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170 results for “nickel”
Winter dissolved and particulate nickel concentrations along 30 deg E transect, Southern Ocean: GEOTRACES GIPr07 cruise
<p>The data describes the depth profiles of seawater concentrations of dissolved nickel (dNi, 0.2 µm filtered seawater) and particulate nickel (pNi, collected on 0.45 µm pore size filter) along the 30 deg E transect in the Indian sector of Southern Ocean. </p> <p>The output data of an Optimum Multiparameter Analysis (OMP) is also included. The goal of the OMP was to calculate the water mass fractions at each discreet sample location. Six water masses were considered, Subantarctic Surface Water (SASW), Antarctic Intermediate Water (AAIW), North Atlantic Deep Water (NADW), Upper Circumpolar Deep Water (UCDW), Lower Circumpolar Deep Water (LCDW) and Antarctic Bottom Water (AABW). Samples with depths <200 m and/or temperature >10°C were excluded from the analysis to avoid the influence of surface biological processes on nutrient concentrations. Water masses were defined by endmember compositions of temperature, salinity, oxygen, nitrate, phosphate and silicate sourced from property-property plots. A linear fit regression model was used to predict the endmember dNi concentrations of water masses, and then reconstruct the dNi concentrations by direct multiplication of water mass fractions with their endmember compositions. Therefore, the OMP can be used to assess whether the dNi distributions can be reconstructed by water mass mixing without invoking other processes. The O2 deficit (calculated as the difference between measured and predicted O2 concentrations) was used to estimate the amount of remineralization that occurred relative to the endmember composition based on the Redfield ratio. Assuming the O2 deficits were solely attributed to remineralization of sinking phytoplankton cells, the amount of remineralized dNi was estimated by extending the Redfield ratio to include Ni, and based on estimates of phytoplankton cellular pNi:pP quotas from the literature.<br>The uncertainties of water mass contributions in the OMP analysis were estimated by summing the residuals of temperature, salinity, oxygen, and nutrients scaled by their weights.</p>
Data for "Two-phase mixture of iron-nickel-silicon alloys in the Earth's inner core"
<p>This file is the dataset used in the article "Two-phase mixture of iron-nickel-silicon alloys in the Earth's inner core", <em>Commun. Earth Environ.</em> <strong>2</strong>, 225 (2021). https://doi.org/10.1038/s43247-021-00298-1</p>
Characterization of a Nickel-Titanium (55.3 Ni wt%) shape memory alloy wire
<p>Characterization of a Nickel-Titanium (55.3 Ni wt%) shape memory alloy (SMA) wire supplied by Memry (USA).</p> <p>Diameter : 0.50mm</p> <p>Data given by the supplier : Nitinol wire, Hard black oxide, thermally straightened, As = 53°C</p> <p>Differential Scanning Calorimetry (DSC) test (as received) : a virgin sample of NiTi wire (7.9mg) is submitted to an initial heating up to 250°C, followed by 2 cooling-heating cycles (250°C/-90°C/+250°C). Test speed : 10°C per minute. The DSC apparatus is a DSC 250 (TA Instruments) with nitrogen gas flow. The test files for the software Trios are supplied as well as the .csv data.</p> <p>Differential Scanning Calorimetry (DSC) test (50 cycles) : the NiTi wire maintained in a water bath at a temperature of 70°C is submitted to 50 mechanical cycles of loading up to 90N and unloading down to 0.5N (superelastic cycles). A sample of this wire (8.1mg) is submitted to a DSC with an initial heating up to 250°C, followed by 2 cooling-heating cycles (250°C/-90°C/+250°C). Test speed : 10°C per minute.</p> <p>Isothermal traction at 25 degrees : a specific testing apparatus (illustration in the file Apparatus.jpg) has been set up. The SMA wire is tested in a box containing water, a water pumping/heating/cooling apparatus enables to control the water temperature in order to precisely control the SMA wire temperature. One side of the box is made of transparent PMMA in order to monitor the wire strains by Digital Image Correlation (DIC). The tested part of the wire finds itself in water, and its upper end is clamped in the cylinder jaws of a displacement controlled ADAMEL DY31 testing machine. The water temperature is monitored by two type K thermocouples at two different locations inside the water volume. The load in the wire is registered using a 100N load cell and the deformations of the wire were measured by DIC on images acquired by a Pike F421B camera (Allied