Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
287
datasets available to search
ShareScore release 0.9.0
Dataset results
287 results for “alloy”
BAM reference data: Temperature-dependent Young's and shear modulus data for additively and conventionally manufactured variants of Ni-based alloy Inconel IN718
<p>This BAM reference dataset reports the elastic properties (Young's modulus, shear modulus) of Ni-based alloy Inconel IN718 between room temperature and 800 °C in an additively manufactured variant (laser powder bed fusion, PBF‑LB/M) and from a conventional process route (hot rolled bar). 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.</p>
Numerical Calculation of the Thermodynamic Properties of Silver Erbium Alloys for Use in Metallic Magnetic Calorimeters - Data
<p>Data from simulations of the specific heat and magnetization of Ag:Er alloys. The parameter range we consider are temperatures between 1mK and 1K, external magnetic fields of up to 20mT, and erbium concentrations of up to 2000ppm.</p>
elemental composition of alloys - ReINTEGRA
<p>Open access to acquired data (analysed), generated by the ReINTEGRA project (GA 886609, H2020, European Union, through Clean Sky 2 JU) along the research of the End-of-Life of novel welded Al-Li aerostructures. Research pertaining to Task 1.1 (WP1), Deliverable D1. </p> <p>Acquired data on chemical composition limits of Al-Li alloys and alloys for welding wires, collected from the international registration records published by the Aluminum Association (TEAL sheets) and from publicly available MSDS of aluminium welding wires manufactured by SAFRA S.P.A. and AlcoTec Wire Co, have been processed and analysed. Data analysis:</p> <ul> <li>Graphical comparison of ranges of contents of main alloying elements and impurities in the alloy combined in FSW and LBW coupons</li> <li>Identify elements in welding wires alloys showing low-medium compatibility for Al-Li alloys</li> </ul> <p>The data, analysed as part of the technical survey and experimental screening approach in WP1, have been the basis for further research on compatibility for recycling in WP3 and on the selection of the best EOL routes in WP2</p>
High Temperature Compression Studies of a 6082.50 Aluminium Alloy using Deformation Dilatometer
<p>Data recorded in uniaxial compression for a 6082.50 aluminium alloy deformed at temperatures of 490C, 520C and 560C, at strain rates of 10, 1, and 0.1 s-1, to 50% height reduction, using TA Instruments DIL 805 A/D/T Quenching and Deformation Dilatometer. The cylindrical samples measured 5 mm diameter and 10 mm height. The 6082.50 aluminium specimens were machined from an as-cast billet. Two homogenisation have been performed on this material, one at 590C for 8h and one at 520C for 2h. These are identified as homogenisation 1 and homogenisation 2 in the data. Al2O3 platens were used for all tests, with Mo discs superglued at both ends of the sample to maximise thermal contact. Tests were conducted in an inert He gas atmosphere under a vacuum of 1e-5 mbar. The temperature was controlled using an K-Type thermocouple spot-welded to the centre of the samples with another K-Type thermocouple welded halfway between the centre and end to measure the thermal gradient. Not all of these second thermocouples provided data due to breakages. </p> <p>Data recorded at high acquisition frequency during deformation is stored in the 'data_deformation' folder and saved with the format: ' test number (002 to 038)_Compression_Daniel_Al_(homogenisation treatment - see above)_SHT_540C_Deform_(Deformation temperature)_(deformation strain rate)_QuenchHeGas__1. Here SHT_540C refers to the solutionising treatment and QuenchHeGas__1 refers to the method of cooling after deformation. This dataset does not include readings from the off-centre thermocouple. Data in the 'data_basic' folder is recorded at a lower acquisition frequency but includes a recording of the entire thermomechanical cycle, including both heating and cooling stages, as well as deformation. The 'method' folder includes contains the temperature and deformation profiles used. 'pictures' includes images taken of the samples and set up during the experiment. </p>
Impact of water on the solubility of Si in Fe alloys_data sets
