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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
194,257 datasets
Data associated with 'Site-specific Raman Probes Reveal Droplet Aging and Residue-level Fibril Polymorphism in TDP-43CTD' by Matthew Watson, published on figshare in 2026. The dataset contains 116.5 MB of microscopy images (TIF) and likely tabular data (XLSX) tracking protein droplet formation and fibril polymorphism over time.
Scottish Government SpatialData.gov.scot provides the best available data on wildfire and muirburn locations in Scotland from 2018. The dataset is compiled from satellite imagery, though cloud cover and resource constraints mean it is not a complete record of all burns. The data was last updated on 2026-07-08.
13,149 samples across 10,207 groups form this FiftyOne dataset for depth estimation. It spans three sub-collections named RobbyReal, RobbyVla, and RobbySim. The dataset was created by harpreetsahota and was last updated on Hugging Face in July 2026.
Three telecommunications infrastructure declarations by Opticomm Pty Ltd, submitted to the SIP Register on 28 May 2026. The data includes project areas, addresses, geographic coordinates, and dates for anticipatory notices and project completions. It is published under a CC-BY-4.0 license on the Australian government's open data platform.
NSW Government's 2017 progress report details actions taken to deliver the NSW Road Safety Strategy 2012-2021. The report outlines efforts toward a target of a 30% reduction in fatalities and serious injuries by 2021. It is a government document providing a snapshot of policy implementation and road safety initiatives for a single year.
A 6.3 MB collection of files from figshare, authored by Xinghao Qiao, last updated in June 2026. It likely contains data and results supporting a novel weight-calibrated estimation method for factor models of high-dimensional time series. The dataset includes PDF, ZIP, and TXT files detailing the method's performance against covariance-based and standard autocovariance-based approaches.
A compilation of sediment samples and observational data from the Vestfold Hills region of East Antarctica. The data includes point locations, sample types, analyses, and references to original sources, collected from the 1970s to the present. It was compiled by the Australian Ocean Data Network to support analysis of physical and chemical properties, sedimentary processes, and glacial history.
Corporate tax data from Austria, disaggregated by federal state, type of tax case, and economic sections. The dataset is provided by Cooperation OGD Österreich and Wikimedia Österreich under a CC-BY-4.0 license. Its temporal coverage begins in 2008, but the last update date is unknown.
Stadiums Queensland's contract disclosure register covers the period from 1 April to 30 June 2026. The register is published by Stadiums Queensland under the Queensland Government's Communities, Housing and Digital Economy department. It was last updated on 14 July 2026.
Apprenticeship Grants for Employers (AGE) scheme entitlement incentive breakdowns by age, region, local authority and subject sector area. The data is provided by the Skills Funding Agency and is licensed under OGL-UK-3.0. It was last updated on July 8, 2026.
A video flythrough presents seabed bathymetry compilations for the Australian Antarctic margin, derived from multibeam, singlebeam, and satellite data. The data reveals complex seabed environments, particularly off the Davis coastline, and includes images of seabed communities for the George V margin and Davis coastline. The dataset is hosted by the Australian Ocean Data Network and was last updated on 2026-06-27.
Regularly updated geospatial data defining official townsites in Western Australia. The dataset is derived from the Spatial Cadastral Database (SCDB) and is based on the GDA 94 coordinate system. It is maintained by the Western Australian Land Information Authority (Landgate) and supersedes the previous layer LGATE-007.
Lin Luo's research dataset underpins a machine learning model for predicting mortality risk in older adults with COVID-19. The model was developed using routine hematological indicators from 2393 patients and optimized via Bayesian optimization. The Light Gradient Boosting Machine (LGBM) model achieved an AUC of 0.973, and the study identifies top 10 key biomarkers like CRP and D-dimer.
A 2026 study by Patrick O. Akinwumi analyzes 3,240 participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to predict diagnostic worsening within 24 months. It uses baseline demographic, clinical, and cognitive variables to train XGBoost and logistic regression models under extreme class imbalance. The dataset includes model performance metrics and SHAP analyses for feature interpretation.
State Border (LGATE-245) is a geospatial dataset representing the administrative boundary of Western Australia. It supersedes the previous version LGATE-194 and is derived from the Spatial Cadastral Database (SCDB) based on the GDA 2020 datum. The data is provided by the Western Australian Land Information Authority (Landgate) and was last updated on 2026-06-29.
Landgate's historical aerial imagery covers a large portion of Western Australia. The dataset provides photography frame centers and metadata for projects captured from 1948 to the present day. Some projects have not yet been catalogued.
227 patient records with unilateral sudden sensorineural hearing loss were used to train an explainable machine learning model. The XGBoost model achieved an AUC of 0.718 in validation, identifying key predictors like activated partial thromboplastin time and platelet count. The dataset was created by Xiaoxiao Ye and last updated on June 1, 2026.
NHS Rushcliffe Clinical Commissioning Group's financial records detail individual expenditures exceeding £25,000 for May 2019. This dataset provides transparency into public healthcare spending, likely containing details on suppliers, payment amounts, and expense categories. Its publication supports accountability and analysis of cost patterns within a specific UK health authority.
September 2019 data details individual payments exceeding £25,000 made by the NHS Nottingham City Clinical Commissioning Group (CCG). The dataset provides a view into public healthcare spending for that month, likely containing transaction details such as supplier, amount, and expense purpose. It is available under a permissive CC-BY-4.0 license and is hosted on multiple government data platforms.
PSNI statistics detail motoring offences detected by police and handled via fixed penalty notices or speed awareness courses, excluding prosecution referrals. The data covers a six-year period from 2017 to 2022 and is published by OpenDataNI under the OGL-UK-3.0 license. Figures were last updated on July 8, 2026.