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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,069 datasets
Occupational injury statistics and rates from 2008 to 2024 cover Canadian companies under federal jurisdiction, including worksites outside Canada. The data is provided by Employment and Social Development Canada and was last updated in May 2026. Tables likely contain summary statistics on injuries aggregated by industry sector.
Plotted data used in figures 2 and 4 of the publication 'Finite steps optimise dissipation in stochastically controlled quantum systems'. The dataset comprises two JSON files providing numerical data for the deterministic and stochastic contributions to the total dissipated work cost for a qubit system. Author Theodore McKeever uploaded the 7.5 KB dataset to figshare in April 2026.
Zahra Cheraghali published this dataset on figshare in May 2026. It contains empirical data used to validate a new Data Envelopment Analysis (DEA) model designed for centralized organizations. The model identifies a subset of outstanding decision-making units (DMUs) without predefined constants.
A dataset for evaluating decision-making units (DMUs) within centralized organizations using Data Envelopment Analysis (DEA). The dataset, authored by Zahra Cheraghali and last updated in May 2026, is stored in an XLS file of 5.5 KB. It supports a proposed mixed-integer nonlinear programming model designed to identify outstanding units without predefined constants.
A 5.5 KB Excel file published on figshare by Zahra Cheraghali in May 2026. It contains overall error values for different k, derived from validating a new Data Envelopment Analysis (DEA) model designed to identify outstanding decision-making units in centralized systems.
A dataset supporting a new mixed-integer nonlinear programming model for Data Envelopment Analysis (DEA). The model identifies a subset of k outstanding decision-making units from n units within a centralized system, eliminating predefined constants to guarantee feasibility and boundedness. The dataset, shared by Zahra Cheraghali on figshare under a CC-BY-4.0 license, was last updated in May 2026.
The dataset likely contains mathematical filters, or admittance functions, representing isostatic processes. It was published by the Australian Ocean Data Network and last updated on June 4, 2026. The data is presented in PDF and HTML formats.
Supplementary Figure 1 from a study on protein phosphatase 1 regulator TIMAP. The data includes Western blot images and densitometry quantifications analyzing EMT marker expression in SK-LU-1 cells following TIMAP depletion. The dataset was authored by Fanni Szalmás and last updated on 2026-05-28.
A study by Jessica Sanchez-Balandran, published on figshare in 2026, analyzes the impact of task complexity on exoskeleton deployment. The dataset contains 397 observations from 29 participants performing setup and takedown procedures on four exoskeletons. It includes measurements of task completion times, success rates, and complexity metrics like step counts and usability problems.
A study by Andrew Maust evaluated the antimicrobial effects of pH, carbonation, and preservatives in a non-alcoholic beer matrix. The research involved 18 factorial treatments plus 2 alternatives, each inoculated with a cocktail of five foodborne pathogens and monitored over 60 days. Samples were analyzed in triplicate on days 1, 7, 14, 28, and 60 using selective and differential plating methods.
Experimental data compares the effects of green-synthesized, chemically synthesized, and bulk zinc oxide nanoparticles as seed priming agents on linseed crop traits. The dataset was created by Yusuf Şavşatlı and last updated in May 2026. It includes results from field trials assessing morphological and yield-related traits under varying nanoparticle concentrations and priming durations.
A 2026 study by Yusuf Şavşatlı compares the effects of green-synthesized, chemically synthesized, and bulk zinc oxide nanoparticles on linseed crop traits. The dataset likely contains results from field experiments where seeds were primed with different nanoparticle types at concentrations of 25, 50, and 75 ppm for 1, 2, and 4 hours, with agronomic traits analyzed using ANOVA, response surface methodology, and machine learning models including KNN, Random Forest, and XGBoost.
Annual and composite maps from 2012 to 2014 visualize inshore lobster fishing activity on a statistical grid. Fisheries and Oceans Canada produced these maps for landings, license-days fished, trap hauls, and catch per unit effort (CPUE). The analysis aims to support marine spatial planning by addressing gaps in coordinate-level commercial logbook data.
Normative values for the SF-36v2 health survey are presented for pre- and post-measurements from two GameBus trial locations. The dataset shows statistically significant improvement in the mean mental health scale score and the 'role limitations due to emotional problems' scale on an aggregate level. The data was contributed by Arash Shahrestani via the paperswithcode platform.
A vocabulary dataset for chemometrics terminology, building on ISO definitions for basic statistical concepts. It was authored by David Brynn Hibbert of UNSW Sydney and focuses on definitions most useful to chemical applications. The dataset covers terms for general data processing, experimental design, classification, calibration, and general multivariate methods.
Ablation study results at 0 dB and -6 dB signal-to-noise ratio. All values are means calculated across 500 Monte Carlo trials and five independent evaluation seeds. The dataset, authored by Hongmin Wang and last updated in June 2026, is a 5.5 KB Excel file.
Math-Graph is a unified, statement-level dependency graph spanning both informal and formal mathematics. It parses millions of theorem-like environments from mathematics arXiv and extracts typed declaration dependencies across 25 Lean 4 projects. The dataset was created by uw-math-ai and was last updated on 2026-06-28.
A Reality Drift Archive collection assembles four video essays and their transcripts from 2024. The materials present a structural model of four related concepts—Synthetic Realness, Filter Fatigue, the Optimization Trap, and Reality Drift—for analyzing digitally mediated environments. The collection is provided for reference, archival preservation, and analytical reuse.
New South Wales, Australia, hosts approximately 140 monthly water quality monitoring sites across 13 regions. The dataset contains point features for the State Water Quality Assessment and Monitoring Program (SWAMP), which has operated since 2007. It is published by Spatial Services (DCS) and is used for annual reporting and indices like the River Condition Index.
Lys-C digestion at 4 °C kept total asparagine modification levels below 4% under all tested conditions, providing a reliable strategy for LC–MS peptide mapping. Chengy Tan authored this dataset, which was last updated on May 8, 2026. The data likely contains experimental results comparing protease digestion methods and their effects on artificial deamidation.