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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,444 datasets
Jamie Davis created a high-performance angular normalization engine for motion control systems. The dataset, last updated on June 2, 2026, is a 1.7 KB text file describing a module designed to eliminate boundary discontinuities in continuous motion tracking. It is engineered for constant-time execution under 5 nanoseconds with zero heap allocation.
A data-driven risk-aware model predictive control framework for discrete-time linear systems under process noise. The dataset, published under CC-BY-4.0 by Pouria Tooranjipour, includes files in PNG and EPS formats totaling 223.8 KB. It was last updated on June 2, 2026.
18 machine learning and geostatistical methods were compared for spatial interpolation of seabed sand content. The study, using samples from August 2010, found RFIDS and RFOK to be the most accurate methods across three regions, reducing prediction error by up to 7%. It provides guidelines for improving spatial interpolations of marine environmental data across the Australian Exclusive Economic Zone (AEEZ).
An open-access raw source implementation for an embedded High-Level Data Link Control (HDLC) bit-stuffing framing engine. The module, authored by Jamie Davis, is licensed under CC BY 4.0 and was last updated on May 29, 2026. It is designed to evaluate high-velocity telemetry streams for transmission over synchronous serial links.
Feng Tang's lipidomics dataset contains 13 cerebrospinal fluid samples from 10 pediatric patients analyzed by UPLC-MS/MS. The data compares lipid metabolite profiles across acute-phase purulent meningitis, recovery-phase purulent meningitis, acute-phase viral meningitis, and non-meningitic controls. The dataset was last updated on 2026-05-29.
Feng Tang's proof-of-concept lipidomics dataset analyzes cerebrospinal fluid from pediatric meningitis patients. It contains lipid metabolite profiles from 13 CSF samples across 10 patients, grouped by disease type and phase. The data was generated using UPLC-MS/MS on a Q Exactive mass spectrometer and processed with LipidSearch software.
38.2 MB of material property data compiled from multiple published studies, hosted on figshare by Wei-Ting Tang. The dataset includes hydrogen and nitrogen uptake in metal-organic frameworks, joint CO2 and CH2 uptake, water solubility, and LogD distribution coefficients. It was last updated on 2026-05-28.
33 years of historical under-five mortality rates from 1990 to 2022 across the eight divisions of Bangladesh, based on 64,697 records from the Bangladesh Demographic and Health Survey 2022. The dataset was created by Md. Ismail Hossain and includes forecasts up to 2030 using a Bayesian Spatiotemporal model. It enables analysis of regional disparities and national progress in child health.
A 1.6 MB dataset on figshare by Hanieh Karami, last updated May 2026, presents simulation results for an inventory system. The study integrates an LSTM neural network for demand forecasting within a Continuous-Time Markov Chain framework to optimize reorder points and order quantities. It models nonlinear demand patterns influenced by price, discounts, seasonality, and incorporates defective returns.
A randomized controlled trial of 120 post-stroke inpatients assessed over a 3-week intervention period. The study, authored by Chen Wang and last updated in 2026, evaluated the effects of adding Liuzijue Qigong to standard rehabilitation on respiratory function, trunk control, and balance. It includes primary outcomes like forced vital capacity and trunk impairment scores, and secondary outcomes such as balance scales and electromyography data.
A research dataset from figshare, authored by Federico Rossari and last updated on 2026-05-28. It contains spatial immune profiling data from 11 patients with advanced biliary tract cancers (BTCs). The data includes approximately 400,000 segmented and phenotyped cells from 198 regions of interest at the invasive tumor margin, analyzed for CD4, CD8, CD20, and CD163 markers.
A dataset from a study evaluating the probiotic strain Lactiplantibacillus plantarum MGKMVIT11. It includes measurements of probiotic characteristics, optimized folate production yields, and results from antioxidant and anti-inflammatory assays. The data was authored by G. Megala and uploaded to figshare on 2026-05-15.
Laboratory and field test data on fly ash particle formation from co-firing biomass, inferior coal, and solid waste in a 330 MW utility boiler. The dataset includes results correlating coarse particle proportions with coal sulfur content, ignition temperature, and burnout rates, leading to optimization strategies that reduced particles larger than 45 ฮผm from 52.2% to 36.0%. The research was authored by zixiu jia and last updated on 2026-05-10.
5.5 KB of experimental results evaluating four distance measures for scenario reduction in reservoir flood control. The dataset, authored by Ja-Ho Koo and shared under CC-BY-4.0, contains results from a study using a Bayesian Neural Network for inflow scenario generation. It was last updated on 2026-05-27.
Finnish natural gas pipeline measurements from 1999 to 2020 provide the basis for this dataset. It contains 81 large geomagnetically induced current (GIC) disturbance events identified from high-resolution 10-second data at the Mรคntsรคlรค compressor station. The data, authored by Wenjin Zhao, statistically relates these events to 39 intense geomagnetic storms and their interplanetary drivers.
A dataset of organic semiconductor-like molecules generated by a machine learning framework combining hierarchical variational autoencoders, Gaussian mixture regression, and Bayesian optimization. The data was created by Yamato Nakanishi and published on figshare in June 2026. It includes molecules designed to exhibit low reorganization energy and high carrier mobility.
A dataset supporting the design of organic semiconductor molecules using a hierarchical variational autoencoder, Gaussian mixture regression, and Bayesian optimization. The dataset, created by Yamato Nakanishi and last updated in June 2026, contains generated molecular candidates optimized for low reorganization energy and high carrier mobility. The framework identified a new minimum hole reorganization energy molecule via sulfur-to-nitrogen substitution.
A 25.7 KB XLSX file containing data from a machine learning framework for designing organic semiconductors. The dataset, authored by Yamato Nakanishi and last updated in June 2026, was generated using hierarchical variational autoencoders, Gaussian mixture regression, and Bayesian optimization to identify molecules with low reorganization energy and high carrier mobility.
Yamato Nakanishi published a dataset on figshare in June 2026 detailing a data-driven framework for designing organic semiconductor molecules. The dataset likely contains molecular structures and their predicted hole and electron reorganization energies, generated via hierarchical variational autoencoders and Gaussian mixture regression. The file is 79.8 KB in size and is provided in XLSX format.
A conceptual mission architecture document for a single-launch Mars Sample Return (MSR) mission, authored by Wang Xing and last updated on 2026-05-21. The 17.2 KB file details a consolidated vehicle design using hybrid chemical-electric propulsion and autonomous quadruped retrieval, with analyses for the 2029 and 2031 launch windows. It includes trajectory simulations, mass estimations, and robotic energy models to assess feasibility.