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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,469 datasets
Supplementary Materials provide derivations, layouts, and calibration data for Piezoelectric Micromachined Ultrasound Transducer pairs. The 513.9 KB PDF file, authored by Samer Houri, covers properties and loop-gain calibration for devices operating at an exceptional point.
Delivering source files for developing a CHARMM36-compatible lignin forcefield for biomolecular simulations. It includes parameter files, optimization scripts, and parsed target data, contributed by the Department of Energy. The specific row and column counts are not provided.
1615 rows of per capita alcohol sales data for Russian federal subjects from 1998 to 2016. The dataset contains yearly figures for wine, beer, vodka, brandy, and champagne, sourced from the Unified Interdepartmental Information and Statistical System (UIISS). It enables analysis of regional drinking trends over a 19-year period.
Experimental data from a study investigating the foam-mat drying process of acerola pulp. The work, authored by Cíntia Da Silva Araújo, involved experiments with three repetitions at five drying air temperatures (50°C, 55°C, 60°C, 65°C, 70°C). Moisture ratios were calculated and three mathematical models (Page, Henderson and Pabis, Lewis) were fitted to describe the drying kinetics.
Gary King and colleagues propose a statistical simulation technique to extract overlooked information from quantitative results. Their approach, published by Harvard University Press, is demonstrated by replicating results from several published social science works. The replications show how to express substantive conclusions more sharply and reveal new information about the research questions.
Widefield glutamate imaging data from awake mice V1 during 2-72 Hz flicker stimulation, recorded at a 150 Hz sampling rate. Created by Rasa Gulbinaite and published via Borealis Dataverse in 2026, the dataset captures cortical responses to 10-second flicker trials across a 128x128 pixel field of view.
Daily wildland fire updates for the United States are provided by SCIOPS via NASA EarthData. Statistical measurements include the number of new and active large fires, acres from active fires, and fires contained. The data set also includes year-to-date fire statistics and state-by-state detailed descriptions of fire status.
A 5.5 KB dataset containing parameter tuning data for the CPD-D³ model in Olympic performance analysis. The dataset, authored by You Liu and updated in March 2026, is licensed under CC BY 4.0 and includes tags referencing the Brazilian Swimming Team, Chinese Diving Team, and specific analytical methods like the Decay Model and Dynamic Difference Method.
5.5 KB dataset details a dual test mechanism for detecting change points. The method involves a Time Attenuation Rule and an Improved Cusum Algorithm, as indicated by the tags. Authored by You Liu and shared under CC BY 4.0, it was last updated in March 2026.
Ethiopia trade data provides parametric survival estimates for trade partnerships. The dataset, authored by Abiyot G. Gebre, was last updated in March 2026. Its small 9.5 KB size indicates a limited scope.
13.5 KB file contains parametric survival estimates for trade relationships. The dataset, created by Abiyot G. Gebre, focuses on trade partnership duration and dissolution in Ethiopia.
Field experiment data compares grain yield, yield components, and protein concentration for two wheat cultivars under four seeding rates. The study was conducted over two years in Qena, Upper Egypt, using a randomized complete block design with three replications. Author Iqbal Zahid published the findings to determine optimal seeding rates for wheat productivity in sandy loam soils.
This repository contains data and code for estimating the effect sizes of solar radiation and temperature on dissolved gaseous mercury in seawater. It includes raw measurement data, pre-processed data, and 10 sequential analysis modules for Bayesian modeling and visualization. The code is provided in both R and Python.
selectMeta is a package implementing parametric and nonparametric weight functions to model publication bias in meta-analyses. The methods include a non-increasing variant of the nonparametric weight function from Dear & Begg (1992) and a differential evolution algorithm for optimization. It was authored by Kaspar Rufibach and includes functions for computing confidence intervals and simulation-based p-values for effect sizes.
Research data supporting a paper on subsea production control system layout optimization. The dataset was authored by Lvyin Niu and is hosted on Harvard Dataverse, with a last recorded update in April 2026. Its specific contents are described in the context of construction cost and failure risk analysis.
A dataset compiled by Douglas A. Irwin of the National Bureau of Economic Research for a study on late-nineteenth-century U.S. tariffs and infant industry protection, focusing on the tinplate industry. The data underpins an analysis of historical economic debates, referencing works by Paul David, Jeffrey Williamson, Ann Harrison, and Krueger and Tuncer. The dataset's specific volume and structure are not detailed in the provided metadata.
A cost-per-gram optimization matrix compares whole foods against commercial protein supplements. The dataset likely contains metrics for evaluating protein sources based on economic and metabolic factors. It was sourced from Kaggle, but the author, organization, and last update date are unknown.
An R package provides a toolbox for applying modern coexistence theory to empirical data. It includes functions for modelling species interactions, calculating fitness and niche differences, and simulating dynamics for stage-structured populations. The package was developed by David García‐Callejas and colleagues, with methods described in a 2020 publication.
Jan Mocák from La Trobe University presents a dataset comparing traditional and new statistical methods for determining the limit of detection (LOD) and limit of quantification (LOQ). The data likely contains results from applying the new Upper Limit Approach (ULA) and other methods to voltammetric and stripping techniques. The work discusses calibration model choice and design, with an improved derivation for the LOQ signal.
bain computes approximated adjusted fractional Bayes factors for testing equality, inequality, and about equality constrained hypotheses. The method is detailed in multiple peer-reviewed publications, including a 2019 tutorial in Psychological Methods. It has been applied in fields like structural equation modeling, as shown in a 2021 paper in Structural Equation Modeling: A Multidisciplinary Journal.