Loading...
Loading...
Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,443 datasets
Thirty subjects (10 controls, 20 AF patients) underwent cardiac CT for this proof-of-concept study. Lida Alinezhad published this dataset on figshare in June 2026, evaluating radiomics-based quantification of spatial texture patterns from hemodynamic maps to provide reproducible flow biomarkers for AF classification.
An individual participant data meta-analysis (IPDMA) of 27 studies with 91,404 participants, conducted by Kelly Hughes and published on figshare in 2026. It quantifies the prognostic value of mid-trimester cervical length for spontaneous preterm birth in asymptomatic women with singleton pregnancy. The analysis found a non-linear L-shaped association, with shorter cervical length below 40 mm linked to progressively higher odds of preterm birth.
55 institutionalized older adults with sarcopenia participated in a test-retest study of the SARC-T chair-rise velocity measure. The dataset includes reliability metrics such as an ICC of 0.93, a standard error of measurement of 0.017 m/s, and a minimal detectable change of 0.05 m/s. It was authored by Blanca Pedauyé-Rueda and last updated on 2026-05-29.
A methodological test-retest study of the Sarcopenia Optoelectronic Chair-Rise Velocity Test (SARC-T) in 55 institutionalized older adults with sarcopenia. The dataset contains measurement properties including intraclass correlation coefficients, standard error of measurement, and minimal detectable change. The data was published by Blanca Pedauyé-Rueda on figshare in 2026.
A simulation experiment dataset compares statistical and mathematical techniques for predicting seabed mud content across the Australian margin. The study, sourced from the Geoscience Australian Marine Samples database, uses bathymetry, distance-to-coast, and slope as secondary variables and assesses accuracy with ten-fold cross-validation. Outcomes are intended for improved marine biodiversity prediction.
A 4.0 KB text file authored by Jamie Davis and last updated on June 3, 2026. It contains a deterministic runtime statistical performance analysis engine for embedded systems. The module is implemented in freestanding C++11 and operates in Q16.16 fixed-point precision for hardware-safe metric computation.
A 3.7 KB dataset containing simulation results for a compact dual-band antenna optimized for WLAN (2.4 GHz) and 5–6 GHz applications. The data was generated by Jun-Jiat Tiang using 210 HFSS-simulated samples to train an artificial neural network surrogate model, achieving R² > 0.99 for training and validation. It was last updated on June 1, 2026.
A 2026 master monorepo specification by Dr. Jamie Edward Davis consolidating the Davis Logic V2 framework. The 9.7 KB text file integrates 26 core subsystems for deterministic, zero-heap processing on bare-metal silicon. It is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).
9.7 KB of source code and documentation for the Davis Logic V2 framework, a unified monorepo for deterministic embedded systems. Authored by Dr. Jamie Edward Davis and released under a CC BY 4.0 license in 2026, the dataset consolidates 20 modules for arithmetic, filtering, security, and hardware interface operations. It is designed for mission-critical applications requiring zero-heap, bare-metal execution.
A Bayesian network meta-analysis of 6.3 MB of data from randomized controlled trials compares exercise modalities for cognitive health in older adults. The dataset, authored by Linlin Yang and last updated in May 2026, includes results from pairwise meta-analyses and meta-regressions on dose parameters. It shows significant improvements in executive function, memory, and processing speed, with aerobic exercise ranking higher for some domains.
A systematic review and Bayesian network meta-analysis of 20 randomized controlled trials comparing lipid-lowering agents for cardio-renal-metabolic outcomes in diabetic kidney disease. The analysis, authored by Jun Luo, was registered with PROSPERO and includes results up to May 10, 2025. The dataset is a 6.5 MB document summarizing the study's background, methods, and findings.
A 30-year timeseries of ocean observations from the eastern and southern coast of Australia underpins this statistical analysis of extreme storm events. The dataset includes multivariate summary statistics for storm events, such as maximum significant wave height, duration, and peak storm surge. This work is a key component of the Bushfire and Natural Hazards CRC Project Resilience to clustered disaster events on the coast.
Bradley Jones authored a methodological paper proposing an alternative to Lenth's method for analyzing screening experiments. The work includes simulation studies comparing the new approach to current alternatives, with supporting files available in PDF, JPG, CSV, and TEX formats totaling 315.9 KB. The dataset was last updated on June 3, 2026.
3.0 KB of text codifies an industrial-grade, zero-allocation bare-metal processing framework. The registry, authored by Jamie Davis and licensed under CC BY 4.0, integrates a unified architecture for deterministic execution and high-resolution neuroanatomical mapping. It was last updated on June 1, 2026.
Daily climate data from 2015 to 2025 for Zhengzhou, China, including air temperature, relative humidity, wind speed, solar radiation, and precipitation. The dataset was created by Xiangrong Liu and last updated in May 2026 to support a framework integrating big climate data with differential equation models for environmental prediction. Forecasts derived from the model extend to 2030.
3.0 KB of text codifies an industrial-grade, zero-allocation bare-metal processing framework. The registry, authored by Jamie Davis and licensed under CC BY 4.0, integrates a unified architecture for deterministic execution and high-resolution neuroanatomical mapping. It was last updated on June 1, 2026.
Module 129 details a zero-heap, zero-copy, real-time First-Order Lead-Lag Phase Shifter Network for bare-metal embedded systems. The module provides a recursive single-pole, single-zero filter network for discrete phase adjustments, using 64-bit integer operations and Q16.16 fixed-point format. It was authored by Jamie Davis and published on figshare under a CC BY 4.0 license, with a last update timestamp of 2026-05-31.
Module 128 from the Davis Logic V2 project details a fixed-point Phase-Locked Loop (PLL) loop filter node designed for bare-metal embedded systems. The component, authored by Jamie Davis and released under a CC BY 4.0 license, implements a zero-heap, zero-copy Proportional-Integral (PI) filter for real-time frequency and phase tracking. The dataset, last updated on 2026-05-31, is a 2.3 KB text file describing the mathematical architecture and computational performance of the filter.
Module 118 delivers a zero-heap, zero-copy, real-time First-Order Leaky Integrator with variable loss gain optimized for telemetry accumulation inside bare-metal embedded execution grids. The component processes streams sample-by-sample using a structural first-order lossy difference equation to prevent boundless state drift from sensor biases. Authored by Jamie Davis and released under a CC BY 4.0 license, this 3.4 KB text file was last updated on May 31, 2026.
2026 simulation results and analysis code for a psychometric method. The dataset contains pre-computed results from 270,000 applications of the Stabilizer Variable Test (SVT) across 540 factorial conditions, generated by Salim Yılmaz. It also includes three empirical datasets from a 2023 survey of Turkish adults and nine R scripts for full analysis replication.