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360 results for “steel”
Thin Nickel Coatings on Stainless Steel for Enhanced Oxygen Evolution and Reduced Iron Leaching in Alkaline Water Electrolysis
<p>This is a dataset detailing the characterization of electrodeposited Ni-layers on 1 cm2 pure Ni- and stainless steel-plates. The data is available as text files (.txt), MS Excel files (.xls), Origin files (.opju), and Gamry raw data files (.DTA).</p>
BAM reference data: Temperature-dependent Young's and shear modulus data for additively and conventionally manufactured variants of austenitic stainless steel AISI 316L
<p><span>This BAM reference dataset reports the elastic properties (Young's modulus, shear modulus) of austenitic stainless steel AISI 316L between room temperature and 900 °C in an additively manufactured variant (laser powder bed fusion, PBF</span><span>‑</span><span>LB/M) and from a conventional process route (hot rolled sheet). It was generated in an accredited test laboratory using calibrated measuring equipment. The calibrations meet the requirements of the test procedure and are metrologically traceable. The dataset was audited as BAM reference data.</span></p>
Vibration assisted drilling (VAD) application to the manufactured maraging steel X3NiCoMoTi18-9-5 (1.2709) and aluminium AlSi10Mg (EN AC-43000) parts
<p>Repository containing data from vibration assisted drilling (VAD) experiments on steel and Aluminum 3D powderbed manufactured parts.</p> <p>Please refer to README.MD (or .PDF), which contains a brief description of the chosen materials, parts and tools An explanation of the data aquisition and processing methods, together with the used nomenclature is given as well.</p>
Stress, Strain, and Temperature measurement data for AISI 301 and AISI 316 stainless steels from tension tests with a sudden increase of strain rate
<p>This publication comprise data obtained during a tension test where the strain rate was suddenly changed from 10<sup>-4</sup> s<sup>-1 </sup>to 1.3x10<sup>3 </sup>s<sup>-1</sup>. The sudden increase in strain rate was carried out at different amounts of plastic strain. The tests were carried out with a modified tension Split-Hopkinson Pressure bar device. The force was measured from the stress bars using strain gages, whereas the strain was measured using high speed photography and digital image correlation. The temperature was measured using high speed infrared imaging. The data is part of the original publication in Journal of Dynamic Behavior of Materials. The original manuscript is available at https://doi.org/10.1007/s40870-022-00333-y</p> <p> </p>
Influence of the imperfection direction on the strength of steel and stainless steel frames
<p>This file includes finite element simulation data (ultimate load factor) carried out on 60 steel and stainless steel frames, including regular and irregular frame configurations with different section sizes.</p>
Full dataset of several mechanical tests on an S355 steel sheet as reference data for digital representations
<p>The dataset provided in this repository comprises data obtained from a series of characterization tests performed to a sheet of typical S355 (material number: 1.0577) structural steel (designation of steel according to DIN EN 10025-2:2019). The tests include methods for the determination of mechanical properties such as, e.g., tensile test, Charpy test and sonic resonance test. This dataset is intended to be extended by the inclusion of data obtained from further test methods. Therefore, the entire dataset (concept DOI) comprises several parts (versions), each of which is addressed by a unique version DOI.</p> <p>The data were generated in the frame of the digitization project Innovationplatform Material<em>Digital </em>(PMD) which, amongst other activities, aims to store data in a semantically and machine understandable way. Therefore, data structuring and data formats are focused in addition to aspects in the field of material science and engineering (MSE). Hence, this data is supposed to provide reference data as basis for experimental data inclusion, conversion and structuring (data management and processing) that leads to semantical expressivity as well as for MSE experts being generally interested in the material properties and knowledge.</p>
Electrical measurement of coated steels
<p>Electrical measurements of AISI441 coated with Cu-Mn spinel and Crofer 22 APU coated with Co-Mn spinel.</p> <p>Measurement were carried out up to 400 hours, at 750°C and 850°C.</p> <p>At different times were also measured the electrical properties versus temperature to measure the activation energy of conduction.</p>
Datasets for Service-Like Creep-Fatigue Experiments on Grade P92 Steel
