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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
10,010 datasets
Near real-time global fire detection data from the NOAA-20 satellite's VIIRS instrument. The product provides 375-meter resolution active fire locations, offering improved mapping of small fires and large fire perimeters compared to coarser resolution products. It is produced by LANCEMODIS for fire management and scientific applications.
The Australian Antarctic Geodetic Network provides geodetic positions for permanent survey marks on stable rock in Antarctica. Positions are computed from conventional survey observations and high-precision GPS measurements, adjusted to the International Terrestrial Reference Frame. This work is part of ASAC project 1159 and is managed by the Australian Antarctic Data Centre.
Version 2022.0 of the Terra MODIS Level-3 Remote Sensing Reflectance (RRS) suite provides global mapped data. The data includes variables named by their band center wavelength, such as Rrs_412 and Rrs_443. This reflectance data is a foundational observable used by NASA Earthdata for retrieving oceanographic products.
Version 2022.0 of the Terra MODIS Level-3 Global Binned Remote Sensing Reflectance (RRS) dataset provides the ratio of water-leaving radiance to downwelling irradiance just above the water surface. The data likely contains reflectance values for specific spectral bands (e.g., Rrs_412, Rrs_443) and is produced by NASA's Earthdata platform. It serves as a foundational observable for retrieving oceanographic products.
Remote sensing reflectance (Rrs) data from the Suomi-NPP satellite provides the foundational observable for ocean color analysis. Variables named by band center (e.g., Rrs_412, Rrs_443) support retrieval of products like chlorophyll-a concentration and water clarity. Users must review per-file quality flags for land, cloud, and sun glint, especially in optically complex coastal waters.
Remote sensing reflectance (Rrs) data from the Suomi-NPP VIIRS satellite instrument, version 2022.0. Variables are named by their band center wavelength (e.g., Rrs_412, Rrs_443). The data likely supports algorithm development, validation, and water-quality applications.
Remote-sensing reflectance (RRS) data from the Sentinel-3B satellite's Ocean and Land Colour Instrument (OLCI) provides the foundational observable for retrieving ocean color products. This Level-3 global mapped product, version 2022.0, is distributed by NASA's Earthdata platform and informed by the U.S. Government's Satellite Needs Working Group. Variables are named by their band center wavelength, such as Rrs_412 and Rrs_443.
Remote sensing reflectance (RRS) data from the Sentinel-3B satellite's Ocean and Land Colour Instrument (OLCI). The data provides the ratio of water-leaving radiance to downwelling irradiance, measured at specific wavelength bands. This version 2022.0 dataset is a Level-3 global binned product, likely aggregated over time and space, and was informed by the U.S. Government's Satellite Needs Working Group.
Version 2022.0 of the Sentinel-3A OLCI Level-3 dataset provides global mapped remote sensing reflectance (RRS) data. The RRS suite, produced by OB_CLOUD, measures the ratio of water-leaving radiance to downwelling irradiance and serves as a foundational observable for retrieving oceanographic products.
Remote sensing reflectance data from the Sentinel-3A Ocean and Land Colour Instrument provides the ratio of water-leaving radiance to downwelling irradiance just above the surface. The data is binned globally at reduced resolution and is version 2022.0. This activity was informed by the Satellite Needs Working Group, an interagency effort of the U.S. Government.
Sentinel-1C Level 0 products consist of compressed and unprocessed instrument source packets from the Sentinel-1C satellite launched December 5, 2024. The products include noise, calibration, echo packets, orbit, and attitude information, compressed using Flexible Dynamic Block Adaptive Quantization (FDBAQ). The Alaska Satellite Facility Distributed Active Archive Center (ASF) creates ISO-compliant XML metadata from the associated Sentinel-1C SAFE format product.
Sentinel-1C satellite data, launched December 5, 2024, provides C-band synthetic aperture radar (SAR) imaging globally. Level 0 products are compressed, unprocessed instrument source packets, including noise, calibration, echo packets, and orbit information. These products are the raw basis for higher-level processing and are mirrored from the Copernicus Data Space Ecosystem.
Sentinel-1A Level 0 products consist of compressed, unprocessed C-band synthetic aperture radar instrument source packets with auxiliary information. The collection contains ISO-compliant XML metadata files generated by the Alaska Satellite Facility from the associated Sentinel-1A SAFE format products. The satellite was launched on April 3, 2014, and provides dual polarization capability with imaging resolutions down to 5 meters and coverage up to 400 kilometers.
Sentinel-1A Level 0 products are the unprocessed, compressed instrument source packets from the first satellite in the Sentinel-1 constellation, launched on April 3, 2014. The data includes noise, calibration, echo packets, and orbit information, forming the basis for all higher-level synthetic aperture radar products. This collection mirrors the data provided through the Copernicus Data Space Ecosystem.
Continuous 15-minute interval measurements of temperature, salinity, water level, and specific conductance for 7 sites. The data is collected by the U.S. Geological Survey in collaboration with Everglades National Park, the U.S. Army Corps of Engineers, and the South Florida Water Management District. It supports a study measuring flows into Northeastern Florida Bay to assess ecosystem impacts.
CEOS_EXTRA provides a dataset documenting the historical and recent range expansion of the pileated woodpecker (Dryocopus pileatus) in North Dakota. The data synthesizes natural history writings and sightings from the 1800s to the late 1900s, supporting evidence of population establishment in areas like the Turtle Mountains and Sheyenne River. The dataset's purpose is to present information confirming the species' westward movement.
Global satellite data provides remote-sensing reflectance (RRS) across multiple spectral bands, which is the fundamental observable for deriving ocean color products. The dataset, produced by the OB_CLOUD organization for NASA's PACE mission, supports water-quality and ecosystem applications. Specific temporal coverage and volume details are not provided in the input.
PACE OCI Level-3 Global Binned Remote-Sensing Reflectance (RRS) Data provides the foundational observable for retrieving ocean color products. The dataset contains remote sensing reflectance (Rrs) values at specific wavelength bands, such as Rrs_412 and Rrs_443, measured in units of sr⁻¹. It is produced by the OB_CLOUD organization and is version 3.1 of the data product.
South Western Australia's marine planning area is the focus of this geological literature review and synthesis. The record provides fundamental baseline scientific information compiled by Geoscience Australia. It was last updated on March 25, 2026.
NOAA-21 VIIRS satellite data provides global mapped remote sensing reflectance (RRS) values, the foundational observable for ocean color products. The dataset, version 2025.0, is produced by the OB_CLOUD organization. It is used for retrieving chlorophyll-a concentration, diffuse attenuation coefficients, and inherent optical properties.