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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,284 datasets
Nine video files visualize the temporal evolution of 3D spherical mantle convection models, including thermal anomalies and Primitive Particle Concentration (PPC). These files are supplementary visualizations for a manuscript titled "Geodynamic Controls on Mantle Differentiation and Preservation of Long-Term Geochemical Heterogeneity: Focus on the Primitive Undegassed Mantle". The dataset was last updated on 2026-04-09.
Output files from 3D spherical incompressible mantle convection models. The data is linked to a manuscript titled 'Geodynamic Controls on Mantle Differentiation and Preservation of Long-Term Geochemical Heterogeneity: Focus on the Primitive Undegassed Mantle'. The dataset was provided by the British Geological Survey and last updated on April 9,我们发现一个错误，2026.
A 2024 model by Kearsey, T.I., Receveur, M. and Monaghan, A.A. represents the thickness in metres of Upper Devonian strata (Stratheden Group and Kinnesswood Formation) in the Midland Valley of Scotland. The dataset was developed by the British Geological Survey to assess hot sedimentary aquifer geothermal potential. The model is presented with high uncertainty due to limited borehole data and poor seismic reflection in the basin's center.
The Midland Valley of Scotland is the geographic scope of this raster dataset representing depth in metres to the top of the Upper Devonian (Kinnesswood Formation). It was developed by Kearsey, T.I., Receveur, M. and Monaghan, A.A. in 2024 for a model of hot sedimentary aquifer geothermal potential. The model is presented with high uncertainty.
Great Britain's Northern and Southern Provinces are covered by a raster model showing the depth in metres to the top of the early Carboniferous limestone. The dataset, created by the British Geological Survey, has a 2500 m resolution and was last updated in April 2026. It models subsurface geology to identify potential geothermal heat resources.
357 MB of data and code supports a study on the recent decoupling between spring vegetation activity and temperature seasonality. Spatially explicit estimates include vegetation green-up onset, thermal growing season onset, and their difference (ΔSOS). The repository contains R scripts for reproducing results, source data for figures, and a spatial mask of the research area.
A cross-sectional study of 1,429 adults from Shenzhen, China, investigating associations between plasma magnesium levels and glycolipid metabolism indicators. The dataset includes measurements of fasting blood glucose, insulin sensitivity estimators, and lipid ratios. The study was authored by Meilin Li and published on figshare under a CC-BY-4.0 license.
A 16.5 KB dataset by Miriam Aledda, last updated March 2026, evaluating machine learning techniques for selecting informative wavelengths in the 1700–1600 cm−1 spectral region. The study compares sparse modelling, filter-based, and compression methods to guide the design of tunable laser systems for peptide analysis and protein quality assessment in hydrolysates. The work proposes a new algorithm (w-CovSel) to reduce noise and isolate key spectral features for high-performance MIR instrumentation.
A study by Miriam Aledda, published on figshare in March 2026, evaluates machine learning techniques for selecting informative wavelengths in mid-infrared spectroscopy. The work focuses on a case study for peptide analysis and protein quality assessment in hydrolysates. It compares sparse modelling, filter-based, and compression methods to guide the design of tunable laser systems.
Miriam Aledda's research dataset, last updated in March 2026, evaluates machine learning techniques for selecting informative wavelengths in mid-infrared spectroscopy. The 15.4 KB file focuses on optimizing variable selection for designing tunable laser systems targeting peptide analysis and protein quality assessment. It compares methods like SPLS, SPA, CovSel, and proposes a new algorithm (w-CovSel) to isolate key spectral features for high-performance instrumentation.
ICON Ion Velocity Meter (IVM) B data provides measurements from two planar thermal ion sensors, a retarding potential analyzer (RPA), and an ion drift meter (IDM). The dataset is produced by the National Aeronautics and Space Administration (NASA) and was last updated on March 13, 2026. The data is stored in BIN and HTML file formats.
IMP 7 satellite data from NASA provides solar wind plasma parameters at a 2-minute resolution. The dataset includes measurements of temperature anisotropy and the alpha-to-proton ratio. It was last updated on March 13, 2026.
NASA's IMP 8 satellite provides hourly averages of solar wind plasma parameters. The dataset is maintained by the National Aeronautics and Space Administration and was last updated on March 13, 2026. Data is available in BIN and HTML file formats.
ICON Ion Velocity Meter (IVM) data originates from NASA. The IVM instrument consists of two planar thermal ion sensors, a retarding potential analyzer (RPA) and an ion drift meter (IDM). The dataset was last updated on March 13, 2026.
Electron density values derived from the IMAGE satellite's Radio Plasma Imager using an automated fitting program with manual correction. The data points are determined by algorithms that fit enhancements in dynamic spectra to resonance bands or continuum edges, following rules established in published research. This dataset is produced by NASA and was last updated in March 2026.
Hourly averaged solar wind plasma parameters collected by the IMP 8 satellite. The dataset is provided by the National Aeronautics and Space Administration and was last updated on March 13, 2026. The data is available in BIN and HTML file formats.
Nazar Osadchenko's dataset details four lyophilized collagen hydrolysate-based ingredients developed via enzymatic biotransformation. The data combines bovine and porcine raw materials with whey protein concentrate, meat trim hydrolysate, blood plasma proteins, and an api-component. The dataset was last updated on April 5, 2026.
NASA's ISEE-3 satellite collected merged magnetic field and plasma data during its L1 orbit phase. The dataset contains 2-minute resolution ASCII files from 1978 to 1982, with plasma data available until February 19, 1980. It is provided by the National Aeronautics and Space Administration.
ISEE 3 24-s ion plasma data was collected by NASA's International Sun-Earth Explorer 3 spacecraft during its L1 orbit phase. The dataset covers the period from 1978 to 1980. It likely contains time-series measurements of ion plasma parameters relevant to solar wind and magnetospheric studies.
Experimental measurements of overland flow dynamics on a cracked soil slope subjected to drying-wetting cycles. The dataset was authored by Ting-Ting Chen and last updated on April 11, 2026. It is a 411.0 KB XLSX file shared under a CC-BY-4.0 license.