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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,464 datasets
A 39.1 MB ZIP archive contains results from Monte Carlo simulations for control systems sensitivity analysis. The package includes 6 datasets, 27 high-resolution figures, 6 CSV tables, and MATLAB/Simulink models. It was authored by Magdy Meawad and updated in March 2026.
brms is an R package for fitting Bayesian generalized (non-)linear multivariate multilevel models using Stan for full Bayesian inference. It supports a wide range of distributions and link functions for models including linear, robust linear, count data, survival, ordinal, and zero-inflated models. The package was authored by Paul‐Christian Bürkner, with key references published in 2017, 2018, and 2021.
An article by Gary King, published by Harvard University Press, discussing the fragmented history and coalescence of political methodology as a field. The text outlines the evolution of quantitative political analysis, from its varied historical names to modern challenges and examples like ecological inference and spatial autocorrelation models.
Monthly statistical data on red meat slaughtered in provincially inspected plants, categorized by type. The dataset is provided by the Government of Ontario and was last updated in March 2026. It is sourced from the Open Government portal of Canada.
1994 to 2005 data tracks marketed apple production, grower price, and farm value for different varieties in Ontario. The Government of Ontario compiled this statistical series on agricultural commodity outputs. Records include average marketing costs alongside production and price metrics.
Ontario data provides monthly statistics on white meat slaughtered in provincially inspected plants, categorized by type. The dataset is produced by the Government of Ontario and was last updated in March 2026. It is available in XLSX and HTML formats under the OGL-CA-2.0 license.
Ontario egg production data includes average number of layers, eggs per 100 layers, total production, and total value. The dataset is provided by the Government of Ontario and was last updated in March 2026.
The Rosetta COSIMA instrument data contains the operational history of 72 dust collecting substrates from the Rosetta orbiter mission. This dataset covers operations from 2002-05-29 to 2015-06-30, including expose, storage, spectra, and imaging activities. It was produced by the National Aeronautics and Space Administration and supersedes all previous COSIMA dataset versions.
The Rosetta COSIMA instrument data contains the operational history of 72 dust collecting substrates from the Rosetta mission to comet 67P/Churyumov-Gerasimenko. This dataset covers operations from 2002-05 -29 to 2016-09-30, including expose, storage, spectra, and imaging activities, and supersedes all previous COSIMA dataset versions. It was published by the National Aeronautics and Space Administration (NASA).
Fulci, Alessandro provides a 69.9 MB dataset containing R scripts and objects to reproduce a simulation study on global minimum-variance portfolio optimization. The dataset includes code for generating synthetic data, estimation routines, and pre-saved results to avoid re-running computationally expensive steps. It was last updated on March 15, 2026.
Data from 2002-05 29 to 2015-10-20 documents the operational history of the COSIMA instrument on the Rosetta orbiter. It contains records of 72 dust collecting substrates, with operations including expose, storage, spectra, and imaging. This dataset, produced by the National Aeronautics and Space Administration, supersedes all previous COSIMA data versions.
Environment Agency data tracks Water Framework Directive class deteriorations for water bodies in England in 2014. It assesses downgrades against a 2009 baseline and includes statistical confidence estimates for the deteriorations. The dataset is provided by the Government Digital Service under Environment Agency copyright.
Rosetta COSIMA data contains the operational history of 72 dust collecting substrates from the Rosetta orbiter's COSIMA instrument. The dataset includes calibrated housekeeping and raw spectra with onboard automatic mass calibration for the period from 2002-05-29 to 2016-01-12. It was produced by the National Aeronautics and Space Administration and supersedes five previous versions of the COSIMA dataset.
80,661 competition mathematics problems and solutions were curated from the Art of Problem Solving community. The dataset was created by AI-MO (Project Numina) and covers problems from contests like AIME, BAMO, and IMO. It was last updated on the platform in March 2026.
The Women's Empowerment Metric for National Statistical Systems (WEMNS) is a streamlined measurement tool with 12 indicators across four domains: intrinsic agency, instrumental agency, collective agency, and agency-enabling resources. It was developed by IFPRI, Emory University, Oxford University, and the World Bank for use in large-scale surveys across rural and urban areas. The metric employs a counting-based methodology to identify respondents as empowered or disempowered based on indicator adequacy.
An implementation of global envelopes, a statistical method for constructing simultaneous confidence bands for d-dimensional vectors or functions. The method, developed by Mari Myllymäki and collaborators, is described in multiple peer-reviewed publications from 2016 to 2024. It provides a framework for graphical Monte Carlo and permutation tests, central region estimation, and confidence or prediction bands.
ODF Fire History 2000-2025 Dashboard is a map and chart collection showing statistical wildfire occurrence data for which the Oregon Department of Forestry has primary protection responsibility. The data covers a 26-year period from 2000 to 2025. It is published by the State of Oregon and was last updated in April 2026.
Analysis and data related to skills and employment in London, presented by the Greater London Authority. The data is described as a snapshot analysis of key information and was last updated on 2026-03-25. Outputs should be triangulated with other sources for a rounded statistical picture.
UKCCSRC Call 2 project data from a presentation on CO2 Flow Metering through Multi-Modal Sensing and Statistical Data Fusion, presented at the UKCCSRC Edinburgh Biannual Meeting on 15.09.2016. The project, with grant number UKCCSRC-C2-218, was contributed by the British Geological Survey (BGS). The dataset was last updated in the platform on 2026-04-09.
UKCCSRC Call 2 project data on CO2 flow metering using multi-modal sensing and statistical data fusion, presented by the British Geological Survey in April 2016. The dataset's specific content, size, and structure are not detailed in the available metadata. The record was last updated on the platform in April 2026.