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Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,460 datasets
Satellite-derived mid-tropospheric carbon dioxide concentrations are provided as daily gridded retrievals from the AIRS and AMSU instruments aboard NASA's Aqua satellite. The data consists of arithmetic mean values, standard deviations, and input counts for each 2.5 by 2 degree latitude-longitude grid cell, covering latitudes from -60 to +90 degrees. This Level 3 product is generated by NASA's Goddard Earth Sciences Data and Information Services Center (GES DISC).
VectionLabs created Chimera Bench V1, a benchmark dataset containing 8,503 articulated multi-step problems. The dataset is organized into four domains: 3,803 problems in MATH, 1,500 in CODE, 1,500 in SCIENCE, and an unspecified number in REASONING. It was last updated on the Hugging Face platform in April 2026.
A daily statistical summary of land surface parameters from the Multi-angle Imaging SpectroRadiometer (MISR) satellite, version 4. The data provides global coverage on a 0.5-degree by 0.5-degree geographic grid, with parameters including directional hemispherical reflectance (DHR), FPAR, NDVI, and Leaf Area Index (LAI). It is produced by the National Aeronautics and Space Administration and was last updated in March 2026.
Monthly reports contain analysis and statistical illustrations of key economic indicators monitored by Corporate Economics. The data includes metrics like unemployment rates, inflation, retail sales, housing starts, building permit values, and hourly wages for Calgary and Alberta. It is published by data.calgary.ca and was last updated in March 2026.
Monthly economic indicators for Calgary, Alberta, include 14 metrics such as employment changes, housing starts, retail sales, and inflation rates. The dataset is published by data.calgary.ca and was last updated in March 2026. It provides time-series data for monitoring regional economic performance.
AMSR2 sensor data provides daily sea ice concentration percentages over the Arctic and Antarctic oceans on a 0.25-degree grid. The Japan Aerospace Exploration Agency (JAXA) produces this dataset from the GCOM-W satellite launched in 2012. Level 3 processing calculates daily statistical means from ascending and descending satellite tracks.
Global sea ice concentration data derived from the AMSR2 sensor aboard the JAXA GCOM-W satellite. The dataset provides monthly statistical means, including Sea Ice Concentration percentage, its standard deviation, and data count metrics, on a 0.1-degree grid. It is produced by the Japan Aerospace Exploration Agency (JAXA) from observations beginning after the satellite's launch in May 2012.
AMSR2 sensor data provides monthly average sea ice concentration percentages over the Arctic and Antarctic oceans on a 0.25-degree grid. The Japan Aerospace Exploration Agency (JAXA) produces this dataset from the GCOM-W satellite, launched in 2012. Level 3 processing calculates statistical means from daily observations.
Sea ice concentration data at a 0.1-degree grid resolution provides daily coverage of the Arctic and Antarctic oceans. The Japan Aerospace Exploration Agency (JAXA) produces this dataset from the AMSR2 sensor onboard the GCOM-W satellite, launched in 2012. Level 3 processing calculates daily statistical means from Level 1B and Level 2 inputs.
Rat brain synaptosome data from affinity-based protein profiling experiments identifies benzodiazepine drug targets. The dataset supports the chemoprotR R package for combined quantitative and qualitative analysis of chemoproteomic data with high missingness. It contains results from three synthesized benzodiazepine affinity-based probes applied to complex protein samples.
2026 data from chemoproteomic affinity-based protein profiling (AfBPP) experiments on rat brain synaptosomes using synthesized benzodiazepine probes. The dataset, provided in XLSX format, supports the identification of specific benzodiazepine drug targets, including GABA<sub>A</sub> receptor subunits and other ion channel proteins, through combined quantitative and qualitative statistical analyses.
Affinity-based protein profiling data identifies benzodiazepine drug targets in rat brain synaptosomes. The dataset includes results from three synthesized benzodiazepine affinity-based probes, with minimal overlap in identified protein targets between probes. It was generated using the chemoprotR R package for combined quantitative and qualitative statistical analysis of chemoproteomic data.
Data.calgary.ca provides annual economic indicators for the Calgary region, including unemployment rates, housing starts, building permit values, inflation, and retail sales. The dataset is compiled by Corporate Economics to inform forecasts. The last update was recorded in March 2026.
Ontario data details services provided by the Child Witness Program, including court preparation and victim impact statement support. The dataset is published by the Government of Ontario and was last updated in March 2026.
A Data Management and Sharing Plan outlines the scientific data to be generated or used in a research project. The plan describes data related to mathematical modeling of concizumab and recombinant Factor VIIa in Glanzmann's Thrombasthenia. It was authored by Karin Leiderman and harvested by ODUM.
Geographic, meteorological, hydrologic, hydrodynamic, and built environment data used as inputs and outputs for numerical flood risk modeling in Louisiana. The data was collected from open sources like NOAA and USGS, formatted for use with the US Army Corps of Engineers' HEC-HMS and HEC-RAS software, and is made public by the State of Louisiana under a CC-BY-4.0 license. It supports stochastic and probabilistic flood prediction across a range of scenarios.
Figshare hosts a dataset from a study on the discovery of Hematopoietic progenitor kinase 1 (HPK1) inhibitors for cancer immunotherapy. The data originates from an integrated combinatorial chemistry-biological assay approach, leading to the identification of lead compound 8b and optimized compound 53 with an HPK1 IC50 of 1.7 nM.
Hunter-Alpha-SFT-300000x is a dataset of 308,000 reasoning traces distilled from the Hunter Alpha model via OpenRouter. The dataset contains 1.2 billion tokens and is distributed across mathematics (30%), coding (30%), science (15%), computer science (15%), and creative writing (10%). The dataset was created by ansulev and last updated on March 26, 2026.
A 2026 template from the Government of Yukon for formal agreements granting access to personal information for research or statistical purposes. It is provided in DOCX and HTML formats under a Yukon Open Government License. The document structure and specific data fields are not detailed in the available metadata.
A legal template from the Government of Yukon for obtaining consent to access personal information for research or statistical purposes. The document is provided in DOCX and HTML formats and was last updated in March 2026.