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2,118 results for “Metal”
Figure. Location of the Beyşehir and Eğirdir lakes in Türkiye. in Health risk assessments of heavy metal concentrations via consumption of an invasive species, Carassius gibelio, from two large freshwater lakes of Türkiye
Figure. Location of the Beyşehir and Eğirdir lakes in Türkiye.
Ion-specific water structures at a metal surface and its effect on the hydrogen production
<p>Here lies the tabulated data used to create the Figures for the Nature Communications manuscript NCOMMS-23-54843A titled "Ion-specific water structures at a metal surface and its effect on the hydrogen production".</p>
Dataset: Non-Uniform Chiralization of Metal-Organic Frameworks Using Imine Chemistry
Open the record for dataset details and reuse information.
HPTLC Data of "Metal Ion Cofactors Modulate Integral Enzyme Activity By Varying Differential Membrane Curvature Stress"
<p>Lipid hydrolysis by the integral membrane protein OmpLA (outer membrane phospholipase). The enzymatic degradation of the proteoliposomes was determined by TLC. After lipid extraction against organic solvent (2:1 vol/vol chloroform/methanol) based on the Folch extraction method, the samples were spotted on a silica plate (Sigma-Aldrich, Steinheim, Germany) with the automatic TLC sampler 4 (CAMAG, Muttenz, Switzerland). The mobile phase in the developing chamber was a solvent mixture composed of 32.5:12.5:2 vol/vol/vol CHCl_3/MeOH/H_2O. After drying, the plate was immersed in a developing bath (5.08 g MnCl_2 dissolved in 480 ml H_2O, 480 ml EtOH and 32 ml H_2SO_4), which is sensitive to double bonds, and dried for 15 min at 120°C. To quantify the lipid concentrations the plate was scanned with the TLC scanner 3 (CAMAG, Muttenz, Switzerland) and further analyzed with WinCats software.</p> <p>Lipids:</p> <ul> <li>1-palmitoyl-2-oleoyl-<em>sn</em>-glycero-3-phosphocholine (POPC)</li> <li>1-palmitoyl-2-oleoyl-<em>sn</em>-glycero-3-phosphoethanolamine (POPE)</li> <li>1-palmitoyl-2-oleoyl-<em>sn</em>-glycero-3-phosphoglycerol (POPG)</li> </ul>
Klecany airfiled 2023 - metal detector survey finds
<p>Photos of archaeological finds from the metal detector survey at the Klecan Airport site in 2023. The names of the photos contain DB which is an identifier in the coordinate file.</p>
Reproduction package for the paper "The effects of surface fossil magnetic fields on massive star evolution: V. Models at low metallicity" by Keszthelyi et al. 2024
<p>This is a reproduction package for the paper "The effects of surface fossil magnetic fields on massive star evolution: V. Models at low metallicity" by <a href="https://ui.adsabs.harvard.edu/abs/2024MNRAS.tmp.1818K/abstract">Keszthelyi et al. 2024</a></p>
Blowin' in the wind: Mapping the dispersion of Metal(loid)s from Atacama Mining
<p><strong>Raw data from elemental and mineralogical analyses of surface sediments from Alto El Loa, Antofagasta Region, Chile.</strong></p> <p><strong>Blowin' in the wind: Mapping the dispersion of Metal(loid)s from Atacama Mining</strong></p> <p><strong>Authors: Nicolás C. Zanetta-Colombo<sup>1,2</sup> *, Carlos A. Manzano<sup>3,4 </sup>, Dagmar Brombierstäudl<sup>1</sup>, Zoë L. Fleming<sup>5,6</sup>, Eugenia M. Gayo<sup>6,7</sup>, David A. Rubinos<sup>8</sup>, Óscar Jerez<sup>9</sup>, Jorge Valdés<sup>10</sup>, Manuel Prieto<sup>11,12</sup>, Marcus Nüsser<sup>1,2</sup></strong></p> <p><strong><sup>1</sup></strong><sup> </sup>Department of Geography, South Asia Institute, Heidelberg University, Heidelberg, Germany.</p> <p><strong><sup>2</sup></strong><sup> </sup>Heidelberg Center for the Environment (HCE), Heidelberg University, Heidelberg, Germany.</p> <p><strong><sup>3</sup></strong><sup> </sup>Departamento de Química, Facultad de Ciencias, Universidad de Chile, Santiago, Chile.</p> <p><strong><sup>4</sup></strong><sup> </sup>School of Public Health, San Diego State University, San Diego, CA, USA</p> <p><strong><sup>5</sup></strong><sup> </sup>Centro de Investigación en Tecnologías para la Sociedad, Universidad Del Desarrollo, Santiago, Chile.</p> <p><strong><sup>6</sup></strong><sup> </sup>Center for Climate and Resilience Research (CR)2, Chile.</p> <p><strong><sup>7</sup></strong><sup> </sup>Departamento de Geografía, Universidad de Chile, Santiago, Chile.</p> <p><strong><sup>8</sup></strong><sup> </sup>Sustainable Minerals Institute–International Centre of Excellence Chile (SMI-ICE-Chile), The University of Queensland, Australia, Las Condes, Santiago, Chile.</p> <p><strong><sup>9</sup></strong><sup> </sup>Instituto de Geología Económica Aplicada (GEA), University of Concepción, Chile. Barrio Universitario S/N, Concepción, Chile.</p> <p><strong><sup>10</sup></strong><sup> </sup>Laboratorio de Sedimentología y Paleoambientes (LASPAL), Instituto de Ciencias Naturales Alexander von Humboldt, Facultad de Ciencias del Mar y de Recursos Biológicos, Universidad de Antofagasta, Antofagasta, Chile.</p> <p><strong><sup>11 </sup></strong>Millenium Nucleus in Andean Peatlands (AndesPeat), Chile</p> <p><strong><sup>12 </sup></strong>Departamento de Ciencias Históricas y Geográficas, Universidad de Tarapacá, 18 de Septiembre 2222, Arica, Chile</p> <p> </p> <p><strong><span>Data Set 1 (ds1): </span></strong><span>Elemental concentrations (mg/kg) of metal(loid)s in surface sediment samples. The dataset also includes geographic coordinates (LONG, LAT), distance to the nearest mines (Dist_mines), distance to tailings (Dist_tailing), and buffer zone classifications for tailings (Buffer_T) and mines (Buffer_M).</span></p> <p><strong>Data set 2 (ds2)</strong>: Mineralogical composition of selected surface sediment samples. </p>
