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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,446 datasets
24 prioritized derivatives of the CHI3L1-binding molecule G721-0282 were generated through virtual screening and structure-guided optimization. The dataset includes biophysical analysis identifying lead compound G721-0377, which has a binding affinity (Kd) of 45 ฮผM. The data was authored by Baljit Kaur and last updated on 2026-04-28.
Trend data from the NSW Bureau of Crime Statistics and Research, last updated in May 2026. This table provides information on short (2-year), medium (5-year), and long (10-year) term trends in incidents of use/possess amphetamines and cocaine offences recorded by the NSW Police Force. The data is organized by region (Statistical Area).
Sediment sources to the Fitzroy River coastal zone have been identified and quantified using an integrated geochemical and modeling approach. The study, likely hosted by the Australian Ocean Data Network, found that the proportion of basaltic material deposited in the coastal zone has increased in recent time and is now the dominant catchment source. The data likely reflects changes in catchment sediment sources over time, influenced by rainfall events and land-use changes following European settlement.
A 50,000-step cyber-physical simulation dataset for overhead transmission lines, created by Song and published in 2026. It includes baseline physical parameters, dynamic load fluctuations, environmental disturbances, and results from algorithm comparisons. The data supports research on monitoring algorithms and digital twin applications under stochastic conditions.
Simulation results from a study investigating a prescribed-time trajectory tracking control strategy for unmanned surface vehicles (USVs) under stochastic environmental loads. The dataset, 401.1 KB in size, was authored by Ruye Cong and shared under a CC-BY-4.0 license on figshare in May 2026. It was used to analyze and demonstrate that the proposed control scheme can achieve trajectory tracking within a prescribed time.
Five distinct seabed sediment classes were identified in Keppel Bay, Central Queensland, using statistical techniques. The classification is based on sediment grainsize, chemical composition, and modelled seabed shear stress from waves and tidal currents. Data was collected by the Australian Ocean Data Network through sediment sampling and acoustic seabed mapping.
A 5.5 KB dataset by Lukas Waltenberger, last updated on 2026-05-05, contains performance measures for binary logistic regression and Bayesian models. The analysis employed post-hoc filtering, excluding subjects with a sex prediction probability below 75% to refine model evaluation. The dataset is shared under a CC-BY-4.0 license on figshare.
A methodological guide for converting common statistical summary measures like P-values, LSD, and CI into variance estimates suitable for meta-analysis. The resource, authored by David LeBauer and hosted on Papers with Code, focuses on agricultural and biological research contexts. It provides rules for prioritizing direct variance estimates and transforming range statistics.
Zahid Ullah from Changwon National University presents a method for processing brain MRI images. The methodology uses histogram equalization for contrast enhancement and mathematical morphology for skull stripping, implemented in MATLAB R2015a. Results were evaluated using Mean Square Error and Peak Signal to Noise Ratio metrics.
Karanvir Singh designed and synthesized a series of triazole-linked sesamol conjugates as potential antifungal agents. The dataset includes in vitro and in vivo efficacy data, such as MIC and MFC values, for these compounds against pathogenic Candida strains. It was last updated on April 28, 2026, and is shared via figshare under a CC-BY-NC-4.0 license.
Karanvir Singh designed and synthesized a series of triazole-linked sesamol conjugates as potential antifungal agents. The dataset includes in vitro and in vivo efficacy data, such as MIC and MFC values, for these compounds against pathogenic Candida strains. It was last updated on April 28, 2026, and is shared via figshare under a CC-BY-NC-4.0 license.
A series of triazole-linked sesamol-based conjugates designed as antifungal agents against Candida albicans. The dataset includes synthesized compounds evaluated for anti-Candida efficacy, with compound CH3 showing the highest activity. It was authored by Karanvir Singh and last updated on 2026-04-28.
A Bayesian dose-response network meta-analysis of 42 randomized controlled trials investigating the relationship between exercise dose and balance improvement in stroke survivors. The dataset, published by Chunbai Xue Yang in April 2026, quantifies effects using the Berg Balance Scale and models dose-response curves for various exercise modalities. Results indicate a non-linear relationship with a minimum effective dose and modality-specific peak benefits.
A supplementary document from a Bayesian network meta-analysis investigating the dose-response relationship between exercise and balance improvement in stroke survivors. The analysis includes 42 randomized controlled trials, with results standardized using MET-min/week and Hedges' g effect sizes. The document was authored by Chunbai Xue Yang and uploaded to figshare in April 2026.
A 9.5 KB Excel file summarizing research findings on the role of machine learning in epitope prediction and vaccine optimization for APEC vaccines. The dataset was authored by Maaz Waseem and is licensed under CC-BY-4.0. It was last updated on May 27, 2026.
Statistical output from a meta-analysis includes pooled effect sizes, forest plots, and heterogeneity measures for morbidity prevention. The dataset, authored by Maaz Waseem, is a 103.2 KB HTML file last updated on 2026-05-27. It is licensed under CC-BY-4.0 and hosted on figshare.
A 5.5 KB Excel file summarizing statistical methods used in analyses, authored by Lalit Narayan Mishra and last updated on 2026-05-27. The file is shared under a CC-BY-4.0 license on figshare.
An anonymized dataset used for statistical analyses in a research study. The data is provided in an XLSX file sized 211.8 KB and is shared under a CC-BY-4.0 license. It was uploaded by Hassan A. Aljaberi to figshare in May 2026.
A 1.9 KB CSV dataset from figshare, authored by Li Zheng and last updated on 2026-04-22. The data likely contains results from a Single-Molecule Tracking (SMT)-driven drug discovery campaign that identified a potent RUVBL1/2 inhibitor, compound 18, for targeting MYC-driven cancers.
Australian coastal data provides a statistical model for extreme storm events, incorporating storm clustering effects. The analysis uses a 30-year timeseries of observations from the eastern and southern coast of Australia, developed by the Bushfire and Natural Hazards CRC Project. The methodology involves extracting independent storm events and modeling their multivariate characteristics.