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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,004 datasets
Lidar wind measurements were collected by the Doppler Aerosol WiNd (DAWN) instrument aboard a NASA DC-8 aircraft during the Genesis and Rapid Intensification Processes (GRIP) field campaign. The dataset includes Line-of-Sight winds, vertical profiles of horizontal wind velocity, and frequency-domain signal energy, mapped against time, latitude, and longitude. NASA's Global Hydrology Resource Center Distributed Active Archive Center (GHRC DAAC) provides this data from the campaign conducted over the Atlantic Ocean.
G-LiHT's Hyperspectral Reflectance data product provides high-resolution reflectance data across 114 spectral ranges from 418 to 920 nanometers. The data is collected by NASA's airborne imaging system at a nominal height of 335 meters above ground level, covering forest communities and ecoregions in North America, including the Conterminous United States, Alaska, Puerto Rico, and Mexico. The data is processed as a 1-meter spatial resolution raster product.
G-LiHT Hyperspectral Radiance V001 is an airborne imaging dataset from NASA's Goddard LiDAR, Hyperspectral, and Thermal Imager mission. It provides high-resolution radiance data across 114 spectral bands from 418 to 920 nanometers, processed as 1-meter resolution GeoTIFF rasters. The data focuses on mapping forest communities and ecoregions across North America.
Multi-sensor remote sensing data captures landscape conditions before and after the 2013 Rim and 2014 King mega forest fires in California's Sierra Nevada. The dataset includes high-resolution surface reflectance, thermal imagery, burn severity metrics, and LiDAR-derived structural measures. Data is provided by ORNL_CLOUD and spans from 2010 to 2015.
United States atmospheric data from the 2017 ACEPOL campaign collected by the High Spectral Resolution Lidar 2 (HSRL-2) onboard a NASA ER-2 aircraft. The dataset provides active lidar measurements of aerosol and cloud properties to support climate and air quality research. It was jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON).
Mountainous terrain is monitored using automated dock-based UAV systems for geohazard analysis. The dataset includes code and animations for displacement analysis, with collected UAV data available upon request. It was authored by Alexander Maschler and last updated on July 5, 2026.
A compilation of information asset records from national and territorial entities in Colombia, registered through a national tool created to consolidate national assets. The dataset includes metadata such as creation date, update frequency, data format, and legal basis for each asset. It is published by www.datos.gov.co and was last updated on 2026-05-18.
NASA's Atmospheric Carbon and Transport (ACT-America) project provides Level 1 differential absorption optical depth (DAOD) measurements from the Multi-Functional Fiber Laser Lidar (MFLL) aboard a C-130 Hercules aircraft. The dataset captures column CO2 number density at a 0.1-second frequency across four seasonal campaigns from Summer 2016 to Spring 2018 over central and eastern U.S. regions. Data includes interpolated aircraft flight information such as latitude, longitude, altitude, and attitude.
CAMEX-4 Aerosonde data contains temperature, humidity, and atmospheric pressure measurements collected by an unmanned aerial vehicle to study the boundary layer below traditional hurricane reconnaissance altitudes. The Aerosonde UAV, with a 2.9-meter wingspan and 14 kg weight, collected this data by flying at altitudes from near the surface to 21,000 feet for up to 30 hours. NASA produced this dataset during the CAMEX-4 campaign, with metadata updates noted as recently as 2026.
This dataset provides modeled estimates of aboveground biomass for land cover types within World Wildlife Fund ecoregions across the boreal forests of Alaska and Canada. The estimates are derived from a two-stage modeling process linking ground measurements to airborne Portable Airborne Laser System (PALS) LiDAR, and then to spaceborne Geoscience Laser Altimeter System (GLAS) LiDAR data from NASA's ICESat satellite. Data synthesis primarily uses remote sensing data from June 2005 and 2006, with supporting airborne and land cover data spanning 1999 to 2009.
A performance comparison of different 3D object detection methods evaluated on the NuScenes dataset. The dataset was authored by Nan Zhang and last updated on June 1, 2026. It is a small, 5.5 KB Excel file containing aggregated benchmark results.
5.5 KB of tabular data in XLS format compares the performance of different 3D object detection methods on the KITTI dataset. The dataset was authored by Nan Zhang and last updated on June 1, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
5.5 KB of tabular results from an ablation study of an improved PointNet model, authored by Nan Zhang and shared under a CC-BY-4.0 license. The dataset was last updated on June 1, 2026, and is hosted on figshare.
A 5.5 KB Excel file compares the parameter counts and FLOPs between SVTRv2 and SVTRv2X model variants. Jian Guo authored this dataset, which was last updated on June 1, 2026. The specific row count and detailed column definitions are not provided in the metadata.
From April 1, 2015 to the present, this dataset provides monthly averaged, globally gridded sea surface salinity measurements from NASA's Soil Moisture Active Passive (SMAP) satellite. The Version 5.0 product, produced by Remote Sensing Systems, introduces formal uncertainty estimates and improved sea-ice correction using direct AMSR-2 brightness temperature data. It offers two spatial resolution products, with the default 70km data recommended for open ocean applications due to lower noise.
A LIDAR Composite Digital Surface Model (DSM) provides raster elevation data for over 93% of England at a 2-meter spatial resolution. Produced by the Environment Agency in 2020, it merges data from the Time Stamped archive and National LIDAR Programme, with surveys conducted between June 2000 and September 2020. The DSM includes heights of objects like buildings and vegetation, has a vertical accuracy of +/-15cm RMSE, and is referenced to the Ordnance Survey Newlyn datum.
A raster elevation model covering over 93% of England at a 2-meter spatial resolution. Produced by the Environment Agency in 2020, it combines data from the Time Stamped archive and National LIDAR Programme, with surveys conducted between June 2000 and September 2020. The Digital Terrain Model (DTM) is derived from processed LIDAR signals to represent the bare earth surface, with a vertical accuracy of +/-15cm RMSE.
Over 85% of England is covered by this 10-meter resolution Digital Terrain Model derived from Environment Agency LIDAR surveys. The composite raster merges data from the Time Stamped archive and National LIDAR Programme, using the newest, best resolution surveys available between March 1998 and September 2019. This retired dataset, produced by the Environment Agency, presents elevation in meters referenced to the Ordnance Survey Newlyn datum.
England's terrain is modeled at 1-meter spatial resolution, covering over 80% of the country. The Environment Agency produced this 2019 Digital Terrain Model by merging and re-sampling LIDAR surveys from June 2000 to September 2019. Data is available as GeoTiff files in 5km grids with a vertical accuracy of +/-15cm RMSE.
Over 88% of England is covered by this 1-meter resolution Digital Terrain Model produced by the Environment Agency in 2020. It is derived from a composite of LIDAR surveys conducted between June 2000 and September 2020, with a vertical accuracy of +/-15cm RMSE. The data is available as GeoTiff files in 5km grids, with surface objects removed to represent the bare earth terrain.