Investigating the Impact of Process Parameters on Bead Geometry in Laser Wire-Feed Metal Additive Manufacturing
<p>The Excel file is structured to provide a comprehensive overview of the design of experiments (DoE) for the research project titled <em>"Investigating the Impact of Process Parameters on Bead Geometry in Laser Wire-Feed Metal Additive Manufacturing"</em>, conducted under the BALSAM project. This research specifically contributes to deliverables D1.2 and D3.1.</p>
Metal(loid)s in urban soil from historical municipal solid waste landfill: Geochemistry, source apportionment, bioaccessibility testing and human health risks - Supplementary data
<p>This is a supplementary dataset to the paper:</p> <p>Hiller E., Faragó T., Kolesár M., Filová L., Mihaljevič M., Jurovič L., Demko R., Mchlica A., Štefánek J., Vítková M. (2024): Metal(loid)s in urban soil from historical municipal solid waste landfill: Geochemistry, source apportionment, bioaccessibility and human health risks. <em>Chemosphere</em> <strong>362</strong>, 142677. DOI: 10.1016/j.chemosphere.2024.142677</p> <p>This research was supported by the Johannes Amos Comenius Programme (OP JAC), project No. CZ.02.01.01/00/22_008/0004605, Natural and anthropogenic georisks. The dataset is published under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). This license allows others to distribute, remix, adapt, and build upon the dataset for any purpose, even commercially, as long as they give appropriate credit to the original creator(s).</p>
Effect of ion-specific water structures at metal surfaces on hydrogen production
<p>Here lies the tabulated data used to create the Figures for the Nature Communications manuscript NCOMMS-23-54843B titled "Effect of ion-specific water structures at metal surfaces on hydrogen production".</p>
Ligand Many-Body Expansion as a General Approach for Accelerating Transition Metal Complex Discovery
<p>Dataset of transition metal complex structures in .xyz file format, computed and predicted energies in comma delimited format, model information in JSON format, and the Mathematica script for uncertainty analysis for associated manuscript.</p>
Characterization of metal-removing Mn oxides at a coal mine drainage treatment site in Glasgow, PA
<p>Dataset for: Characterization of metal-removing Mn oxides at a coal mine drainage treatment site in Glasgow, PA</p> <p>Includes the following: XRD, XAFS, FTIR, Raman, ICP-OES, EDS</p>
Sulfidation of a metal-organic framework via heterolytic splitting of organo sulfides at distorted Zr-nodes
<p>Raw Dataset containing all calculation data of the publication "Sulfidation of a metal-organic framework via heterolytic splitting of organo sulfides at distorted Zr-nodes".</p>
Data to "Coverage- and temperature-induced self-metalation of tetraphenyltransdibenzoporphyrin on Cu(111) "
<p>Raw data, meta data, data evaluation and final figures to the corresponding publication.</p>
Supporting data for 'Rapid quantification of methane in water with parts-per-billion sensitivity using a metal-organic framework-functionalized quartz crystal resonator'
<p>Supporting data for the preprint 'Rapid quantification of methane in water with parts-per-billion sensitivity using a metal-organic framework-functionalized quartz crystal resonator' published at ChemRxiv (doi://10.26434/chemrxiv-2024-x62zz)</p> <p> </p>
Experimental and theoretical data generated on optimization of the wetting-drying characteristics of hydrophobic metal organic frameworks via crystallite size
<p>Open access to experimental data generated by the project <a href="https://www.electro-intrusion.eu/en">Electro-Intrusion</a> (101017858, Horizon 2020, European Union) along with the research on the mechanical behaviour of hydrophobic porous materials to be used in intrusion-extrusion applications. Research pertaining to Task 2.1 (WP2).</p> <p>Underlying data for the publication Johnson, L. J. W. et al. Optimization of the wetting-drying characteristics of hydrophobic metal organic frameworks via crystallite size: The role of hydrogen bonding between intruded and bulk liquid. Journal of Colloids and Interface Science 2023, 645, 775-783. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jcis.2023.04.059" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.jcis.2023.04.059</span></span></a>. Data related to Figures 2, 4, 5 and S1 in the article.</p>
Theoretical and experimental data on supercritical water confined in hydrophobic metal organic frameworks.
