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”
Supplementary initial and final MD configurations for the manuscript: General-purpose machine-learned potential for 16 elemental metals and their alloys
<p>Extended XYZ files for the initial and final configurations of the molecular dynamics simulations from the article 'General-purpose machine-learned potential for 16 elemental metals and their alloys' (https://arxiv.org/abs/2311.04732).</p> <p><span>The Supplementary Data is contained in the folder named:<br>1) Polycrystalline-MoTaVW: <span> </span>The plasticity MD simulations in multi-principal element alloys.</span></p> <p><span>2) MoTaVW-radiation: The primary radiation damage MD simulations in multi-principal element alloys.</span></p> <p><span>3) Goldene: Comparisons between UNEP-v1 and EAM models in MD simulations.</span></p> <p><span>4) NiAlMo: Comparisons between UNEP-v1 and EAM models in MCMD simulations.<br>5) AlCrCuNiV: Comparisons between UNEP-v1 and EAM models in MCMD simulations.</span></p>
Source Data for the manuscript: General-purpose machine-learned potential for 16 elemental metals and their alloys
<p>***Source Data***<br>This folder contains multiple .txt files that provide the source data for the figures and tables presented in the paper: "General-purpose machine-learned potential for 16 elemental metals and their alloys."</p> <p>The source data are organized in the following folders and files:</p> <p>1) Fig2<br>2) Fig3<br>3) Fig4<br>4) Fig5<br>5) Fig6<br>6) FigS1<br>7) FigS2<br>8) FigS3<br>9) FigS4-6-pure<br>10) FigS7-9-binary<br>11) FigS10-12-ternany<br>12) FigS13-15-quaternary<br>13) FigS16-17-quinary<br>14) FigS18-20<br>15) FigS21<br>16) FigS22<br>17) FigS23<br>18) FigS26<br>19) Table1-Element-atoms-GPU-Speed.txt<br>20) Table-S1-DFT-EAM-UNEP-Elastic.txt<br>21) Table-S2-DFT-EAM-UNEP-Mono-vacanc.txt<br>22) Table-s3-Surface-100-110-111-DFT-EAM-UNEP.txt<br>23) Table-S4-Melting-EAM-UNEP-Exp.txt</p>
Ptychotomography datasets of an ultrafine eutectic Ti-Fe-based alloy processed by additive manufacturing
<p>The development of metals tailored to the metallurgical conditions of laser-based additive manufacturing is crucial to advance the maturity of these materials for their use in structural applications. While efforts in this regard are being carried out around the globe, the use of high strength eutectic alloys have, so far, received minor attention, although previous works showed that rapid solidification techniques can result in ultrafine microstructures with excellent mechanical performance, albeit for small sample sizes. In the present work, a eutectic Ti-32.5Fe alloy has been produced by laser powder bed fusion aiming at exploiting rapid solidification and the capability to produce bulk ultrafine microstructures provided by this processing technique.</p> <p>The uploaded datasets are a raw dataset of the 3D microstructure of the eutectic Ti-32.5Fe alloy acquired by ptychotomography at the beamline ID16A of the ESRF in Grenoble, France and a corresponding binary dataset for the bright Ti-Fe phase.</p> <p>The datasets have a dimension of 1173 x 1182 x 1356 px³ with a voxel-size of (10 nm)³.</p> <p>raw dataset: "RAW_10nm_ptycho_1173x1182x1356.tif"</p> <p>binary dataset of the Ti-Fe phase: "TIFE_BINARY_10nm_ptycho_1173x1182x1356.tif"</p> <p>more details can be found in J. Gussone, K. Bugelnig and P. Barriobero-Vila et al. / Applied Materials Today 20 (2020) 100767. https://doi.org/10.1016/j.apmt.2020.100767<br> </p>
Effect of cyclic ageing on the early-stage clustering in Al-Zn-Mg(-Cu) alloys
<p>Raw data of all tensile tests has been put up along with the pos and range files for all the datasets that have been used in the paper. Further analysis can be done using IVAS software (CAMECA) for the results presented.</p>
MultiCenter IDE Study of the PEEK-OPTIMA™ Femoral Component vs a CoCr Alloy TKA Femoral Component of Similar Design
ClinicalTrials.gov study NCT06627673. IPD Sharing: NO. Countries: 0. Publications: 7.
Comparison of CoCr Alloy and TiN Coating in TKA
ClinicalTrials.gov study NCT04701359. IPD Sharing: NO. Countries: 1. Publications: 7.
Assessment of Stent Malapposition and Neointimal Coverage on Optical coHerence Tomography at Post-procedure and 3 Months After Platinum Chromium Alloy Of the Element™ Stent Implantation
ClinicalTrials.gov study NCT01581515. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Long-term Study to Evaluate Different Dental Implant Alloys in Straumann 3.3mm Diameter Bone Level Implants
ClinicalTrials.gov study NCT01878331. IPD Sharing: NO. Countries: 1. Publications: 2.
3D-printed Porous Titanium Alloy Cages Versus PEEK Cages in Patients With Osteoporosis
ClinicalTrials.gov study NCT04086784. IPD Sharing: YES. Countries: 1. Publications: 12.
Noble Meta Alloy Coated Catheters in Patients With Long Term Catheterization
ClinicalTrials.gov study NCT04825314. IPD Sharing: NO. Countries: 1. Publications: 1.
