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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,692 datasets
1991 data from the FIRE Cirrus 2 field experiment contains altitude versus time images of cirrus clouds. The dataset was created by the LARC_ASDC organization using a Volume Imaging Lidar instrument. Images were sampled at 5 km intervals during cross-wind scans at Coffeyville, Kansas.
July 1987 data from the First ISCCP Regional Experiment (FIRE) Marine Stratocumulus campaign. The dataset contains cloud top height and ground height calculations from the NASA ER-2 Cloud Lidar System (CLS), collected off the southwestern coast of California. It was produced by NASA's Langley Research Center Atmospheric Science Data Center (LARC_ASDC).
Data for year 2019, produced by departmental directorates of the territories in January 2020, describes the communal composition by SCOT (Territorial Coherence Scheme) and the status of procedures under development, revision, or approved. The vintage dataset is typically produced in March after a verification process for completeness and consistency. The dataset is associated with the SRU Law of 13/12/2000, which established SCOTs to replace master plans.
Municipal-level data describes the development or revision status of Local Intercommunal Urban Plans (PLUi) serving Territorial Coherence Schemes (SCOT) in French metropoles. The dataset is produced annually by departmental directorates of the territories, with the 2019 vintage decided on 31 December 2019 and verified by March 2020. It originates from the Bureau de Recherches Géologiques et Minières (BRGM) and is governed by the SRU Law of 2000, which mandates these plans for urban development coordination.
1044 samples of text prompts, conditioning images, and binary question-answer pairs comprise this benchmark for measuring world model progress. It covers target domains like autonomous vehicle driving, robotics, smart spaces, physics, and human common sense. The dataset was created by NVIDIA and last updated in June 2025.
2020 LiDAR data consists of processed, classified LAS 1.4 files covering the District of Columbia. The dataset features USGS Quality Level 2 specifications and contains voids due to data redaction guided by the United States Secret Service. It is provided as an ArcGIS Image service with point cloud files available for download.
STAQS_Drone_Data provides PM2.5 particulate matter measurements collected by a BlueHalo E900 UAV during the NASA STAQS mission in summer 2023. The mission integrates drone and aircraft data with TEMPO satellite observations to improve air quality science understanding. Data collection for this product is complete, as reported by NASA's Earthdata platform.
CALIPSO Lidar Level 2 5 km Merged Layer data provides profiles of atmospheric cloud and aerosol layers. The dataset is produced by NASA and the French CNES from the CALIOP instrument aboard the CALIPSO satellite, launched in 2006. Data collection spans from June 2006 to at least September 2018, with the product last updated in 2023.
CALIPSO satellite data provides vertical profiles of aerosol layers in the Earth's atmosphere, collected by the CALIOP lidar instrument. This dataset is a version 4-51 product processed by NASA's LARC ASDC and CNES, with continuous global coverage from the satellite's launch in April 2006. The data includes column descriptors for location and viewing geometry, as well as layer descriptors for identified atmospheric features.
Oceanographic and meteorological data were collected by the Saildrone 1021 unmanned surface vehicle during a near-real-time mission in the North Atlantic Ocean. NOAA NCEI archives the dataset, which captures a 28-day period from January 30 to February 26, 2019. The mission aimed to repeatedly sample cross-current gradients in the Gulf Stream before ending prematurely due to storm damage.
CALIPSO satellite data provides merged cloud and aerosol layer profiles at a 333-meter vertical resolution. The dataset is produced by NASA and the French space agency CNES from the CALIOP instrument, with continuous global observations starting in 2006. Version 4-51 data was last updated in mid-2023.
CALIPSO Lidar Level 2 5 km Cloud Layer Data contains atmospheric column and layer properties measured by the CALIOP instrument. The dataset is produced by NASA and the French CNES, with primary data collection from June 2006 to at least September 2018. It provides a global record of cloud layers and their characteristics.
STAQS_AircraftRemoteSensing_NASA-G3_HALO_Data is remotely sensed trace gas data collected by the High Altitude Lidar Observatory (HALO) instrument on a NASA Gulfstream III aircraft. The data collection was part of the Synergistic TEMPO Air Quality Science (STAQS) mission conducted during summer 2023, targeting urban areas including Los Angeles, New York City, and Chicago. The mission integrated aircraft observations with NASA's TEMPO satellite to improve understanding of air quality science.
Cloud layer data from the CALIPSO satellite's CALIOP lidar instrument, providing column and layer properties for atmospheric columns. The dataset is produced by NASA and the French CNES from the mission launched in 2006. Version 4-51 data includes observations from the satellite's time in the A-Train constellation (2006-2018) and subsequent C-Train operations.
10 LiDAR locations along a transect in the Gotthard wind park provide wind speed, wind direction, turbulence, temperature, pressure, and humidity data from the summer of 2023. The data is quality controlled and annotated according to CF-1.8 data principles. The collection methods are detailed in an article under review titled 'Resolving three-dimensional wind velocity fields with sequential wind-Doppler LiDAR for wind energy in the complex terrain - Gotthard Pass, Switzerland'.
High Spectral Resolution Lidar (HSRL) remotely sensed trace gas data collected by the NASA DC-8 aircraft during the SAGE III Ozone Loss and Validation Experiment (SOLVE). The campaign was a NASA multi-program effort with 28 total flights, and this data product is from the first phase in the Arctic during the winter of 1999-2000. Data collection for this product is complete.
DEVOTE UC-12 Aircraft HSRL Data contains remotely sensed measurements of aerosols and cloud properties collected by the High Spectral Resolution Lidar instrument. The dataset was created by the NASA Langley Research Center Atmospheric Science Data Center from eleven science flights conducted in September and October 2011. Data collection is complete and was used for validating satellite retrieval algorithms from missions like CALIPSO and ACE.
Doppler Aerosol WiNd lidar data was collected during the Convective Processes Experiment - Aerosols & Winds campaign onboard a NASA DC-8 aircraft. The dataset includes image and NetCDF files for calibration of the ESA Aeolus satellite and study of tropical atmospheric dynamics. NASA's Langley Research Center Atmospheric Science Data Center archives the data, with collection completed by 2021.
September 2022 data from the Convective Processes Experiment - Cabo Verde (CPEX-CV) campaign, collected by NASA's DC-8 aircraft. The dataset contains Doppler Aerosol WiNd lidar (DAWN) image and NetCDF files measuring tropospheric aerosols and winds. It was produced by the LARC_ASDC organization to study atmospheric dynamics and convection in the tropical East Atlantic.
SOLVE II DC-8 Aircraft Remotely Sensed Lidar Data contains trace gas measurements collected by Differential Absorption Lidar (DIAL) and the Airborne Raman Ozone, Temperature, and Aerosol Lidar (AROTAL) aboard a NASA DC-8 aircraft during the winter of 2003. The dataset was produced by NASA's Upper Atmosphere Research Program and Atmospheric Chemistry Modeling and Analysis Program as part of the SAGE III Ozone Loss and Validation Experiment II (SOLVE II) campaign. The campaign's primary objective was to calibrate and validate satellite measurements and examine processes controlling ozone levels in the mid-to-high Arctic latitudes.