Loading...
Loading...
Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,447 datasets
Processed data supporting all figures in the paper "Quantum Statistical Plasmonic Metacrystals". The 41.5 KB XLSX file was authored by Chenglong You and last updated on May 25, 2026. It is licensed for reuse under CC-BY-4.0.
8.8 MB of Excel tables contain defect rate data updated using Bayesian methods. The data includes output from two numerical optimization programs and raw sensitivity analysis results, provided by Qingyu Hong in May 2026 to validate the study's methods.
Contingency tables and Fisher's exact test results for pairwise comparisons of genes absent from large clades. Statistical significance is denoted by asterisks, with p-values less than 0.01 indicated by two asterisks (**) and p-values less than 0.05 indicated by one asterisk (*). The dataset was authored by Xiao Liang and last updated on May 11, 2026.
Contingency tables and Fisher’s exact test results for pairwise comparisons of primate-specific genes. The dataset includes p-values and odds ratios, with statistical significance denoted by asterisks. Author Xiao Liang published this 5.5 KB Excel file on figshare in May 2026.
A 210.7 KB PDF authored by Joan del Castillo, last updated in April 2026, presents model-free methods for estimating extreme probabilities. The methodology is grounded in order statistics theory and requires only the assumption of a finite expectation. It is applicable to almost any sample size and its results are comparable to those from extreme value theory.
Maryam Mahdifar from Mashhad University of Medical Sciences investigated the synergistic anti-cancer effects of galbanic acid and arsenic trioxide on MT-2 cells, an Adult T-cell leukemia cell line. The study measured IC50 values, cell viability, cell cycle distribution, P-glycoprotein activity, and mRNA expression levels for six key genes. Results indicate the combination synergistically inhibited cell proliferation and induced apoptosis.
Suk Joo Bae published a dataset on 2026-04-08, containing data and models for optimizing preventive maintenance schedules for a fleet of repairable systems. The 95.7 KB dataset includes files in CSV, TXT, XLSX, and R formats, applying mixed-effects and frailty frameworks to nonhomogeneous Poisson process models for failure data. It is intended for reliability prediction and cost optimization over a system's lifespan.
Research artifacts for the Neural Autoregressive Flow Bayesian Model Averaging (NAF-BMA) method, a variational inference framework for scalable Bayesian model averaging. The work, authored by Jiefu Zhou, was published in April 2026 and includes simulation and real-data studies demonstrating the method's performance against MCMC and VBMA benchmarks.
469 monthly observations of Brent crude oil priced in Indian rupees from May 1987 to May 2026, constructed from public FRED series. The deposit contains replication data and results for a working paper comparing statistical and machine-learning forecast models, including forecast-accuracy metrics, Diebold-Mariano test results, and XGBoost feature-importance output. It was authored by Adesh Mishra and released on Harvard Dataverse in 2026 under a CC BY 4.0 license.
A 5.5 KB Excel file containing Monte Carlo standard errors for mean empirical standard errors of statistical methods, authored by Simon Turner. The dataset was last updated on May 13, 2026, and is shared under a CC-BY-4.0 license on figshare.
A structure–function relationship study by Taeju Park, last updated in 2026, designed peptides with higher binding affinities to Crk and CrkL SH2 domains. The dataset includes results from saturation transfer difference NMR, fluorescence polarization, and FP competition assays. It demonstrates that substituting amino acids at specific positions improves the binding affinity of YXXP motif-containing peptides.
The D³ VITAL-X Unified Research Archive consolidates four interconnected theoretical manuscripts and computational frameworks. The collection includes work on universal turbulence laws, high-dimensional entropy gradients, quantum vacuum instability, and collapse-regulated astrophysical systems. The research was developed by Team D³ VITAL-X in Bangladesh, with the archive last updated on 2026-05-22.
A dataset containing multi-sensor time-series signals and time-to-failure event data for multi-mode failure prediction, focused on jet-engine systems. The data supports a hierarchical Bayesian joint model integrating a Cox proportional hazards model, a Convolved Multi-output Gaussian Process, and multinomial failure mode distributions. It was published by Sina Aghaee Dabaghan Fard on the figshare platform in April 2026.
Divyabala Kanagaraj's research investigates the approximate controllability of a nonlinear time-fractional impulsive Navier-Stokes equation driven by fractional Brownian motion. The work presents theoretical results on the existence of mild solutions and approximate controllability, validated with an application to turbulence control in an aircraft model. The dataset, last updated in April 2026, consists of a 18.2 KB BIB file.
The Australian Exclusive Economic Zone (AEEZ) is the geographic scope for this dataset. It contains predictions of seabed sand content derived from samples extracted in August 2010 from Geoscience Australia's Marine Samples Database. The study compares 18 spatial interpolation methods, including RFIDS and RFOK, and provides guidelines for improving marine environmental data predictions.
Q-mode factor analysis classified estuarine sediment samples from Broad Sound, Queensland, into two geologically distinct groups representing intertidal and supratidal deposition. The dataset, hosted by the Australian Ocean Data Network, includes analyses of variables such as P2O5, Cu, Pb, Zn, pH, and Eh to identify processes controlling trace element concentrations. It was last updated on 2026-04-16.
Health statistics from the Myanmar Statistical Information Service (MMSIS), last updated in April 2026. The dataset includes indicators for vital statistics, antenatal care, and maternal care. It is provided by the Health Cluster in Excel format under a CC-BY-4.0 license.
Artificial neural network model outcomes predict mechanical properties and CO2 emissions for fly ash and silica fume geopolymer concrete mixes. The dataset contains statistical results from models achieving high prediction accuracy, with R² values between 0.96 and 0.99. Jahanzeb Javed authored this research, which was last updated in April 2026.
Stefano Dalla Bona's 2026 research report provides an empirical case study comparing Null Hypothesis Significance Testing (NHST) and Bayesian inference. The study applies both frameworks to the same hypothesis test using Generalized Linear Mixed Models with a binary outcome under realistic, underpowered experimental design constraints. The 131.3 KB PDF file is licensed under CC-BY-4.0 and was last updated on April 16, 2026.
Flow cytometry data from a 2026 study comparing cytokine production in intestinal immune cells between healthy mice and a mouse model of necrotizing enterocolitis (NEC). The dataset, authored by Junyu He, contains measurements of IL-17A and IL-22 producing cells within three distinct group 3 innate lymphoid cell (ILC3) subsets, with 6 biological replicates per experimental group.