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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
1,199 datasets
An experimental methodology determines optimal process parameters for manufacturing wood-plastic composite materials via compression molding. The research uses recovered capirona wood and recycled polypropylene, evaluating parameters through standardized tests on molded samples. The author is Walter Tupia, and the dataset is sourced from paperswithcode.
904.6 MB of data from figshare details a catalyst achieving about 1 molC3H6·gcatalyst-1·h-1 propylene productivity at 165 h⁻¹ weight-hourly space velocity for over 300 hours. Author Shangchen Lu uploaded the dataset on 2026-05-27 under a CC-BY-4.0 license. The research attributes high performance to the electronic structures of Pt sites within sub-nm alloyed clusters.
Tanujai Navaneethan's dataset contains experimental results from 45 physical turning tests on Ti-6Al-4V alloy. The research aimed to determine optimum cutting parameters for surface roughness and analyze chip morphology using coated carbide tools with three nose radii. Data was analyzed using Design Expert software to create 3D graphs and validate statistical models.
Conceptual geomorphic models derived from aerial and satellite imagery can assist environmental managers at continental and regional scales. The data, hosted by the Australian Ocean Data Network, is intended to help assess issues like sediment trapping efficiency, turbidity, and habitat change. The record was last updated on 2026-06-27.
The Australian Ocean Data Network provides a dataset analyzing 721 Australian clastic coastal depositional environments. A statistical assessment of wave, tide, and river power was conducted to test geomorphic prediction from numerical values. Geomorphic classifications were established independently from remotely sensed imagery.
Experimental data from the development and testing of hyaluronic acid-functionalised solid lipid nanoparticles for rheumatoid arthritis therapy. The dataset includes characterization results for optimised nanoparticles, such as a particle size of 412.8 nm and an entrapment efficiency of 94.6%, as well as ex vivo and in vivo efficacy studies in arthritic rats. The work was authored by Mangesh R. Bhalekar and last updated on 2026-05-19.
Data from a 2020 ACS Macromolecules publication supports the one-pot synthesis of an amphiphilic ABC triblock copolymer. The collection includes polymerization kinetics, NMR spectra, GPC traces, TEM images, and a self-assembly phase diagram. These experimental results document the formation of nanoscopic asymmetric polymersomes.
48 commercial Sanyo/Panasonic UR18650E cylindrical cells were aged under identical conditions. The dataset contains time-series measurements of current, voltage, and temperature from cyclic aging tests, along with reference performance tests conducted at regular intervals. The data was collected by Dirk Uwe Sauer of RWTH Aachen University.
An experimental program acquired data on the fatigue life of overhead conductors and their constituent wires under controlled conditions. The dataset likely contains results from fretting fatigue tests on AA 6201 T81 and AA 1120 H19 aluminum alloy wires, which form the CAL 900 MCM and CAL 823 MCM conductors, respectively, under a 750 N normal contact load. The data was generated by author Erick Rocha Vieira and is available via the paperswithcode platform.
IUPAC recommendations from 2014 define terms for individual macromolecules, macromolecular assemblies, polymer solutions, and amorphous bulk polymers. The document, authored by R. F. T. Stepto of the University of Manchester, revises and expands upon a 1989 publication, introducing new terms to cover theoretical and experimental developments. It covers general and thermodynamic terms, dilute solutions, phase behaviour, transport properties, scattering methods, and separation methods, though polyelectrolytes are excluded.
A theoretical paper summarizing and comparing constitutive equations derived from molecular network theories for polymer liquids. The work by A. S. Lodge of the University of Wisconsin–Madison focuses on the assumptions underlying models from authors including James, Green & Tobolsky, Yamamoto, Lodge, Carreau, Meister, Kaye, Marrucci, Wagner, Phan-Thien & Tanner, and Johnson & Segalman. New assumptions are introduced to describe network strand creation and loss rates dependent on molecular weight and temperature.
Model biominerals of calcite single crystals containing glycine or aspartic acid were analyzed to investigate the origin of superior hardness in biogenic calcite. Lattice distortions were measured via x-ray diffraction and molecular dynamics simulations, while solid-state NMR confirmed individual molecular incorporation. Nanoindentation hardness increased with amino acid content, reaching values equivalent to biogenic counterparts, explained by a dislocation pinning model.
Yuqiang Zhang's doctoral research at The University of Hong Kong Faculty of Dentistry produced this dataset. It contains raw and processed data from mechanical, color, and bond strength tests on zirconia filaments and printed components, including sample images and simulation files. The dataset is 951.2 MB and was last updated on June 1, 2026.
Electrochemical data from a study evaluating the catalytic effect of Cd-Ag bimetallic nanoparticles on highly oriented pyrolytic graphite and vitreous carbon substrates for nitrate and nitrite ion reduction. The dataset likely contains results from potentiodynamic studies, cyclic voltammetry, and product analysis via colorimetry and ion exchange chromatography. The research was authored by R.E. Ambrusi and sourced from the paperswithcode platform.
A review article authored by Ahmed A. Allam, last updated in June 2026, discussing innovations in electrochemical sensing for detecting the explosive compound TNT. The 940.7 KB document focuses on the integration of nanomaterials, wearable platforms, and artificial intelligence to improve detection sensitivity and field deployment. It is hosted on figshare and available under a CC-BY-4.0 license.
High resolution digital image correlation and electron backscattered diffraction data quantifies deformation on the surface of a Nickel-based superalloy with fine gamma prime precipitates. The data was collected after the material was subjected to 2% strain in tension. Allan Harte from the University of Manchester provided this dataset.
Allan Harte from the University of Manchester provides high-resolution digital image correlation (HRDIC) and electron backscattered diffraction (EBSD) data. This dataset quantifies the deformation on the surface of a solid solution Nickel-based alloy with no gamma prime precipitates after 2% strain in tension. The data supports detailed analysis of microstructural evolution and surface strain localization in advanced alloys.
High resolution digital image correlation and electron backscattered diffraction data quantifies deformation on the surface of a Nickel-based superalloy with coarse gamma prime precipitates. The data was provided by Allan Harte of the University of Manchester and captures the material state after 2% strain in tension.
A dataset from figshare by Luu Thi Viet Ha, last updated in May 2026. It contains experimental results for the photocatalytic degradation of the antibiotic Lev using a Ce-doped ZnO/Fe₂O₃ heterostructure. The data includes performance metrics, such as a 94.72% degradation efficiency achieved in 150 minutes under visible light for an optimized sample.
NASA's dataset provides wet and dry nitrogen-species deposition data for the United States and Western Europe, collected from 1978 to 1994. The data, sourced from official monitoring networks, was processed using kriging to create 0.5 x 0.5 degree resolution gridded maps and site-level monthly averages. It serves as a foundational resource for atmospheric and terrestrial ecosystem modeling.