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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,443 datasets
An open-access raw source implementation for an embedded real-time Proportional-Integral-Derivative (PID) control engine. The module, authored by Jamie Davis, is designed to compute closed-loop corrections for hardware actuators while actively eliminating overshoot and integral windup. It is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).
2.2 KB of open-access raw source code implementing a real-time Bit Error Rate diagnostic engine. The module evaluates incoming serial payload arrays against known reference patterns to measure link quality metrics. Authored by Jamie Davis and last updated on 2026-05-29, it is licensed under CC BY 4.0.
An open-access raw source implementation for an embedded Viterbi convolutional decoding engine. The module reconstructs original telemetry frames from corrupted serial bit patterns over high-noise channels. Authored by Jamie Davis and licensed under CC BY 4.0, it was last updated on May 29, 2026.
An open-access raw source implementation for an embedded Reed-Solomon error correction validation engine. The module evaluates incoming serial communications data over Galois Field (GF(2^8)) configurations to isolate and correct corrupted bits. Authored by Jamie Davis and last updated on 2026-05-29.
19 randomized controlled trials involving 1,582 pediatric NAFLD patients form the basis of this analysis. The dataset, published by Ming-Lu Wang on figshare, compares the efficacy of drugs targeting energy, inflammation, fibrosis, and gut microbiota pathways. It includes primary outcomes on hepatic steatosis improvement and secondary outcomes on liver enzymes, lipids, and metabolic parameters.
A 2.4 KB text file containing a software-based Single-Error Correction, Double-Error Detection (SECDED) memory protection overlay. Authored by Jamie Davis and last updated on June 2, 2026, it is designed to safeguard RAM registers and state variables on 32-bit bare-metal architectures like ARM Cortex-M, ESP32, and STM32 against cosmic-ray bit flips and soft errors.
An AI-guided workflow for accelerating drug discovery, developed by Sankalp Jain and last updated in May 2026. The methodology combines reaction-based enumeration, pharmacophore-informed docking, and predictive modeling to optimize structure-activity relationships (SAR). Applied to the target ALDH3A1, it generated about 250,000 virtual analogues and led to a roughly 1,000-fold improvement in biochemical potency.
Deblina Sengupta's dataset from 2026 documents the intensified enzymatic synthesis of butyl butyrate, a prospective aviation biofuel. It includes kinetic and thermodynamic analysis data, such as optimal reaction conditions (44.0°C, 5.6h) and parameters from Bayesian MCMC modeling. The dataset is shared under a CC-BY-4.0 license on figshare.
Jamie Davis provides an adaptive time-series predictive engine and C++ execution harness designed to stabilize signal processing architectures. The dataset includes a C++ implementation file for processing irregular, high-jitter telemetry feeds. It was last updated on 2026-05-28.
Jamie Davis provides a C++ implementation of an adaptive Photoplethysmography (PPG) motion artifact cancellation filter. The system is designed for consumer wearables and remote medical telemetry to isolate true blood volume pulse waves from movement noise. The dataset includes a 9.0 KB C++ source file implementing the filter and a simulation harness.
Han Wang published a dataset on figshare in 2026, associated with a paper proposing a multi-objective optimization framework. The dataset likely contains simulation and optimization results for variable thickness hybrid composite laminates, with a total size of 22.8 MB. The framework combines a back-propagation neural network trained on finite element simulation data with a non-dominated sorting genetic algorithm.
DL-V2-TEMPORAL-ALIGN is a 1.7 KB open-access reference dataset for deterministic hardware clock alignment. Authored by Jamie Davis and released in 2026, it provides a branchless fixed-point calculation engine designed to eliminate computational lag and execution jitter in asynchronous multi-sensor systems.
Jamie Davis authored a C++ implementation of a real-time slew-rate limiter with variable rise and fall constraints. The algorithm is designed for bare-metal embedded systems to protect actuators from destructive transients. The code was uploaded to figshare on 2026-05-31 under a CC-BY-4.0 license.
Module 113 from the Davis Logic V2 project provides a zero-heap, zero-copy, real-time Resettable Integrator with Anti-Windup clamping logic. The component, authored by Jamie Davis and licensed under CC BY 4.0, is designed for safety-critical automated control loops on bare-metal systems to mitigate accumulator overruns and windup. It operates using Q16.16 fixed-point arithmetic and is stored as a 2.3 KB text file.
Module 111 is a C++ source code file for a zero-heap, zero-copy linear interpolator and extrapolator designed for bare-metal embedded systems. It was authored by Jamie Davis and released under a CC BY 4.0 license, with a last update recorded on 2026-05-31. The 3.7 KB file implements a Q16.16 fixed-point algorithm for real-time data projection and coordinate mapping.
Module 108 from the Davis Logic V2 project provides a zero-heap, real-time first-order lag/lead compensator filter designed for deterministic control loop stabilization in bare-metal embedded targets. The module, authored by Jamie Davis and licensed under CC BY 4.0, uses a recursive digital infrastructure with Q16.16 fixed-point arithmetic to optimize transient responses and modify phase margins. The text file, last updated on 2026-05-31, is 3.8 KB in size.
Southern Africa is the focus of this dataset used to validate the MODIS active fire product against higher-resolution ASTER imagery. NASA researchers employed 18 ASTER scenes from August to October 2001, applying logistic regression models to analyze detection probabilities across two MODIS algorithm versions. The data underpins a published 2005 study on improving satellite-based fire monitoring accuracy.
A sample of 309 college students provided keystroke log data through the cloud-based writing platform Clourite. The data was used to extract writing process features via a Bayesian hierarchical mixture model and to identify patterns differentiating stronger and weaker writers. The dataset, authored by Tingxuan Li, was last updated on 2026-05-28.
Kuan-Hsun Wu's research proposes a statistical functional and cumulative distribution function structure for estimating treatment effects like ATE and QTE. The 796.0 KB dataset, last updated in 2026, includes PDF, ZIP, and TXT files describing the methodology and numerical study results. The approach incorporates variable selection to identify informative and network structures in confounders.
Xinglong Lu published a dataset of 246 locally advanced gastric cancer patients who received neoadjuvant immunochemotherapy at The First Hospital of Lanzhou University between 2021 and 2024. The data includes hematological parameters measured before and after treatment, used to predict major pathologic response. The dataset was last updated on 2026-05-25.