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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
813 datasets
A 2026 simulation dataset from figshare by Sainadh Singh Kshatri models the reliability of a 3 kW grid-connected photovoltaic inverter. It compares the B10 lifetime—the time by which 10% of units are expected to fail—for inverters using conventional IGBT, super junction MOSFET, silicon carbide MOSFET, and gallium nitride HEMT technologies under a one-minute resolution yearly mission profile for Narsapur, India. The Monte Carlo simulation produced 10,000 samples with 5% parameter variation to model lifetime using a two-parameter Weibull distribution.
A dataset comparing the B10 lifetime, a reliability metric, for different semiconductor technologies in a 3 kW grid-connected photovoltaic inverter system. The data is based on a Monte Carlo simulation with 10,000 samples using a one-minute resolution yearly mission profile for solar irradiance and ambient temperature in Narsapur, India. It was created by Sainadh Singh Kshatri and last updated in April 2026.
A dataset supporting a reliability analysis of a 3 kW grid-connected photovoltaic inverter using wide-bandgap semiconductors. It contains simulation results from a Monte Carlo method with 10,000 samples, modeling the B10 lifetime under a one-minute resolution yearly mission profile for Narsapur, India. The data was authored by Sainadh Singh Kshatri and last updated in April 2026.
A dataset containing reliability simulation results for a 3 kW grid-connected photovoltaic inverter system. The data was generated by author Sainadh Singh Kshatri using Monte Carlo simulation with 10,000 samples to model lifetime with a two-parameter Weibull distribution. It compares the B10 lifetime and performance metrics of conventional IGBT, super junction MOSFET, silicon carbide MOSFET, and gallium nitride HEMT based inverters under a real-time mission profile for Narsapur, India.
NDI Carrara 1 is a 1751-meter stratigraphic drill hole completed in 2020. This dataset presents new high-resolution strontium, carbon, and oxygen isotope data from carbonate samples of the Paleozoic Georgina Basin and Proterozoic Lawn Hill Formation, collected by Geoscience Australia to understand paleo-depositional environments and chemostratigraphy trends in the Carrara Sub-basin.
Zhytomyr, Ukraine, is the location of this archaeological excavation report detailing findings from Zamkova Square in 2011 and 2012. The report describes the discovery of a cultural layer spanning from the mid-8th to early 11th century, the 14th to early 17th century, and the late 18th to 19th century, including about 800 ceramic fragments, metal objects, and five burials. Authored by Andrii Petrauskas and shared on figshare, the report is a 15.6 MB PDF file last updated in 2026.
Simulation and experimental datasets supporting a Nature Communications manuscript on ultra-wide bandgap semiconductor modules. The repository includes TCAD simulation data, electrical characterization results, thermal measurements, ANSYS electrothermal simulations, and dynamic switching waveforms. The data, provided in XLSX format and totaling 12.3 MB, is intended to reproduce analyses and validate findings from the study.
Supplementary files for a research article on catalytic nanogels. The dataset contains PDF files totaling 1.4 MB, authored by Faisal Ali and last updated in May 2026. The data supports findings on the synthesis and testing of carboxymethyl cellulose-chitosan nanogels decorated with silver nanoparticles and reduced graphene oxide.
30 patients with mild cognitive impairment or mild Alzheimer's disease were analyzed for a potential non-invasive imaging marker. The dataset includes TIF and XLSX files totaling 4.6 MB, published by figshare admin karger under a CC-BY-4.0 license. It was last updated on May 13, 2026.
Root-mean-square fluctuation (RMSF) data for random heteropolymer (RHP) backbones, averaged over 10 conformations. The dataset compares polymers individually in solution and as interacting pairs, with data broken down by interacting and non-interacting residues. It was authored by Shayna L. Hilburg and last updated on 2026-05-28.
Molecular dynamics trajectory data from a study combining electronic structure methods and machine learning interatomic potentials for adsorption research. The ZIP archive contains trajectories from AIMD and MLIP-based MD simulations for a FAU-type zeolite with metal cations, adsorbed mercaptopurine, and co-adsorbed water. The data was authored by Sujon Kumar Mitro and uploaded to figshare in May 2026.
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. 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.
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. 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.
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.
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.
2016-17 data on tonnages of household waste sent for reuse, recycling, and composting by UK local authorities. The dataset originates from the statutory WasteDataFlow reporting system and is referenced by DEFRA and the Waste and Resources Action Programme (WRAP). It provides a foundation for analyzing municipal waste management performance across the UK.