Firebird2 Cobalt-Chromium Alloyed Sirolimus-Eluting Stent Registry Trial
ClinicalTrials.gov study NCT00868829. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Clinical Trial of Dental Implants in Titanium-zirconium Alloy
ClinicalTrials.gov study NCT02681250. IPD Sharing: NO. Countries: 1. Publications: 18.
Data from manuscript: Assessment of the 7075-T6-aluminum-alloy/microalloyed-dual-phase-steel joint for automotive chassis
Open the record for dataset details and reuse information.
High resolution deformation data from the surface of a Nickel-based alloy: Solid solution
<p>High resolution digital image correlation (HRDIC) and electron backscattered diffraction (EBSD) data provided that quantifies the deformation on the surface of a solid solution Nickel-based alloy with no gamma prime precipitates after 2% strain in tension.</p>
Influences of reinforcement and displacement rate on microstructure, mechanical properties and fracture behaviors of cylinder-head aluminum alloy
<p>In the present work, the material microstructure, mechanical properties and fracture behaviors of cylinder-head aluminum alloys were experimentally investigated under different displacement rates and with and without the reinforcement. By the addition of nano-clay-particles and the heat treatment, it was tried to improve mechanical properties of the base material. For this objective, after the fabrication of as-cast and nano-composite samples, respectively by gravity and stir-casting; tensile testing was done on standard samples at the displacement rate of 0.1, 1 and 10 mm/min. Then, the sensitivity analysis was performed on experimental data to find quantitatively effects of two parameters of the reinforcement and the displacement rate. In addition, the optical microscopy and the field-emission scanning electron microscopy were utilized for the microstructure and the fracture surface, plus the energy dispersive X-ray analysis. Obtained results indicated that the microstructure of the aluminum alloy was finer due to the reinforcement. Besides, both the ultimate strength and the elongation enhanced. The regression analysis implied that the strength was sensitive only to the reinforcement. Although the elongation was sensitive to both the reinforcement and the displacement rate. Investigations of fracture surfaces showed brittle behaviors with cleavage and quasi-cleavage marks.</p>
Electroless Deposition of Ni-Fe alloys on Scaffolds for 3D Nanomagnetism
<p>Open data for "Electroless Deposition of Ni-Fe alloys on Scaffolds for 3D Nanomagnetism ", published in Small (2020), <a href="https://doi.org/10.1002/smll.202004099">https://doi.org/10.1002/smll.202004099</a></p>
Using real-time UV-visible spectrophotometer to assess an Al-Zn-Mg-Cu alloy's dissolution in acidic solution
<p>Applicability and limitations of using online non-destructive UV-vis spectrophotometer to monitor the dissolution of an Al-Zn-Mg-Cu alloy in HCl-containing solution were studied. ICP-AES results indicate that the spectrum absorbance at 252 nm is mainly attributed to Cu-containing complexes. Surprisingly, an hours-long "induction" period was observed from UV-vis results. This is not a real indicator of induction for Al dissolution as revealed by electrochemical impedance spectrum, actually it reflects the alloy's galvanic corrosion nature that Cu species are released after Al, Zn, Mg species.</p>
High Areal capacity porous Sn-Au Alloys with Long cycle Life for Li- ion Microbatteries
<p>Figures 1, 2, 3 & 4</p>
Data from: Anodic behaviour of Cu, Zr and Cu-Zr alloy in molten LiCl-KCl eutectic
The anodic dissolution behaviours of Cu, Zr and Cu–Zr alloy were analysed in LiCl–KCl at 500°C by anode polarization curve and potentiostatic polarization curve. The results show that the initial and fast-dissolving potentials of Cu are −0.50 and −0.29 V, and Zr are −1.0 and −0.88 V, respectively. But, in the Cu–Zr alloy, the initial and fast-dissolving potentials of Cu are −0.52 and −0.41 V, and Zr are −0.96 and −0.92 V, respectively. The potentials satisfy the selection dissolution principle that Zr in the alloy dissolves first, while Cu is left in the anode and is not oxidized. The passivation phenomenon of Zr is observed in the quick dissolution of Zr, while it is not observed in the Cu–Zr alloy. Moreover, from the above anodic dissolution results, potentiostatic electrolysis of Cu–Zr alloy was carried out at −0.8 V for 40 min, and the anodic dissolution mechanism and kinetics of Zr in Cu–Zr alloy were also discussed. In the initial stage, Zr dissolves as Zr4+ ions from the alloy surface and enters into the molten salt, leaving a Cu layer called 'dissolving layer' on the surface of the alloy. After that, another layer between the matrix and 'dissolving layer' called 'diffusion–dissolution layer' appears. Zr diffuses in the alloy matrix and dissolves as Zr4+ ions on the surface of the 'diffusion–dissolution layer' continuously, and Zr4+ ions diffuse through the 'dissolving layer' and enter into the molten salt finally. In addition, the factors affecting the dissolution of Cu–Zr alloy, such as time and potential, were also investigated. The dissolution loss increases with the increasing dissolution potential and time, while the dissolution rate increases with the increasing dissolution potential and declines with the prolonging dissolution time.
Unraveling the Effect of Rh Isolation on Shallow d States of Gallium–Rhodium Alloys
<p>Dataset for "Unraveling the Effect of Rh Isolation on Shallow d States of Gallium–Rhodium Alloys"</p> <p>https://pubs.acs.org/doi/full/10.1021/acs.jpcc.3c04350</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.