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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
10,017 datasets
A realistic synthetic dataset for predicting missed medical appointments. The dataset is hosted on Kaggle. The author, organization, and last update date are unknown.
A 13.5 KB Excel file containing recommended strategies to support postdoctoral fellow well-being, with themes and sub-themes rank ordered by prevalence. The dataset was authored by Suzanne C. Harris and last updated on March 17, 2026. It is licensed under CC-BY-4.0 and hosted on figshare.
532 species of Saccharomycotina yeasts are tested for resistance to eight different antifungal drugs. The dataset was authored by Marie-Claire Harrison and last updated in March 2026. It is a small, 58.1 KB Excel file released under a CC-BY-4.0 license.
S1_Dataset is a supporting information file for a study on therapeutic communication among nursing students. The dataset is 67.2 KB in size, authored by Jaime Carballedo-Pulido, and was last updated on March 17, 2026. It is licensed under CC-BY-4.0 and hosted on figshare.
How The Magic Went Black is a critical dataset created by TrantifaSgt to correct a systematic tilt in AI training data. The dataset focuses on spirit possession, sacred authority, and the manufacture of binary gender, countering Western academic traditions. It was last updated on March 19, 2026.
28-day running mean sea surface salinity data is provided by the Aquarius/SAC-D satellite mission, a NASA and CONAE collaboration. The Level 3 product offers gridded, rain-flagged salinity at 1-degree spatial resolution, derived from descending satellite passes using three radiometers and a scatterometer for surface roughness correction. This dataset represents the version 5.0 official release.
28-day running mean sea surface density data from the Aquarius/SAC-D satellite mission, providing global ocean coverage at a 1-degree spatial resolution. The dataset is derived from satellite-retrieved salinity and collated sea surface temperature using the TEOS-10 standard. This Version 5.0 release represents the official end-of-mission public data from the NASA and CONAE collaboration.
Aquarius Level 3 sea surface density data provides gridded global ocean density estimates at 1-degree spatial resolution. The dataset is derived from satellite-measured brightness temperature and backscatter, processed using the TEOS-10 standard, and includes averages over daily, 7-day, monthly, and seasonal timescales. This mission-cumulative product (Version 5.0) results from a collaboration between NASA and Argentina's CONAE space agency.
Aquarius Level 3 sea surface salinity data provides gridded 1-degree spatial resolution maps of salinity, averaged over daily, 7-day, monthly, and seasonal scales. This specific dataset is the mission series mean for Ascending passes from version 5.0 of the Aquarius instrument, a joint NASA and CONAE satellite mission. The data is derived from three radiometers and a scatterometer measuring brightness temperature and ocean backscatter at L-band frequencies.
Cumulative sea surface salinity data from the Aquarius/SAC-D satellite mission, representing the mission series mean for descending passes. This Level 3 product provides gridded data at 1-degree spatial resolution, averaged over daily, 7-day, monthly, and seasonal timescales. It is a collaborative effort between NASA and the Argentinian Space Agency CONAE, with the latest documented update in 2015.
Global ocean data provides gridded sea surface spiciness measurements at 1-degree spatial resolution, averaged across daily, weekly, monthly, and seasonal timescales. This mission series mean product (Version 5.0) originates from the NASA and CONAE collaborative Aquarius/SAC-D satellite mission. The dataset includes measurements from three radiometers and a scatterometer for surface roughness correction.
Aquarius Level 3 data provides global ocean surface wind speed measurements averaged over a 28-day running mean. This official end-of-mission release (Version 5.0) contains gridded data at 1-degree spatial resolution, produced from the AQUARIUS/SAC-D satellite, a joint NASA and Argentinian CONAE mission. The dataset is derived from a three-beam radiometer and scatterometer system measuring brightness temperature and ocean backscatter.
Global ocean surface wind speed data is provided as a gridded Level 3 product from the Aquarius/SAC-D satellite mission, a NASA and CONAE collaboration. The dataset contains mission-series mean wind speeds at a 1-degree spatial resolution, averaged across daily, 7-day, monthly, and seasonal timescales. It represents the cumulative product for version 5.0 of the Aquarius data release.
A dataset titled 'transaction_dataset1' published on Kaggle. The dataset's content likely contains records of financial or commercial transactions, as suggested by its title. Specific details regarding its size, origin, and temporal coverage are unavailable from the provided metadata.
A chromosome-level genome assembly for the wild Chinese yam (Dioscorea opposita), a perennial vine endemic to East Asia. The dataset was authored by Huijun Wang and published on figshare in April 2026. It provides a foundational genetic resource for a species valued as both a food source and in traditional medicine.
Genetic and life history information for chum and pink salmon populations in their southern North American range. The dataset compiles available information on these species, which have experienced significant declines south of the Columbia River. Tissues for DNA extraction were collected from adult spawners and carcasses in Washington and Oregon from 2009 to the present.
Pengjuan Wang's doctoral research dataset investigates scholars' participation in peer review across Chinese-language and English-language academic journals. It contains interview transcripts from 63 academic researchers, along with supporting materials like an interview protocol and coded excerpts. The data explores motivations, experiences, and attitudes toward reviewing for domestic and international journals.
XBT real-time data is available through the IMOS portal and collected by technicians on ships of opportunity along established transit lines. The data undergoes a full scientific QC process identifying bad data and oceanic features like eddies, fronts, and temperature inversions. Finally, the data is distributed to the GTSPP global data acquisition centre in Washington DC and covers waters around Australia and across to New Zealand.
Delayed mode ocean temperature profiles collected via expendable bathythermographs (XBTs) deployed from commercial vessels. The IMOS Ship of Opportunity Underway XBT group operates five high-resolution lines repeated four times per year. This dataset covers the Indian Ocean, Southern Ocean, and Pacific Oceans.
Six GPS data points were collected opportunistically by Alfred Wilklemayer during a one-year expedition to Commonwealth Bay, Antarctica. The dataset records specific locations, including canisters and expedition boundaries, from the year 1997. It is provided by the Australian Antarctic Data Centre (AU_AADC).