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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
1,213 datasets
20.0 KB of data in an XLSX file investigates the impact of human and crustal emissions on dissolved silicon levels within wet deposition in a mountainous transitional zone. Authored by Xiaomin Yang and published on figshare, the dataset was last updated in April 2026. It provides insights relevant to understanding the silicon biogeochemical cycle at the watershed scale.
721 Australian clastic coastal depositional environments were analyzed to test geomorphic prediction from numerical wave, tide, and river power values. The dataset was created by the Australian Ocean Data Network, with a record last updated in April 2026. Each environment was independently classified into types like deltas, estuaries, and tidal flats using remotely sensed imagery.
721 Australian clastic coastal depositional environments form the basis for a statistical assessment linking geomorphology to numerical wave, tide, and river power values. This analysis, conducted by the Australian Ocean Data Network, represents a first-of-its-kind systematic numerical study for any global region. The dataset classifies environments into categories like wave-dominated deltas and tidal flats using remotely sensed imagery.
Australian Ocean Data Network provides conceptual geomorphic models for clastic coastal depositional environments. The dataset aids in assessing environmental issues like sediment trapping and habitat change. It was last updated in April 2026.
Conceptual geomorphic models derived from aerial photographs and satellite imagery assist in coastal management decisions. The dataset, created by the Australian Ocean Data Network, was last updated in April 2026. It provides a basis for assessing sediment trapping, turbidity, water circulation, and habitat change in clastic coastal depositional environments.
A project poster from the UK Carbon Capture and Storage Research Centre (UKCCSRC) Call 1, presented in London on 27 June 2016. The work aims to develop an understanding of gas transport mechanisms within mixed matrix membranes for carbon capture. The research investigates composite materials made of particulate fillers in a polymeric matrix to improve gas separation properties.
Warwick STEM Dataset is a collection of 19,769 experimental scanning transmission electron microscopy (STEM) images from the University of Warwick. The images span hundreds of diverse materials projects and were collected between 2010 and 2018. The dataset was originally published as part of the Warwick Electron Microscopy Datasets by Jeffrey Ede and is hosted by Stemson-AI.
Figures, figure data, and Python scripts for generating figures for the research paper "Radiation hardness of open Fabry-Pérot microcavities." The data was authored by Jack Childress and last updated on May 30, 2026. It originates from the Borealis Harvested Dataverse platform.
Turbidimetry data, supplementary figures, and individual turbidimetry curves for the NIPAM-co-DMAEMA dataset. The 12.7 MB ZIP file was authored by Lachlan Alexander and last updated on April 16, 2026.
Experimental data from a study investigating the cellular targeting and uptake of DNA origami-based nucleic acid nanoparticles (NANPs) in liver and neuronal cell models. The dataset, shared by Hyun Min Kim on figshare, was last updated in March 2026 and is stored in an 83.2 MB XLSX file. It likely contains results from systematic evaluations of ligand valency, spacing, linker length, and chemistry on nanoparticle association with on- and off-target cell types.
Geoscience Australia Data provides a study of the upper Permian to Lower Triassic sedimentary succession in the southern Bonaparte Basin, published in The APPEA Journal on 2 July 2021. The data focuses on the Petrel Sub-basin and Londonderry High, interpreting marginal marine facies across formations like Dombey, Tern, Penguin, and Mairmull. This chronostratigraphic framework aims to predict petroleum system elements for gas resources including the Blacktip field.
14 PET hydrolases were evaluated using a high-throughput fluorescence assay to screen for plastic-degrading activity. The dataset, published by Anton A. Stepnov on figshare in 2026, contains results from testing rhodamine 6G-doped PET, polyethylene, and nylon substrates. Fluorescence data from enzymatic depolymerization correlated with quantitative chromatographic analysis of degradation products.
Fanjin Wang provides raw SEM images for the paper 'Active transfer learning assisted sustainable electrohydrodynamic atomization with gamma-valerolactone'. The images depict nanoparticles prepared using the novel solvent gamma-valerolactone under various processing parameters. The data was collected to establish a machine learning model for predicting atomization product properties and was acquired with a Zeiss Gemini SEM under an SE2 detector.
Mohammed Mousa published a dataset containing results from a Shapiro-Wilk normality test for surface hardness. The dataset is a 5.5 KB XLS file, last updated on April 15, 2026. It is licensed under CC-BY-4.0 and hosted on figshare.
ZEJQEO is the Cambridge Crystallographic Data Centre (CCDC) identifier for the experimental crystal structure of a bis(N'-[2,2-dimethyl-1-(oxo)propyl]-N-ethyl-N-methylcarbamimidothioato)-platinum(II) complex. This dataset contains the metadata and structural determination data linked to a 2022 research article in the journal Polyhedron. The data supports analysis of the compound's geometry and bonding, which was studied in the context of its antioxidant capacity.
A zinc(II) coordination polymer exhibits reversible single-crystal-to-single-crystal [2 + 2] photocycloaddition and macroscopic photomechanical motions. The dataset contains crystallographic data from single-crystal X-ray diffraction, capturing intermediate states during stepwise photodimerization and thermal ring cleavage. It was authored by Jianmin Zhou and shared under a CC BY-NC 4.0 license.
A dataset from a 2026 study investigating how polyethylene glycol (PEG) lipid anchors affect lipid nanoparticle (LNP) properties and behavior. The data, published by Chuan-En Lu on figshare, includes results from in vivo biodistribution in mice, mass spectrometry-based proteomics of the protein corona, single-particle biophysical analysis, and in vitro cellular assays. It contains structure-activity relationships for rational LNP design.
Shucheng Qi introduces a rapid preparation method for superamphiphobic surfaces on AZ91D magnesium alloy. The dataset likely contains static contact angles for ethylene glycol (163.7°), rapeseed oil (156.8°), and n-hexane (152.5°) measured on surfaces with fractal floral structures. The data was last updated on figshare in March 2026.
A dataset likely contains experimental results for a rapid coating technique to create superamphiphobic surfaces on AZ91D magnesium alloy. The data was authored by Shucheng Qi and published on figshare in March 2026. The described preparation process takes less than 30 minutes and includes static contact angle measurements for liquids like ethylene glycol, rapeseed oil, and n-hexane.
A 2026 dataset by Shucheng Qi, shared via figshare, detailing the rapid fabrication of superamphiphobic surfaces on AZ91D magnesium alloy. The data likely contains measurements from a magnetron sputtering and chemical deposition technique, including static contact angles for ethylene glycol, rapeseed oil, and n-hexane. The entire preparation process is described as taking less than 30 minutes.