raw Data for Article "Metal-Free Introduction of Primary Sulfonamide into Electron Rich Aromatics"
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Multi-Scale Computational Design of Metal-Organic Frameworks for Carbon Capture Using Machine Learning and Multi-Objective Optimization
<p>This repository contains CIF files for metal-organic frameworks and Grand canonical Monte Carlo (GCMC) simulation results for the article <em>Multi-Scale Computational Design of Metal-Organic Frameworks for Carbon Capture Using Machine Learning and Multi-Objective Optimization</em> by Zijun Deng and Lev Sarkisov.</p>
Three-dimensional atomic interface between metal and oxide in Zr-ZrO2 nanoparticles
<p>Metal-oxide interfaces with poor coherency have unique properties comparing to the bulk materials and offer broad applications in the fields of heterogeneous catalysis, battery, and electronics. However, current understanding of the three-dimensional (3D) atomic metal-oxide interfaces remains limited because of their inherent structural complexity and limitations of conventional two-dimensional imaging techniques. Here, we determine the 3D atomic structure of metal-oxide interfaces in zirconium-zirconia nanoparticles using atomic-resolution electron tomography. We quantitatively analyze the atomic concentration and the degree of oxidation, and find the coherency and translational symmetry of the interfaces are broken. Atoms at the interface have low structural ordering, low coordination and elongated bond length. Moreover, we observe porous structures such as Zr vacancies and nano-pores and investigate their distribution. Our findings provide a clear 3D atomic picture of metal-oxide interface with direct experimental evidence. We anticipate this work could encourage future studies on fundamental problems of oxides such as interfacial structures in semiconductor and atomic motion during oxidation process.</p>
Three-dimensional atomic interface between metal and oxide in Zr-ZrO2 nanoparticles
<p>Metal-oxide interfaces with poor coherency have unique properties comparing to the bulk materials and offer broad applications in the fields of heterogeneous catalysis, battery, and electronics. However, current understanding of the three-dimensional (3D) atomic metal-oxide interfaces remains limited because of their inherent structural complexity and limitations of conventional two-dimensional imaging techniques. Here, we determine the 3D atomic structure of metal-oxide interfaces in zirconium-zirconia nanoparticles using atomic-resolution electron tomography. We quantitatively analyze the atomic concentration and the degree of oxidation, and find the coherency and translational symmetry of the interfaces are broken. Moreover, we observe porous structures such as Zr vacancies and nano-pores and investigate their distribution. Our findings provide a clear 3D atomic picture of metal-oxide interface with direct experimental evidence. We anticipate this work could encourage future studies on fundamental problems of oxides such as interfacial structures in semiconductor and atomic motion during oxidation process.</p>
Emissivity measurements on noble metals (dataset)
<p>Dataset acquired in collaboration between the University of the Basque Country UPV/EHU and the Physikalisch-Technische Bundesanstalt (PTB Berlin).</p>
Band gaps and a few properties more of metals, metal oxides and carbon materials
<p>We achieved to create a database of electronic structure properties of bulk materials (metals, metal oxides, carbon) with a good relative accuracy compared to experimental values and minimal computational cost using density functional theory and semi-empirical quantum mechanical methods.</p>
Gaussian approximation of dispersion potentials for efficient featurization and machine-learning predictions of metal–organic frameworks
<p>Scripts and data for the publication</p>
Fig. 4 in Strong phylogenetic constraint on transition metal incorporation in the mandibles of the hyper-diverse Hymenoptera (Insecta)
Fig. 4 Phylogenetic tree mapping the larval development site (LDS) (0 = unconcealed, 1 = concealed) for each taxon analyzed in this study. The circle with a picture of a species developing in a concealed site (the apoid wasp Stizus continuus (Crabronidae), emerging from its nest) marks the ancestral state for Apocrita, while the circle with a question mark indicate the unclear ancestral state for Hymenoptera. The histogram in the lower part of the figure show the distribution of cases for a given rank of Zn, for species with either LDS type
Fig. 2 in Strong phylogenetic constraint on transition metal incorporation in the mandibles of the hyper-diverse Hymenoptera (Insecta)
Fig. 2 Phylogenetic tree mapping the ranked Zn % for each taxon analyzed in this study. Zn was ranked as 0 = <0.1 wt%; 1 = 0.1– 1.0 wt%; 2 = 1.0–5.0 wt%; 3 = 5.0–10.0 wt%; and 4 => 10 wt%. Node 1 (in violet) identifies Zn enrichment as ancestral state for Apocrita (proportional likelihoods for Zn %: 0 = 0.0015, 1 = 0.0015, 2 = 0.121, 3 = 0.9785, 4 = 0.0062). Nodes 2 (Proctotrupidae + Pelecinidae) and 3 (Agaonidae) (in pink) identify losses of Zn enrichment in non-Aculeata (proportional likelihoods for Zn %: node 2: 0 = 0.9390, 1 = 0.0036, 2 = 0.0483, 3 = 0.0052, 4 = 0.0037; node 3: 0 = 0.9454, 1 = 0.0038, 2 = 0.0389, 3 = 0.0050, 4 = 0.0068). Nodes 4 (Chrysidoidea), 5 (Formicidae), 6 (Mutillidae + Sapygidae), and 7 (Ampulicidae) (in violet) identify re-acquisitions of Zn enrichment within Aculeata (proportional likelihoods for Zn %: node 4: 0 = 0.0597, 1 = 0.0112, 2 = 0.3890, 3 = 0.5156, 4 = 0.0244; node 5: 0 = 0.2138, 1 = 0.0173, 2 = 0.0174, 3 = 0.2796, 4 = 0.4717; node 6: 0 = 0.3439, 1 = 0.0233, 2 = 0.1286, 3 = 0.1291, 4 = 0.3748; node 7: 4 = 1)
Fig. 1 in Strong phylogenetic constraint on transition metal incorporation in the mandibles of the hyper-diverse Hymenoptera (Insecta)
Fig. 1 SEM pictures of mandibles and representative spectra (on base-10 logarithmic scale) from X-ray energy-dispersive analysis of mandible teeth, generated with a primary electron beam energy of 20 keV. a, b Camponotus cruentatus (Formicidae); c, d Ibalia rufipes (Ibaliidae); e, f Isodontia mexicana (Sphecidae); g, h Argidae sp. Note that Zn occurs only in a and b, and Mn occurs only in b. Squares in the SEM pictures indicate the area of the mandibles where the EDS point analysis was done. Peaks for transition metals (Zn and Mn), for Cl (the halogen co-associated with Zn), and for the basic elements of the cuticle (C and O) are highlighted
FIGURES 11–18 in Aglaotilla, a new genus of Australian Mutillidae (Hymenoptera) with metallic coloration
FIGURES 11–18. Aglaotilla submetallescens (Turner, 1916), comb. nov., sculpture. 11–14, ♀; 11. Head: dorsal view; 12. Mesosoma (antero-mesal region of mesoscutum): dorsal view; 13. Metasoma (lateral regions of T2 and S2): lateral view, showing felt line on T2; 14. Metasoma (postero-mesal region of S2): ventral view. 15–18, ♂; 15. Head: dorsal view; 16. Mesosoma (posterior region of mesoscutum, anterior region of mesoscutellum, and right axilla): dorsal view; 17. Mesosoma (mesal region of propodeum): postero-dorsal view; 18. Metasoma (posterior region of T5, T6, T7): dorsal view. Scale = 0.5 mm.
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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.