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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,446 datasets
Geoscience Australia Data conducted a simulation experiment to identify robust spatial interpolation methods for predicting seabed mud content. The study compared statistical and mathematical techniques, evaluating factors like sample density, region, and secondary variables including bathymetry. Outcomes can be applied to modeling a wide range of physical properties for improved marine biodiversity prediction.
A figshare dataset by Diego Lievano Parra, last updated in May 2026. It contains Bayesian model parameters for footfall errors and velocity in Wistar rats with partial dopaminergic lesions, assessed weekly over six weeks. The data supports research into early motor symptoms of Parkinson's disease.
A dataset from a 2026 figshare upload detailing the optimization of Rho-associated coiled-coil containing protein kinase 2 (ROCK2) inhibitors for pulmonary fibrosis therapy. The data likely contains physicochemical and biological evaluation results for compounds developed via molecular planarity disruption strategies. It was authored by Zhi Cao.
487.9 KB of data from a medicinal chemistry optimization campaign for ROCK2 inhibitors. The dataset, authored by Zhi Cao and last updated on 2026-05-25, contains molecular structures and associated biological activity data. It includes results for a lead compound exhibiting potent ROCK2 inhibition and antifibrotic effects in vivo.
487.5 KB of chemical structure data from a rational optimization campaign for Rho-associated coiled-coil containing protein kinase 2 inhibitors. The dataset, authored by Zhi Cao and last updated in May 2026, likely contains molecular structures developed to disrupt planarity and improve physicochemical properties for treating pulmonary fibrosis.
Supplementary materials for a peer-reviewed article in the Journal of Comparative Effectiveness Research. The 1.1 MB collection includes 15 documents, such as systematic literature review criteria, program code for propensity score matching, and results from Bayesian network meta-analyses. Jessica E. Forsyth authored these materials, which were last updated on May 1, 2026.
Esther Torrente published data on IRBM-Z-2, an optimized Zika virus NS2B-NS3 protease inhibitor, on figshare in 2026. The dataset likely contains results from biochemical, cellular, and mouse model studies. It is a small dataset of 5.1 KB, shared under a CC-BY-NC-4.0 license.
Sree Nithish Reddy Gunapati's dataset contains results from a computational framework integrating machine learning and optimization for designing multifunctional bioactive peptides. The data likely includes sequences and properties of peptides predicted to have antioxidant, antifungal, and antibacterial properties for potential application in active food packaging systems. The dataset was last updated on May 12, 2026.
Statistical analysis results for primary model-related parameters. The dataset includes Feature Importance entries from a 100-tree Random Forest ensemble with over 15,000 samples per network topology and deterministic analytical results from four other methods. It was authored by Chung-Yuan Huang and last updated on 2026-05-21.
A 15.7 MB research dataset by Xiaotian Zheng, last updated in April 2026, accompanies a paper on constructing temporal point processes with memory. The dataset likely contains synthetic and real data examples used to illustrate a Bayesian inference methodology for modeling event durations with high-order Markov dependence. The work proposes a mixture modeling framework for conditional duration densities to create self-exciting or self-regulating point processes.
A study in Heilongjiang Province, China, used hyperspectral data and a stacked ensemble learning model to monitor canopy nitrogen content in the maize cultivar Jinboshi. The optimized model achieved a prediction R² of 0.826 and RMSE of 0.450. The dataset, shared by Haoquan Kong under a CC-BY-4.0 license, was last updated on 2026-05-21.
A 2026 study by Peng Ren provides spectral data for 954 floral color loci from the Floral Reflectance Database (FReD). The dataset includes wavelength data, photoreceptor sensitivity data for Apis mellifera, and results from color diversity calculations using graph theory methods. It is accompanied by the original R Markdown code for reproducing the analysis.
2.4 KB of data describes the identification of the piperidyl urea derivative BAY-439 as a potent and selective inhibitor of human Phospholipase A2 Group V (hPLA2-G5). The dataset, authored by Gernot Langer and last updated on 2026-05-19, contains information on this chemical probe accepted by the Structural Genomics Consortium and its inactive negative control, BAY-163.
A quantitative framework for optimizing maritime renewable energy integration, developed by Khaled Mili and last updated in 2026. The supporting document describes a study analyzing 47 maritime installations from 2019 to 2024, employing high-frequency temporal sampling and fine-resolution spatial analysis. It synthesizes technical performance metrics with stakeholder assessment data from 156 participants.
Six participants were involved in a 51-week mixed-methods single case experimental design to investigate a person-centred active rehabilitation programme for suspected Chronic Traumatic Encephalopathy (CTE). The dataset includes qualitative interview data and quantitative outcome measures for cognitive function, executive function, mindful attention, mood, and behavior. Author Rachael Hearn published the data on figshare under a CC-BY-NC-SA-4.0 license, with a last update timestamp of 2026-05-28.
A research dataset from figshare describes the design and synthesis of 4-methylquinazoline derivatives as selective PI3Kδ inhibitors for treating acute lung injury. Deyu Wu authored the dataset, which was last updated on 2026-05-24. The dataset includes PDB files totaling 1.4 MB.
A 3D molecular structure file for a novel 4-methylquinazoline derivative identified as a potent and selective PI3Kδ inhibitor. The compound, designated 48, exhibited single-digit nanomolar potency and was evaluated in murine models of LPS-induced acute lung injury. The data was authored by Deyu Wu and last updated on 2026-05-24.
A 4.2 KB dataset published by Deyu Wu on figshare in May 2026. It contains data on a novel series of 4-methylquinazoline derivatives designed as potent and selective PI3Kδ inhibitors for treating acute lung injury. The dataset likely includes chemical structures, potency measurements, and selectivity data for the synthesized compounds.
A novel series of 4-methylquinazoline derivatives were designed and synthesized as potent PI3Kδ inhibitors. Lead compound 48 exhibited single-digit nanomolar potency and exceptional selectivity over other PI3K isoforms. Deyu Wu published this preclinical candidate data on figshare in May 2026.
A dataset from 2026 describes a novel series of 4-methylquinazoline derivatives designed as potent and selective PI3Kδ inhibitors. The data, authored by Deyu Wu, includes structural information for a lead compound exhibiting single-digit nanomolar potency and selectivity over other PI3K isoforms. It also contains results from murine models of LPS-induced acute lung injury and septic lung injury.