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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
185,240 datasets
Raw data from two rounds of a Delphi study, a structured communication technique used to achieve expert consensus. The dataset includes compiled graphs showing the 70% consensus threshold reached. Authored by Wandile Maphanga and last updated in May 2026.
AbteeXAILabs created this dataset of benchmark results for Foveance, an anticipatory context-allocation layer for long-horizon LLM agents. It contains evidence files for six different allocation policies tested on a buried-fact recall agent loop. The dataset was last updated on July 3, 2026.
A retrospective analysis of prospectively collected data from a multicenter cohort of 92 patients with early severe systemic sclerosis. The dataset includes serum levels of five chemokines and four soluble adhesion molecules at baseline, used to classify patients into three clusters with distinct pulmonary function trajectories over two years. The data was published by Saori Uesugi-Uchida under a CC-BY-4.0 license on figshare in April 2026.
A retrospective analysis of prospectively collected data from 92 patients with early severe systemic sclerosis (SSc) enrolled in a multicenter cohort. Serum levels of five chemokines and four soluble adhesion molecules were quantified at baseline, and patients were classified into three biomarker clusters. The dataset, authored by Saori Uesugi-Uchida and last updated in April 2026, compares pulmonary function trajectories among these clusters over time.
894 stenographic transcripts of presidential events for President Claudia Sheinbaum Pardo from October 2024 to December 2025. The dataset includes morning press conferences, inaugurations, anniversaries, speeches, and other official events, containing 79,780 interventions from all participants. It was constructed by Julio César Chavelas via direct scraping of gob.mx/presidencia and is version 1.0.
A 14.85-year mean follow-up study of 99,925 participants from the Kailuan cohort, identifying 1,804 incident lung cancer cases. The research evaluates associations between 15 inflammatory indicators and long-term and 10-year risk of overall and subtype-specific lung cancer. The dataset was authored by Songlin Li and last updated on 2026-04-27.
The Kailuan cohort study in China followed 99,925 participants for a mean of 14.85 years, identifying 1,804 incident lung cancer cases. It evaluates associations between 15 inflammatory indicators and the long-term and 10-year risk of overall and subtype-specific lung cancer. The dataset was authored by Songlin Li and last updated in April 2026.
A 14.85-year mean follow-up study of 99,925 participants from the Kailuan cohort, identifying 1,804 incident lung cancer cases. The dataset, authored by Songlin Li and last updated in 2026, analyzes associations between 15 inflammatory indicators and the risk of overall and pathological subtype-specific lung cancer.
99,925 participants from the Kailuan cohort were followed for a mean of 14.85 years, resulting in 1,804 incident lung cancer cases. The dataset contains results evaluating associations between 15 inflammatory indicators and the long-term and 10-year risk of overall and subtype-specific lung cancer. The study was authored by Songlin Li and last updated on 2026-04 27.
A cohort study of 99,925 participants from the Kailuan study with a mean follow-up of 14.85 years, identifying 1,804 incident lung cancer cases. It evaluates associations between 15 inflammatory indicators and the long-term and 10-year risk of overall and subtype-specific lung cancer. The dataset was authored by Songlin Li and last updated on 2026-04-27.
99,925 participants from the Kailuan cohort were followed for a mean of 14.85 years to study chronic inflammation's link to lung cancer. The analysis identified 1,804 incident lung cancer cases and evaluated 15 inflammatory indicators, including novel composite indices SIRI and AISI. Associations were found to vary by pathological subtype, with SIRI showing the strongest effects, particularly for squamous cell carcinoma.
A cohort study of 99,925 participants from the Kailuan study, with a mean follow-up of 14.85 years, investigating associations between 15 inflammatory indicators and the incidence of lung cancer pathological subtypes. The dataset includes 1,804 incident lung cancer cases and presents hazard ratios for markers like SIRI and AISI. Author Songlin Li published the data on figshare in April 2026 under a CC-BY-4.0 license.
Bushcare Groups data is published by the City of Hobart Open Data platform. The dataset likely contains information on community-led environmental volunteer groups active in the Hobart area. Its availability in multiple geospatial formats suggests it can be used for mapping group locations and activities.
2-meter contour data for the City of Hobart, Australia, provides detailed topographic elevation information. The dataset is published by the Hobart City Council's GIS team and is available in multiple geospatial formats. Its cross-platform presence indicates it is a maintained public resource for local geospatial analysis.
Hobart City Council provides geospatial data on designated off-leash dog exercise areas within the municipality. The dataset is published as open data and is available in multiple formats, including CSV and GeoJSON. Its primary purpose is to inform residents and visitors about locations where dogs can be exercised.
Drinking Fountains View is a geospatial dataset listing public drinking fountains in the City of Hobart, Australia. The data is provided by the Hobart City Council as part of its open data initiative. It is available in multiple formats, including GeoJSON, CSV, and KML, suggesting it contains location coordinates and likely attributes for each fountain.
Contour 0.5m data provides detailed elevation information for the City of Hobart, Australia. The dataset is maintained by HCCGISICT and is available in multiple geospatial formats, including GeoJSON, KML, and via an ArcGIS REST API. Its cross-platform presence on data.gov.au suggests it is a core geospatial resource for the region.
City of Hobart Open Data provides geospatial information on road formations, specifically focusing on kerb features. The dataset is maintained by HCCGISICT and is available in multiple formats including GeoJSON, CSV, and KML. Its primary subject is the physical infrastructure of roads within the City of Hobart jurisdiction.
City of Hobart's official dataset details the formation of roads and kerbs within its jurisdiction. Columns likely contain geospatial features and attributes related to road development and infrastructure. Its availability across multiple platforms suggests it is a maintained core dataset for local planning.
City of Hobart data describes the municipal stormwater drainage network, including pipes, nodes, and branch connections. The dataset is available in multiple geospatial and tabular formats, such as GeoJSON, CSV, and KML. It is published as open data by the City of Hobart's GIS/ICT team.