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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,485 datasets
A mathematical dataset from paperswithcode, authored by Kikumi K. Tatsuoka. The dataset's content is inferred to relate to the application of Boolean algebra for determining a universal set of knowledge states. The license is closed, and detailed metadata such as size, columns, and update date are not provided.
A mathematical model authored by Jiro Hamada, published on the paperswithcode platform. The model's specific data format, size, and content are not detailed in the provided metadata. Its license is listed as closed, restricting open redistribution.
Paul B. Baltes authored the Selection, Optimization, and Compensation Questionnaire, a psychological instrument. The dataset is hosted on the paperswithcode platform, which aggregates resources for AI and machine learning. Specific details on the number of items, respondents, or data structure are not provided in the available metadata.
David H. Raab's dataset likely contains experimental measurements of simple reaction times. The data appears to focus on statistical facilitation, a phenomenon in psychology and neuroscience. The dataset is published on the paperswithcode platform.
Paul Slovic authored a study comparing Bayesian and regression methods for analyzing judgment processes. The dataset likely contains statistical results or model comparisons from this academic research. Published on paperswithcode, it serves as a resource for methodological analysis.
Two images of the original text are available through the Archimedes Project and the University of Seville. The dataset presents the relevant text from Pacioli's 'Summa' concerning the division of stakes, along with an English translation and footnotes. A German translation from the anthology of Ivo Schneider was also consulted.
John K. Kruschke's research paper, published on paperswithcode, introduces a Bayesian statistical methodology. The paper likely contains theoretical arguments, simulation results, or example data comparing Bayesian estimation to traditional t-tests. Its specific content, such as the number of examples or analyses, is not detailed in the provided metadata.
rjags is a package for Bayesian analysis using Markov Chain Monte Carlo, authored by Martyn Plummer. It provides an interface to the JAGS library for fitting graphical models. The dataset's specific content, such as example models or simulation data, is not detailed in the available metadata.
A dataset titled 'Sindhi Probabilistic Clinical + Bayesian v8' is hosted on Kaggle. The dataset likely contains clinical data intended for probabilistic and Bayesian statistical analysis. Metadata is minimal, with details such as column names, size, and license unknown.
This collection comprises four datasets providing effect sizes for single-treatment PTSD studies, as referenced in a methodological article on meta-analysis. The data is curated by the United States Department of Veterans Affairs National Center for PTSD. The specific row counts, column structures, and file formats are not detailed in the provided input.
This collection comprises four datasets providing effect sizes for single-treatment PTSD studies, as referenced in a methodological article on meta-analysis. The data is curated by the United States Department of Veterans Affairs National Center for PTSD. The specific row counts, column structures, and file formats are not detailed in the provided input.
Offering the replication package for the paper 'Who Wins and Loses in a Bubble? Evidence from the British Bicycle Mania'. It contains the data and do files required to replicate all regressions and statistical significance tests from the study.
Offering the replication package for the paper 'Who Wins and Loses in a Bubble? Evidence from the British Bicycle Mania'. It contains the data and do files required to replicate all regressions and statistical significance tests from the study. The author is William Quinn.
Delivering a new GDP index for Puerto Rico covering the period from 1900 to 1940. It was created by John Devereux to analyze economic growth under American rule and during the Great Depression. The data supports the replication of findings on income per capita trends.
Aggregating observed and simulated data from 32 late blight epidemics across Ecuador, Mexico, Israel, and the United States, involving 13 potato cultivars. It was used to qualify the LATEBLIGHT simulation model, which predicts disease development based on weather, host growth, and resistance. The data supports analysis of model performance and sensitivity to variables like initial inoculum and weather.
High difficulty mathematical reasoning dataset published on Kaggle. The dataset is titled 'Math Problems for AIMO 3', which suggests it contains problems from a competition. Metadata is minimal; actual content and scale require verification after download.
University Sports Venue Scheduling Optimization is a dataset published on Kaggle. The dataset likely contains information for modeling and optimizing the allocation of sports facilities at a university. Columns may suggest scheduling constraints, venue capacities, and event details.
Statistical data on the power industry in China. The dataset is published on Kaggle, but the specific time range, author, and collection methodology are not detailed in the provided metadata. Its content likely contains annual figures and metrics related to electricity generation, capacity, and consumption.
Environmental and spatial planning records published on Kaggle. The dataset likely contains information for optimizing ecological landscape design. Specific details on volume, authorship, and temporal coverage are not provided in the available metadata.
A time-series benchmark tests whether models can infer an underlying data-generating process. The dataset is designed for evaluating artificial general intelligence capabilities. Its creator, size, and specific temporal coverage are not specified.