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2,118 results for “Metal”
Metal halide thermoelectrics: prediction of high-performance CsCu2I3
<p>Optimized crystal structures of CsCu<sub>2</sub>I<sub>3</sub> (<em>Cmcm</em> and <em>Amm</em>2); force constant sets of <em>Amm</em>2 structure; and raw AMSET input/output files.</p>
Heterogenized Molecular Rhodium Phosphine Catalysts within Metal–Organic Frameworks for Alkene Hydroformylation
<p>Supplementary information for associated publication</p>
FESEM images after cultivating dental plaque on Ti-based metallic glass and Ti6Al4V
<p>Field Emission Scanning Electron Microscopy after culturing dental plaque on Ti<sub>40</sub>Zr<sub>10</sub>Cu<sub>36</sub>Pd<sub>14 </sub>bulk metallic glass compared with Ti6Al4V. </p>
Indirect cytocompatibility and antibacterial properties of Zr-Cu-Ag metallic glass coatings
<p>In order to evaluate a possible antibacterial effect of the released ions, specimens (4x4 mm<sup>2</sup> square metallic glass coatings) were submerged with 7 ml of LB broth and maintained at 37°C inside a shaker (120 rpm) for 1, 5 days, following the same procedure exploited for the ions release evaluation. At each time point the supernatants were collected and used to cultivate bacteria at a defined concentration (1x10<sup>5</sup> cells/ml); bacteria cultivated with supernatants obtained from ions-free PBT were considered as control. The released ions killing activity was evaluated in terms of metabolic activity that was measured by the alamar blue assay as previously detailed. The same procedure with LB medium for hMSC was repeated. </p>
Original data for "Deciphering the Interplay Between Local and Global Dynamics of Anodic Metal Oxidation"
<p>This upload includes both original and supplementary data for the publication titled "Deciphering the Interplay Between Local and Global Dynamics of Anodic Metal Oxidation" by A. Makogon, J.-M. Noël, F. Kanoufi, and V. Shkirskiy. The preprint version of the paper can be found on ChemRxiv at <a href="https://doi.org/10.26434/chemrxiv-2023-stbm1">https://doi.org/10.26434/chemrxiv-2023-stbm1</a>.</p> <p>The files "DATA_PROCESSING.pdf" and "DATA_PROCESSING.ipynb" contain the developed Python script routine used for data mining and extraction. All figures in the article were generated using this script. For the best experience, we recommend opening the Jupyter Lab files in a Python 3 environment.</p> <p>The "Videos.zip" file houses all original data from the optics experiment, showcasing the evolution of current, averaged normalized reflectivities, and optical movies.</p> <p>The "OriginalData.zip" file contains all raw data from the opto-electrochemical experiments. Refer to the Python script as a guide if you wish to open and process this data.</p> <p>Lastly, "Drafts_of_scripts.zip" includes all the unedited drafts of Python scripts that were developed during the data processing phase.</p>
A dataset of DFT-computed oxygen vacancy formation energies of metal oxides
<p>This dataset contains DFT-computed oxygen vacancy formation energies of different oxygen sites in over 1000 metal oxides present on the Open Quantum Materials Database (OQMD). Entries in the Data.csv file are indexed using the OQMD entry ID of the pristine structure, and list, alongside the oxygen vacancy formation energy, a number of other properties used as features in machine learning models. An exemplary code allowing to test the performance of a random forest regressor using different sets of features to predict the vacancy formation energy, as a function of training set size, is provided in Test_Models.py. More details on the dataset and machine learning models can be found in: arXiv:2309.01160. </p><p> </p><p><strong>Acknowledgments</strong></p><p>The work was funded by the U.S. Department of Energy under Grant DE-EE0008089. S. G. acknowledges the Air Force Office of Scientific Research for support under Award No. FA9550-18-1-0136 (OQMD database). A. G. acknowledges the Center for Hierarchical Materials Design (ChiMaD) under Award No. 70NANB19H005 (ML models). A. J.A. S.-C. acknowledges the financial support to National Agency for Research and Development (ANID)/DOCTORADO BECAS CHILE/2018 - 56180024. A. J.A. S.-C. and T. L. acknowledge funding from the Toyota Research Institute through the Accelerated Materials Design and Discovery program (ML representations). The data was produced relying on the computing power provided by Quest high performance computing facility at Northwestern University.</p>
