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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
7,020 datasets
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 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 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 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 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 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 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.
A paper from Forschungszentrum Jülich by Ananda Roy discusses the principles of topological quantum computing as a hardware-level approach to fault tolerance. The description details error sources like decoherence and imperfect operations, and explains the use of non-abelian anyons for logical gates. The dataset's specific temporal coverage and data volume are not provided.
Plasma-based accelerators can produce GeV electron beams over centimeter scales, offering a path to compact particle accelerators. This dataset, derived from analytical theory and particle-in-cell simulations by Ferran Pousa at Universität Hamburg, investigates fundamental sources of energy spread and bunch length growth arising from betatron motion. It provides guidelines for mitigating these effects to achieve the high beam quality required for applications like free-electron lasers.
Carnegie Mellon University researcher Tina Kahniashvili provides secondary data and plotting routines for the paper "Circular polarization of gravitational waves from early-universe helical turbulence". The data directory contains run directories for figures and IDL plotting routines. The dataset's specific row count and file formats are not detailed in the available metadata.
A collection of 81 high-confidence heterodimer protein complexes related to the nuclear pore and mRNA metabolism. The dataset was created by Yu Tang of Peking University as part of a proximity labeling-based profiling study. The specific publication date and data collection time range are not provided in the input.
Eight refined three-dimensional structures of a sea anemone neurotoxin, determined using 216 nuclear Overhauser enhancement distance restraints and 15 dihedral angles from 500 MHz NMR data. The structures describe a core of twisted, four-stranded, antiparallel beta-sheet joined by three loops, with one loop poorly defined. This dataset was created by Rasmus H. Fogh of UNSW Sydney.
A study by Jonas Kjær Jensen of the Technical University of Denmark investigates parameters affecting the autonomy time of icelined solar-powered vaccine coolers. The research uses a dynamic model calibrated with measurements from three experimental setups. Results indicate ice mass and thermal bridge reduction are key factors for prolonging autonomy time during low solar radiation.
Raw absorption images represent the experimental data for the Nature Physics paper 'Decay and recurrence of non-Gaussian correlations in a quantum many-body system' (arXiv:2003.01808). The data includes multiple scans (5100, 8679, 8685, 8696) with images taken before and after ramping a double-well barrier, capturing interference fringes at specific evolution times. Thomas Schweigler from TU Wien provided the data, which is accompanied by a MATLAB script for extracting atomic density.
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.
Extracted optical properties of tissue phantoms using a neural network-based inverse model. The data includes fitted diffuse reflectance and extracted optical coefficients. It was created by Qing Lan at the National Institutes of Health.
Extracted optical properties of phantoms with fixed absorption coefficient using a neural network-based inverse model. The dataset includes fitted diffuse reflectance, extracted absorption coefficient, extracted scattering coefficient, and extracted anisotropy factor. It was created by Qing Lan of the National Institutes of Health.
Source codes and output data from simulations of porous convection with internal heating, an idealized model for hydrothermal activity on Saturn's moon Enceladus. The archive was created by Thomas Le Reun of the University of Cambridge and includes Jupyter notebooks for plotting the output data. The specific number of simulations, rows, and file size are not detailed in the provided metadata.