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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
3,064 datasets
Implementation of a deterministic, zero-allocation numerical differentiation engine for real-time kinematic tracking. The module executes a discrete second-order central finite difference calculation to approximate acceleration from sequential position data points using a signed Q16.16 fixed-point format. Authored by Jamie Davis and last updated on 2026-05-30, it is a 3.5 KB text file available under CC BY 4.0.
Acid-induced dissociation of biotin-labeled drugs from streptavidin-coated beads was characterized using a modified ADA bridging assay and Biolayer Interferometry. The dataset, created by Lili Guo and shared under CC-BY-4.0, contains JPG files totaling 301.6 KB and was last updated in May 2026. Dissociation magnitude was found to depend on acid type and pH, with acetic acid at pH 2.65, lactic acid at pH 2.23, and glycine at pH 3.00 producing the greatest dissociation.
99.07% accuracy was achieved on the EmoDB corpus and 98.96% on RAVDESS in a federated learning framework for speech emotion recognition. This 5.5 KB Excel dataset contains statistical validation results, including 10-fold cross-validation and zero-shot cross-corpus evaluation on CREMA-D, authored by Mohammed Tawfik and last updated in May 2026.
7 hypothetical parameters for a fractional-order computational model of breast cancer treatment dynamics. The dataset, authored by Irshad Sikandar Jamadar and last updated in May 2026, compares five treatment protocols across four patient populations, with efficacy scores ranging up to 32.38. It is stored in a 5.5 KB XLS file.
A collection of 19 literature-based parameters for a computational framework modeling breast cancer tumor dynamics, immune responses, and resistance mechanisms. The dataset supports analysis of fractional-order models across five treatment protocols and four patient populations, with efficacy scores up to 32.38. It was authored by Irshad Sikandar Jamadar and last updated on May 14, 2026.
Irshad Sikandar Jamadar's dataset contains 21 clinical parameters used to develop a fractional-order computational framework for breast cancer treatment. The data underpins an analysis of tumor dynamics, immune responses, and resistance mechanisms across five treatment protocols and four patient populations. The dataset was last updated on May 14, 2026.
A computational study by Irshad Sikandar Jamadar, last updated in May 2026, presents parameters for modeling breast cancer treatment dynamics. The dataset includes 11 experimental parameters used in a fractional-order framework to simulate tumor growth, immune response, and resistance across five treatment protocols and four patient populations. It is shared on figshare under a CC-BY-4.0 license.
5.5 KB of data compares five breast cancer treatment protocols across four patient populations using a fractional-order computational framework. The dataset, created by Irshad Sikandar Jamadar and last updated in May 2026, likely contains simulation results evaluating protocol efficacy, immune response, and resistance mechanisms. It models memory effects in biological systems, with efficacy scores ranging up to 32.38 for specific patient-protocol combinations.
A 323.7 KB dataset on figshare contains structural data for a novel antiarrhythmic lead compound, 6–24. The dataset, authored by Zhanpan Wu and last updated in May 2026, includes a PDB file likely detailing the compound's molecular structure derived from the roemerine scaffold.
A bootstrap-based test for detecting weak instruments in instrumental variable regression, developed by Zhaoguo Zhan. Monte Carlo simulations indicate the test has good size and power. The methodology is illustrated with an application analyzing the return to schooling.
The Australian Ocean Data Network provides this dataset on the spectral representation of isostatic models. It describes the use of admittance functions to model the relationship between gravity anomalies and topography, offering a computationally efficient alternative to conventional line-integral methods. The dataset was last updated on 2026-06-16.
Australian Ocean Data Network hosts a dataset on the geomorphology and sediment transport in Keppel Bay, Central Queensland. The data was created by classifying seabed sediments into five distinct classes using sediment sampling and acoustic seabed mapping tools. The classification is based on sediment grainsize, chemical composition, and modelled seabed shear stress from waves and tidal currents.
Predictors from the ERA5 reanalysis and predictand from the ReKIS database for statistical downscaling. The dataset is provided by Dánnell Quesada‐Chacón of Technische Universität Dresden. Data is saved in the ".rda" format for use with the R programming language.
Experimental data on guppy dispersal behavior, including individual brain weight, selection line, and environmental treatment. The dataset contains 34.2 KB of per-trial observations, created by Gilles De Meester and last updated on May 5, 2026. It likely originates from a controlled laboratory study.
A study constructing coagulation diagrams from bench tests using jartest equipment to evaluate water turbidity removal. The work used iron-free aluminum sulfate as a coagulant in dosages from 5 to 100 mg L-1 and coagulation pH from 3 to 9, investigating three sedimentation velocities. Daniel Bartiko authored this research, which is available via Open Access on paperswithcode.
An experimental study proposing a mix design method for coating mortars using artificial crushing sand as fine aggregate. The method was assessed using tests for air content, compressive strength, flexural strength, adherence, modulus of elasticity, water absorption, porosity, cracking, and stereoscopic images. The research was conducted by White José dos Santos and concludes the method is efficient for producing good quality mortars under ABNT NBR 13281:2005 specifications.
A statistical bulletin on workers compensation in New South Wales, Australia, for the 2016/17 period. It was published by the NSW Government and is available as a PDF document. The data was last updated on the data.gov.au platform in June 2026.
Brazilian coastal maritime transportation data from an oil company's operations, used to analyze a pickup and delivery vessel routing problem with time windows and a heterogeneous fleet. The dataset was used in a study by Vinícius Picanço Rodrigues that applied a mixed integer linear programming model and a relax-and-fix heuristic. Numerical experiments with this real company data confirmed the optimization method could find good solutions for moderate-size problem instances.
Dario Azzimonti presents a method for estimating orthant probabilities of high-dimensional Gaussian vectors. The procedure combines deterministic quadrature for low-dimensional terms with a novel asymmetric nested Monte Carlo algorithm for the remainder. The method is applied to derive conservative estimates of excursion sets for expensive deterministic functions under a Gaussian random field prior.
A research dataset by Edgar Vladimiro Mantilla Carrasco presents experimental results for determining the modulus of elasticity of wood as a function of fiber inclination using non-destructive acoustic tomography. Six wood species were tested using an acoustic tomograph with eight transducers, and the results were compared against six mechanical rupture criteria. The study concludes that the acoustic tomograph can determine the modulus of elasticity inclined to the fibers with a single test.