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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,063 datasets
A 25.7 KB XLSX file containing data from a machine learning framework for designing organic semiconductors. The dataset, authored by Yamato Nakanishi and last updated in June 2026, was generated using hierarchical variational autoencoders, Gaussian mixture regression, and Bayesian optimization to identify molecules with low reorganization energy and high carrier mobility.
A dataset of organic semiconductor-like molecules generated by a machine learning framework combining hierarchical variational autoencoders, Gaussian mixture regression, and Bayesian optimization. The data was created by Yamato Nakanishi and published on figshare in June 2026. It includes molecules designed to exhibit low reorganization energy and high carrier mobility.
A dataset supporting the design of organic semiconductor molecules using a hierarchical variational autoencoder, Gaussian mixture regression, and Bayesian optimization. The dataset, created by Yamato Nakanishi and last updated in June 2026, contains generated molecular candidates optimized for low reorganization energy and high carrier mobility. The framework identified a new minimum hole reorganization energy molecule via sulfur-to-nitrogen substitution.
NUTS (Nomenclature of Territorial Units for Statistics) regions for Germany, provided as a Web Map Service (WMS). The data includes hierarchical levels NUTS1 (countries), NUTS2 (administrative regions), and NUTS3 (district-free cities and districts). It is published by the Bundesamt für Kartographie und Geodäsie under the Data licence Germany – attribution – Version 2.0.
A Web Map Service (WMS) presents NUTS (Nomenclature of Territorial Units for Statistics) boundaries for Germany at a scale of 1:5,000,000. The data, provided by the German Federal Agency for Cartography and Geodesy (BKG), includes hierarchical levels NUTS1 (countries), NUTS2 (administrative regions), and NUTS3 (district-free cities and districts). The geometry is derived from the VG5000 administrative areas database.
A conceptual mission architecture document for a single-launch Mars Sample Return (MSR) mission, authored by Wang Xing and last updated on 2026-05-21. The 17.2 KB file details a consolidated vehicle design using hybrid chemical-electric propulsion and autonomous quadruped retrieval, with analyses for the 2029 and 2031 launch windows. It includes trajectory simulations, mass estimations, and robotic energy models to assess feasibility.
Statistical information on business produced and disseminated by the National Statistical Institute of Bulgaria. The dataset is provided by the Data Department of the State e-Government Agency and aggregated via the eu_open_data platform. The specific variables, time range, and geographic scope are not detailed in the available metadata.
A methodological article by David J. Nott connecting Bayes' linear analysis and regression-adjustment approximate Bayesian computation (ABC) techniques. The work proposes a new method for combining high-dimensional, regression-adjustment ABC with lower-dimensional approaches to improve joint posterior estimation. Supplementary materials for the article are available online.
A game designed as an educational tool for learning statistical methodology, particularly modern nonparametric response surfaces, sequential design, and optimization. It is based on an experiment game first played over 40 years ago and includes a case study involving a cohort of students at Virginia Tech. The game is implemented as a blackbox simulation within a Shiny app interface.
Experimental data describes the discovery and characterization of FYJ-195, a type II FLT3 inhibitor for acute myeloid leukemia. The dataset includes in vitro IC50 values against specific resistance mutations and in vivo tumor growth inhibition results from xenograft models. Jin Yang authored this dataset, which was last updated on 2026-05-23.
An integrated geochemical and Bayesian modelling approach identified and quantified sediment sources in the Fitzroy River coastal zone. The study found the proportion of basaltic material deposited has increased in recent time, now the dominant catchment source with an estimated enrichment of ca. 3 relative to catchment abundances. This dataset, sourced from the Australian Ocean Data Network, was last updated on 2026-06-16.
P. Richard Hahn of Arizona State University developed a slice sampler for Bayesian linear regression models. The sampler is designed to be faster than custom implementations for models with many regressors and can work with any prior with an evaluable density function. It is intended for investigating new shrinkage priors without requiring custom sampling algorithms.
A subset of data from the original scientific publication by Corbin et al. supports the QUIQI method for analyzing motion-corrupted MRI relaxometry data. The package includes analysis results computed by running the original publication's code on the provided data subset. Quentin Raynaud from the University of Lausanne authored this supporting material.
Divan A. Burger proposes a new bi-phasic non-linear regression model for characterizing the early bactericidal activity of tuberculosis treatments. The model analyzes colony forming unit count data from patient sputum during the first days or weeks of treatment. Statistical inference about treatment efficacy is based on a Bayesian non-linear mixed effects regression model fitted jointly to all trial patient data.
Over 400,000 proof method applications from the Archive of Formal Proofs, each with over 100 extracted features. The dataset was created by Yutaka Nagashima at Universität Innsbruck to facilitate machine learning for theorem proving. It is formatted for easy use by practitioners without expertise in formal logic.
A large field experiment in Kenya provides the empirical basis for this research. The dataset likely contains behavioral data used to test a new class of strategy-robust estimators designed to remain stable when individuals can manipulate their input features. This work explicitly models the costs of manipulating different behaviors to identify decision rules that are stable in equilibrium.
Diffusion magnetic resonance imaging data acquired from fixed rat brain and spinal cord, normal human brain, and a physical phantom. The data was used for evaluating diffusion kurtosis imaging contrasts, comparing them to diffusion tensor imaging, and optimizing b-values. Brian Hansen from Aarhus University provided this data, which may support a wide range of dMRI analysis strategies.
A dataset from the Australian Ocean Data Network, last updated on 2026-06-23, describes the development of cross-spectral techniques for analyzing gravity and topography relationships. It represents isostatic processes using mathematical filters, or admittance functions, which can be constructed via Green's equivalent layer theorem. The description suggests the dataset likely contains functions representing isostatic processes defined by elastic and visco-elastic lithospheric rheologies.
Raw results from molecular dynamics simulations performed for a 2014 Chemical Science paper on catenane cooperativity. The fileset contains simulation data for self-assembled tetrameric azobenzene macrocycles, cyclodextrins, and their [2]- and [3]catenane structures. Files include 40 ns trajectory files, topology/parameter files, and time-series data for distances, solvent-accessible surface area, and hydrogen bonds.
A double-blind, crossover, randomized study with 30 volunteers compared the latency times of Articaine, Lidocaine, Levobupivacaine, and Ropivacaine. The data were collected using a pulp tester at two-minute intervals after a posterior superior alveolar block, with statistical analysis performed using t-student, Friedman, and Kruskal-Wallis tests. The study, authored by Ana Carolina Saggin Britto, found no statistically significant differences in latency, with a median of two minutes for all anesthetics.