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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,444 datasets
Jamie Davis published a 3.7 KB software dataset on figshare in June 2026. The dataset contains the production-hardened Lock-Free Ring Buffer Core for the Davis Logic V2 DULLEA framework. It is engineered for high-velocity asynchronous communication on 32-bit bare-metal architectures.
31 shikonin derivatives were synthesized and evaluated for anticancer activity. The dataset includes structure-activity relationship analysis identifying compound 3k, which showed approximately 10-fold greater antiproliferative potency than shikonin in gastric cancer cell lines. The data, authored by Bei Zhang and last updated in 2026, includes results from proteomic profiling and in vivo xenograft model validation.
A three-dimensional periodic atomistic CHONS model of Shenmu bituminous coal containing 10,001 atoms in a 45.6 Å cubic cell. The model was constructed via a molecular dynamics-coupled hybrid reverse Monte Carlo workflow under ReaxFF, constrained by experimental synchrotron X-ray scattering data. The structure was validated against quantitative solid-state NMR and XPS measurements.
A 43.1 MB DOCX file from figshare details a systematic evaluation of DURAMAX™ acrylic additives in aqueous alumina systems for freeze granulation. Author Ismaïl M’Barki investigated the effects of solid loading, binder content, dispersant type, plasticizer addition, atomization pressure, and suspension flow rate on granule properties. The results provide a formulation–process–property framework for designing reproducible alumina feedstocks.
NASA's AIRS/Aqua L3 Monthly CO2 dataset provides gridded retrievals of mid-tropospheric carbon dioxide concentrations. Data is derived from the Atmospheric Infrared Sounder and AMSU instruments aboard the Aqua satellite, representing a sensitivity-weighted average peaking between 6-10 km altitude. Each monthly file contains gridded mean values, standard deviations, and observation counts at a 2.5x2 degree resolution.
Xuemin Zhang's 2026 systematic review and meta-analysis aggregates evidence from 20 studies published between 2013 and 2025, involving 1,502 patients. The work compares adjunctive acupuncture to standard care for sepsis-associated acute gastrointestinal injury. It includes an exploratory Bayesian network meta-analysis to compare electroacupuncture and manual acupuncture.
Xuemin Zhang's systematic review and meta-analysis, published on figshare in 2026, synthesizes evidence from 20 studies (n=1,502 patients) published between 2013 and 2025. The work evaluates adjunctive acupuncture for sepsis-associated acute gastrointestinal injury, comparing it to standard care and different acupuncture modalities. It includes an exploratory Bayesian network meta-analysis and is registered with PROSPERO (CRD42024530297).
A 2026 systematic review and meta-analysis by Xuemin Zhang, aggregating results from 20 studies (n=1,502 patients) published between 2013 and 2025. The document analyzes the effects of adjunctive acupuncture on gastrointestinal function and inflammatory markers in critically ill patients with sepsis-associated acute gastrointestinal injury.
Xuemin Zhang's supplementary file contains the full manuscript for a systematic review and meta-analysis of 20 studies published between 2013 and 2025. The review, registered as CRD42024530297, analyzes the effects of adjunctive acupuncture on 1,502 adult patients with sepsis-associated acute gastrointestinal injury. The 31.2 KB DOCX file includes the study's background, methods, results, and conclusions.
A 2.0 MB DOCX file authored by Enxue Song and last updated on June 2, 2026, presents a structured narrative synthesis and Bayesian network meta-analysis on GLP-1 receptor agonists for Polycystic Ovary Syndrome. The work integrates evidence from randomized trials, observational studies, and clinical guidance to address the metabolic-reproductive-pregnancy continuum. It distinguishes between evidence for short-term metabolic benefits and the greater uncertainty regarding reproductive outcomes and periconception safety.
2.2 KB of C++ source code implementing a multi-sample sliding window variance calculator. The module tracks statistical signal noise and volatility by computing real-time mathematical variance across an active sliding window of reconstructed data streams. Authored by Jamie Davis and released under a CC BY 4.0 license, it was last updated in May 2026.
A simulation study from 2026 by Jingan Peng compares adaptive cruise control (ACC) systems in electric and internal combustion engine vehicles. The research uses a high-fidelity, validated ACC model to evaluate safety, consistency, and comfort across extreme deceleration and stop-and-go traffic scenarios. Results indicate the ACC-EV system showed significantly higher performance across all measures compared to the ACC-ICEV system.
18.4 MB of supporting materials for a fast, closed-form bandwidth selector for the beta kernel density estimator. The dataset includes a Python package and documentation authored by Johan Hallberg Szabadváry, last updated on 2026-05-08. The method reduces bandwidth selection complexity from iterative optimization to O(1) and is validated on socioeconomic data.
Australian Bureau of Statistics (ABS) Statistical Area Level 2 (SA2) boundaries for the state of New South Wales. The dataset is part of the Australian Statistical Geography Standard (ASGS) used for collecting and releasing census and other geographically classified statistics. It was published by Spatial Services (DCS) and last updated on 2026-04-27.
NASA's Spatial Statistical Data Fusion (SSDF) Level 3 dataset provides daily estimates of near-surface vapor pressure deficit over the continental United States. The product fuses data from the AIRS instrument on Aqua and the CrIMSS suite on Suomi-NPP, using a statistical algorithm that weights inputs by their estimated variance. It provides these estimates on a consistent ¼-degree latitude/longitude grid.
NASA's Spatial Statistical Data Fusion (SSDF) Level 3 product provides daily estimates of near-surface atmospheric temperature over the continental United States. The dataset fuses observations from the AIRS instrument on Aqua and the CrIMSS suite on Suomi-NPP using a statistical algorithm that weights inputs by their estimated variance. Outputs are on a consistent ¼-degree latitude/longitude grid, creating a synthesized temperature field.
Australian Bureau of Statistics (ABS) Statistical Areas Level 1 boundaries for the state of New South Wales. The dataset provides the geographical framework for collecting and releasing census and other statistical data under the Australian Statistical Geography Standard (ASGS). Spatial Services (DCS) maintains this updated GDA2020 version, last updated on 2026-04-27.
Australian Bureau of Statistics (ABS) Statistical Areas Level 3 boundaries for the state of New South Wales. The dataset is part of the Australian Statistical Geography Standard (ASGS) used for the 2016 Census of Population and Housing and is published by Spatial Services (DCS). The service was last updated on 2026-04-27 and uses the GDA2020 coordinate reference system.
A simulation study by Chao Hong, last updated in May 2026, proposes a route scheduling optimization model for shared passenger-carrying unmanned aerial vehicles (UAVs) in multi-airport environments. The model integrates passenger order characteristics and UAV operational parameters, with results showing a 27.3% reduction in total navigation time compared to non-pooling baselines. The framework is suggested to be relevant for border regions with limited ground infrastructure.
Simulation data for a shared unmanned aerial vehicle (UAV) route scheduling optimization model in multi-airport environments. The dataset, created by Chao Hong and last updated in May 2026, models passenger order characteristics and UAV operational parameters to minimize total system navigation time. Results indicate the proposed SLALO optimizer achieved a 27.3% reduction in navigation time compared to non-pooling baselines.