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2,118 results for “Metal”

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zenodo36/100

Comparing laser patterning of submicron structures into metal

<p>Within the EU funded project Laser4Surf European researchers are exploring how using laser structuring can alter and improve the properties or performance of metals. This graphic compares the patterning of metal surfaces with the help of Direct Laser Interference or Direct Laser Ablation (DLA) with Laser Induced Periodic Surface Structures (LIPSS).</p>

opencc-by-4.0Jul 2018View details →
zenodo36/100

Raw diffraction images of plant vacuolar iron transporter VIT1 (metal binding domain)

<p>Diffraction images of the metal binding domain of&nbsp;VIT1&nbsp;related to PDB&nbsp;codes <a href="http://www.rcsb.org/structure/6IU5">6IU5</a> (Zn-bound), <a href="http://www.rcsb.org/structure/6IU6">6IU6</a> (Ni-bound), <a href="http://www.rcsb.org/structure/6IU8">6IU8</a> (Co-bound), and <a href="http://www.rcsb.org/structure/6IU9">6IU9</a>&nbsp;(Fe-bound).</p> <p>Helical data (180&deg;/crystal) were collected from&nbsp;loop-harvested crystals on BL41XU, SPring-8 at the peak and low-remote&nbsp;wavelengths of specific metals (Zn: 1.2820/1.3000; Ni: 1.4850/1.5220;&nbsp;Co: 1.6050/1.6480; Fe: 1.74009/1.79148 &Aring;).</p> <p>The crystals belonged to space group <em>P</em>3<sub>1</sub> with unit cell parameter a~85, c~98 &Aring;.</p> <p>Related entries:&nbsp;<a href="https://zenodo.org/record/2532136">full-length with Co/Zn</a>, <a href="https://zenodo.org/record/2532138">full-length data for phasing&nbsp;by Hg-SIR</a></p>

opencc-by-4.0Feb 2019View details →
zenodo36/100

The stability of massive main-sequence stars as a function of metallicity

<p>MESA inlists associated with&nbsp;<a href="https://ui.adsabs.harvard.edu/?#abs/2012MNRAS.423.3397S">The stability of massive main-sequence stars as a function of metallicity</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Dust formation and mass loss around intermediate-mass AGB stars with initial metallicity Zini ≤ 10-4 in the early Universe - I. Effect of surface opacity on stellar evolution and the dust-driven wind

<p>MESA inlists associated with&nbsp;<a href="https://ui.adsabs.harvard.edu/?#abs/2017MNRAS.466.1709T">Dust formation and mass loss around intermediate-mass AGB stars with initial metallicity Zini&nbsp;&le; 10-4&nbsp;in the early Universe - I. Effect of surface opacity on stellar evolution and the dust-driven wind</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Ionizing spectra of stars that lose their envelope through interaction with a binary companion: role of metallicity

<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2017A&amp;A...608A..11G/abstract">G&ouml;tberg et al. (2017)</a>. MESA version 7624.</p> <p>Publication DOI:&nbsp;<a href="https://doi.org/10.1051/0004-6361/201730472">10.1051/0004-6361/201730472</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

A possible formation channel for blue hook stars in globular cluster - II. Effects of metallicity, mass ratio, tidal enhancement efficiency and helium abundance

<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2016MNRAS.463.3449L">Lei et al. (2016)</a>. MESA version 7211.</p> <p>Publication DOI:&nbsp;<a href="https://doi.org/10.1093/mnras/stw2242">10.1093/mnras/stw2242</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Supplementary Data for "Structure−Activity Relationships that Identify Metal−Organic Framework Catalysts for Methane Activation"

<p>DFT-optimized structures, energies, and computed physicochemical properties of metal-organic frameworks that correspond with work in &quot;Structure&minus;Activity Relationships that Identify Metal&minus;Organic Framework Catalysts for Methane Activation&quot; (DOI:&nbsp;<a href="https://pubs.acs.org/doi/10.1021/acscatal.8b05178">10.1021/acscatal.8b05178</a>).</p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Predicting the Onset of Void Swelling in Irradiated Metals with Machine Learning

