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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,080 datasets
A geospatial dataset classifies the seabed sediments of Keppel Bay, Central Queensland, into five distinct classes. The classification is based on sediment grainsize, chemical composition, and modeled seabed shear stress from waves and tidal currents. The data was produced by Geoscience Australia using sediment sampling and acoustic seabed mapping tools.
Directional Waverider buoy data from the UK Environment Agency measures wave attributes every 30 minutes. The dataset includes parameters such as significant wave height, wave period, direction, and sea surface temperature from specific buoys like Blakney and Lowestoft. Data is available as a real-time feed and for historic download via the CEFAS wavenet website.
A mathematical dataset authored by Richard Goodman of IAOM, last updated on July 11, 2026. The title suggests a connection between concepts in theoretical physics and algebraic number theory. The specific content and structure require verification after download.
When a Circuit Is a Proof is a dataset published on Dataverse by author Richard Goodman from IAOM. The dataset was last updated on July 11, 2026. Its title suggests a connection between circuit design and formal proof systems.
A dataset titled 'The Collapse Theorem' authored by Richard Goodman of IAOM and published on Dataverse. The dataset was last updated on July 11, 2026. Its specific content and structure are not detailed in the available metadata.
A 2026 validation dataset for the Adiaha Subsurface Decay Model (ASDM) created by Monday Sunday Adiaha. The dataset comprises 1000 cores, likely used for calibrating and testing Bayesian models in subsurface radiological intelligence. It was published on the Harvard Dataverse platform on June 23, 2026.
NSIDCV0's Antarctic atlas provides 28 digital elevation maps covering the continent north of 72.1 degrees south at a 3-kilometer resolution. Data were acquired by the GEOSAT Geodetic Mission from March 1985 through September 1986, using a geostatistical mapping technique to improve surface elevation accuracy. This dataset facilitates monitoring of elevation changes that could indicate mass balance shifts in the Antarctic Ice Sheet.
A 9.5 KB dataset on figshare, last updated May 18, 2026. The data, shared under a CC-BY-4.0 license by Muthulakshmi Kirubakaran, likely contains information related to applying meta-heuristic optimization techniques to deep learning models for brain tumor analysis.
18.5 KB of R code files used for statistical analyses, authored by Yanouk Epelboin. The code is shared under a CC-BY-4.0 license on figshare. The record was last updated on 2026-05-18.
Results from a Monte Carlo Test of the Phi statistic and genetic variation components. The 5.5 KB Excel file was authored by Mateo Vinueza Guarderas and last updated on May 18, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Shuhong Zheng's supplementary analysis of covariance (ANCOVA) results, published on figshare in April 2026. The 12.2 KB XLSX file contains statistical outputs from a model adjusting post-intervention Fugl-Meyer Assessment (FMA) scores for baseline scores. The analysis found a significant between-group difference for upper-extremity scores (F=9.901, p=0.003) but not for lower-extremity scores (F=3.299, p=0.076).
Junqing Chen's 2026 work provides data and analysis based on the modulo-6 prime orbit 6K±1 with full-traversal measurements up to K=80,000,000. The dataset, hosted on figshare, aims to demonstrate the invalidation of classical prime number frameworks and prove the twin prime conjecture. All data are described as reproducible with zero deviation.
Maha M. Hamood's figshare dataset from 2026 contains numerical results for a Hermite polynomial-based least-squares method applied to Volterra-Fredholm fractional integro-differential equations. The 5.5 KB XLS file presents convergence data for residual and true error norms across a series of numerical experiments. It serves as the supporting data for a study validating the accuracy and efficiency of the proposed computational technique.
A 5.5 KB Excel file contains numerical results from a study on solving Volterra-Fredholm fractional integro-differential equations. The dataset, created by Maha M. Hamood, presents outcomes from experiments validating a Hermite polynomial-based least-squares method, with data last updated in April 2026.
5.5 KB of data contains numerical error results from a study solving Volterra-Fredholm fractional integro-differential equations. Maha M. Hamood authored this dataset, which was last updated in April 2026. It validates a Hermite polynomial-based least-squares method through computational experiments.
Numerical results compare exact and approximate solutions for Volterra-Fredholm fractional integro-differential equations. Maha M. Hamood created this small 5.5 KB dataset, which was last updated in April 2026. It contains tabulated outcomes from a Hermite polynomial-based least-squares method.
Maha M. Hamood's 2026 study provides a numerical comparison of exact and approximate solutions for Volterra-Fredholm fractional integro-differential equations. The 5.5 KB dataset contains results from experiments validating a Hermite polynomial-based least-squares method. It includes tables of numerical outcomes and graphical illustrations.
A 5.5 KB Excel file contains numerical experiment results from a 2026 study by Maha M. Hamood. The data validates a Hermite polynomial-based least-squares method for solving Volterra-Fredholm fractional integro-differential equations. It presents tables of numerical outcomes and comparative graphical illustrations.
Numerical experiment results validate a Hermite polynomial-based least-squares method for solving Volterra–Fredholm fractional integro-differential equations. The dataset contains tabulated outcomes and comparative graphical illustrations from the study. Author Maha M. Hamood published the data on figshare in April 2026.
TXT files containing data analyzed in a paper on Bayesian thresholding for coordinate-based meta-analysis. The dataset is 2.4 KB in size and was authored by Jordi Manuello. It was last updated on May 7, 2026.