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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,459 datasets
The Micro-Imaging Dust Analysis System (MIDAS) on the ROSETTA Orbiter captured 3D images and statistical parameters of pristine cometary particles collected near comet 67P/Churyumov-Gerasimenko. This data set includes all data from the ROSETTA EXTENSION 2 mission phase, with the current release superseding version 1.0 based on Comet Science Reviews held in February 2016 and October 2017.
The Micro-Imaging Dust Analysis System (MIDAS) dataset from the ROSETTA Orbiter provides 3D images and statistical parameters of pristine cometary particles collected near comet 67P/Churyumov-Gerasimenko. This release includes all data from the ROSETTA EXTENSION 3 mission phase and supersedes version 1.0. The data is provided by the National Aeronautics and Space Administration and was last updated in March 2026.
1,000 supervised-fine-tuning examples of math reasoning traces. Problems were sampled from a Nemotron math problem set, answered by DeepSeek V4 Pro with high reasoning effort, and reviewed for correctness by DeepSeek V4 Flash. The dataset was authored by blythet and last updated on April 30, 2026.
Posterior probability estimates from a Bayesian analysis of remdesivir (RDV) treatment effects on COVID-19-related hospitalizations or all-cause death. The dataset, authored by Mazin Abdelghany, is a 9.5 KB Excel file last updated in April 2026.
Hyperparameter values for an HP-GNN model were determined via systematic optimization including grid search and Bayesian ablation studies. The dataset, created by Masoud Amiri, details a specific scaling where the physics learning rate is set to 0.1 times the main rate for stable Kuramoto dynamics convergence. It was last updated in April 2026.
The Micro-Imaging Dust Analysis System (MIDAS) on the ROSETTA Orbiter captured 3D images and statistical parameters of pristine cometary particles near comet 67P/Churyumov-Gerasimenko. This dataset from the National Aeronautics and Space Administration includes all data from the EARTH SWING-BY 2 mission phase and supersedes version 2.0.
The ROSETTA Orbiter's Micro-Imaging Dust Analysis System (MIDAS) instrument collected 3D images and statistical parameters of pristine cometary particles in the vicinity of comet 67P/Churyumov-Gerasimenko. This dataset includes all data from the ROSETTA EXTENSION 2 mission phase. The data was produced by the National Aeronautics and Space Administration.
A qualitative research project aims to evaluate the reflection of mathematical concepts in the content of gambling websites. The study involves reviewing a minimum of 600 gambling websites annually to record and analyze the presence and quality of mathematical information. The dataset is authored by Catalin Barboianu and was last updated on April 22, 2026.
The PRELANDING mission phase data from the ROSETTA Orbiter's Micro-Imaging Dust Analysis System (MIDAS). This dataset provides 3D images and statistical parameters of pristine cometary particles collected near comet 67P/Churyumov-Gerasimenko. It is version 3.0, superseding version 2.0, and was published by the National Aeronautics and Space Administration.
Growth and survival parameters for the polychaete worm Hediste diversicolor are recorded under commercial and sturgeon waste feeding regimes across various stocking densities. The dataset is a small 9.5 KB XLS file uploaded by author Zabihollah Pajand to figshare in April 2026. It includes statistical significance indicators for differences among the eight experimental groups (C1-C4, W1-W4).
The Micro-Imaging Dust Analysis System (MIDAS) instrument on the ROSETTA Orbiter captured 3D images and statistical parameters of pristine cometary particles near comet 67P/Churyumov-Gerasimenko. This dataset includes all data from the PRELANDING mission phase. The data is provided by NASA and the current release supersedes version 1.0 based on reviews held in February 2016 and October 2017.
The Micro-Imaging Dust Analysis System (MIDAS) instrument on the ROSETTA Orbiter collected 3D images and statistical parameters of pristine cometary particles near comet 67P/Churyumov-Gerasimenko. This dataset includes all data from the ROSETTA EXTENSION 2 mission phase and supersedes version 2.0. The data was produced by the National Aeronautics and Space Administration and was last updated on the platform in March 2026.
Laboratory experiment results assessing the virulence of a Metarhizium anisopliae fungal strain on Bactrocera dorsalis (oriental fruit flies). The dataset and associated R code were created by author Anaïs Chailleux of CIRAD for a published article on improving on-target control strategies.
AIRS/Aqua Level 3 pentad quantization products provide statistical summaries of atmospheric states derived from Level-2 retrievals. The data combines parameters like air temperature, water vapor profiles, and cloud fraction over 5-degree grid cells for five-day periods. It is produced by NASA's GES DISC.
A study assessed sediment distribution in Keppel Bay, a macrotidal environment connecting the Fitzroy River catchment to the Great Barrier Reef shelf. The research used sediment sampling and acoustic seabed mapping to classify the seabed into five distinct classes based on grainsize, chemical composition, and modelled seabed shear stress. The dataset is provided by Geoscience Australia Data and was last updated on 2026-03-25.
A 14.5 KB dataset by Ana C. Herrera-Rios, last updated March 2026, presents results from modeling growth dynamics in commercial pigs. The study uses Generalized Additive Models (GAMs) and a composite desirability function to determine optimal slaughter weeks for four genetic lines and sexes, balancing biological and economic criteria.
Pre-tokenized binary evaluation splits used in the HiCI paper for hierarchical construction-integration in long-context LLMs. The dataset, authored by ZengXiangyu and last updated on 2026-04-21, contains PG19 test and validation sets tokenized with both Llama-2 and Llama-3 tokenizers.
18 metaheuristic algorithms are statistically compared on the Pressure Vessel Design Problem. The dataset was authored by Mohammad Salehi and last updated on 2026-04-15. It is a 9.5 KB Excel file available under a CC-BY-4.0 license.
Design variables for the welded beam optimization problem, a standard benchmark in engineering design. The dataset is a 5.5 KB Excel file authored by Mohammad Salehi and shared under a CC-BY-4.0 license. It was last updated on April 15, 2026.
Default algorithmic parameters and control policies for the Felis Catus Optimization (FCO v2) algorithm, implemented for MATLAB R2019a. The dataset was authored by Mohammad Salehi and last updated on April 15, 2026. It is a small dataset, 5.5 KB in size, stored in an Excel (XLS) format.