<p>Dataset to support the manuscript, &quot;Predicting the Onset of Void Swelling in Irradiated Metals with Machine Learning&quot;, which contains all variables for predicting the target variable.</p>

opencc-by-4.0Dec 2018View details →
zenodo36/100

Raw and processed anomalous diffraction data for crystals of metal-free R2lox soaked with Mn, Fe and Co or Zn

<p>Raw and processed anomalous diffraction data for crystals&nbsp;of metal-free <em>Geobacillus kaustophilus</em> R2-like ligand-binding oxidase (R2lox) soaked with 5 mM each&nbsp;MnCl<sub>2</sub>, (NH<sub>4</sub>)<sub>2</sub>Fe(SO<sub>4</sub>)<sub>2</sub> and CoCl<sub>2</sub> or ZnCl<sub>2</sub>. Data were collected on two&nbsp;crystals each&nbsp;after soaking with Mn, Fe and Co or Mn, Fe and Zn, respectively. For each crystal, one dataset each was collected at the Fe K edge&nbsp;(7162 eV),&nbsp;Mn K edge (6589 eV) and Co K edge (7721 eV) or Zn K edge (9664 eV; X-ray energies corresponding to the theoretical K edge + 50 eV). Data were collected at 100 K on a Pilatus 6M detector at beamline X06SA of the Swiss Light Source (SLS, Villigen, Switzerland) on September 23, 2012, and processed with XDS and XSCALE. All raw and processed diffraction data for each crystal are compressed into one file.&nbsp;</p>

opencc-by-4.0May 2019View details →
zenodo36/100

Liquid metal solves maze

<p>These are supplementary videos for the paper ``Liquid Metal Solves Mazes&#39;. The abstract of the paper is below.&nbsp;</p> <p>&nbsp;</p> <p>A room temperature liquid metal is a metal whose melting point is around room temperature. We use liquid metal gallium due to its non-toxicity. A physical maze is a a connected set of Euclidean domains separated by impassable walls. We demonstrate that a maze filled with sodium hydroxide is solved by a gallium droplet when direct current is applied between start and destination loci. During the maze solving the droplet stays compact due to its large surface tension, navigate along lines of the highest electrical current due its high electrical conductivity, and goes around corners of the maze&#39;s corridors due to its high flexibility. The &nbsp;droplet maze solver has a long life-time due to negligible vapour of the liquid gallium.</p>

opencc-by-4.0Jul 2019View details →
zenodo36/100

Laser4Surf - Boosting the properties of metal surfaces

<p>Introduction video for Laser4Surf project</p> <p>A tiny texture on a metal surface can change its properties dramatically - even if the engraving is only one micrometre deep.</p>

opencc-by-4.0Jan 2018View details →
zenodo36/100

Ultra-luminous X-ray sources and neutron-star-black-hole mergers from very massive close binaries at low metallicity

<p>MESA inlists, run_star_extras, and data associated with&nbsp;<a href="https://ui.adsabs.harvard.edu/?#abs/2017A&amp;A...604A..55M">Marchant et al. (2017)</a>. MESA version 8118.</p> <p>Publication DOI:&nbsp;<a href="https://doi.org/10.1051/0004-6361/201630188">10.1051/0004-6361/201630188</a></p> <p>Files are also available in a gihub repository&nbsp;<a href="https://github.com/orlox/mesa_input_data/tree/master/2016_ULX">here</a></p> <p>Upload includes post-processed simulation output in the files Z-XX.tar.xz, where XX represents the metallicity (Z-25.tar.gz is for a metallicity of log10(Z)=-2.5). Each folder inside the archive corresponds to a single MESA simulation, with the name indicating the value of log10(M_1), q=M2/M1 and the orbital period in days. For example, the directory 1.600_0.500_0.900 corresponds to the simulation with log10(M1/Msun)=1.6, M2/M1=0.5 and Porb=0.9 days. Each folder is also a MESA template folder, containing all input files neccesary to reproduce that individual simulation.</p> <p>The file summary_tables.tar.gz contains summarized information for each simulation in ascii format.</p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Strange metallicity in the doped Hubbard model

