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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,470 datasets
Latin America is the focus of this statistical database on mindfulness-based interventions. It contains data synthesized for a policy brief, likely including metrics on anxiety reduction and cognitive performance improvements. The dataset is hosted on a research data repository and was last updated in 2026.
Replication code for statistical analyses from a 2024 paper on brokering work conditions and wages in a transnational care system. The code was created by author Mathis Herpell and is hosted by Harvard Dataverse. The underlying data on contract details is sensitive and available only upon request.
A synthetic dataset of 10,000 reasoning traces generated by the Claude Opus 4.6 model, designed for Supervised Fine-Tuning and Distillation. It captures the model's internal 'Chain of Thought' with a focus on mathematical accuracy and structured logical deduction.
20 college students (10 men, 10 women, mean age 25) performed balance tests under single- and dual-task conditions. Balance was measured using the Sensory Organization Test (SOT) on a Smart Equitest NeuroCom system, with scores derived from angular displacement differences. The study, authored by Morgan Lanzarin, found statistically significant reductions in balance scores during dual-tasking in specific SOT conditions.
Kappalab is a software toolbox for manipulating capacities and non-additive integrals in a finite setting. It contains routines for handling set functions, computing integrals like Choquet and Sugeno, and analyzing capacities through indices such as the Shapley value. The toolbox was authored by Michel Grabisch, Ivan Kojadinovic, and Patrick Meyer.
conover.test is a statistical software implementation for performing the Conover-Iman test for multiple pairwise comparisons following a Kruskal-Wallis omnibus test. The method, developed by Alexis Dinno, is designed to test for 0th-order stochastic dominance and accounts for tied ranks in the data. It computes k(k-1)/2 pairwise comparisons based on the Conover-Iman t-test-statistic of rank differences.
A 0.3-meter resolution map of sub-aquatic vegetation was produced for the SAV Technical Working Group in cooperation with BP. The map was derived from visible and near-infrared imagery using object-based image analysis and Classification and Regression Tree statistical methods, with manual edits by USGS personnel. Polygons were dissolved with a minimum mapping unit of 4 square meters.
A sub-aquatic vegetation map for Fall 2011, produced for the SAV Technical Working Group under a cooperative workplan with BP. The map was derived from 0.3-meter resolution imagery, segmented and classified using an object-based image analysis (OBIA) and CART statistical approach, with manual review by USGS personnel. The final polygons were dissolved based on class assignments with a 4-square-meter minimum mapping unit.
A dataset likely containing human judgment data on object collisions, used to develop a Bayesian framework for modeling intuitive dynamics. The data was collected by researchers from University College London, MIT, and UC Berkeley for tasks involving mass and causality judgments. The dataset's size and specific structure are unknown.
The bayesm package provides implementations for Bayesian inference models commonly used in marketing and micro-econometrics. It includes models such as regression, multinomial logit, multivariate probit, hierarchical models, and analysis of conjoint data. The package is authored by Peter Rossi and is referenced in the book 'Bayesian Statistics and Marketing'.
New Hampshire's marine recreational fishing catch data is collected by the state's Department of Fish and Game. The department participates in the Atlantic States Marine Fisheries Commission's species monitoring program. The dataset tracks statistics on recreational fish stocks.
0.01-degree resolution provides detailed spatial analysis of sea surface temperature across the Mediterranean Sea. CNR generates daily gap-free maps using satellite infrared measurements and statistical interpolation. This is the Copernicus Marine Environment Monitoring Service nominal operational product for the region.
Daily gap-free sea surface temperature maps for the Mediterranean Sea at an ultra-high 0.01-degree horizontal resolution. The data is derived from infrared satellite radiometer measurements and statistical interpolation. It is produced by GHRSSTCWIC as the nominal operational sea surface temperature product for the Mediterranean Sea within the Copernicus Marine Environment Monitoring Service (CMEMS).
CNR MED Sea Surface Temperature provides daily gap-free maps at a 0.0625-degree horizontal resolution over the Mediterranean Sea. Data are derived from infra-red satellite radiometer measurements and statistical interpolation. It is the CMEMS nominal operational sea surface temperature product for the Mediterranean region.
Mediterranean Sea daily gap-free maps of sea surface temperature at a high 0.0625-degree horizontal resolution. The data are produced from satellite infrared radiometer measurements using statistical interpolation. This is the Copernicus Marine Service nominal operational product for the region, managed by POCLOUD.
Daily gap-free sea surface temperature maps for the Black Sea are produced at a 0.0625-degree horizontal resolution. Data originates from satellite infrared radiometer measurements processed with statistical interpolation. This product is the nominal operational sea surface temperature dataset for the Black Sea provided by the Copernicus Marine Environment Monitoring Service (CMEMS).
Daily gap-free maps of sea surface temperature (SST) for the Black Sea are provided at a 0.01 degree by 0.01 degree horizontal resolution. The data is derived from satellite infrared radiometer measurements and statistical interpolation. GHRSSTCWIC produces this as the CMEMS nominal operational SST product for the region.
Daily gap-free sea surface temperature maps for the Black Sea are provided at a 0.0625-degree horizontal resolution. The data is derived from satellite radiometer infrared measurements and statistical interpolation. GHRSSTCWIC produces this as the CMEMS nominal operational SST product for the region.
CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.01-degree horizontal resolution over the Black Sea. The data are derived from infra-red satellite radiometer measurements and statistical interpolation. It is the CMEMS nominal operational sea surface temperature product for the Black Sea, produced by POCLOUD.
A dataset for market basket analysis, likely containing retail transaction records. It is hosted on Kaggle, but the author, organization, and specific collection details are unknown. The data's size, structure, and time period are not specified in the available metadata.