<p>Original data for the manuscript "Possible formation of hydrogen-rich layer in the topmost outer core by deeply subducted water".</p> <p>All relevant data in the manuscript and supplementary information will be uploaded.</p> <p>Codes in the manuscript are available at https://zenodo.org/record/6383354#.Yj3lZedBwuX.</p>
High speed camera video files for analyzing the cracking susceptibility of AA6005 alloy
<p>The paper based on this data was published in the CIRP/Photonics LANE 2022 conference at Furth, Germany. The high speed camera video raw data for future reference on solidification cracking susceptibility of AA 6005 alloy using the Digital Image correlation technique.</p>
Process parameters and properties of laser powder bed fusion alloys
<p>List of process paramaters and resulting properties of printed samples after laser powder bed fusion.</p> <p>Process parameters include: manufacturer of LPBF equipment, equipment model and laser type of the printer, laser power (P), scan speed (v), nominal powder layer thickness (t), hatch spacing (h), laser beam diameter (spot size (d), focus offset distance of the laser beam, scanning strategy, rotation angle of scanning strategy between layers and the build plate temperature.</p> <p>Information about the post-processing of the alloys was collected as to whether the alloy was heat-treated, heat treatment type, temperature and duration of each heat treatment step.</p> <p><br> Properties include consolidation, hardness, yield stress, elongation to failure, tensile strength</p> <p><br> Dataset was collected from peer-reviewed publicaions. Sources of the original data are provided within the datasheet.</p>
Data from: Fundamental study of multi-track friction surfacing deposits for dissimilar aluminum alloys with application to additive manufacturing
<p>This dataset contains the data for the publication "Fundamental study of multi-track friction surfacing deposits for dissimilar aluminum alloys with application to additive manufacturing".</p>
Additively Manufactured Titanium 'Alloy-Alloy Composites' and Site-Specific Property Design
<p>Paper links: Journal of Materials Characterization: https://doi.org/10.1016/j.matchar.2021.111577</p> <p>Research Gate (free preprint): https://bit.ly/3xy1Ldm</p> <p>Video written and produced by Alec Davis and Jacob Kennedy. Research was conducted at the University of Manchester and Cranfield University, UK, by Jacob Kennedy, Alec Davis, Armando Caballero, Michael White, Jon Fellowes, Ed Pickering, and Phil Prangnell. This work was supported by grants: NEWAM (EPSRC EP/R027218/1), Lightform (EPSRC EP/R001715/1), and Henry Royce Institute for Advanced Materials (EPSRC EP/R00661X/1, EP/S019367/1, EP/P025021/1, and EP/P025498/1).</p>
Thermodynamic stability of quinary alloys
<p>This dataset describes the thermodynamic stability of over 65000 hypothetical quinary alloys from the combination of 40 metal elements:</p> <pre><code>['Ag', 'Al', 'As', 'Au', 'Bi', 'Cd', 'Co', 'Cr', 'Cu', 'Fe', 'Ga', 'Ge', 'Hf', 'Hg', 'In', 'Ir', 'Mg', 'Mn', 'Mo', 'Nb', 'Ni', 'Os', 'Pb', 'Pd', 'Pt', 'Re', 'Rh', 'Ru', 'Sb', 'Sc', 'Si', 'Sn', 'Ta', 'Te', 'Ti', 'V', 'W', 'Y', 'Zn', 'Zr']</code></pre> <p> </p> <p>The stability is assessed through a binary solid solution model for which the enthalpy of mixing is calculated using density functional theory. The binary interaction parameters used for calculating the enthalpy of mixing are provided as a json file (omegas.json). The highest possible synthesis temperature at 90% of the melting point is considered.</p> <p>In addition to the thermodynamic stability, the dataset provides (inverse) energy above hull, enthalpy of mixing, and structure phase among other properties.</p> <p> </p>
Visualizations for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions
<p>- Author manuscript version of paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions".</p> <p>- Visualization for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions". This enables the 3D dataset to be visualized using the free software package Paraview (<a href="https://www.paraview.org">https://www.paraview.org</a>). Instructions are provided.</p> <p>- Animation created of 3D visualization (using Aviso)</p> <p>NOTE: The full set of raw data used to create the results in the paper is available at:</p> <pre><a href="https://doi.org/10.5281/zenodo.7108545">https://doi.org/10.5281/zenodo.7108545</a></pre> <p> </p> <p> </p> <p> </p>
