Loading...
Loading...
Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,459 datasets
Statistical balance sheet data for total insurance corporations per quarter, broken down by maturity and geography, from 1986 onwards. The dataset is provided by the Ministerie van Binnenlandse Zaken en Koninkrijksrelaties via the eu_open_data platform and is licensed under CC-BY-4.0.
Statistical balance sheet data for insurance corporations, aggregated per year from 1986 onwards. The dataset is provided by the Dutch Ministry of the Interior and Kingdom Relations and is available under a CC-BY-4.0 license. Data is structured by maturity and geography, suggesting a focus on long-term financial stability and regional market analysis.
Results of the Holm sequential procedure for pairwise comparisons against the proposed Felis Catus Optimization (FCO) algorithm on the CEC 2005 benchmark suite, including p-values and adjusted ฮฑ levels. The dataset was authored by Mohammad Salehi and last updated on 2026-04-15. It is a 5.5 KB XLS file available under a CC-BY-4.0 license.
Health Districts of Western Australia provide administrative boundaries aligned with ABS Statistical Area Level 1 (SA1) units. The dataset is maintained by the Department of Health and was last updated in March 2026.
Ryan Lester's replication code bundle for the paper 'Rational Foreclosure: A Stochastic Reference Point Model of Aspirational Abandonment under Positional Drift'. The bundle includes a Python boundary value problem solver, three calibrated parameter sets, and scripts to reproduce Figure 1 and verify six theorems. The code is released under the MIT License and was last updated on April 20, 2026.
Posterior summaries from a Bayesian hierarchical logistic regression model predicting coffee rust incidence. The dataset is a 9.5 KB XLS file authored by Maurice Wanyonyi and last updated on April 21, 2026. It is licensed under CC-BY-4.0 and hosted on figshare.
A 5.5 KB Excel file containing cross-translator positive proportions and statistical significance data. The dataset was authored by Ningning Jia and last updated on April 21, -2026. It is licensed under CC-BY-4.0 and hosted on the figshare platform.
Statistical outputs from cross-platform and cross-translator sentiment analyses, authored by Ningning Jia and last updated in April 2026. The dataset is a 12.3 KB XLSX file, suggesting a small-scale summary of analytical results.
Dan Jiang's dataset provides a statistical comparison of key input features using ANOVA, Chi-square, Wilcoxon, Diebold-Mariano, and Friedman tests to assess their discriminative significance. The dataset is 9.5 KB in size, stored in an XLS file format, and was last updated on April 21, 2026. It is licensed under CC-BY-4.0.
5.5 KB of significance test results for validating performance differences across models, authored by Dan Jiang and last updated in April 2026. The data is stored in an XLS file and is licensed for reuse under CC-BY-4.0. Its small size suggests it likely contains the outputs of multiple statistical tests rather than the raw model data.
A MATLAB GUI software tool presents results for solving the Optimal Power Flow problem. The tool, called opfgui, offers a choice of seven standard IEEE test systems, six objective functions, and ten optimization methods. It was developed by Jordan Radosavljevi to support students in power system analysis courses.
Experimental statistical parameters for rough surface samples equivalent to those in the study by Gonzalez-Valadez et al. The dataset, authored by Shikun Lu, is a 5.5 KB Excel file last updated on April 21, 2026.
Health Region boundaries for Western Australia, aligned with Australian Bureau of Statistics SA1 units. The dataset is authored by the Department of Health and was last updated in March 2026.
Health Service boundaries for Western Australia, defined by the Health Services (Health Service Providers) Order 2016. The dataset aligns with Australian Bureau of Statistics Statistical Area Level 1 (SA1) boundaries and was last updated in March 2026 by the Department of Health.
Six pollutantsโbenzene, toluene, ethylbenzene, xylenes, styrene, and 1,3-butadieneโare estimated daily across the U.S. Gulf States from 2011 through 2016 using Bayesian Maximum Entropy data fusion. The dataset was authored by Praful Dodda and harvested by the ODUM Dataverse. Its last update was recorded on May 25, 2026.
From 19th May to 3rd June 2016, data was collected on a high-pressure test rig at North China Electric Power University. It contains gas-liquid two-phase CO2 flow measurements from a vertical Coriolis meter and a differential pressure transmitter. The data was produced under the UKCCSRC Call 2 project grant UKCCSRC-C2-218 and is hosted by the British Geological Survey.
Spectral representation techniques model the relationship between gravity and topography using mathematical filters called admittance functions. The Australian Ocean Data Network published this theoretical description, which was last updated in April 2026. It details the construction of these functions for elastic and visco-elastic lithospheric rheologies.
Spectral representations of isostatic models describe the relationship between gravity anomalies and topography using mathematical filters known as admittance functions. The Australian Ocean Data Network provides this theoretical exposition, which was last updated in April 2026. It details the construction of these filters via Green's equivalent layer theorem for rheologies like elastic and visco-elastic lithospheres.
A multi-stage stochastic programming model integrates nurse scheduling and bed allocation for epidemic buffer wards in large hospitals. The data-driven framework uses a rolling horizon procedure to dynamically adjust resources under uncertain patient demand. The model coordinates four operational actions: reserved empty beds, bed retrofitting, elective patient admissions, and nurse scheduling by ward and shift.
9.5 KB of simulated monthly neonatal mortality rates at the district level in Uganda, covering a 14-year period from January 2010. The data was generated by George Bamwebaze to test a Bayesian spatiotemporal model for evaluating Sustainable Development Goal (SDG) interventions. The model was formulated using health-related covariates and assessed via Markov chain Monte Carlo (MCMC) simulations.