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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,069 datasets
Sample videos and tracked data from a study on brain size and shoaling dynamics in guppies (Poecilia reticulata). The dataset includes derived measures for statistical testing, created by researcher Alexander Kotrschal. Videos are 30-second samples from longer recordings, with naming conventions indicating trial, sex, group size, replicate, and brain size treatment.
An Excel-based model supplementing the paper 'Multicriteria decisions and portfolio analysis: Land acquisition for biological and social objectives' in Ecological Applications. The model illustrates a constrained optimization based on multiple criteria and a defined annual budget for the MBCF. It was created by Anastasia Krainyk.
Alan Hickey's final year project results include detailed Monte Carlo simulations for generation adequacy in a highly renewable power system. The repository contains files with a 'Case' column describing variations from a reference scenario. The data is published under an Open Access (green) license via paperswithcode.
Roslyn Dakin provides data and scripts on peafowl crest feather vibration and mechanical properties. The fileset includes data, R scripts, Matlab scripts, and figure files necessary to reproduce the figures and analysis. The dataset is published under an Open Access (green) license.
A dataset containing results from a feature optimization study for predicting Baijiu yield during the steaming and distillation process of fermented material. The data likely includes key process parameters and predicted yields, generated by author Qiang Han using a Random Vector Functional Link Networks ensemble method. The dataset was last updated on May 6, 2026.
A dataset used by Pontifes et al. for statistical analysis to assess environmental and host variables as drivers of flea abundance. The data covers three scales: across individuals within a single site, between sites, and across species within a region. It was authored by Gabriel E. García‐Peña and is available via paperswithcode.
Data from an Integrated Electricity and Gas System (IEGS) models an IEEE 5-bus power system and a 6-node gas system. It was created by author Xianghao Zheng for case studies in a 2023 paper on convex optimization under wind power uncertainty. The dataset is published on Papers with Code under an Open Access license.
Model outputs from a Bayesian occupancy analysis, likely for Syrphidae (hoverfly) species. The 1.2 GB data file contains the full results from a model hosted on GitHub, provided by author Adam Duchesne. The dataset was last updated on May 20, 2026.
Data and R script supporting the study 'Mechanical constraints on flight at high elevation decrease maneuvering performance of hummingbirds'. The dataset was created by authors Paolo S. Segre, Roslyn Dakin, Tyson J. G. Read, Andrew D. Straw, and Douglas L. Altshuler. The temporal coverage is not specified in the provided metadata.
Bootstrapping training set and final complexions for IrO2 and RuO2 surfaces obtained from an iterative global optimization. The reference method is Quantum Espresso, and machine learning was done via Gaussian Approximation Potential. The dataset was created by Jakob Timmermann and Yonghyuk Lee for their respective publication.
3,755 bilateral treaty records involving India from 1948 to 2026, constructed by the Nested Treaties Database project. The registry was built from materials maintained by India's Ministry of External Affairs and includes historical-state reconstruction for entities like the Soviet Union and Yugoslavia. Accompanying materials include codebooks, audit files, and replication materials.
Andrew A. Manderson's 2026 paper presents a method for translating elicited prior information into informative joint priors for Bayesian models. The 11.1 MB PDF includes supplementary materials for reproducing the work and is licensed under CC-BY-4.0. The paper illustrates the approach with three examples: a cure-fraction survival model, a setting with prior information on R², and a nonlinear regression model.
A 30-year timeseries of ocean observations underpins statistical models for storm frequency and intensity on Australia's eastern and southern coast. The Australian Ocean Data Network provides this dataset, which includes multivariate storm statistics like maximum significant wave height, duration, and peak storm surge. The analysis focuses on clustered storm events and employs a peaks-over-threshold approach with a 2.93 m wave height threshold.
18 spatial interpolation methods were compared to predict seabed sand content across the Australian Exclusive Economic Zone. The study, based on samples from Geoscience Australia's Marine Samples Database extracted in August 2010, found that RFIDS and RFOK were among the most accurate methods across three tested regions. Model averaging further improved prediction accuracy, with the most accurate methods reducing error by up to 7%.
Statistical significance testing on Latin-based STR datasets (% mean ± std over 5 runs). The dataset is a 5.5 KB XLS file authored by Jian Guo and last updated on June 1, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
The Myanmar Statistical Yearbook 2022 provides an updated compendium of statistics on demographic, geographic, and socio-economic conditions. Statistics are compiled from administrative records of Ministries, Departments, Enterprises, and Private Agencies, as well as Census and Surveys conducted by Government Ministries and the Central Statistical Organization. The data is available in Excel format for years since 2018.
Malawi's 2021 Statistical Yearbook provides official district-level data on health and socioeconomic conditions. The annual publication aggregates statistics from government sources on topics including population, education, finance, and external trade. It is published by the National Statistical Office of Malawi and made available by the Health Cluster.
A summary of statistical analysis per figure from a study on adaptive nociceptive behavior in Drosophila larvae. The dataset, created by Jean-Christophe Boivin, was last updated on April 28, 2026. It is a 36.6 KB XLSX file containing results likely related to behavioral sensitization and neuronal activity.
4.4 MB of data supporting research on optimizing irrigation and nitrogen use to increase net carbon sequestration in global rice production. The dataset, authored by Qingsong Zhu and last updated in May 2026, includes files in Python, R, Excel, and notebook formats. Its specific contents likely include modeled or measured parameters related to agricultural practices and carbon balance.
A theoretical and computational study analyzing heterogeneous reaction-diffusion processes for immobilised Penicillin G Acylase. The work includes a mathematical model with multiple inhibition mechanisms, analytical solutions for concentration profiles, and a sensitivity analysis. The author is L. Niyaz Ahmed, and the dataset was last updated on 2026-04-11.