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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,485 datasets
Irrigation-equipped land fraction is mapped for the Middle East at a 5-minute by 5-minute grid cell resolution (approximately 9.25 km x 9.25 km at the equator). The dataset was created by the CEOS_EXTRA organization, combining statistical administrative data with geographical information on irrigated areas. It represents a snapshot of irrigation infrastructure from around 1995.
1995 data depicts the fraction of land equipped for irrigation across Europe at a 5-minute by 5-minute cell resolution. It was created by the CEOS_EXTRA organization, combining statistical administrative data with geographical information on irrigated areas.
Asia's irrigation infrastructure is mapped at a 5-minute by 5-minute grid cell resolution, representing approximately 9.25 km x 9.25 km at the equator. The dataset shows the fraction of each cell equipped for irrigation around the year 1995. It was created by the CEOS_EXTRA organization by combining statistical administrative data with geographical point, polygon, and raster information.
1995 data depicts the fraction of each 5-minute by 5-minute grid cell equipped for irrigation across Africa. The map was created by the CEOS_EXTRA organization, combining statistical data on irrigated areas within administrative units with geographical information on their locations.
1995 data provides a global map of the fraction of land equipped for irrigation within 5-minute by 5-minute grid cells (approximately 9.25 km x 9.25 km at the equator). The dataset was created by the Committee on Earth Observation Satellites (CEOS) by combining statistical administrative data with geographical information on irrigated areas.
A research project studying reactive front stability in porous media with stochastic permeability and reactivity. The work formulates stochastic partial differential equations to determine growth rates and disturbance wavelengths. The project involves the British Geological Survey and has applications in oil reservoir diagenesis and well bore acid treatments.
2002 data from Nepali rivers includes geochemical measurements, cations, anions, and stable and radiogenic strontium isotope compositions. The dataset also contains supplementary mathematical equations, tables, and analytical solutions for reactive transport models. It was collected for a study by Stevenson et al. and published in the American Journal of Science.
Raw data and statistical analysis scripts support the research paper "Is the alpha-amylase paralog Amyrel dispensable in Drosophila melanogaster?". The dataset, authored by Jean-Luc Da Lage, is available under a CC-BY-4.0 license. Its specific contents, including column names and row counts, are not detailed in the provided metadata.
5,227 mathematical Olympiad problems and rubrics for reinforcement learning training, released by lm-provers in 2026. The collection includes problems from international competitions and Art of Problem Solving (AoPS) annotated with Gemini-3-Pro rubrics and Qwen-based rewards.
Mathematically modelled daily water saturation profiles for 6 sites on the Namoi River floodplain in south-east Australia. The data comprises vertical profiles from the soil surface down to 10 meters depth, divided into 944 intervals per profile. It was created for a PhD project and underpins figures in Evans et al. (2018).
A dataset for machine learning-based optimization of routing in Mobile Ad-hoc Networks (MANETs). The dataset appears to contain multiple performance metrics relevant to network routing. The author, organization, and temporal coverage are unknown.
A numerical study by Kashif Ali Abro from Mehran University of Engineering and Technology investigates the chaotic behavior of a memristor using fractal-fractional differential operators. The mathematical model is established with Atangana-Baleanu, Caputo-Fabrizio, and Caputo fractal-fractional differential operators. Simulated results via MATLAB suggest the new operators generate significant results compared to classical approaches.
A repository containing nexus files and MrBayes command files for experiments to determine the optimal word list size for inferring linguistic phylogenies. The data was created by Taraka Rama of the University of Oslo for a paper presented at the 27th International Conference on Computational Linguistics (COLING 2018).
A repository by Taraka Rama of the University of Oslo contains nexus files and MrBayes command files for experiments on linguistic phylogeny. The work was presented at The 27th International Conference on Computational Linguistics (COLING 2018) in Santa Fe, New-Mexico, USA. The dataset is intended to determine the optimal word list size required for inferring the best phylogenies.
rstanarm is an R package for Bayesian applied regression modeling, authored by Jonah Gabry. It estimates compiled regression models using the 'rstan' package, which provides an R interface to the Stan C++ library. Users specify models via customary R syntax with a formula and data.frame, plus additional arguments for priors.
This study proposes a Debris Removal Routing Optimization (DeRRO) framework integrating Particle Swarm Optimization with GIS analytics. The method is validated using benchmark datasets from the Traveling Salesman Problem Library, demonstrating error rates from 1.38% to 4.63% relative to exact solutions.
A dataset related to DevOps performance optimization using the Elastic Stack of tools. It was published on the Kaggle platform. The specific content, scale, and origin are not detailed in the available metadata.
Annual service measures and financial data are collected from all legally-established public libraries in Oregon by the State Library of Oregon. The dataset includes reports starting from the fiscal year 2009-2010 and is updated annually, with data reported for each state fiscal year from July 1 to June 30. Reporting periods are identified by the year the report was submitted.
A dataset of graded summaries from the Proofbench evaluation for the Qwen3 4B model, published by author violetxi on Hugging Face. The dataset appears to contain text outputs from a fine-tuned language model assessed for reasoning or safety. The platform tags indicate the data is in JSON format and primarily textual.
Misty is a collection of miscellaneous functions for data analysis created by Takuya Yanagida. The functions cover data handling, descriptive statistics, missing data analysis, multilevel modeling, item analysis, and statistical testing. It also includes utilities to interact with the 'Blimp' and 'Mplus' statistical software.