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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,446 datasets
4.4 MB of data supporting research on optimizing irrigation and nitrogen use to increase net carbon sequestration in global rice production. The dataset, authored by Qingsong Zhu and last updated in May 2026, includes files in Python, R, Excel, and notebook formats. Its specific contents likely include modeled or measured parameters related to agricultural practices and carbon balance.
A theoretical and computational study analyzing heterogeneous reaction-diffusion processes for immobilised Penicillin G Acylase. The work includes a mathematical model with multiple inhibition mechanisms, analytical solutions for concentration profiles, and a sensitivity analysis. The author is L. Niyaz Ahmed, and the dataset was last updated on 2026-04-11.
Experimental measurements of density and sound speed for binary mixtures of isoamyl alcohol with three aromatic amines across temperatures from 298.15 K to 313.15 K. The dataset includes derived properties like excess volume and isentropic compressibility, analyzed using theoretical models and FT-IR spectroscopy. It was authored by Neelakanti Sunkanna and published on figshare under a CC-BY-4.0 license.
A dataset from the Australian Ocean Data Network presents results from applying numerical techniques to geochemical data from estuarine sediments in Broad Sound, Queensland. Q-mode and R-mode factor analyses, discriminant analysis, and regression were used to classify samples and identify processes controlling concentrations of P2O5, Cu, Pb, and Zn. The data was last updated on 2026-05-05.
Yang Yang's Mendelian randomization study analyzes causal links between gut microbiota, cerebrospinal fluid metabolites, and schizophrenia. The dataset includes results from bidirectional two-sample MR analysis, multivariable MR, and MR Bayesian model averaging, identifying 20 risk-associated taxa and 8 protective taxa. The data was last updated on April 20, 2026.
A study from 2026 by Willi Koller integrates MRI-based musculoskeletal modelling and finite element analysis to quantify acute changes in hip joint contact forces and femoral growth plate stresses in three typically developing children. The data likely contains results from walking trials under preferred, in-toeing, and out-toeing conditions. The dataset is shared under a CC-BY-4.0 license on figshare.
Table S13 summarizes the results of a Generalized Linear Mixed Model (GLMM) analysis on the orientation behavior of Crown-of-Thorns Starfish (COTS) towards coral odor cues, based on a full dataset of 171 observations. The table, authored by Masumi Kamata, includes statistical outputs such as effect estimates, standard errors, confidence intervals, Z-values, p-values, and the Akaike Information Criterion. It was last updated on May 6, 2026, and is shared under a CC-BY-4.0 license.
95 trials of Crown-of-Thorns starfish orientation behavior towards coral odor cues were analyzed using a Generalized Linear Mixed Model (GLMM). The table includes statistical outputs such as effect estimates, standard errors, confidence intervals, Z-values, p-values, and AIC. Masumi Kamata authored this supplementary table, last updated on May 6, 2026.
French volunteer firefighters (N=1,149) participated in a survey measuring calling dimensions, satisfaction, emotional exhaustion, and turnover intention. The dataset contains results analyzed via Bayesian linear regression and was authored by Marina Burakova. It was last updated on 2026-05-28.
A stochastic mathematical model investigates crosstalk between RyR2 and IP3R2 calcium release channels in ventricular cardiomyocytes. The model, authored by DeAnalisa C. Jones and updated in 2026, simulates local calcium spark events under healthy and heart failure conditions. It incorporates spatial channel arrangements and gating properties based on published immunohistochemistry and super-resolution microscopy data.
28 articles involving 4,382,897 patients were analyzed to evaluate the impact of antidiabetic drugs on dementia risk. The study, authored by Yang Yu and uploaded to figshare in April 2026, used a Bayesian network meta-analysis model to compare drug efficacy. Results indicate insulin had the most pronounced effect in reducing dementia incidence risk compared to placebo.
38 Asian economies from 2000 to 2020 form a balanced panel for this study. The data was used to construct a Standard of Living Index and test the Institutional Threshold Hypothesis regarding foreign direct investment. The dataset was authored by Pawan Singh and last updated in May 2026.
Simulation data for the escape dynamics of chiral active Brownian particles from confined domains. The data was generated by numerically solving governing partial differential equations to compute mean first passage times as functions of particle orientation, speed, angular velocity, and domain geometry. The dataset was authored by Zhiwei Peng and last updated on June 6, 2026.
Digital map boundaries for areas within Lincolnshire, sourced from Ordnance Survey and the Office for National Statistics. The data covers themes including Administrative, Electoral, Statistical, and Health boundaries. It is provided under the UK Open Government Licence, requiring specific copyright attribution upon use.
A computational framework for automated cell tracking and crossover frequency estimation from dielectrophoresis microscopy data. The dataset includes results from long-term time-lapse imaging experiments involving 13,200 frames and hundreds of tracked cells. It was authored by Sena Lee and last updated on 2026-04-23.
A study comparing methods for spatial interpolation of seabed sand content across the Australian Exclusive Economic Zone. The research evaluates 18 methods, including RFIDS and RFOK, using samples from Geoscience Australia's Marine Samples Database extracted in August 2010. Model averaging improved prediction accuracy, with the most accurate methods reducing error by up to 7%.
57.3 KB of data quantifying filterable and condensable primary particulate nitrate (P-NO₃⁻) emissions from plumes over North China for January and August 2019. The dataset was created by Yuanzhe Ni and integrates a sector-specific emissions framework, oxygen-isotope constraints, and WRF-CMAQ sensitivity simulations. It includes a China-specific source-profile database and a condensable particulate matter inventory across 9 anthropogenic sectors.
Yuanzhe Ni compiled a dataset quantifying filterable and condensable primary particulate nitrate (P-NO3–) emissions from plumes over North China. The data was generated by integrating a sector-specific emissions framework, oxygen-isotope constraints, and WRF-CMAQ sensitivity simulations for January and August 2019. It includes a China-specific source-profile database and a condensable particulate matter inventory across 9 anthropogenic sectors.
Filterable and Condensable Particulate Nitrate Emissions from Plumes over North China quantifies primary nitrate emissions from industrial plumes. The dataset was created by Yuanzhe Ni and published on figshare in April 2026. It includes a source-profile database and inventory for nine anthropogenic sectors, with data for two months in 2019.
Quantified plume primary nitrate emissions over North China for January and August 2019. The dataset includes a source-profile database for filterable emissions and a condensable particulate matter inventory across 9 anthropogenic sectors. It was created by Yuanzhe Ni and published on figshare in 2026.