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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,069 datasets
SynthonBench provides frozen tasks, score tables, and synthon spaces for evaluating search methods in combinatorial chemistry. The benchmark, created by mireklzicar, scores methods fairly against a fixed oracle-call budget without enumerating full product libraries. The dataset page was last updated on 2026-06-28.
A 222-byte text report from 2026 summarizing the validation of harmonized TCGA Lower Grade Glioma datasets. The report confirms the structure, consistency, and completeness of final clinical, expression, copy number alteration, and mutation datasets. It was generated by Aaliah Aly using a script named report.py.
A supplementary document from a study investigating the selective impact of math anxiety on mathematical skills in first-grade students. The study involved 229 Brazilian first graders from 10 public schools, assessing symbolic and nonsymbolic math skills, math anxiety, and other cognitive measures. The document was authored by Angélica Polvani Trassi and last updated in April 2026.
229 Brazilian first-grade students participated in a study examining the selective impact of math anxiety on symbolic versus nonsymbolic mathematical skills. The dataset, authored by Angélica Polvani Trassi and last updated in April 2026, likely contains assessment scores for math anxiety, number sense, calculation, and other cognitive measures. Results indicate math anxiety correlated with lower performance in symbolic skills like number production and comprehension, but not with number sense or calculation.
A 2026 study by Angélica Polvani Trassi investigates the selective impact of math anxiety on symbolic versus nonsymbolic mathematical skills in first-grade children. The dataset likely contains assessment results for 229 Brazilian first-grade students, including measures of math anxiety, mathematical skills (Zareki-R), nonverbal reasoning, and language skills. The file is a 660.8 KB DOCX document published on figshare under a CC-BY-4.0 license.
229 Brazilian first-grade students participated in a study assessing the selective impact of math anxiety on symbolic versus nonsymbolic mathematical skills. The dataset, authored by Angélica Polvani Trassi and last updated in April 2026, contains supplementary material for the research paper. It includes results from assessments of math anxiety, mathematical skills, nonverbal reasoning, and language abilities.
QVal datasets evaluate dense supervision signals like reward, state-value, Q-value, and advantage against Monte Carlo reference labels. The repository, authored by bethgelab, hosts subsets including qval-terminalbench, qval-frozenlake, and qval-openapps. It was last updated on 2026-07-01.
Australian Department of Home Affairs data on Visitor visas granted, released quarterly. The de-identified statistics include dimensions for financial year, quarter, month, client location, citizenship country, and visa subclass. The dataset was republished in 2024 following a privacy review and risk assessment.
Sensor data from 2008 to 2022, collected by the IMOS Wireless Sensor Networks Facility across multiple reefs in the Great Barrier Reef. The Australian Ocean Data Network manages this network, which provides real-time, spatially dense measurements of marine conditions. The facility's funding ceased in June 2022, with some sites decommissioned or transferred to the Australian Institute of Marine Science.
Administrative boundaries for the Federal Republic of Germany at a scale of 1:5,000,000, representing the status as of January 1st. The Bundesamt für Kartographie und Geodäsie provides this data, which includes all hierarchical levels from states down to municipalities. It contains official names, alternative names, statistical key figures, and overviews of administrative assignments.
A 1.1 MB Excel file containing data for each figure from the NMR-Solver project. The full experimental dataset is publicly accessible via Zenodo. Yongqi Jin authored this dataset, which was last updated on 2026-05-28.
A dataset from the Plasma Science and Fusion Center Dataverse contains results from statistical Plasma OPerating CONtour (POPCON) analyses for the SPARC tokamak. The work by Saltzman et al. introduces Monte Carlo methods to quantify the impact of scaling law, profile, and impurity uncertainties on performance predictions. It was last updated on 2026-06-19.
A dataset presenting detection performance metrics with statistical validation using 5-fold cross-validation. The results are reported as mean values with standard deviations. The dataset was authored by Adel Alshamrani and last updated on June 2, 2026.
A distance matrix likely for nodes in a high-speed rail logistics network, used to model emergency truck transshipment after disruptions. The dataset was created by Shuaixin Guo and last updated on April 28, 2026. It is a small file of 5.5 KB, stored in XLS format.
A 5.5 KB dataset by Shuaixin Guo, last updated April 28, 2026, containing random instance configurations used to validate an emergency scheduling optimization framework for high-speed rail logistics. The data supports a Mixed-Integer Linear Programming model and an Adaptive Large Neighborhood Search algorithm designed for truck transshipment following network disruptions. It was used in a case study of the Zhengzhou-Qingdao Express Rail Line.
A 9.5 KB dataset supporting a study on emergency scheduling for high-speed rail logistics disruptions. It was created by Shuaixin Guo and last updated on 2026-04-28. The data likely contains parameters and results for validating a Mixed-Integer Linear Programming model and an Adaptive Large Neighborhood Search algorithm.
Geoscience Australia Data published a simulation experiment in 2026 comparing statistical and mathematical techniques for predicting seabed mud content. The study used samples from the Geoscience Australian Marine Samples database, applied data quality control, and assessed five factors affecting interpolation accuracy across different Australian regions. Outcomes can be applied to modeling physical properties for improved marine biodiversity prediction.
Experimental data from Li-ion batteries used to validate an integrated Bayesian approach for battery health monitoring. The approach uses Relevance Vector Machines and Particle Filters to estimate state-of-charge, state-of-health, and state-of-life. The dataset is provided by the National Aeronautics and Space Administration and was last updated in April 2026.
993 participants aged 40-79 from Izu Oshima, Japan, were analyzed for plasma equol levels and precancerous colorectal lesions via colonoscopy. The study, published in 2024, found no significant association between equol production status and lesion presence. This supplementary material includes the research methodology and results.
Spherical tokamak physics research from the National Spherical Torus Experiment Upgrade (NSTX-U) project, authored by S. Munaretto and a large team of collaborators. The work advances the physics basis for compact fusion pilot plants, focusing on confinement, power handling, and steady-state operation. The dataset was last updated on June 19, 2026.