Loading...
Loading...
General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
194,257 datasets
VietHTR-Line is a dataset of 60,247 Vietnamese handwritten text images curated by 5CD-AI for Handwritten Text Recognition research. The images were crawled from public internet sources. The dataset was last updated on July 22, -2026.
Two vector shapefiles provide a modelled map of macrofaunal assemblage types and an associated confidence layer for UK waters. The classification is based on a random forest model applied to abundance data from the OneBenthic database spanning grab and core samples from 1976 to 2020. Both layers can be visualized and explored interactively in the OneBenthic Layers web tool.
Landgate provides the Port Authorities layer for Western Australia. The data is derived from the Spatial Cadastral Database (SCDB) and is updated regularly when boundary amendments are formalized and gazetted under the Port Authorities Act 1999. This layer supersedes a previous version (LGATE-132).
Cambridgeshire County Council data details where public funds are allocated for home care services for older people, broken down by electoral ward. The dataset includes figures for the 2015/16 and 2017/18 financial years. Its presence on multiple government data platforms indicates its use for public spending transparency.
A retrospective cohort of 289 adult patients with fever of unknown origin (FUO) or inflammation of unknown origin (IUO) who underwent 18F-FDG PET/CT imaging. The dataset contains extracted imaging features, including organ system involvement, maximum SUVmax values, and uptake patterns, which were used to derive four distinct patient clusters via consensus unsupervised learning. The clusters represent PET/CT phenotypes that showed low concordance with final clinical diagnoses, indicating they capture imaging patterns rather than specific disease etiologies.
Sule Ceylan published a dataset on 2026-05-29 containing results from a retrospective cohort study of 289 adult patients with fever of unknown origin (FUO). The data includes PET/CT imaging features such as organ involvement, SUVmax values, and uptake patterns, which were used for unsupervised clustering analysis. The study aimed to classify patients based on imaging phenotypes and explore their relationship with final clinical diagnoses.
A retrospective cohort of 289 adult patients with fever or inflammation of unknown origin who underwent 18F-FDG PET/CT imaging. The dataset, created by Sule Ceylan and last updated in May 2026, contains features extracted from PET/CT scans, including organ involvement patterns and SUVmax values, which were analyzed using four unsupervised clustering algorithms. The consensus clustering identified four distinct imaging phenotypes, which were compared to final clinical diagnoses.
Polygons of brownfield sites in the London Borough of Camden are available in JSON and CSV formats. The dataset is published by the London Borough of Camden under an OGL-UK-3.0 license. It was last updated on July 8, 2026.
Ofsted official statistics cover registered childcare providers and places, including most recent and provisional inspection outcomes. The data is provided in CSV, HTML, and ODS formats under the OGL-UK-3.0 license. Last updated on 2026-07-08 13:31:45.014612.
A retrospective cohort study of 289 adult patients with fever or inflammation of unknown origin who underwent 18F-FDG PET/CT imaging. The dataset includes extracted features on organ involvement and SUVmax values, used for unsupervised clustering to identify imaging phenotypes. The data was authored by Sule Ceylan and last updated on 2026-05-29.
Sule Ceylan's dataset contains results from a retrospective cohort study of 289 adult patients with fever of unknown origin (FUO). The data includes consensus clustering results based on PET/CT imaging features, such as organ involvement and SUVmax, derived using four unsupervised algorithms. The dataset was last updated on 2026-05-29.
A dataset of 289 adult patients with fever or inflammation of unknown origin (FUO/IUO) who underwent 18F-FDG PET/CT imaging. The data includes extracted features on organ and vessel involvement, SUVmax values, and uptake patterns, which were used in a consensus clustering analysis to identify four distinct imaging phenotypes. The dataset was created by Sule Ceylan and last updated in May 2026.
A 2026 retrospective cohort study of 289 adult FUO patients with a mean age of 59 years. The dataset, authored by Sule Ceylan, contains PET/CT imaging features used for unsupervised clustering to identify distinct imaging phenotypes, though these clusters showed low concordance with final clinical diagnoses.
A retrospective cohort of 289 adult FUO patients with a mean age of 59 years, comprising 128 women and 161 men. The dataset, created by Sule Ceylan and last updated in May 2026, contains PET/CT imaging features extracted for unsupervised clustering analysis. It includes data on organ involvement patterns and SUVmax values to explore imaging phenotypes.
Contracts Finder notices for April 2023, published by the UK Crown Commercial Service. The data is structured using the Open Contracting Data Standard (OCDS) flattened CSV format, with each file containing all OCDS releases for a single calendar day. This dataset provides a standardized record of public procurement activity for that month.
United Kingdom public procurement data for February 2023, published via the Contracts Finder portal. The dataset is structured according to the Open Contracting Data Standard (OCDS) in a flattened CSV format, with each file containing all releases for a single calendar day. It provides a standardized record of tender notices and contract awards from UK public sector bodies.
August 2022 contains daily snapshots of public procurement notices published on the UK's Contracts Finder platform, formatted according to the Open Contracting Data Standard (OCDS). The dataset is structured as flattened CSV files, with one file per calendar day capturing all releases. This standardized format facilitates analysis of government spending and supplier engagement for that month.
Contracts Finder Notices for July 2022 contain all public procurement notices published by UK government bodies during that month, structured using the Open Contracting Data Standard (OCDS) flattened CSV format. Each daily file aggregates the OCDS releases for that calendar day, providing a standardized view of tender opportunities and awards. The dataset's cross-platform presence on UK and EU open data portals signals its importance for transparency in public spending.
Contracts Finder Notices 03 2022 provides a daily record of UK public procurement opportunities published in March 2022. The data is structured according to the Open Contracting Data Standard (OCDS), offering a standardized view of tender releases, awards, and contract details. Its cross-platform presence on UK and EU open data portals signals its importance for transparency and market analysis.
Contracts Finder Notices 01 2022 contains public procurement notices from the UK government's official Contracts Finder portal for January 2022. The data is structured according to the Open Contracting Data Standard (OCDS) and is provided as daily flattened CSV files. This standardized format facilitates analysis of government spending and supplier activity for that month.