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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
8,945 datasets
Aquarius Level 3 data provides sea surface density estimates on a 1-degree spatial grid, averaged over daily, 7-day, monthly, and seasonal timescales. This version 5.0 product is a mission cumulative series derived from Ascending satellite passes, using retrieved salinity and collocated sea surface temperature. The data originates from the NASA-CONAE AQUARIUS/SAC-D satellite, which uses three radiometers and a scatterometer operating at 1.413 GHz and 1.26 GHz, respectively, to measure ocean brightness temperature and backscatter.
NASA's Aquarius satellite, a joint mission with Argentina's CONAE, produced this Level 3 dataset by measuring ocean brightness temperature at 1.413 GHz. It provides a 28-day running mean of sea surface 'spiciness', a water mass property, at a 1-degree spatial resolution using only ascending pass data. The dataset is derived from three push-broom radiometers with a combined 370 km swath, corrected for surface roughness by a co-located 1.26 GHz scatterometer.
NASA's Aquarius satellite, a joint mission with Argentina's CONAE, used three radiometers and a scatterometer to measure ocean salinity via brightness temperature at 1.413 GHz. This Level 3 dataset provides the mission-cumulative mean of sea surface spiciness, a water density property, at a 1-degree spatial resolution, derived exclusively from the satellite's descending passes. The data is processed into daily, 7-day, monthly, and seasonal averages for analysis of ocean density structure and climate-related processes.
NASA and CONAE's Aquarius/SAC-D satellite mission provides Level 3 gridded ocean surface wind speed data. This dataset contains the mission series mean, Ascending-pass wind speed product at a 1-degree spatial resolution, averaged over daily, 7-day, monthly, and seasonal timescales. Data originates from a three-beam push-broom radiometer system measuring brightness temperature at 1.413 GHz, with a scatterometer at 1.26 GHz for surface roughness correction.
Aquarius Level 3 data provides ocean surface wind speed at a 1-degree spatial resolution, averaged over daily, 7-day, monthly, and seasonal scales. This specific dataset is the 28-Day running mean product derived solely from satellite Descending passes, representing the official end-of-mission public release (version 5.0) from the NASA/CONAE AQUARIUS/SAC-D mission. The instrument uses three radiometers at 1.413 GHz and a 1.26 GHz scatterometer for surface roughness correction.
Queensland Department of Justice data supporting the Digital Projects Dashboard. The dataset likely contains a list of digital and ICT-enabled initiatives and their reported statuses. It was last updated on 2026-05-04.
Digital and ICT-enabled initiatives reported by the Queensland Department of Premier and Cabinet support the Digital Projects Dashboard. The dataset likely contains a list of projects and their reported statuses. It was last updated on 2026-05-04 and is published under a CC-BY-4.0 license.
A 3.0 MB Excel workbook containing eight supplementary tables (S1-S8) authored by Ashley A. Powell. The file is licensed under CC-BY-4.0 and was last updated on 2026-05-27.
Dielectric measurements for aluminum oxide and antimony oxide thin films synthesized by pulsed laser deposition. The dataset includes capacitance and loss tangent measurements across a range of temperatures, with AC frequency as the independent variable. It was authored by Ruey Jinq Ong and last updated in May 2026.
9.5 KB of tabular data in XLS format, last updated on 2026-05-27. The dataset contains social support, relationships, quality of life, and resilience scores for World Trade Center Responder (WTC-R) parents and their children, stratified by WTC-wR and WTC-pR groups. It was authored by Yael M. Cycowicz and shared under a CC-BY-4.0 license on figshare.
Aquarius CAP Level 3 Sea Surface Salinity Rain Corrected Standard Mapped Image 7-Day Data V5.0 is a satellite-derived oceanographic dataset from the NASA-CONAE AQUARIUS/SAC-D mission. It provides gridded, rain-corrected sea surface salinity (SSS) at a 1-degree spatial resolution, averaged over weekly intervals using the Combined Active Passive (CAP) algorithm which simultaneously retrieves salinity and wind speed from radiometer and scatterometer data. This version 5.0 incorporates improved geophysical models and uses Canadian Meteorological Center sea surface temperature data.
TBS-OCHRO Timeliness Reports provide aggregate adherence results to specific timeliness standards for departments and agencies using the Phoenix pay system. The data, last updated on 2026-04 09, is published by Public Services and Procurement Canada under the OGL-CA-2.0 license. Reports measure the percentage of transactions meeting standards to help minimize late transactions that can lead to employee overpayments or underpayments.
Irwansyah Irwansyah provides a dataset, coding framework, and source audit trail supporting a study on responsible artificial intelligence in Indonesian undergraduate AI curricula. The data is derived from a national document analysis, with public source URLs included for verification. The dataset was last updated on May 12, 2026, and is shared under a CC-BY-4.0 license.
472 sediment grain size samples and 304 biogenic silica measurements provide insight into seabed habitats across East Antarctica. This compilation incorporates data analyzed from the 1950s to 2012, aggregated by the Australian Ocean Data Network. Sediment properties are overlaid on bathymetry maps to illustrate variations within seven proposed Marine Protected Areas.
Supplementary material for the article 'The H2G Index: A Novel Bibliometric Tool for Quantifying Mentorship Impact.' The dataset contains scripts and data for reproducing a proof-of-concept indicator that estimates a senior researcher's indirect impact by aggregating the h-indices of their first-author co-authors. The repository, created by Paulo Sergio Panse Silveira of LEAP - Laboratory for Evaluation and Analysis in Psychometrics, was last updated on 2026-05-19.
1.1 MB of behavioral data and preprocessed fMRI outputs, including ROI-level beta estimates and MVPA decoding accuracies, supporting a neuroscience paper. The dataset was created by Ritsuko Nabata, Mitsuki Niida, Kosaku Takahashi, and Kenji Ogawa and last updated on May 13, 2026. Files are available in IPYNB, CSV, and TXT formats under a CC-BY-4.0 license.
Gravimetric moss moisture measurements from June to September 1994 characterize daily surface hydrological processes in the boreal forest. A nested spatial sampling plan at the NSA OBS Tower Flux site and Joey Lake, Manitoba, was designed to study spatial variations in canopy interception, drip, and drainage. These point measurements support research into the impact of hydrological variations on modeled carbon and water budgets.
Over 100 potential satellite match-ups are planned for this dataset of remote-sensing reflectance (Rrs) measurements. The National Aeronautics and Space Administration collected this data in the Sargasso Sea using Hydrostation-S, BATS, and BVAL research cruises over a planned 2.5-year duration to support the PACE mission.
A map service from Spatial Services (DCS) depicts locations where personal hardship assistance grants are available in New South Wales, Australia. The data was initially published on 11 March 2025 and was current as of 19 March 2025.
March 9-20, 2024 chlorophyll-a data collected during the RV Investigator voyage IN2024_T01 from Fremantle to Hobart. The dataset comprises in vitro fluorometric analyses from underway seawater and CTD collections, providing an indicator of phytoplankton biomass. It was contributed by the CSIRO Marlin Data Catalogue to support studies of marine primary productivity.