Vision Technologies). A Matlab routine has been set up to acquire simultaneously the deformation images with the load values. A virgin wire of the same spool has been submitted to axial traction in 25°C water with a speed of 10^-4 s^-1. The first traction test presents a strain localization along the wire. We were not interested in this phenomenon and only present here the 2nd, 3rd and 4th test which show a homogeneous strain along the observed zone of the wire. The strain has been measured with the software GOM Correlate, by computing the mean value of the axial strain on a rectangular zone of several centimeters on the wire. The GOM Correlate files are supplied, as well as the .csv values. Between each test, the wire has been extracted from the testing chamber, placed in a furnace at 100°C during several minutes and then placed in a deep freezer at -20°C during several minutes in order to always test a martensitic wire.</p> <p>Thermal cycling at 25°C : With the same apparatus, a load of 25N has been applied on the wire at 85°C and then maintained constant with the help of a PID controller in the TestWorks software. The wire being maintained at this constant load, the water has been cooled down to 15°C and heated up to 85°C. The strain field could not be measured accurately, and for this reason the strain named Axial Strain 1, Axial Strain 2 and Axial Strain 3 are computed with virtual gauges in GOM Correlate (only between two points). The strain may be heterogeneous along the wire.</p>
Dynamical simulation of EBSD master pattern of nickel
<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of nickel (<em>Fm<span class="math-tex">\(\bar{3}\)</span>m</em>, <em>a</em> = 3.5236 Å). The master pattern was simulated with EMsoft v4.3. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV.</p> <p>The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python 3.7 or higher and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands:</p> <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/ni_mc_mp_20kv.h5") s.plot()</code></pre> <p>The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: ni.xtal), EMMCOpenCL (input: ni.xtal, mcopencl.nml; output: ni_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, ni_mc_mp_20kv.h5; output: added to existing ni_mc_mp_20kv.h5).</p>
BAM reference data: results of ASTM E139 -11 creep tests on a reference material of Nimonic 75 nickel-base alloy
<p>Results of creep tests on a certified reference material at T = 600°C and a tensile creep load of 160 MPa are provided. The raw data are available in ASCII format (*.lis files). <br> The file "Inhalt_Content_V1.1.pdf" contains further information about the files provided.<br> The evaluated results include the times to reach 2% and 4% creep strain, respectively, and the creep rate after 400 h.</p> <p>The tests were carried out in an accredited test laboratory. The calibrations of all measurands and test and measuring equipment are documented. The calibrations meet the requirements of the test procedure and are metrologically traceable.</p>
Nanocrystalline Flash Annealed Nickel Oxide for Large Area Perovskite Solar Cells
<p>Dataset supporting the manuscript "Nanocrystalline Flash Annealed Nickel Oxide for Large Area Perovskite Solar Cells" published in Advanced Science (DOI:10.1002/advs.202302549)</p> <p>Datasets are named according to the corresponding figures, with data related to each panel named according to the panel. Further complementary information about the data can be found in the README files.</p>
High resolution deformation data from the surface of a Nickel-based superalloy: Coarse precipitates
<p>High resolution digital image correlation (HRDIC) and electron backscattered diffraction (EBSD) data provided that quantifies the deformation on the surface of Nickel-based superalloy with coarse gamma prime precipitates (250 nm diameter) after 2% strain in tension.</p>
High resolution deformation data from the surface of a Nickel-based superalloy: Fine precipitates
<p>High resolution digital image correlation (HRDIC) and electron backscattered diffraction (EBSD) data provided that quantifies the deformation on the surface of Nickel-based superalloy with fine gamma prime precipitates (70 nm diameter) after 2% strain in tension.</p>
Annexes to the Update of the risk assessment of nickel in food and drinking water
