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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,069 datasets
A March 10, 2025, systematic review by Liu Yang included 32 randomized controlled trials with 3,961 participants. The dataset contains the analysis results comparing treatments for pediatric atopic dermatitis, focusing on SCORAD and EASI score improvements. It is published under a CC-BY-4.0 license and was last updated on May 1, 2026.
Australian Ocean Data Network provides a dataset for statistical modelling of extreme ocean climate, incorporating storm clustering. The data likely contains multivariate summary statistics for storm events, including maximum significant wave height, wave period, direction, duration, peak storm surge, and time of occurrence, extracted from a 30-year timeseries of observations. The study is part of the Bushfire and Natural Hazards CRC Project Resilience to clustered disaster events on the coast.
A prospective, single-center clinical trial involving 64 participants evaluated a novel digital stethoscope, Skeeper SM-300ยฎ. The dataset contains classifications of lung sounds (normal, crackle, wheezing, decreased sound) from both conventional and digital auscultation, assessed by three specialist raters. It was created by Sue In Choi and last updated in May 2026.
Emin Oguz Inci from KU Leuven provides data from numerical examples for cost optimization of a shedding mechanism as a product family. The data contains results from two optimization methods: brute-force and a guided method using sensitivity analysis on component commonalities. Each data point is stored as a .mat file containing design variables for specific commonality matrices.
Mike Behrisch of TU Wien provides code to verify solution sets of systems of equations over finite algebras equal to the relation ฮ_A^(4), ensuring the clone possesses equational additivity. The dataset includes code to produce input files for the universal algebra calculator (uacalc) to simplify checks for claims in the associated preprint. The dataset is hosted on paperswithcode under an Open Access (green) license.
Junhan Chang published a dataset on figshare in 2026 detailing optimized force field parameters for biomolecular simulations. The 100.8 MB ZIP file contains parameters generated by fine-tuning a DPA-3 model to reduce computational costs. The method was applied to the TYK2 inhibitor and PTP1B systems to improve free energy perturbation calculations.
O. Scott Halpern published a dataset on figshare in May 2026 detailing lead optimization for PAR4 antagonists. The description outlines structural modifications to improve aqueous solubility, resulting in lead compound 32 and its phosphate ester prodrug 44. The dataset likely contains experimental results comparing the solubility and oral bioavailability of these compounds.
A 2026 study by L. Llamazares-Elias introduces a smooth parameterization for anisotropic Gaussian random fields. The work constructs penalized complexity priors for the model's correlation length and diffusion matrix parameters. The dataset includes a PDF and TXT file totaling 5.6 MB, published under a CC-BY-4.0 license.
A 5.4 MB dataset by Yen-Chun Liu, last updated May 8, 2026, describing the QuIP framework for designing experiments with expensive simulators and many qualitative factors. The work focuses on path planning and rover trajectory optimization, using Gaussian process surrogates and integer programming for efficient design selection. Files are provided in PDF, ZIP, and TXT formats.
Simulation results for a joint power-time resource allocation framework for long-range RFID-based wireless power transfer systems. The dataset, authored by Lina Yuan and last updated in May 2026, contains results demonstrating efficiency and fairness improvements over conventional methods. The file is 5.5 KB in size.
5.5 KB of simulation results for a joint power-time optimization framework in 915 MHz RFID-based wireless power transfer systems. The data, authored by Lina Yuan and last updated in May 2026, likely contains performance metrics comparing a proposed MPC-based controller against conventional PID methods. Results demonstrate a 37.6% peak efficiency and a 61.9% reduction in power fluctuations for IoT tags over 0.5โ5 meter distances.
Annual statistical coal mining data produced for the Queensland mining industry. Spreadsheets include raw coal and saleable coal production by region, overburden, distribution, export by port and country, and stockpile balances. The data structure was modified as of 30/04/2023 and is published by the Queensland Department of Natural Resources and Mines, Manufacturing and Regional and Rural Development.
Statistical coal mining data produced for the Queensland mining industry. Spreadsheets detail raw and saleable coal production by mine type and coal type, along with Queensland distribution, interstate distribution, and exports by port and country. The dataset is published by the Queensland Department of Natural Resources and Mines, Manufacturing and Regional and Rural Development under a CC-BY-4.0 license.
93.54% phosphorus recovery was achieved under optimal conditions (pH 7.77, Fe:P ratio 2.24) in a study on treating high-COD acidic wastewater. The research, authored by Kai Cui and last updated in May 2026, developed a parameter prediction model and produced vivianite crystals with a median particle size of 113.4 ฮผm. This work provides a technical path for resource recovery from complex industrial wastewater.
Statistical Bulletin 2015/16 is a government publication from the NSW Government. It is published on data_gov_au and is available in PDF format. The bulletin likely contains official statistics and analyses for the 2015/16 period.
Files S1โ2 contain input and output files for total-evidence Bayesian phylogenetic analyses of hamsters. The dataset includes all necessary information to reproduce the analyses, as well as resulting Bayes factors from stepping-stone sampling and harmonic means. It was authored by Moritz Dirnberger and published on figshare under a CC-BY-4.0 license.
5.5 KB of model parameters from the FoMo generative model for analyzing sequential decision-making in visual foraging tasks. The dataset, authored by Alasdair D. F. Clarke and last updated in May 2026, likely contains interpretable parameters for predicting target-by-target selection behavior. It builds upon a published PLOS Computational Biology paper to incorporate spatial structure into foraging analysis.
A meta-analysis of ten randomized controlled trials assesses Ginkgo biloba extract's efficacy and safety for hyperlipidemia. The analysis, sourced from PubMed, Wanfang, and CNKI up to December 31, 2024, compares effects on cholesterol and triglycerides against Western and Chinese medicine. Results include statistical significance for HDL improvement and age- and dose-specific effects.
Jane COZETTE's dataset contains camera trap data for analyzing seasonal and diel activity patterns of Tenrec ecaudatus in Rรฉunion Island. Data were collected across three contrasting habitats between August 2019 and July 2022, processed into monthly and hourly independent detection events. The dataset includes relative activity indices and environmental covariates like temperature and rainfall.
James H. Dwyer of the University of Southern California authored a chapter focusing on statistical and methodological issues in drug use measurement. The text likely contains discussions relevant to experimental, quasi-experimental, and population studies. Its primary focus is on measuring intervention impact in prevention research.