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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,069 datasets
A 2026 study by Swapan Samanta proposes an operational definition of liberation as perpetual self-transcendence. The framework employs mathematical formalization, comparative analysis across six traditions, and empirically testable criteria like the Liberation Coefficient (LC) and Self-Transcendence Rate (STR). It is shared as a 34.8 KB DOCX file under a CC-BY-4.0 license.
Three tobacco types—flue-cured, sun-cured yellow, and sun-cured red—from multiple producing regions were analyzed to identify components affecting sensory quality. Palmitic acid and chlorogenic acid were positively correlated with overall sensory scores, while citric acid and several furan and nitrogen-containing components were linked to negative qualities like irritancy and bitterness. The dataset, last updated May 4, 2026, was created by Tong Wang and shared under a CC-BY-4.0 license.
A probabilistic modeling framework developed within the ENCORE project assesses chemical risk to aquatic ecosystems at the European watershed level. The 4.1 MB file contains a pilot study using a subset of pesticides in Belgium to test a Bayesian network that integrates process-based simulation data with monitoring data from the Waterbase Water Quality dataset. This proof-of-concept, authored by Sophie Mentzel and last updated in May 2026, aims to identify high-risk chemicals by accounting for spatial and temporal exposure patterns.
Sophie Mentzel's supplementary file from the ENCORE project details a probabilistic framework for assessing chemical risk to aquatic ecosystems at the European watershed level. The 1.4 MB PDF, last updated in May 2026, describes a Bayesian network model that integrates process-based simulation data with monitoring data from the European Environment Agency's Waterbase Water Quality dataset. A pilot study focusing on a subset of pesticides in Belgium serves as a proof-of-concept for this risk modeling approach.
A probabilistic modeling framework developed for assessing chemical risk to aquatic ecosystems at the watershed level across Europe. The framework synthesizes multiple information sources, including process-based simulation data and the pan-European Waterbase Water Quality monitoring dataset. A pilot study using a subset of pesticides in Belgium serves as a proof-of-concept.
A 20.6 KB Excel file contains data for a probabilistic modeling framework assessing chemical risk to aquatic ecosystems at the watershed level across Europe. The dataset was created by Sophie Mentzel for the ENCORE project and last updated on May 4, 2026. It integrates prior exposure probabilities from process-based simulations with monitoring evidence from the Waterbase Water Quality dataset for Bayesian updating.
Frederick Currell's MIRaCLE toolkit data and code, published on figshare in April 2026. The dataset includes results and code for simulating the spatio-temporal evolution of radiolytic species like hydrated electrons and hydroxyl radicals. It supports a hybrid continuum/Monte Carlo method designed for fast calculation of time-dependent G-values across long timescales and extreme dose rates.
Thomas Ashley's dataset and code support the manuscript "Probability distributions of particle hop distance and travel time over equilibrium mobile bedforms". The data likely contains measurements of sediment particle movement. It is associated with a research paper currently in revision.
New Statistical Methods for Substance Use Prevention Research is a dataset associated with a research paper by Linda M. Collins from Pennsylvania State University, published on paperswithcode. The dataset likely contains data used to develop or evaluate novel statistical techniques for substance use prevention. Its specific size, format, and variables are not detailed in the available metadata.
A paper by N. M. Kilany of Menoufia University introduces a new two-parameter Power Rayleigh distribution for modeling lifetimes and service times. The work discusses its statistical properties, estimation via maximum likelihood, and includes simulation schemes. An application to a real hydrological dataset demonstrates the model's fit compared to its special cases.
East China Normal University researcher Wenlong Mu authored this reproduction package for the article 'A Hotspot-Driven Semi-automated Competitive Analysis Framework for Identifying Compiler Key Optimizations'. The dataset likely contains tabular data supporting the research framework. It is published on PapersWithCode as a closed-license research artifact.
12.6 KB of statistical significance test results for RL-DE and six comparison algorithms on the CEC2022 benchmark suite. The table, authored by Yang Cao and last updated in May 2026, presents Friedman test average ranks and Wilcoxon signed-rank test pairwise p-values for 12 composite functions at two dimensions.
Mauricio A. Correa-Ochoa published a 19.5 MB RAR archive containing R and Python scripts alongside processed datasets. The materials are intended to replicate the Principal Component Analysis, HYSPLIT trajectory modeling, and statistical figures from an associated study. The archive was last updated on May 27, 2026, and is shared under a CC-BY-4.0 license.
Kyungwon Kim preprocessed EEG data from a mental arithmetic task dataset. The dataset likely contains time-series brain activity recordings. It is derived from an openly accessible source.
Bethany Lyne's dataset summarizes definitions and findings from multiple studies on schistosome infection and alcohol use. The data includes study population details, exclusion criteria, participant counts, statistical methods, and observed associations. It was last updated on May 27, 2026, and is shared under a CC-BY-4.0 license.
Fitzroy River Basin, Queensland, Australia, sediment sources have been identified and quantified using an integrated geochemical and modelling approach. The dataset likely contains geochemical composition data and Bayesian model outputs revealing changes in catchment sediment sources over the Holocene. It was published by Geoscience Australia Data and last updated on 2026-05-14.
Multi-workflow optimization data from the PAW platform, likely related to computational workflow management. The dataset is published on paperswithcode by Maxim Filatov of the University of Geneva. Its specific size, columns, and update history are currently unknown.
Reproduction package for research on Liquid Proof Macros, authored by Henry Blanchette from the University of Maryland, College Park. The dataset is hosted on paperswithcode and is associated with the domains of formal verification and proof assistants. Its specific content and scale require verification after download.
Fabian Muehlboeck from Cornell University created this dataset of formal proofs. The data likely contains machine-checked derivations supporting a paper on type theory. Metadata is minimal; the exact content and structure require verification after download.
A MATLAB toolbox implements three distinct approaches for evaluating probability distribution functions to estimate multivariate transfer entropy. The toolbox was authored by Alessandro Montalto and is available under an Open Access license. The specific implementation details and version history are not provided in the available metadata.