Loading...
Loading...
Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,446 datasets
Global land surface data from the Multi-angle Imaging SpectroRadiometer (MISR) instrument, providing a monthly statistical summary of vegetation parameters. The dataset includes average directional hemispherical reflectance (DHR), DHR for photosynthetically active radiation (DHR-PAR), fractional absorbed photosynthetically active radiation (FPAR), leaf area index (LAI), and normalized difference vegetation index (NDVI). Data collection for this version 2 product was completed in August 2007 by the National Aeronautics and Space Administration.
An Excel workbook containing processed data underlying the main statistical analyses in a PLOS Biology paper. The data supports figures 3A-3G, 4A-4E, 5A, 5C, 6B, 6D, and supplementary figures S1A-S1F, S2, S3A-S3B, and S4. The file is 51.4 KB and was authored by Huw Jarvis.
ProofSolver-1300 is a collection of 1,310 mathematical proof problems. Each example pairs a statement to prove with a detailed reasoning trace and a clean final proof. The dataset was created by WilhelmH and last updated on Hugging Face in June 2026.
A 305.1 KB document by Aswin Viswan, last updated April 23, 2026, details a study on producing the anti-inflammatory enzyme serratiopeptidase. The research optimized process parameters like pH, carbon, and nitrogen sources, achieving a maximum enzyme production of 3.449 U/mL at 18 hours. The enzyme was purified, showing a 3.6-fold increase in specific activity and a confirmed molecular size of 50 kDa.
A PDF document presents a systematically optimized filtration and Nile Red staining protocol for detecting microplastics smaller than 5 µm, with emphasis on particles ≤ 2 µm. The study, authored by Uroosa and last updated in April 2026, demonstrates the protocol's effectiveness on polystyrene and polyethylene particles while confirming dye specificity against inorganic controls. This cost-effective method is designed for labs with lower resources and for initial screening of natural samples.
Data Sheet 2_Systematic optimization of Nile Red staining parameters for the reliable detection of microplastics ≤ 2 µm.pdf is a 112.7 KB PDF document authored by Uroosa and last updated on 2026-04-23. It describes an optimized filtration and Nile Red staining protocol for detecting microplastics smaller than 5 µm, with a focus on particles ≤ 2 µm. The protocol is designed as a cost-effective alternative to techniques like FTIR and Raman spectroscopy for labs with lower resources.
A 1.2 MB PDF authored by Uroosa and last updated in April 2026 details an optimized filtration and Nile Red staining protocol for detecting microplastics smaller than 5 µm, with emphasis on particles ≤ 2 µm. The protocol was systematically tested on polystyrene and polyethylene particles, demonstrating strong signals and dye specificity against inorganic controls. This cost-effective method is designed for labs with lower resources and for initial screening of natural samples.
Three tables specify the model syntax and priors used for statistical models fitted for Experiment 1 and 2. The dataset is authored by Kristina Kobrock and was last updated on 2026-05-26. It is a small 8.3 KB resource containing TEX files.
A collection of performance metrics and their corresponding mathematical definitions, compiled by K. Sasikumar. The dataset is stored in a 5.5 KB XLS file and was last updated on May 26, 2026. Its specific scope and the number of included metrics are not detailed in the available metadata.
K. Sasikumar published this dataset on figshare in 2026. It contains threshold values and action counts before and after optimization for an ensemble method applied to a 2M dataset. The dataset is small, at 5.5 KB, and is provided in an XLS file format.
A dataset containing model evaluation metrics including accuracy, precision, recall, and F1-score, along with optimization results. The data is stored in an XLS file sized at 9.5 KB and was authored by K. Sasikumar. It was last updated on May 26, 2026.
Ocident Bongomin of Moi University created this dataset from a simulation-based optimization study of a complex trouser assembly line. The empirical study was conducted at the Southern Range Nyanza Limited (NYTIL) garment facility, modeling a line with 72 operations. Results show throughput increased from 490 to 762 pieces per day and line efficiency improved from 61.2% to 95.2%.
4,775 observations track the presence of national statistical agencies across 22 European countries over 265 years. The dataset is a repackaged version of Our World in Data's 'Country Has A Statistical Agency' indicator, curated by Electric Sheep Europe. It provides a long-term view of the institutionalization of official statistics on the continent.
Felis Catus Optimization (FCO) is a novel metaheuristic algorithm modeled on the behavior of urban domestic cats. The dataset contains post-hoc Wilcoxon test results comparing FCO's performance against seven other algorithms on CEC 2005 and CEC 2017 benchmark functions. Authored by Mohammad Salehi and last updated in April 2026, the 5.5 KB Excel file validates FCO's competitive ranking and robust convergence pattern.
FCO codes v3 is a dataset related to the Felis Catus Optimization (FCO) algorithm, a nature-inspired metaheuristic modeled on the behavior of domestic cats. The dataset, created by Mohammad Salehi and last updated in April 2026, contains results from extensive experiments on CEC 2005 and CEC 2017 benchmarks and applications to three real-world engineering design problems.
Felis Catus Optimization (FCO) is a novel metaheuristic algorithm modeled on the behavior of urban domestic cats. The dataset contains post-hoc Wilcoxon test results comparing FCO's performance against seven other algorithms on CEC 2005 and CEC 2017 benchmark functions. Authored by Mohammad Salehi and last updated in April 2026, the 5.5 KB Excel file validates FCO's competitive ranking and robust convergence pattern.
Excel tables contain paired statistical significance analysis comparing a MaxGRNet model against four baseline models using 5-fold cross-validation. Md Mehedi Hasan Santo published the results on figshare in April 2026. The 5.5 KB file includes mean fold-wise differences, confidence intervals, and corrected p-values.
Supplementary Material 3 from the research article 'The activation of the metabolic oxaloacetate-pyruvate axis restores influenza A virus replication during impaired glycolysis'. The dataset contains n-fold changes over control and statistical significances for Figure 4 of the study. It is a 32.6 KB XLSX file authored by Chiara Robin Bojarzyn and shared under a CC-BY-4.0 license on figshare.
Geoscience Australia's Marine Samples Database provided seabed sand content samples extracted in August 2010. The dataset likely contains geospatial point data used to compare 18 spatial interpolation methods, including RFIDS and RFOK, across three regions of the Australian Exclusive Economic Zone (AEEZ). Model averaging improved prediction accuracy by up to 7%, with RFOKRFIDS recommended for single-method use.
A 1.9 MB PDF document authored by Wakana Kawai and last updated on 2026-04-22. The study presents a method for optimizing the threshold in principal component analysis to separate cortical and extracerebral hemodynamic signals, using data from older participants performing a verbal n-back task.