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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
11,249 datasets
6,026 children were included in a 10-year real-world cohort study (2016–2025), with 1,227 (20.4%) developing recurrent respiratory tract infections (RRTIs). The dataset, authored by Hehua Cai and shared on figshare under CC-BY-4.0, was used to develop and validate a predictive nomogram. The model identified independent predictors including allergy history, asthma history, vitamin levels, birth weight, passive smoking, and hemoglobin.
A cohort of 6,026 children was followed from 2016 to 2025 to study recurrent respiratory tract infections. The dataset, created by Hehua Cai and shared under CC-BY-4.0, includes 1,227 cases and was used to develop a predictive nomogram based on clinical history and nutritional indicators. The model was trained on 4,219 children and tested on 1,807.
A dataset from a study investigating the toxic effects of different molecular weight polycyclic aromatic hydrocarbons (PAHs) on the model organism Saccharomyces cerevisiae. The research assessed oxidative stress biomarkers including gene expression, reactive oxygen species generation, superoxide dismutase activity, and glutathione content after 24-hour exposure to phenanthrene, fluoranthene, benzo[ghi]perylene, and benzo[a]pyrene. The results demonstrated that cell viability and toxicity levels were related to PAH molecular weight and benzene ring count.
Chaithra Holla's qualitative study explores the personal and familial needs of parents with toddlers in urban Bengaluru, India. The dataset contains interview data from eight professionals and ten parents, analyzed thematically. The study was last updated on 2026-05-25.
Ching-Yi Wang's research data investigates how visually impaired individuals construct color experiences through multisensory stimulation. The dataset includes semi-structured interviews with six participants describing nine colors based on tactile, olfactory, auditory, and emotional cues, and a follow-up questionnaire with fifteen participants. The file was last updated on figshare in May 2026.
Ching-Yi Wang's research on figshare investigates how visually impaired individuals construct color experiences through multisensory stimulation. The dataset likely contains qualitative interview and questionnaire data from 21 participants describing nine colors based on tactile, olfactory, auditory, and emotional cues. The file was last updated on 2026-05-18.
Six participants were interviewed to describe nine colors based on tactile, olfactory, auditory, and emotional cues, and fifteen participants completed a follow-up questionnaire. The study by Ching-Yi Wang, published on figshare, found preferences for black, green, yellow, and red, and categorized elicited adjectives into emotional, taste, appearance, time, and abstract types.
Six participants described nine colors based on tactile, olfactory, auditory, and emotional cues in semi-structured interviews. A follow-up questionnaire with fifteen participants examined the recognition and applicability of the identified color adjectives. Ching-Yi Wang published this research document on figshare in May 2026.
AL-Hawamleh, Ahmad provides 5,244 citizen-level transaction profiles from the Digital Government Authority, Saudi Arabia, under official data request No. 23/2025/509. The dataset consists of administrative transaction records from Saudi e-government service interactions, including RFM indicators and auxiliary demographic variables. It was last updated on July 6, 2026, and was provided strictly for research purposes under restricted-access conditions.
South Africa humanitarian data from the HDX Humanitarian API, which provides standardized indicators from multiple sources for interoperability. The dataset is designed to facilitate automated workflows and visualizations to support humanitarian decision making. It was last updated on 2026-05-28 by the HDX Humanitarian API Data organization.
South Warwickshire NHS Foundation Trust published this dataset on uk_data. The data likely contains individual transactions exceeding £25,000 from September 2021. Columns suggest details on spending amounts, dates, and recipients.
South Warwickshire NHS Foundation Trust publishes records of its spending on items exceeding £25,000. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-07-08. Columns suggest it likely contains details such as transaction dates, amounts, suppliers, and expense categories.
HDX HAPI provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. It was last updated on 2026-05-28.
South Warwickshire NHS Foundation Trust published this record of individual transactions exceeding £25,000 in June 2021. The data likely contains details of public spending by a UK National Health Service trust. Its license is CC-BY-4.0, permitting broad reuse.
April 2021 data detailing individual transactions exceeding £25,000 made by the South Warwickshire NHS Foundation Trust. The dataset is published on the uk_data platform and is licensed under CC-BY-4.0. The platform tags suggest it contains information on public spending within the UK healthcare sector.
Financial transaction records from the South Warwickshire NHS Foundation Trust for December 2021, where each individual spend exceeds £25,000. The dataset is published on the uk_data platform under a CC-BY-4.0 license. The record was last updated on 2026-07-08 13:31:11.316347.
February 2021 transactions over £25,000 published by the South Warwickshire NHS Foundation Trust on the uk_data platform. The dataset likely contains records of high-value public spending within the UK's National Health Service. It was last updated on 2026-07-08 13:30:54.526603 and is shared under a CC-BY-4.0 license.
South Warwickshire NHS Foundation Trust published this dataset of transactions exceeding £25,000 in value. The data likely contains detailed records of high-value spending by the trust, starting from October 2021. It is licensed under CC-BY-4.0 and was last updated on 2026-07-08.
Data from the HDX Humanitarian API provides standardized humanitarian indicators designed for interoperability from multiple sources. The dataset facilitates automated workflows and visualizations to support humanitarian decision-making. It was last updated on 2026-05-28 by the HDX Humanitarian API Data organization.
HDX Humanitarian API data provides standardized indicators designed for seamless interoperability from multiple sources. The dataset facilitates automated workflows and visualizations to support humanitarian decision making. It was last updated on 2026-05-28 by the HDX Humanitarian API Data organization.