<p>The dataset contains experimental mechanical data from complex service-like creep-fatigue experiments performed isothermally at 620 °C and a low strain amplitude of 0.2 % on tempered martensite-ferritic grade P92 steel. The data sets in text file format provide cyclic deformation (min. and max. stresses) and the total (hysteresis) data of all recorded fatigue cycles for three different creep-fatigue experiments: 1) a standard relaxation fatigue (RF) test with symmetrical dwell times of three minutes introduced at minimum and maximum strain, 2) a fully strain-controlled service-like relaxation (SLR) test combining these three-minute peak strain dwells with a 30-minute dwell in between at zero strain, and 3) a partly stress-controlled service-like creep (SLC) test combining the three-minute peak strain dwells with 30-minute dwells at constant stress.</p> <p>Further information on data and data acquisition, analysis, and experimental details are given in “<em>Experimental Data from Service-Like Creep-Fatigue Experiments on Grade P92 Steel”, </em>submitted to <a href="https://www.sciencedirect.com/journal/data-in-brief">Data in Brief</a>. Additional analyses of these datasets, as well as experimental findings and discussions are presented in “<em>Creep-Fatigue of P92 in Service-Like Tests with Combined Stress- and Strain-Controlled Dwell Times</em>”, submitted to <a href="https://www.sciencedirect.com/journal/international-journal-of-fatigue">International Journal of Fatigue</a>.</p>
Data publication: Virtual experiments for steel fiber reinforced high performance concrete (HPC)
<p>This data set contains all necessary inputs for the virtual experiments using an ellipsodal RVE for steel fiber reinforced high performance concrete (HPC), including discretization data, boundary conditions, material parameters and numerical results. The discretization is realized in terms of the finite element method. </p>
Electron Backscatter Diffraction Patterns from Titanium-added Interstitial-free Steel Containing Subgrains
<h3><strong>Associated Publications</strong></h3> <ol> <li>Bennett IV, T.J. and Taleff, E.M. Dynamic Grain Growth Driven by Subgrain Boundaries in an Interstitial-Free Steel During Deformation at 850 °C. <em>Metall Mater Trans A</em> 55, 429–446 (2024). <a href="https://doi.org/10.1007/s11661-023-07256-w">https://doi.org/10.1007/s11661-023-07256-w</a>.</li> <li>Bennett IV, T.J. and Taleff, E.M. Imaging and Segmenting Grains and Subgrains using Backscattered Electron Techniques. Under review (2024).</li> </ol> <h3><strong>Data Description</strong></h3> <p>These data were collected by Thomas J. Bennett IV on July 28, 2022.</p> <p>The electron backscatter diffraction (EBSD) data and associated electron backscatter diffraction patterns (EBSPs) contained herein were acquired from a titanium-added interstitial-free (Ti-IF) steel sheet material containing numerous subgrains. The Ti-IF steel specimen that provided these data was ramped to 850 degrees Celsius over 30 minutes, held at this temperature for one hour, and then deformed at a constant true-strain rate of 10^-4 s^-1. Upon reaching a final true strain of 0.225, the specimen was air quenched while maintaining a constant stress to preserve subgrains formed during high-temperature deformation. The tensile specimen was cut from a Ti-IF steel sheet received in a hard as-rolled condition with the tensile axis parallel to the sheet rolling direction. EBSPs were acquired from a section cut from the center of the deformed gage region using a JEOL JSM-IT300HR SEM equipped with an EDAX Velocity EBSD camera at the Center for Integrated Nanotechnologies.</p> <p>The following conditions were used for EBSD data acquisition:</p> <table> <tbody> <tr> <td>Accelerating Voltage:</td> <td>20 kV</td> </tr> <tr> <td>Beam Current:</td> <td>80%</td> </tr> <tr> <td>Working Distance:</td> <td>20.0 mm</td> </tr> <tr> <td>Magnification:</td> <td>200×</td> </tr> <tr> <td>Dynamic Focus:</td> <td>44 (out of 255, arbitrary units)</td> </tr> <tr> <td>Specimen Tilt:</td> <td>70 degrees</td> </tr> <tr> <td>Scanning Grid Type:</td> <td>Square</td> </tr> <tr> <td>Step Size (x and y):</td> <td>0.5 μm</td> </tr> <tr> <td>Scan Size:</td> <td>520 (across) × 340 (down) pixels</td> </tr> <tr> <td>EBSD Camera Resolution:</td> <td>446 × 446 pixels</td> </tr> <tr> <td>EBSD Camera Binning:</td> <td>1 × 1</td> </tr> <tr> <td>EBSD Camera Exposure Time:</td> <td>10 ms</td> </tr> <tr> <td>Frame Averaging:</td> <td>None</td> </tr> <tr> <td>Specimen Tensile Direction:</td> <td>Horizontal</td> </tr> <tr> <td>Specimen Rolling Direction:</td> <td>Horizontal</td> </tr> <tr> <td>Specimen Long Transverse Direction:</td> <td>Vertical</td> </tr> <tr> <td>Specimen Short Transverse Direction:</td> <td>Normal to plane</td> </tr> <tr> <td>Pattern Center (EMSphInx Convention):</td> <td>(x_pc, y_pc, L) = (-0.2 pixels, 112.76 pixels, 21736.4 μm)</td> </tr> <tr> <td>EBSD Camera Elevation Angle:</td> <td>3 degrees</td> </tr> <tr> <td>EBSD Camera Screen Width:</td> <td>32 mm</td> </tr> <tr> <td>Pixel size on EBSD Camera Screen:</td> <td>71.749 μm/pixel ( = 32000 μm / 446 pixels)</td> </tr> </tbody> </table> <p> </p> <p><em>Note:</em> Conversions between different pattern center conventions may be found in the journal article below or at the following link: <a href="https://github.com/EMsoft-org/EMsoft/wiki/DItutorial">https://github.com/EMsoft-org/EMsoft/wiki/DItutorial</a>.