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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,080 datasets
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.
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.
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 pollutants—benzene, toluene, ethylbenzene, xylenes, styrene, and 1,3-butadiene—are 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 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.
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.
A dataset titled 'ARC Proof Search TRM 2026 Source' published on Kaggle. The title suggests a connection to automated reasoning, theorem proving, or formal logic challenges, potentially for the year 2026. The dataset's specific content, size, and origin are not detailed in the provided metadata.
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.
Uganda is the geographic focus of this simulated dataset for validating a Bayesian spatiotemporal model of neonatal mortality. The data contains monthly district-level rates of newborn deaths within the first 28 days of life, covering a 14-year period from January 2010. It was created by George Bamwebaze and shared under a CC-BY-4.0 license.
A 5.5 KB Excel file containing statistical comparisons of different batch sizes against a best-performing model using 128 batch size. The dataset, authored by Ashik Mostafa Alvi, was last updated on April 20, 2026, and is shared under a CC-BY-4.0 license on figshare.
A dataset comparing the impact of features on TM use across different statistical methods. The dataset is a 9.5 KB Excel file authored by Pascal Petit and last updated on April 20, 2026. It is licensed under CC-BY-4.0.
5.5 KB of statistical analysis plans authored by Melaku Haile Likka, last updated on April 20, 2026. The dataset contains detailed plans for each research objective, structured in an Excel spreadsheet. It is shared under a CC-BY 4.0 license on the figshare platform.
Bayesian Gamma Regression Estimates of Mean and Dispersion Parameters for Maternal Age at First Birth by Region, Religion, and Residence in Ethiopia. The dataset was authored by Adimias Wendimagegn Agegnehu and last updated on 2026-04 -13. It is a 9.5 KB Excel file available under a CC-BY-4.0 license.
15.8 KB Excel file containing full statistics for phylogenetic ANOVA and two-block partial least squares tests. The dataset, authored by Linnea Lungstrom, was last updated on April 17, 2026. Its specific statistical results likely support research in evolutionary biology and comparative methods.
16.6 GB of neural and behavioral recordings from mice performing an odor discrimination task. The dataset, authored by Luis Boero and last updated in March 2026, captures responses to stochastic odor pulses across dozens of breaths. It includes measurements from olfactory sensory neurons and anterior piriform cortex neurons, correlating perceptual weight with respiration phase.