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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,069 datasets
Indigenous Areas are medium-sized geographic units built from whole Indigenous Locations, designed for the release and analysis of detailed statistics for Aboriginal and Torres Strait Islander people. The data is published by Spatial Services (DCS) and adheres to the Australian Statistical Geography Standard (ASGS) Edition 3. Changes to these areas are determined through consultation with the Centre for Aboriginal and Torres Strait Islander Statistics.
ORNL_CLOUD provides four 1-meter resolution digital elevation models (DEMs) and performance metrics for the Global Change Research Wetland in Maryland, USA, from 2016. The dataset compares three LiDAR bias-correction strategies and one kriging-based model, calibrated against a ground survey of 525 points. It supports research on elevation modeling in vegetated tidal marshes.
Van-Quyet Tran published a dataset on figshare in May 2026. The dataset likely contains parameters and performance metrics from a study optimizing variable lead curves for twin-screw air compressor rotors. It includes files in TXT and XLSX formats totaling 127.9 KB.
A Bayesian model refines the chronology of Moingona phase Oneota sites in the central Des Moines River valley. The posterior median age is 1325 CE, with most probability between 1300 and 1340 CE, indicating a brief occupation. The dataset, authored by Matthew G. Hill and last updated in May 2026, includes DOCX and XLSX files totaling 366.4 KB.
Yaru Yang published a dataset comparing the performance of a novel double-rotor wind turbine (DRWT) against a conventional single-rotor design. The data likely contains results from Computational Fluid Dynamics (CFD) and one-way Fluid-Structure Interaction (FSI) simulations, including metrics like wake-velocity recovery and blade stress. The dataset was last updated on 2026-05-11.
Simulation data compares dynamic stress and aerodynamic performance between a novel double-rotor wind turbine and a conventional single-rotor design. The dataset was created by Yaru Yang and last updated on 2026-05-11. It contains results from Computational Fluid Dynamics and one-way Fluid-Structure Interaction simulations under varying wind conditions.
Geometric Parameters of UR and DR is a dataset by Yaru Yang, last updated on May 11, 2026. It contains simulation results comparing a novel double-rotor wind turbine (DRWT) with a single-rotor wind turbine (SRWT). The dataset is stored in an XLS file sized at 5.5 KB.
5.5 KB of statistical comparison data between automated sensor and ISO-calibrated laboratory reference measurements. The dataset, authored by Nadun Salinda, includes mean deviation, 95% confidence intervals, p-values from one-way ANOVA, and significance interpretations for pH, TDS, temperature, and density. It was last updated on May 18, 2026.
675.8 KB of simulation results and supporting code for a proposed sufficient dimension association (SDA) method for high-dimensional data analysis. The dataset, authored by Shangyuan Ye and last updated in April 2026, includes a demonstration using gene expression data from the Alzheimer Disease Neuroimaging Initiative. Supplementary materials for reproducing the work are available.
Southwestern China is the location of a five-year field experiment monitoring rubber yield and soil properties. The dataset includes annual rubber yield records from 2014 to 2018 and soil property measurements from a seasonal cycle in 2017-2018. It was created by author Ran Wei and shared under a CC-BY-4.0 license.
A single-factor between-subjects experiment with 90 participants assigned to warm, cool, or neutral interface color schemes. The dataset, created by HAOYUAN KONG and last updated on 2026-05-14, contains concurrent measurements of emotional perception, user satisfaction, page dwell time, and CTA click behavior from a simulated product-browsing task.
A hybrid Bayesian network model for assessing canine periodontal disease risk, integrating data from 9.5 million electronic health records, 2,600 owner questionnaires, previous studies, and expert elicitation. The model comprises 19 nodes with 101 states and over 33,200 conditional probabilities, validated across four independent datasets. It was authored by Ciaran O’Flynn and last updated in April 2026.
A dataset and analysis materials for a research project investigating the relationship between Spotify audio features and song popularity. The deposit includes analysis code, documentation, and supporting materials intended to support transparency and reproducibility. The work was authored by Krisha Dua and deposited on Harvard Dataverse in July 2026.
Derived species records used for Species Distribution Models in a study on the potential decline of the mopane worm (Gonimbrasia belina) in southern Africa. The dataset was created by Psijure for the Shen et al. research and is available under an Open Access license. Its specific size, format, and update history are not detailed in the provided metadata.
A database of sex ratios at birth for the seven provinces of Nepal. The data was created by Fengqing Chao and colleagues for a Bayesian modeling study published in BMC Public Health in 2022. It contains estimates and probabilistic projections from 1980 to 2050.
Experimental and simulated scattered light intensity distributions from a 30 mm cuvette illuminated with a 473 nm laser beam. The data includes measurements for an aqueous dispersion of 2.07 µm polystyrene spheres across optical depths from 0 to 15, with simulations performed using Multi-scattering. The dataset was authored by David Frantz and is available via the paperswithcode platform.
Flávio G. Oliveira collected data and R code for statistical analysis in the paper 'Behavioral responses of rural and urban greater white-toothed shrews (Crocidura russula) to sound disturbance'. The dataset is intended to reproduce the analysis from the associated research. It is available via the paperswithcode platform under an Open Access (green) license.
Experiment materials from a 2023 paper on combining proofs for description logic and concrete domain reasoning. The dataset includes files needed to rerun the experiment described by Christian Alrabbaa of Technische Universität Dresden. The materials are provided under an Open Access (green) license.
Dataset and model files for the paper "Concrete Type Inference for Code Optimization using Machine Learning with SMT Solving". The data was created by Fangke Ye at the Georgia Institute of Technology. The specific size, row count, and file formats are not detailed in the available metadata.
2,877 positive proteins and 729 specific positive proteins were identified from a HuProt human proteome microarray chip experiment comparing biotin-labeled anisodine hydrobromide to a D-biotin control. The dataset includes raw chip data, analysis results, scanned images, and project documentation. Anqing Li published the dataset on figshare under a CC-BY-4.0 license, with a last update in 2026.