<p>Data and code&nbsp;for main and supplementary figures of the paper &quot;Strange metallicity in the doped Hubbard model&quot;.</p> <p>preprint:&nbsp;<a href="https://arxiv.org/abs/1806.08346">https://arxiv.org/abs/1806.08346</a></p>

opencc-by-4.0Apr 2019View details →
zenodo36/100

Development of Metals Corrosion Maps of Arkansas and Maintenance of Cross-Drains

<p>Corresponding data set for Tran-SET Project No. 18GTASU01. Abstract of the final report is stated below for reference:</p> <p>&quot;Corrosion potential of metallic structures in alluvial soils is governed by chemical and electromagnetic properties of the soils. Geotechnical engineers are generally more concerned about different types of soils and their physical and mechanical properties than the chemical aspects. The main objective of this study is to analyze the geotechnical, electrochemical and electromagnetic properties of soils in Arkansas. Important parameters (e.g., soil resistivity) related to corrosion potential of metal culverts have been predicted through neural network (NN) models. The developed NN models have been trained and verified by using laboratory test results of soil samples collected from Arkansas Department of Transportation (ARDOT), and survey data obtained from the United States Department of Agriculture (USDA) and Arkansas Department of Environmental Quality (ADEQ). Finally, the Geographic Information System (GIS) based corrosion risk maps of three different types of metal pipes have been developed based on the available soil properties, metal properties, and water quality data. The developed maps will help ARDOT engineers to assess corrosion potential of metal pipes prior to the new construction and repair projects and use proper culvert and cross drain materials.&quot;</p>

opencc-by-4.0Jul 2019View details →
zenodo36/100

Supplementary Data for "Identifying Promising Metal−Organic Frameworks for Heterogeneous Catalysis via High-Throughput Periodic Density Functional Theory"

<p>Supplementary data to accompany:</p> <p>A.S. Rosen, J.M. Notestein, R.Q. Snurr. &quot;Identifying Promising Metal-Organic Frameworks for Heterogeneous Catalysis via High-Throughput Periodic Density Functional Theory&quot;, J. Comput. Chem (2019). DOI: 10.1002/jcc.25787</p>

opencc-by-4.0Oct 2018View details →
zenodo36/100

Can metal organic frameworks outperform adsorptive removal of harmful phenolic compound 2-chlorophenol by activated carbon?

<p>A more complete version of this dataset, along with publication details, is available from <a href="https://zenodo.org/record/2586955">https://zenodo.org/record/2586955</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Figure 1 in Heavy metal (cadmium, lead, and chromium) contamination in farmed fish: a potential risk for consumers' health

Figure 1. Map of the study area.

opencc-by-4.0Sep 2015View details →
zenodo36/100

Figure 2 in Heavy metal accumulation as a threat to the endangered Egyptian vulture (Neophron percnopterus L.) in Turkey

Figure 2. Distribution of As values for calamus and vane (Z= –2.49, P = 0.01).

opencc-by-4.0Sep 2019View details →
zenodo36/100

Figure 1 in Heavy metal accumulation as a threat to the endangered Egyptian vulture (Neophron percnopterus L.) in Turkey

Figure 1. Study area and the sampled nests.

opencc-by-4.0Sep 2019View details →
zenodo36/100

Figure 3 in Determination of oxidative, genotoxic, and histopathologic effects of metal pollution on the fish fauna inhabiting Karasu River, Turkey

Figure 3. Pyramidal neurons (circles) in normal fish brain section (A. mossulensis) H &amp; E.

opencc-by-4.0Oct 2021View details →

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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.

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OpenNeuro

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