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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
1,203 datasets
A digital phenotyping framework developed by Seok Won Jeong uses hyperspectral imaging and spectral unmixing to quantify wheat kernel traits. The dataset likely contains pixel-level spectral unmixing results resolving glassy, intermediate, and mealy endosperm components within individual kernels. The framework provides a scalable, non-destructive approach for assessing grain quality.
A digital phenotyping framework developed by Seok Won Jeong uses hyperspectral imaging and spectral unmixing to quantify wheat kernel traits. Pixel-level unmixing resolves glassy, intermediate, and mealy endosperm components within individual kernels, enabling a continuous spatial vitreousness index. The dataset, last updated in May 2026, is available under a CC-BY-4.0 license.
Hyperspectral imaging and spectral unmixing quantify wheat kernel vitreousness, hardness, and creaseness as independent grain quality dimensions. The dataset likely contains pixel-level spectral unmixing results resolving glassy, intermediate, and mealy endosperm components within individual kernels. Author Seok Won Jeong published the data on figshare under a CC-BY-4.0 license.
A digital phenotyping framework developed by Seok Won Jeong quantifies wheat kernel traits using hyperspectral imaging and spectral unmixing. The method resolves glassy, intermediate, and mealy endosperm components within individual kernels, enabling a continuous spatial vitreousness index. The results demonstrate complementary but largely independent dimensions of grain quality for wheat breeding and assessment.
A digital phenotyping framework developed by Seok Won Jeong uses hyperspectral imaging and spectral unmixing to quantify wheat kernel traits. The method resolves glassy, intermediate, and mealy endosperm components within individual kernels, enabling vitreousness to be expressed as a continuous spatial index. The dataset, last updated on 2026-05-18, demonstrates that hardness, vitreousness, and creaseness represent complementary but largely independent dimensions of grain quality.
A digital phenotyping framework developed by Seok Won Jeong uses hyperspectral imaging and spectral unmixing to quantify wheat kernel traits. The method resolves glassy, intermediate, and mealy endosperm components within individual kernels, enabling vitreousness to be expressed as a continuous spatial index. The dataset, last updated on May 18, 2026, demonstrates complementary but largely independent dimensions of grain quality.
Seok Won Jeong's dataset presents a digital phenotyping framework for wheat kernels. It uses hyperspectral imaging and spectral unmixing to quantify kernel hardness, vitreousness, and creaseness at both kernel and cultivar levels. The dataset was last updated on 2026-05-18.
From 2017 onwards, this dataset provides a monthly-updated breakdown of fires involving lithium batteries and electric vehicles in London. It includes separate tabs for incident data and figures on fatalities and injuries. The data is compiled by the London Fire Commissioner and the Greater London Authority.
CRYSTAL STRUCTURE OF GELATINASE A CATALYTIC DOMAIN is a dataset from the paperswithcode platform. The dataset's author is V. Dhanaraj from the University of Cambridge. The specific data content, size, and update date are not provided in the metadata.
M. Groll from Yale University published a dataset containing the crystal structure of the proteasome inhibitor epoxomicin bound to its target. The data likely contains atomic coordinates and structural parameters derived from X-ray crystallography. This provides a molecular basis for understanding the selectivity of alpha,beta-epoxyketone inhibitors.
A dataset from Texas Data Repository Harvested Dataverse describes the fabrication of highly entangled hydrogels using a custom digital light processing (DLP) 3D printer. The printer, a Monoprinter MONO3-VZ4, operated at a light intensity of 5 mW/cm² and a printing environment maintained at 35 °C to prevent acrylamide crystallization. The dataset was authored by Elizabeth Recker and last updated on 2026-07-06.
Polyvinylidene difluoride solutions in NMP, a key component of lithium-ion battery cathode slurry, were characterized. The dataset includes measurements of steady shear viscosity and extensional rheology for four commercial-grade PVDF systems with different molecular weights and concentrations. Author Qingsong Liu published the data on figshare in May 2026.
iPath2 supplemental information accompanies a 2014 manuscript by Emma Timmins-Schiffman et al. on ocean acidification impacts on the Pacific oyster. The files include a PDF figure showing differentially expressed proteins and pathways under high pCO2 and mechanical stress conditions. The package also contains instructions for uploading input files into the iPath2 tool to interact with the data.
123 industrial-grade large-format lithium-ion pouch cells released with a Nature article on predicting battery cycle life. The cells feature diverse material-design combinations and cycling protocols. The dataset was published by the author Battery-Life and is sourced from Zenodo and Code Ocean.
Raw X-ray diffraction and absorption data for liquid iron-carbon-sulfur alloys measured under high pressure and temperature conditions simulating the Moon's core. The dataset includes Python codes for analyzing diffraction and absorption data and Matlab codes for pressure-temperature calibration. It was produced by Bin Zhao of the Centre National de la Recherche Scientifique.
The Australian Ocean Data Network hosts conceptual geomorphic models for clastic coastal depositional environments. The dataset is derived from aerial photographs and satellite images to inform environmental management decisions. It was last updated on 2026-06-04.
721 Australian clastic coastal depositional environments were analyzed for wave, tide, and river power to test geomorphic predictability. The Australian Ocean Data Network published this statistical assessment, which classifies environments like deltas and estuaries using remotely sensed imagery. The dataset was last updated on June 4, —.
Government of Yukon researchers investigated eleven stratigraphic sections around Whitehorse. The study analyzed grain size distribution and unconfined compressive strength for deposits ranging from silt to coarse gravel. Most sediments represent the glaciolacustrine environment of Glacial Lake Laberge.
Deep Sea Drilling Project Leg 21 recovered Cenozoic and latest Cretaceous sediments at Site 208 on the Lord Howe Rise. The dataset provides new biostratigraphic, magnetostratigraphic, and geochemical data from cores at depths of 540-590 meters below seafloor to constrain stratigraphy around the Cretaceous/Paleogene boundary. The study, published in GSA Bulletin in 2021, reveals a sedimentary record close to the K/Pg bolide impact.
Twenty-two large-format prismatic lithium iron phosphate cells were cycled under four distinct operating conditions over an approximately 18-month campaign from October 2022 to March 2024. Data were recorded at 1-second resolution using industrial-grade battery cyclers and a programmable environmental chamber, with a dedicated thermocouple sensor assigned to every cell. The dataset was collected at the Singapore Institute of Technology with support from the Singapore Energy Market Authority.