Loading...
Loading...
Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,020 datasets
Global satellite data provides surface spectral reflectance estimates for seven spectral bands at a 500-meter resolution, corrected for atmospheric gases, aerosols, and Rayleigh scattering. The MOD09A1 product is an 8-day composite where the best pixel is selected based on criteria including cloud cover and solar zenith angle. This version (6.1) incorporates calibration improvements for the Terra MODIS instrument, including updates for the period 2012-2017.
MOD09GA Version 6.1 provides atmospherically corrected surface spectral reflectance for Terra MODIS Bands 1-7, serving as foundational input for numerous downstream land products. The dataset includes 500-meter reflectance, observation, and quality bands, supplemented by ten 1-kilometer observation bands and geolocation flags. Calibration improvements in this version address optical crosstalk, response-versus-scan angle, and polarization effects for data from 2012-2017.
A genetic association study by Zhipeng Ye, published on figshare in 2026, investigates causal links between immune cell profiles, blood metabolites, and intrahepatic cholangiocarcinoma. The dataset, 102.3 KB in size, contains results from a two-sample Mendelian randomization analysis with experimental validation. It identifies specific immune traits and metabolites like N-acetylleucine as risk factors and mediators for cancer development.
A table of results from a two-sample Mendelian randomization study investigating causal links between immune cell profiles, blood metabolites, and intrahepatic cholangiocarcinoma. The dataset includes odds ratios and p-values for specific immune traits and identifies potential metabolic mediators. It was authored by Zhipeng Ye and last updated on 2026-05-22.
A genetic analysis dataset from a two-sample Mendelian randomization study investigating causal links between immune cell profiles, blood metabolites, and intrahepatic cholangiocarcinoma. The dataset includes results identifying three specific immune traits as risk factors and two metabolites as potential mediators, with supporting in vitro experimental validation. The dataset was authored by Zhipeng Ye and last updated on 2026-05-22.
A 2026 study by Zhipeng Ye presents results from a two-sample Mendelian randomization analysis investigating causal links between immune cell profiles, blood metabolites, and intrahepatic cholangiocarcinoma. The dataset likely contains statistical results, including odds ratios and confidence intervals for specific immune traits identified as risk factors. Experimental validation targeting the DLAT-leucine metabolic axis in HuCC-T1 and RBE cells is also described.
A dataset presenting results from a two-sample Mendelian randomization study investigating causal links between immune cell phenotypes, blood metabolites, and intrahepatic cholangiocarcinoma (ICC). The study identified three specific immune traits as risk factors and two potential metabolite mediators, with findings validated through in vitro experiments on HuCC-T1 and RBE cells. The dataset was authored by Zhipeng Ye and last updated on May 22, 2026.
Mendelian randomization analysis identifies three specific immune cell traits and two blood metabolites as causal risk factors for intrahepatic cholangiocarcinoma. The dataset includes odds ratios and confidence intervals from a two-sample MR study, with experimental validation targeting the DLAT-leucine metabolic axis. Author Zhipeng Ye published the data under a CC-BY-4.0 license in May 2026.
A Mendelian randomization study identifies three specific immune cell traits as causal risk factors for intrahepatic cholangiocarcinoma. The analysis, published by Zhipeng Ye in 2026, suggests N-acetylleucine and fructosyllysine as potential metabolic mediators. Experimental validation in HuCC-T1 and RBE cell lines showed that disrupting the DLAT-leucine metabolic axis impaired tumor cell proliferation and migration.
A 2026 cross-sectional analysis of 65 older adults from the Atherosclerosis Risk in Communities (ARIC) study. The dataset, authored by Binchong An, examines associations between LDL protein cargo, LDL cholesterol, and three measures of segmental pulse wave velocity. It includes proteomic quantification of LDL proteins and participant demographics.
John-Matthew K. Ang published a dataset on 2026-05-22 comparing murine models for studying Post-Sepsis Syndrome (PSS). The data likely contains results from a study with 7 experimental groups, including survival rates and IL-6 measurements at 6 hours and 1 month post-sepsis induction. The 818.1 KB file is available under a CC-BY-4.0 license on figshare.
NASA's CAMEL dataset provides monthly global land surface emissivity uncertainty estimates at a 0.05-degree resolution. The CAM5K30UC product quantifies total uncertainty by decomposing it into temporal, spatial, and algorithm components across 13 spectral hinge points. This version 3 record is part of the MEaSUREs program and integrates updated MODIS Terra and Aqua calibration data.
Computational fluid dynamics (CFD) simulation results for modeling intracranial atherosclerotic stenosis (ICAS) in the middle cerebral artery. The dataset includes results for an original ~70% stenosis model and idealized variants (30%, 50%, 90%) under three blood viscosity states. It was authored by Lei Zhengyao and last updated on 2026-05-28.
A 25.8 KB dataset from figshare, last updated 2026-05-28, containing results from computational fluid dynamics simulations of intracranial atherosclerotic stenosis. The study by Lei Zhengyao modeled middle cerebral artery stenosis at four severity levels under three blood viscosity states to analyze hemodynamic metrics. It includes data on velocity, pressure, wall shear stress, oscillatory shear index, and time-averaged wall shear stress.
SNF Leaf Optical Properties: Cary-14 contains spectral reflectance and transmittance measurements for boreal forest canopy components. Data were collected from samples of needles, leaves, branches, moss, and litter in Minnesota's Superior National Forest during the summers of 1983 and 1984. These measurements across wavelengths from 0.35 to 2.1 micrometers provide foundational information for modeling canopy reflectance and studying intra-species variability.
2.2 KB of production-hardened C++ source code for a Fixed-Point Alpha-Beta Predictive Tracking Filter, part of the Davis Logic V2 DULLEA framework. Authored by Jamie Davis, this module is engineered for deterministic, low-latency state estimation on bare-metal architectures. The dataset was last updated on June 1, 2026.
A 675.5 KB document contains results from a study evaluating helium-neon laser and ultraviolet radiation as pre-treatment strategies for garlic cloves. The research by Eltohamy A. A. Yousef, published in 2026, measured dose-dependent improvements in plant height, shoot fresh weight, bulb yield, and nutrient use efficiency for nitrogen, phosphorus, and potassium. The optimal treatment was a 60-minute He-Ne laser exposure, which maximized bulb yield by 29.0%.
Two fixed sites and a portable system collected surface flux measurements within the FIFE study area on the Konza Prairie. Data collection occurred daily during five Intensive Field Campaigns in the 1987 growing season and the 1989 summer dry down, with additional portable measurements between June 1 and October 13, 1987. The dataset contains turbulence quantities, including covariances and standard deviations of winds, temperature, water vapor, carbon dioxide, and ozone, to relate mass fluxes to surface biophysical conditions and remote sensing signals.
Elena M. Jahr published a dataset on figshare in June 2026. It contains calculated cross sections and electron spectra for the Interatomic Coulombic Electron Capture (ICEC) process in a model H+ LiH system. The data includes results from two theoretical approaches: using vibrationally resolved photoionization cross sections and applying the Franck-Condon principle.
The MYD11A1 Version 6.1 dataset provides daily global land surface temperature and emissivity estimates at a 1-kilometer spatial resolution. Data is collected by the Aqua satellite's MODIS instrument, processed into a 1200x1200 km sinusoidal grid, and includes quality control bands. This product is produced by NASA and has undergone calibration improvements in its latest version.