<p><strong>Annex A – Benchmark dose analysis </strong></p> <p>The Annex is provided as a separate pdf file containing the detailed results of the benchmark dose analyses from which no reference point was selected. </p> <p><strong>Annex B – Dietary surveys per country and age group available in the EFSA Comprehensive Database, considered in the exposure assessment </strong></p> <p>The Annex is provided as a separate Excel file containing the dietary surveys per country and age group.</p> <p><strong>Annex C – Occurrence data on nickel in food and drinking water</strong></p> <p>The Annex is provided as a separate Excel file containing summary statistics on occurrence data on nickel.</p> <p><strong>Annex D – Chronic and acute dietary exposure to nickel and the contribution of different food groups to the dietary exposure</strong></p> <p>The Annex is provided as a separate Excel file containing the chronic and acute dietary exposure to nickel per survey and the contribution of different food groups to the dietary exposure. </p>
Casting voids in nickel superalloy and the mechanical behaviour under room temperature tensile deformation
<p>This repository contains the original X-ray tomography data presented in the publication 'Casting voids in nickel superalloy and the mechanical behaviour under room temperature tensile deformation'.</p> <p>The XCT data were collected using Zeiss Xradia Versa 520 instrument from Henry Moseley X-ray Imaging facility at the University of Manchester. Access to the instrument was granted by Henry Royce Institute through PhD access funding scheme for Zhuocheng Xu. Data to produce Figure8 and Figure9 are also uploaded.</p>
nickel
<p>This is a PROMISE Software Engineering Repository data set made publicly available in order to encourage repeatable, verifiable, refutable, and/or improvable predictive models of software engineering.</p> <ol> <li> <p>Title: Nickle Repository Transaction Data</p> </li> <li> <p>Sources: (a) Original creators of database: Bart Massey 01 503 725-5393 Computer Science Dept. PO Box 751 MS CMPS Portland State University Portland, OR USA 97207-0751 bart@cs.pdx.edu</p> </li> </ol> <p>(b) Donor of database: owner</p> <p>(c) Date received: 31 March 2005</p> <ol> <li> <p>Past Usage: none</p> </li> <li> <p>Relevant Information:</p> </li> </ol> <p>This dataset was assembled by analyzing the publicly-available CVS archives of the Nickle programming language (http://nickle.org) using a modified version of CVSAnalY (http://metricsgrimoire.github.io/CVSAnalY). It is intended for a wide variety of uses, and thus no dependent variable is specified. See Massey’s PROMISE 2005 paper, “Longitudinal Analysis of Long-Timescale Open Source Repository Data”, for further information.</p> <ol> <li> <p>Number of Instances: 2972</p> </li> <li> <p>Number of Attributes: 10 (incl. 2 inferred)</p> </li> <li> <p>Attribute information:</p> <ul> <li>Inferred filetype: <ul> <li>non-numeric—nominal</li> <li>9 values (documentation,images,i18n,ui,multimedia,code,build,devel-doc,unknown)</li> </ul> </li> <li>File Pathname: UNIX relative path name <ul> <li>non-numeric—structured</li> <li>15 directories, 265 files</li> </ul> </li> <li>Revision: dotted-decimal revision string <ul> <li>non-numeric—structured</li> <li>161 unique revision numbers</li> </ul> </li> <li>Author ID: integer identifier <ul> <li>non-numeric—nominal</li> <li>6 unique authors</li> </ul> </li> <li>Lines added: integer <ul> <li>numeric—integer</li> <li>MIN: 0 MAX: 1011 MEAN: 24.0148 STDEV: 65.6858</li> </ul> </li> <li>Lines removed: integer <ul> <li>numeric—integer</li> <li>MIN: 0 MAX: 678 MEAN: 11.6413 STDEV: 42.4373)</li> </ul> </li> <li>File has since been removed (“in Attic”): boolean (0, 1) <ul> <li>non-numeric—nominal</li> <li>11.98% positive</li> </ul> </li> <li>Commit has CVS_SILENT flag: boolean (0, 1) <ul> <li>non-numeric—nominal</li> <li>never set</li> </ul> </li> <li>Inferred that committer was not author: boolean (0, 1) <ul> <li>non-numeric—nominal</li> <li>never set</li> </ul> </li> <li>Commit date: date <ul> <li>MIN: “1999-01-13 06:22:11” MAX: “2005-01-14 16:58:53”</li> <li>Note: CVS has trouble with timezones; we assume all dates are UTC.</li> </ul> </li> </ul> </li> <li> <p>Missing Attribute Values:</p> </li> </ol> <ul> <li>unknown inferred filetype (attr 1): 69</li> </ul> <ol> <li>Class Distribution: N/A</li> </ol>
Data accompanying the paper "Multi-wavelength Raman microscopy of nickel-based electron transport in cable bacteria"
<p>Data accompanying the paper "Resonance Raman microscopy of nickel-based electron transport in cable bacteria"</p>
Data and code for replication of: "Global warming and heat extremes to exacerbate inflationary pressures. M. Kotz, F. Kuik, E. Liz, C. Nickel. Nature Communications Earth & Environment (2023)."