<p>/* **********<br>/* This work is licensed under a Creative Commons Attribution 4.0 International License.<br>/* **********<br> <br>Open access to experimental and theroretical data generated by the project Electro-Intrusion (101017858, Horizon 2020, European Union, https://www.electro-intrusion.eu/en) along with the research to be used in intrusion-extrusion applications. Research pertaining to Task 2.1 (WP2). <br>Underlying data for the publication Merchiori, S. et al. Mild-Temperature Supercritical Water Confined in Hydrophobic Metal Organic Frameworks. The Journal of American Chemistry Society 2024, 146, 19, 13236. doi: <a title="DOI URL" href="https://doi.org/10.1021/jacs.4c01226">https://doi.org/10.1021/jacs.4c01226</a></p> <p> Data related to Figures 1, 2, 3, 4 in the article and figure S13 and S18 ins the Supporting Information.<br> </p>
Data to calculate metal demand from IAM energy projections and add flexibility to the technological mix
<p>In the "Data" folder, you’ll find all necessary data to run the <strong>"IAM_metal_optimisation.py"</strong> script, available on GitHub (<a href="https://github.com/Pelotte/iam-metal-demand-optimizer/tree/master" target="_new" rel="noopener">https://github.com/Pelotte/iam-metal-demand-optimizer/tree/master</a>).</p> <p>The <strong>"IAM_metal_optimisation.py"</strong> script is a tool designed to:</p> <ol> <li>Quantify metal supply and demand by sector through 2050, using energy projections from various IAMs and SSP-RCP scenarios.</li> <li>Optimize the IAM technological mix, minimizing adjustments needed to prevent metal demand from exceeding supply constraints.</li> </ol> <p>This tool supports all IAMs with power projections for SSP-RCP scenarios (except SSP3) provided in the IPCC’s Sixth Assessment Report (AR6), Working Group III, and available in the IIASA database.</p> <p>Data for RCP 2.6, SSPs 1, 2, 4, 5, of the SSP marker IAM models of the IPCC, are organized in the "Capacity Factor IAM," "GDP IAM," and "Power Capacity IAM" folders. See the GitHub README for more details.</p>
Theoretical Design and Synthesis of Metal-Inorganic Frameworks Using Host Atom-Centered Building Blocks for Efficient Catalysis with Diverse Reactive Sites
<p><strong>ML_ABN</strong> is a necessary file for training machine learning potentials using VASP. It contains the structural details and energies of the training set. <strong>ML_FFN</strong> is the force field file obtained after training. <strong>Test_DataSet.zip</strong> contains the test set with 900 structures, and <strong>Test_DataSet_Energy.xlsx</strong> stores the energies of these structures after being evaluated by DFT.</p>
Dataset of "Thermal Stability of Valuable Metals in Lithium-Ion Battery Cathode Materials: Temperature Range 500-800 °C"
<p>Examination of the cathode part of a lithium-ion battery, which is composed of NMC spinel 622 (LiNi0.6Mn0.2Co0.2O2), and investigation of its stability during annealing at temperatures ranging from 500-800 °C. Determination of valuable metals (Li, Ni, Mn and Co) after exposure to temperatures from 500 to 800 °C using ICP-OES analysis. The correlation between element stability and the temperature of PVDF release, a binder in cathodes, was demonstrated by DTA. SEM-EDS performed local chemical analysis. XRD characterised the crystalline structures of the original material and changes after annealing at 800 °C. This work builds on Part I, which focusses on the thermal stability of the material in lower temperature ranges. This research aimed to gain a deeper understanding of the pyrometallurgical aspect of the recycling process and identify the ideal annealing temperature for maximising the recovery of valuable metals. </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
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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.
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.