</p> <ul> <li>Jackson, M.A., Pascal, E., and De Graef, M. Dictionary Indexing of Electron Back-Scatter Diffraction Patterns: a Hands-On Tutorial. <em>Integr Mater Manuf Innov</em> 8, 226–246 (2019). <a href="https://doi.org/10.1007/s40192-019-00137-4">https://doi.org/10.1007/s40192-019-00137-4</a>.</li> </ul> <h3><strong>File Descriptions</strong></h3> <ul> <li>Specimen_orientation.pdf - A schematic showing specimen reference directions and the orientation used for EBSD data acquisition.</li> <li>Patterns.zip - A compressed archive containing Patterns.up2. This file contains 16-bit EBSPs and is 70,336,697,616 bytes (70.3 GB) uncompressed.</li> <li>SHT_Indexed.ang - A file containing orientation data produced by indexing Patterns.up2 using EMSphInx. Orientations are represented by Euler angles (Bunge convention) and are to be interpreted using the EDAX Setting 2 convention (see MTEX documentation at <a href="https://mtex-toolbox.github.io/EBSDReferenceFrame.html">https://mtex-toolbox.github.io/EBSDReferenceFrame.html</a>).</li> <li>SHT_Indexed.h5 - A file in HDF5 format containing orientation data and other relevant information produced by indexing Patterns.up2 using EMSphInx.</li> <li>SHT_Indexed_IPFmap.png - An image of an inverse pole figure map colored with respect to the short transverse direction showing the data from SHT_Indexed.ang.</li> </ul> <p><em>Note:</em> The basic format of "up2" files is the following. The first 4 bytes provide the version number. The second 4 bytes are the width of the patterns. The third 4 bytes are the height of the patterns. The fourth 4 bytes are the starting position of the pattern image data.</p> <h3><strong>Acknowledgments</strong></h3> <p>The authors gratefully acknowledge support from the National Science Foundation under Grant DMR-2003312 and instrumentation under Grant DMR-9974476. The authors also gratefully acknowledge support from the U.S. Department of Energy, Office of High Energy Physics under Grant DE-SC0009960. This work was performed, in part, at the Center for Integrated Nanotechnologies, an Office of Science User Facility operated for the U.S. Department of Energy (DOE) Office of Science by Los Alamos National Laboratory (Contract 89233218CNA000001) and Sandia National Laboratories (Contract DE-NA-0003525). The authors thank Mr. Thomas Cayia (Arcelor Mittal) for providing the interstitial-free steel material used for this study.</p>
Dataset: Algoma Steel Group Inc. (ASTLW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Algoma Steel Group Inc. (ASTL) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Olympic Steel, Inc. (ZEUS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Steel Connect, Inc. (STCN) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Steel Dynamics, Inc. (STLD) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Monotonic Tensile Testing of Corroded Reinforcing Steel Bars Database
<p>The database presented here provides a collection of 1,387 monotonic tensile tests performed on corroded reinforcing steel bars from 26 experimental programs available in the literature. The database includes 1,255 corroded reinforcing bars, 132 uncorroded control samples, 19 independent variables, and 17 dependent variables. Nine of the independent variables are categorical, and ten are numerical. 274 samples were naturally corroded, 271 were corroded under environmentally-induced conditions (typically salt-spray exposure), and 707 were corroded artificially under an impressed-current regime. All observations (individual bar tests) are statistically independent, as each data entry represents one independent test. Empty cells indicate non-reported variables.</p> <p>This database was compiled as part of the primary author's Ph.D. research for the purpose of predictive machine learning and empirical modeling. Published articles applying the database can be accessed at:</p> <ul> <li><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.conbuildmat.2024.137023" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.conbuildmat.2024.137023</a></li> <li><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.dibe.2024.100527" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.dibe.2024.100527</span></span></a></li> </ul> <p>Please see the accompanying User's Manual PDF for a complete description of the input and response variables, nomenclature, abbreviations, and formulations included in this database. </p>
Figure 1 in Effect of Mauritia flexuosa L. leaf extract on Staphylococcus aureus and Staphylococcus haemolyticus biofilms adhered to stainless steel surface
Figure 1. Gas chromatographic profile of extracts from Mauritia flexuosa L. leaves. (A) Ethanolic extract and (B) Aqueous extract. The peaks numbers correspond to the phenolic compounds and carbohydrates listed in Table 1.