<p>This repository contains secondary data and code necessary to reproduce the results of the manuscript:</p><p>Global warming and heat extremes to exacerbate inflationary pressures.</p><p>M. Kotz, F. Kuik, E. Liz, C. Nickel. Nature Communications Earth & Environment (2023).</p><p> </p><p>For further information please contact: maxkotz@pik-potsdam.de</p><p> </p><p>This document contains:</p><p>1. An outline of the data included in the repository.</p><p>2. An outline of the code included in the repository.</p><p> </p><p>See the README for further details.</p><p> </p><p>Credit and thanks go to Miles Parker, Chiara Osbat and Emanuele Franceschi for compiling the inflation data which is used in this study. Inflation data provided here has been anonymised (countries shuffled and names replaced by random letter combinations) to enable reproduction of our results, while limiting further use. Moreover, inflation in terms of the change in the logarithm of prices is included, whereas the level of price indices are excluded. For full inflation data please see the forthcoming publication by Miles Parker, Chiara Osbat,and Emanuele Franceschi (contact Miles.Parker@ecb.europa.eu for further enquiries into the raw inflation data).</p>
Raw NMR and GC reports for the article Electrochemical Hydrogenation of Alkenes over a Nickel Foam Guided by Life Cycle, Safety and Toxicological Assessments, Green Chemistry, doi: https://doi.org/10.1039/D4GC02924K
<p>Raw NMR for the article Electrochemical Hydrogenation of Alkenes over a Nickel Foam Guided by Life Cycle, Safety and Toxicological Assessments, Green Chemistry, doi: https://doi.org/10.1039/D4GC02924K</p> <p>The raw NMR data files for all compounds reported in the article are included. The numbering corresponds to those in the article.</p> <p>Each parent folder contains subfolders with different files. In order to process this data, the full parent folder must be dragged into either Mestrenova or Topspin and then the data is automatically processed. If the name of the raw data files are renamed, the software (<a href="https://mestrelab.com/" target="_blank" rel="noopener noreferrer">Mestrenova</a> or <a href="https://www.bruker.com/en/products-and-solutions/mr/nmr-software/topspin.html" target="_blank" rel="noopener noreferrer">Topspin</a>) will not be able to process the files</p> <p> </p>
Photoactive Nickel Complexes in Cross-Coupling Catalysis
<p>ChemDraw figures to the minireview published in <em>Chem. Eur. J.</em> <strong>2021</strong>, <em>27</em>, 2770-2278; doi: <a href="https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/chem.202003974"> 10.1002/chem.202003974</a>.</p>
High resolution dataset of plastic deformation at cryogenic temperatures in a nickel-based superalloy
<p>A nickel-based superalloy is examined during monotonic deformation at cryogenic temperatures, reaching as low as liquid helium temperature. A detailed multimodal analysis of the microstructure and plasticity is conducted to discern changes in deformation mechanisms and plastic deformation localization under cryogenic conditions. This study employs high-resolution digital image correlation to identify the deformation mechanisms and understand their influence on plastic deformation localization as the temperature varies. At cryogenic temperatures, unusual plastic deformation localization processes are observed, attributed to the competing activation of a range of deformation processes. Furthermore, a mechanism of slip delocalization, i.e., local plastic deformation homogenization through closely spaced slip, is noted at these extreme temperatures. Ultimately, the impact of the microstructure is identified across the temperature range, from room to cryogenic temperatures.</p>
An artificial nickel chlorinase based on the biotin–streptavidin technology
<p>Data underlying the figures in the publication "An artificial nickel chlorinase based on the biotin–streptavidin technology" published in <em><strong>Chem. Commun.</strong></em>, 2024,<strong>60</strong>, 1944-1947 <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D3CC05847F">doi.org/10.1039/D3CC05847F</a></p>