Upcycling a Plastic Cup: One-Pot Synthesis of Lactate Containing Metal Organic Frameworks from Polylactic Acid
<p>Data supporting publication: <strong>Upcycling a plastic cup: one-pot synthesis of lactate containing metal organic frameworks from polylactic acid</strong>, Benjamin Slater, So-On Wong, Andrew Duckworth, Andrew J. P. White, Matthew R. Hill and Bradley P. Ladewig, Chen. Commun. (2019), DOI: <a href="https://doi.org/10.1039/c9cc02861g">10.1039/c9cc02861g</a>. </p> <p>Includes raw data for XRD spectra for all materials, CIF file and checkCIF file.</p> <p>v2 includes additional high-resolution photos and diagrams supporting the publication</p>
Intra-specific variation in metal tolerance modulate competition between two marine diatoms
Open the record for dataset details and reuse information.
Data from: Plant traits regulated metal(loid)s in dominant herbs in an antimony mining area of the Karst Zone, China
Open the record for dataset details and reuse information.
Data for: Heavy metal pollution impacts soil bacterial community structure and antimicrobial resistance at the Birmingham 35th Avenue Superfund Site
Open the record for dataset details and reuse information.
Urban land use impact on soil heavy metal levelsin Lafayette, Louisiana
Open the record for dataset details and reuse information.
Lichen Resurvey with Heavy Metal Analysis: Distribution of Praseodymium concentration in lichen tissue in Maricopa County
Distribution of Praseodymium concentration in lichen tissue collected as part of a study of heavy metals in lichens in Maricopa County, AZ.
Supplemental material to manuscript "Enhancement of adhesives strength of wood-metal joints using atmospheric plasma treatments"
<p>This dataset includes the supplementary information<strong> </strong>related to the manuscript:</p> <p>Authors: Žigon J, Kovač J, Zaplotnik R, Saražin J, Šernek M, Petrič M, Dahle S</p> <p>Title: <strong>Enhancement of adhesives strength of wood-metal joints using atmospheric plasma treatments</strong></p>
Utilising quadrat.count and quadrat.test to understand metal axes as spatial point patterns
<p>As part of a Master's thesis, the spatial distribution and density of metal axes found by private metal detectorists were assessed in relation to different covariates: soil type, soil texture, land cover and estimated preservation capacity (Kibblewhite et al. 2016). The data derives from England and Wales (Portable Antiquities Scheme), Denmark (Digitale Metaldetektorfund) and the Netherlands (Portable Antiquities Scheme). Calculations were performed with the functions 'quadrat.count', 'intensity.quadratcount' and 'quadrat.test' in R. There are three separate .Rmd files per country, each refering to a particular covariable.</p>
Supplemental material to manuscript "Enhancement of strength of adhesive bond between wood and metal using atmospheric plasma treatment"
<p>This dataset includes the supplementary information<strong> </strong>related to the manuscript:</p> <p>Authors: Žigon J, Kovač J, Zaplotnik R, Saražin J, Šernek M, Petrič M, Dahle S</p> <p>Title: <strong>Enhancement of strength of adhesive bond between wood and metal using atmospheric plasma treatment</strong></p>
Experimental evidence for the incorporation of two metals at equivalent lattice positions in mixed metal organic frameworks. Dataset related to publication. Version: 1
<p>Experimental evidence for the incorporation of two metals at equivalent lattice positions in mixed metal organic frameworks. Dataset related to publication. Version: 1</p>
Dataset/Development of a novel calorimetry setup based on metallic paramagnetic temperature sensors
<p>Dataset related to the publication "Development of a novel calorimetry setup based on metallic paramagnetic temperature sensors" submitted to Review of Scientific Instruments.</p>
Techno-economic model of Methane pyrolysis in liquid metal bubble column reactor for hydrogen direct reduction of iron ore