Data for a publication "The role of the preparation route on microstructure and mechanical properties of AlCoCrFeNi high entropy alloy"
<p>A dataset containing data for the published article "The role of the preparation route on microstructure and mechanical properties of AlCoCrFeNi high entropy alloy".</p> <p> </p> <p>For more details, please read the <strong>README Description of data and analysis.txt</strong> file.</p> <p> </p> <p> </p>
Tensile tests results on artificially aged aluminum-magnesium-silicon alloy blanks subjected to different localized heat treatment strategies
<p>Tensile tests results on artificially aged aluminum-magnesium-silicon alloy blanks subjected to different localized heat treatment strategies </p>
A novel flow chamber for biodegradable alloy assessment in physiologically realistic environments: Supporting Data
<p>Experimental data including Excel analysis and microscopy supporting the publication 'A novel flow chamber for biodegradable alloy assessment in physiologically realistic environments' <a href="https://doi.org/10.1063/1.4821498" target="_blank" rel="noopener">https://doi.org/10.1063/1.4821498</a></p>
Supplementary material for "Development of novel carbon-free cobalt-free iron-based hardfacing alloys with a hard π-ferrosilicide phase"
<p>EBSD, EDS and XRD data for the manuscript "<a href="https://www.sciencedirect.com/science/article/pii/S2589152924001042"><span><span>Development of novel carbon-free cobalt-free iron-based hardfacing alloys with a hard π-ferrosilicide phase</span></span></a>"</p>
In situ conductometry for studying the homogenization of Al-Mg-Si alloys and predicting extrudate grain structure through machine learning
<p>This dataset includes the <em>in situ</em> impedance and time/temperature data from [1], grain structure data created by extrusion simulation coupled with physically-based microstructural simulation [2], and the predictions of the feed-forward neural network GRAINN-1/2 [1].</p> <p>[1] Österreicher, J. A., Zivanovic, D., Walenta, W., Maimone, S.,Hofbauer, M., Hovden, S., Tükör, Z., Arnoldt, A., Cerny, A. Kronsteiner, A., Antic, M., Zickler, G., Ehmeier, F., Mikulovic, M., Kunschert, G. (2024) . In situ conductometry for studying the homogenization of Al-Mg-Si alloys and predicting extrudate grain structure through machine learning. <em>Materials & Design</em>, 113070.</p> <p>[2] Hovden, S., Kronsteiner, J., Arnoldt, A., Horwatitsch, D., Kunschert, G., & Österreicher, J. A. (2024). Parameter study of extrusion simulation and grain structure prediction for 6xxx alloys with varied Fe content. <em>Materials Today Communications</em>, <em>38</em>, 108128.</p>
Alloy Sustainability Database - Evaluating the Economic, Environmental, and Societal Impacts of High-Entropy Alloys
<p>This database encompasses 18 elements and details over 400 high entropy alloys (HEAs), Ni-based superalloys, and steels, providing an extensive review of their properties and capabilities. To assess the broader implications of these materials, we have developed nine indicators that evaluate their economic, environmental, and human health impacts. Each indicator is meticulously described, including the methods used for their calculation. This data has been compiled with the goal of integrating considerations of societal impact into the alloy design process, thereby promoting the development of materials that are not only innovative but also socially responsible.</p>
Dataset: Universal Stainless & Alloy Products, Inc. (USAP) 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.
Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy - Supporting Data
<p>Data related to measured dispersoid compositions and calculated dispersoid volume fractions:</p> <p>Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy<br> A.M. Cassell, J. D. Robson, C. P. Race, A. Eggeman, T. Hashimoto, M. Besel.</p> <p>Submitted to Acta Materialia.</p> <p>Datafile of compositions to reproduce Fig.8 in paper (.mat Matlab format)</p> <p>Datafile of predicted dispersoid volume fractions on which calculations were performed to produce Fig. 10 in paper (comment in datafile provides further details)</p>
The behaviour of copper at the nano-scale in an Al-Zn-Mg-Cu alloy, AA7010
<p>Data plots and images accompanying figures to paper.</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.