Dataset for "Emergence of Interfacial Magnetism in Strongly-Correlated Nickelate‐Titanate Superlattices"
<p>This dataset is a collection of data that support the findings of the following publication:</p> <p>T. C. Asmara et al., <em>Adv. Mater.</em> 36, 2310668 (2024)</p> <p>DOI: <a href="https://doi.org/10.1002/adma.202310668">https://doi.org/10.1002/adma.202310668</a></p> <p>This dataset is persistently available in the following links:</p> <p>All versions: <a href="https://doi.org/10.5281/zenodo.12745079">https://doi.org/10.5281/zenodo.12745079</a></p> <p>Version 1 (only .pxp file): <a href="https://doi.org/10.5281/zenodo.12745080">https://doi.org/10.5281/zenodo.12745080</a></p> <p>If this data is re-used elsewhere, please correctly cite the related publication (T. C. Asmara <em>et al.</em>, <em>Adv. Mater.</em> 36, 2310668 (2024)) and include the DOI links to both the publication (<a href="https://doi.org/10.1002/adma.202310668">https://doi.org/10.1002/adma.202310668</a>) and the dataset repository (<a href="https://doi.org/10.5281/zenodo.12745079">https://doi.org/10.5281/zenodo.12745079</a>).</p> <h2>Description of the data and file structure</h2> <p>This dataset has been collected using the following experimental methods:</p> <ol> <li> <p>Resonant inelastic x-ray scattering (RIXS)</p> </li> <li> <p>X-ray absorption spectroscopy (XAS)</p> </li> <li> <p>Muon spin rotation (μSR)</p> </li> <li> <p>X-ray diffraction (XRD)</p> </li> <li> <p>X-ray reflectivity (XRR)</p> </li> <li> <p>Electron energy loss spectroscopy (EELS)</p> </li> <li> <p>Electrical transport</p> </li> </ol> <p>The data have only been minimally processed, mainly to present them as figures in the related scientific publication. The data has been collected in a .pxp file, which needs a software called <em>IGOR Pro</em> to open. Text-based files of the dataset will be available in the next version.</p> <h2>Code/Software</h2> <p>The dataset has also been analysed using variety of fitting analysis and theoretical calculations using the following software packages:</p> <ol> <li> <p><em>lmfit</em> package of Python</p> </li> <li> <p>ATHENA</p> </li> <li> <p>MUSRFIT</p> </li> <li> <p>TRIM.SP</p> </li> <li> <p>DIFFRAC.XRR</p> </li> </ol> <p>The fitting and calculation results are also included in the .pxp file.</p>
Nickel and FLAG Pull-Down Results From HTT With Putative Interaction Partners
<p>Huntington’s disease (HD) is a progressive neurological disorder caused by a mutation in the huntingtin gene, which encodes the huntingtin protein. Last year, the first structure of this protein was published. With a global resolution of approximately 4 Angstroms, this was a fantastic leap forward in our understanding of this protein. This structure helped our knowledge of Huntingtin, but there is still much more to find out. The structure published by this group is the only representative of about 75% of the protein, the other 25% being too mobile to capture using many high-resolution mapping techniques. One such mobile area is Exon 1, the location of the triplet repeat expansion responsible for HD. This critical region of the protein requires more structural information to understand. To obtain higher resolution images of this region, we are looking for huntingtin interaction partners that bind this region. These interaction partners will hopefully stabilize the structure enough to image the area. Interaction partners will be verified by a Pull-Down assay. Utilizing the FLAG-Tag and His-Tag present on HuntingtinPolyQ54+HAP40(HTT) complex used in this assay, we will look to identify reliable interaction partners. </p>
Data Set for Nickel-Catalyzed Enantio- and Diastereoselective Synthesis of Fluorine-Containing Vicinal Stereogenic Centers
<p>Raw NMR, HPLC and (HR)MS data for the article entitled "Nickel-Catalyzed Enantio- and Diastereoselective Synthesis of Fluorine-Containing Vicinal Stereogenic Centers" published in ACS Central Science. Folder names in "Characterizations" correspond to compound names as given in the article and/or supporting information. </p>
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