<p>Reducing emissions from the iron and steel industry is essential to achieve the Paris climate goals.A new system to reduce the carbon footprint of steel production is proposed in this article by coupling hydrogen direct reduction of iron ore (H-DRI) and natural gas pyrolysis on the liquid metal surface inside a bubble column reactor. If grid electricity from the EU is used, the emissions would be 435 kgCO\textsubscript{2}/tls without considering methane leakage from the extraction, storage, and transport of natural gas. Solid carbon, produced as a by-product of natural gas decomposition, finds applications in many industrial sectors, including as a replacement for coal in coke ovens. The specific energy consumption (SEC) of the proposed system is approximately 6.3 MWh per ton of liquid steel(tls).It is higher than other competing technologies,3.48 MWh/tls for water electrolysis based DRI, and 4.3-4.5 MWh/tls for natural gas-based DRI and blast furnace-basic oxygen furnace (BF-BOF) respectively. The utilization of large quantities of natural gas, where the carbon remains unused, is the major reason for the high SEC. Preliminary analysis of the system revealed that it has the potential to compete with existing technologies to produce CO\textsubscript{2}free steel, if renewable electricity is used. Further studies on the kinetics of the bubble column reactor, H-DRI shaft furnace, design, and sizing of components, along with the building of industrial prototypes are required to improve the understanding of the system performance.</p>
Data and code for "A Library of Late Transition Metal Alloy Dielectric Functions for Nanophotonic Applications"
<p>This data set contains dielectric functions for the ten binary alloys comprised of the late transition metals most commonly employed in plasmonics (Ag, Au, Cu, Pd, Pt).</p>
Nutrient concentration in seawater samples, collected from the underway supply, CTD and trace metal rosettes in the Southern Ocean during the austral summer of 2016/2017, on board the Antarctic Circumnavigation Expedition (ACE).
<p><strong>Dataset abstract</strong></p> <p>This dataset presents concentrations of nutrients (µmol/L): nitrous oxide (NOx), nitrate, nitrite, ammonium (NH4), phosphate (PO4) and silicic acid (Si), measured in samples of seawater during the Antarctic Circumnavigation Expedition (ACE). Samples were collected from CTD and trace metal rosette (TMR) deployments, as well as from the underway water supply on board, then analysed by flow injection following certified standards. This data was collected to support physical, chemical and biological oceanography studies in the Southern Ocean, conducted as part of ACE during the austral summer of 2016/2017.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ace_seawater_nutrient_data.csv, data file, comma-separated values</li> <li>data_analysis_nutrient_concentration_standards.csv, metadata, comma-separated values</li> <li>quality_checking_crm_analysis_results.csv, metadata, comma-separated values</li> <li>nutrient_concentrations_along_track_visualisation.png, metadata, portable network graphics</li> <li>ace_seawater_nutrients_comparison_plots_tmr_ctd.pdf, metadata, portable document format</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata text</li> <li>change_log.txt</li> </ul> <p><strong>Change log</strong></p> <p>v1.1 - various changes to data and metadata, described below</p> <ul> <li>added further data points to data file (those sampled from trace metal rosette)</li> <li>added ACE station number and ACE event number to data file</li> <li>reordered columns in data file</li> <li>updated README with information about sampling of trace metal rosette</li> <li>updated README with new citation, license, dataset contact and dataset contents, updated abstract</li> <li>updated data_file_header with new data fields</li> <li>added comparison plot of CTD and TMR data points</li> <li>updated caption of plot of nutrient concentrations along track (only from CTD samples)</li> </ul> <p>v1.0 - initial release of dataset</p> <p><strong>Dataset license</strong></p> <p>This nutrient concentration dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.