Fig. 2. Anonyx gurjanovai Steele, 1986 in Two new record of the genus Anonyx (Crustacea: Amphipoda: Uristidae) from Korean waters
Fig. 2. Anonyx gurjanovai Steele, 1986, adult male, 8.50 mm. A, habitus; B, antenna 1; C, antenna 2; D, left mandible; E, right mandible; F, gnathopod 1; G, gnathopod 2; H, pereopod 3; I, pereopod 4. Scale bars: A = 1.0 mm, B-G = 0.2 mm, H, I = 0.5 mm.
Fig. 3. Anonyx gurjanovai Steele, 1986 in Two new record of the genus Anonyx (Crustacea: Amphipoda: Uristidae) from Korean waters
Fig. 3. Anonyx gurjanovai Steele, 1986, adult male, 8.50 mm. A, pereopod 5; B, pereopod 6; C, pereopod 7; D, uropod 1; E, uropod 2; F, uropod 3; G, telson. Scale bars: A-C, G = 0.5 mm, D-F = 0.2 mm.
small EBSD map from annealed ferritic steel
<p>There are two files in this dataset: </p> <p>1 - "DX54_biaxial_ref_small.h5" containing a small Electron Backscatter Diffraction map</p> <p>2 - "Fe_2866_2866_ver3.tif" containing a simulated EBSD from alpha-Fe on a stereographic projection</p> <p> </p> <p><strong>1 - "DX54_biaxial_ref_small.h5"</strong></p> <p>A small Electron Backscatter Diffraction dataset obtained from an annealed ferritic steel and used for algorithm development and testing. The data were collected on a Zeiss Merlin SEM at 20keV using a Bruker eFlash HR (1st generation) . The crystal orientations were determined through the Bruker eSprit software. The EBSD map consists of 64 by 48 points at a step size of ~0.5 microns, and with EBSD patterns recorded at 800 by 576 pixels (ie 2x2 binning). Axis systems and Euler angle conventions used are detailed in <a href="https://dx.doi.org/10.1016/j.matchar.2016.04.008">'Crystal orientations and EBSD — Or which way is up?'</a></p> <p>The dataset is given in an HDF5 file format. You can learn more about this format from <a href="https://www.hdfgroup.org">the HDF Group</a> and download some tools including HDFView which will allow you to explore the file structure. You could also take a look at the discussion given by <a href="https://doi.org/10.1186/2193-9772-3-4">Jackson et al (2014)</a> of archival data formats for EBSD.</p> <p>This map was used by the <a href="http://users.ox.ac.uk/~ajw/">Oxford Micromechnics Group</a> in development of tools for Multivariate Statistical Analysis of EBSD and TKD Datasets. You can read details of this method in the open access <a href="https://arxiv.org/abs/1806.02087">preprint on arXiv</a>. </p> <p> </p> <p><strong>2 - "Fe_2866_2866_ver3.tif" </strong></p> <p>This image file shows dynamical diffraction theory simulation results for alpha Fe undertaken using Bruker Dynamics software tool. The Kikuchi band intensities are presented on a stereographic projection.</p> <p>This was used as the 'Master Pattern' from which a simulated EBSD pattern library was constructed and used in a template matching approach to index characteristic patterns generated from a multivariate statistical analysis of EBSD data described above.</p> <p> </p> <p>These outputs were generated as part of a project on <em>Micro-mechanical modelling techniques for forming texture, non-proportionality and failure in auto materials</em> funded by the Engineering and Physical Sciences Research Council in the UK (grant number EP/I021043/1)</p> <p> </p>
ScienceDex guides
Understand access before you commit
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.