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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
9,945 datasets
Global satellite-derived remote-sensing reflectance data from the Sentinel-3B OLCI instrument, produced by the Ocean Biology DAAC. The dataset provides near real-time snapshots of water-leaving radiance ratios across multiple spectral bands, which serve as foundational inputs for retrieving oceanographic parameters. This activity was informed by the U.S. Government's Satellite Needs Working Group.
Near real-time (NRT) global mapped remote-sensing reflectance (RRS) data from the Sentinel-3A OLCI instrument, version 2022.0. The Ocean Biology DAAC produces these products using the best-available ancillary meteorological and ozone data for a snapshot within a single orbit. This foundational observable supports the retrieval of ocean color products like chlorophyll-a concentration and supports algorithm development and water-quality applications.
The Ocean Biology DAAC produces near real-time (NRT) Sentinel-3A OLCI Level-3 global binned remote-sensing reflectance (RRS) data. This data provides a snapshot of water-leaving radiance ratios at specific wavelengths, which are foundational for retrieving ocean color products. The activity was informed by the U.S. Government's Satellite Needs Working Group.
2016 to 2023 passenger entry and exit counts for Sydney's train, metro, and light rail stations, derived from OPAL transaction data. The dataset is published by Transport for NSW and was last updated in March 2026. 'Typical day' data is available from 2016 to 2023, and the August 2024 update includes information on new Metro stations.
Near real-time (NRT) global mapped remote-sensing reflectance data from the PACE OCI instrument, produced by the Ocean Biology DAAC. The data provides a snapshot of water-leaving radiance ratios across specific spectral bands (e.g., Rrs_412, Rrs_443) during short orbital periods. This foundational observable supports the retrieval of ocean biogeochemical properties.
Near real-time satellite data provides a snapshot of ocean remote sensing reflectance (RRS) within a single orbit. The Ocean Biology DAAC produces this data using the best-available ancillary meteorological and ozone inputs. It is the foundational observable for retrieving products like chlorophyll-a concentration and supports water-quality and ecosystem applications.
Near real-time (NRT) remote sensing reflectance (RRS) data from the NOAA-21 satellite's VIIRS instrument provides a snapshot of ocean optical properties within a single orbit. The Ocean Biology DAAC produces this foundational observable, which is used to derive products like chlorophyll-a concentration and water clarity. Users must apply quality flags for land, cloud, and sun glint, especially in complex coastal waters.
NOAA-21 VIIRS Level-3 Global Binned Remote-Sensing Reflectance (RRS) - Near Real-time (NRT) Data, version 2025.0, is produced by the Ocean Biology DAAC (OB_CLOUD). It provides a snapshot of remote-sensing reflectance data from a single orbit, used as a foundational observable for retrieving ocean color products. The data is processed using the best-available ancillary meteorological and ozone data, though inputs and calibration are noted as less than optimal.
The Ocean Biology DAAC produces near real-time remote-sensing reflectance (RRS) data using the NOAA-20 VIIRS satellite. This foundational observable, measured in units of sr⁻¹, supports the retrieval of ocean color products like chlorophyll-a concentration and diffuse attenuation coefficient. Users must review per-file quality flags for land, cloud, sun glint, and high aerosol conditions, especially in optically complex coastal and inland waters.
This dataset provides near real-time (NRT) remote sensing reflectance (RRS) products derived from VIIRS satellite imagery, offering a snapshot of water-leaving radiance ratios at specific wavelengths (e.g., 412, 443 nm) for ocean color applications. It supports algorithm development, validation, and water-quality monitoring in coastal and inland ecosystems.
Near real-time satellite data providing global mapped remote-sensing reflectance (Rrs) at multiple wavelengths. The Ocean Biology DAAC produces this suite using the best-available ancillary data from meteorological and ozone sources. Rrs is the foundational observable used to retrieve products like chlorophyll-a concentration and support water-quality applications.
NASA's Ocean Biology DAAC produces near real-time (NRT) Remote Sensing Reflectance (RRS) data from the Aqua MODIS satellite. The dataset provides a foundational observable for retrieving ocean color products like chlorophyll-a concentration and supports water-quality and ecosystem applications. Users must review per-file quality flags, especially for optically complex coastal and inland waters.
Archived exchanges of notes and formal agreements between Canada and the United States related to defence cooperation. The collection includes documents covering subjects like amendments to the NORAD Agreement, reciprocal weapons-system testing, and joint undersea surveillance facilities. It was published by Global Affairs Canada and is archived as of March 2026, intended for research or recordkeeping.
22-channel microwave radiometer data captures upwelling radiances across six frequency bands from 23 to 183 GHz. The Advanced Technology Microwave Sounder (ATMS) instrument on the NOAA-20 satellite provides brightness temperature arrays with 135 along-track rows and 96 cross-track columns per channel. This Level 1B product is curated by NASA's GES DISC.
JPSS-1 ATMS Level 1B data contains calibrated brightness temperature measurements from a 22-channel microwave radiometer aboard the NOAA-20 satellite. The dataset is structured as a 3D array with 135 along-track rows, 96 cross-track columns, and a dimension for each channel, with data products constructed on six-minute boundaries. It is provided by the NASA GES DISC.
Hydroacoustic data collected from Southern Ocean cruises by the Australian Antarctic Division since 1990. The collection exceeds 2 terabytes of raw acoustic data, stored on the AAD's internal network. Data folders are organized by cruise, vessel (primarily Aurora Australis), and project code from 1990 through at least 2004.
High-resolution bathymetric grids across the Australian marine estate are becoming more accessible. These datasets can inform understanding of seafloor geomorphology to support marine management. The Australian Ocean Data Network distributed a promotional postcard for a working group meeting in October 2018.
Replication data for a study on public attitudes toward negotiated settlements during interstate war, focusing on Ukraine. The dataset was authored by Sam Whitt and published via Harvard Dataverse on June 4, 2026. The specific variables and row count are unknown.
A diverse range of biological imaging data and models curated by experts at Biohub. The data is made available when it is not publicly accessible elsewhere or requires transformations for model training. It is released under a BSD-3-Clause license.
Raw and converted measurements for Cambrian luolishaniid lobopodians, used to analyze predator-prey scaling laws. The dataset was created by Jared Richards and last updated on April 13, 2026. It includes raw unitless points from Adobe Illustrator and their conversions to centimeters.