Loading...
Loading...
Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
10,021 datasets
Aquarius Level 3 satellite data provides gridded, 1-degree spatial resolution sea surface spiciness, a measure of ocean density stratification. This specific dataset is a monthly climatology product derived solely from Ascending satellite passes for version 5.0. The data was collected by the Aquarius/SAC-D satellite, a joint mission between NASA and Argentina's CONAE.
7-day averaged sea surface spiciness data derived from NASA's Aquarius/SAC-D satellite mission. The dataset provides gridded global ocean observations at 1-degree spatial resolution, created from descending satellite passes using version 5.0 of the Aquarius algorithm. It is a product of collaboration between NASA and Argentina's CONAE space agency.
Annual sea surface spiciness data from the Aquarius/SAC-D satellite mission, a collaboration between NASA and Argentina's CONAE. The dataset provides gridded, 1-degree spatial resolution spice values derived solely from satellite descending passes. It is part of the Level 3 standard mapped image product suite, which also includes daily, 7-day, monthly, and seasonal averages.
Global ocean data provides daily, gridded sea surface spiciness measurements at 1-degree spatial resolution from the Aquarius/SAC-D satellite mission. This Level 3 standard mapped image product is Version 5.0, a collaborative effort between NASA and Argentina's CONAE. The dataset includes averaged data over 7-day, monthly, and seasonal time scales alongside the daily product.
Aquarius Level 3 data provides a monthly climatology of sea surface spiciness, a measure of ocean water density, derived from satellite observations. This version 5.0 product is a collaborative effort between NASA and Argentina's CONAE, collected by the AQUARIUS/SAC-D satellite's three radiometers and a scatterometer. The data is presented as a standard mapped image with a 1-degree spatial resolution.
Aquarius Level 3 data provides gridded sea surface spiciness measurements at 1-degree spatial resolution, averaged over seasonal timescales from descending satellite passes. This version 5.0 dataset was produced by NASA and the Argentinian Space Agency (CONAE) using a dedicated satellite instrument with three radiometers and a scatterometer. The dataset's presence on multiple government platforms indicates its established role in earth science research.
Aquarius Level 3 ocean surface wind speed standard mapped image data provides daily, ascending-pass wind speed measurements at a 1-degree spatial resolution. This version 5.0 dataset is the official end-of-mission public release from the NASA/CONAE AQUARIUS/SAC-D satellite mission. It contains gridded data derived from three radiometers and a scatterometer operating at L-band frequencies.
Aquarius Level 3 ocean surface wind speed data provides gridded measurements at 1-degree spatial resolution, averaged over seasonal timescales. This version 5.0 dataset is the official end-of-mission public release from the NASA-CONAE AQUARIUS/SAC-D satellite mission, specifically containing wind speed products from Descending satellite passes. The data is derived from a satellite instrument combining three radiometers and a scatterometer for surface roughness correction.
Seasonal ocean surface wind speed data from the official end-of-mission public release (Version 5.0) of the NASA-CONAE AQUARIUS/SAC-D satellite. The dataset provides gridded measurements at 1-degree spatial resolution, derived from a three-radiometer push broom instrument and a scatterometer for surface roughness correction. Its cross-platform presence on NASA Earth Data and Data.gov signals its established role in the remote sensing community.
Aquarius Level 3 data provides monthly averaged ocean surface wind speed mapped on a 1-degree global grid. This version 5.0 product represents the official end-of-mission public release from the NASA-CONAE AQUARIUS/SAC-D satellite mission, which operated from 2011 to 2015. The dataset is derived from a combination of three radiometers and a scatterometer measuring brightness temperature and ocean backscatter.
Department of Motor Vehicles Registration Transactions: Two Year Window is a listing of vehicle and vessel registration transactions from the State of New York. The data is intended for parties studying the transportation industry and fleet characteristics. It was last updated on March 14, 2026.
New York State Child Support Warrants records warrants and related satisfactions or vacates filed by the NYS Department of Tax and Finance with the NYS Department of State. The dataset begins on July 1,ๆไปฌๅ็ฐ2025 and was last updated on March 14, 2026. It is provided by the State of New York.
Egocentric-10K contains 10,000 hours of first-person video footage comprising 1.08 billion frames recorded exclusively in real-world factory environments. Developed by builddotai and updated in February 2026, it provides a massive-scale resource for industrial action recognition and hand-tracking research.
123 Malaise trap samples collected in November-December 2021 within the 908 kmยฒ forested leakage belt of the Gola Rainforest National Park, Sierra Leone. The dataset documents trap locations and local environmental conditions for samples preserved in ethanol and sent for arthropod metabarcoding. The work was supported by the Natural Environment Research Council.
Hourly relative humidity data from an automatic monitoring buoy in Blelham Tarn, UK, covering January 2012 to December 2019. Averages are calculated from measurements taken every four minutes, with all timestamps in Greenwich Mean Time.
Multi-year transactional data from a global superstore, intended for e-commerce analytics and forecasting. The dataset is hosted on Kaggle, but specific details on its origin, size, and update frequency are not provided.
Temperature and salinity profile data were collected using bottle casts from the vessel PERSEY in a worldwide distribution. The data span over six decades, from 09 August 1926 to 02 November 1989. Data were submitted and collected by the Hydrometeorology Service of the Russian Navy (GSVMF) with support from Data Archaeology / Rescue.
AdaptiveSarsaCode is a dataset published on Kaggle. Its title suggests it contains code or data related to the SARSA reinforcement learning algorithm with adaptive elements. The dataset's specific content, size, and structure are unknown from the provided metadata.
1977/78 summer season logs and reports from the Australian National Antarctic Research Expeditions (ANARE) field program in Enderby Land. The collection includes planning documents, daily logbooks, and an end-of-season report covering survey, photography, geology, and glaciology activities. Data was archived by the Australian Antarctic Division.
Procgen Benchmark provides expert trajectories generated by a PPO reinforcement learning agent trained on 16 procedurally-generated gym environments. The dataset, created by EpicPinkPenguin, was last updated on March 8, 2026. Environments were created on 'easy' distribution mode with unlimited levels.