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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
142,125 datasets
Twenty sandstone samples from four Iranian formations were tested for physical and mechanical properties. The dataset contains laboratory measurements of dry unit weight, porosity, uniaxial compressive strength, and elasticity modulus, used to develop AI predictive models. It was authored by Davood Fereidooni and last updated in May 2026.
Davood Fereidooni's dataset contains parameters from a Spearman correlation analysis for predicting sandstone mechanical properties. It is based on laboratory tests of 20 sandstone samples from four Iranian formations, measuring physical and mechanical properties. The dataset was last updated on May 15, 2026.
20 sandstone samples from four Iranian formations were tested for physical and mechanical properties, including dry unit weight, porosity, uniaxial compressive strength, and elasticity modulus. The dataset was created by Davood Fereidooni and last updated on May 15, 2026. It likely contains the sample names and corresponding measured property values used to develop AI models for predicting mechanical strength.
20 sandstone samples from four Iranian formations were tested between an unspecified start date and 2026-05-15. The dataset, authored by Davood Fereidooni and shared on figshare, contains laboratory measurements of physical and mechanical properties used to develop AI models for predicting uniaxial compressive strength and elasticity modulus.
Australia's region from 70°E to 170°W and 20°N to 70°S is covered by a 0.02° x 0.02° gridded map of sea surface temperature (SSTskin). The data is derived from night-time observations by the AVHRR instrument on NOAA-XX satellites, with each grid cell containing a weighted average of the highest quality SSTs for a single night. The Australian Ocean Data Network provides this product as part of the GHRSST suite, with validation references indicating typical biases of < 0.05°C and standard deviations of 0.5°C to 0.6°C for NOAA-18 and NOAA-19 in 2014.
Brisbane City Council's list of bike repair stations includes station name, latitude, and longitude. The data is available on the council's open data website, which provides features for viewing and downloading the data in various formats. It was last updated on 2026-05-29.
An Australian study recruited 30 diabetes educators from New South Wales and Victoria. The dataset likely contains results from a quasi-experimental study evaluating a three-module training program, including pre-post knowledge scores and confidence assessments. The data was authored by Ajesh George and last updated on 2026-05-21.
Ajesh George published a supplementary document on figshare in May 2026. The document describes the development and evaluation of a three-module oral health training program for diabetes educators. The evaluation involved 30 educators from New South Wales and Victoria, showing significant improvements in knowledge and confidence.
30 diabetes educators from New South Wales and Victoria participated in a quasi-experimental study evaluating a three-module oral health training program. The study, authored by Ajesh George, includes pre-post questionnaire results showing significant knowledge improvement and qualitative interview data on program feasibility. The dataset was last updated on 2026-05-21.
Supplementary file 1 contains data from a quasi-experimental study evaluating an oral health training program for diabetes educators. The dataset likely includes pre-test and post-test questionnaire results from 30 educators in New South Wales and Victoria, Australia. The study was authored by Ajesh George and is available under a CC-BY-4.0 license.
Data Sheet 1_Harnessing interpretable deep learning to predict resistance in Klebsiella pneumoniae.pdf is a 221.5 KB PDF file authored by Nicolas da Matta Freire Araujo and last updated on 2026-05-28. It describes a deep learning model, DeepMDC, which uses whole-genome data to predict antimicrobial susceptibility in Klebsiella pneumoniae for four antibiotics: meropenem, cefepime, ceftazidime, and gentamicin.
A 0.02° x 0.02° cylindrical equidistant projected map of sea surface temperature (SSTskin) for the region 70°E to 170°W, 20°N to 70°S. The product is derived from AVHRR instruments on NOAA polar-orbiting satellites and provides a 6-day average of daytime SSTs weighted by overlap area. Production of this single-sensor product ceased in June 2025 due to the decommissioning of NOAA-18.
A single-center cohort of 559 chronic-phase chronic myeloid leukemia patients treated with flumatinib between 2018 and 2024. The dataset was used to evaluate three comorbidity scoring systems (CCI, ACE-27, CIRS-G) for predicting 12-month major molecular response via machine learning models. The analysis was authored by Yuanlan Yang and shared under a CC-BY-4.0 license.
A 4.1 KB machine-readable dataset framework and validation script for Artificial General Intelligence (AGI) alignment testing. It includes a structural alignment configuration referencing a 1,300-region human midbrain mapping and a 0.186743912058 Hz logic anchor. Authored by Jamie Davis and last updated in May 2026, the benchmark is designed for direct deployment in machine learning evaluation loops.
A 1.8 MB DOCX file contains supplementary material for a study on a mobile app designed to raise clinician awareness of sustainable kidney care. The app presented interactive modules on the environmental impact of kidney replacement therapies and was piloted with 38 delegates at the World Congress of Nephrology 2025. The material, uploaded by a figshare admin for Karger, discusses the feasibility of gamified digital tools for promoting sustainable practices.
A list of state-mandated pyrotechnician certificates issued for activities involving explosives in New York State, outside New York City. The data includes certificate classifications (Class A, B, C) defined by participation in proximate and non-proximate audience fireworks shows. It is maintained by data.ny.gov and was last updated in 2026.
Sea surface temperature (SST) maps derived from NOAA AVHRR satellite instruments, averaged over a single daytime period. The product covers the region 70°E to 170°W, 20°N to 70°S, with a 0.02-degree grid resolution. Production of this single-sensor product ceased in June 2025.
Five geospatial maps detail existing and future trunk infrastructure networks for Ipswich City Council. The dataset includes plans for public parks, roads, community facilities land, priority infrastructure areas, and projection areas. Data is maintained by Ipswich City Council and was last updated in May 2026.
42 pediatric patient records from a retrospective case-control study conducted between January 2020 and December 2024. The data was used to identify lactate dehydrogenase (LDH), C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR) as core inflammatory markers for predicting pulmonary consolidation via machine learning. An online risk assessment system built on these markers achieved an area under the curve of 0.993.
42 pediatric patient records from a retrospective case-control study conducted between January 2020 and December 2024. The data, published by Qianqian Dai, was used to identify three core inflammatory biomarkers for predicting pulmonary consolidation using five machine learning algorithms.