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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,016 datasets
March 25, 2015 to October 29, 2017 is the temporal coverage for this dataset. It contains vertical profiles of atmospheric aerosols and clouds derived from lidar measurements taken by the Cloud-Aerosol Transport System instrument on the International Space Station. The data is produced by the National Aeronautics and Space Administration and provides profiles at three wavelengths with a 60m vertical and 5km horizontal resolution.
NASA's Cloud-Aerosol Transport System (CATS) instrument on the International Space Station collected vertical profile measurements of clouds and aerosols from March 25, 2015 to October 29, 2017. The lidar instrument operated at three wavelengths, orbiting between approximately 230 and 270 miles above Earth's surface with a 51-degree inclination. This Level 2 Operational data product provides geophysical parameters at 60-meter vertical and 5-kilometer horizontal resolution.
Vertical profiles of atmospheric aerosols and clouds collected by the Cloud-Aerosol Transport System (CATS) lidar instrument on the International Space Station from February 12, 2015 to February 13, 2015. The data, produced by NASA, provides range-resolved measurements at three wavelengths with a 60-meter vertical and 5-kilometer horizontal resolution. CATS operated at an altitude between approximately 230 and 270 miles with a 51-degree orbital inclination.
An infrared dataset focused on airborne objects, likely collected by a UAV Dependability Lab. The dataset is hosted on Kaggle, but specific details on size, format, and collection date are not provided in the metadata. Its content may include imagery or sensor data for analyzing objects detected from aerial platforms.
A dataset for detecting drones, likely containing images or video frames with annotations for multiple object classes. It is hosted on Kaggle, a platform for data science competitions and projects. The specific source, collection method, and temporal coverage are not detailed in the provided metadata.
Drone sightings, incursions, and strikes that halted airport operations worldwide from 2025 to 2026. The dataset likely contains records of events causing operational disruptions. It was sourced from Kaggle, but the original author and organization are unknown.
Niihau, Hawaii, is covered by this raster topobathy dataset in GeoTIFF format. The data were created from ground and bathymetric lidar point values collected by Woolpert using a Leica Hawkeye4X system. Data acquisition occurred from September 8, 2021, through September 26, 2021.
Lidar data collected between October 2022 and December 2023 in 120 missions by NV5 for NOAA. The processed data were transformed to geoidal heights and used to create 1-meter resolution topobathymetric digital elevation models (DEMs) in Cloud Optimized GeoTIFF format. The dataset covers coastal Maine and was produced by the National Oceanic and Atmospheric Administration.
Raster topobathy data for two Hawaiian islands, created from ground and bathymetric lidar point values. The data were collected by Woolpert using a Leica Hawkeye4X system from February 7, 2021 through July 27, 2023. It is provided by the National Oceanic and Atmospheric Administration's National Geodetic Survey.
Louisiana coastal elevation and seafloor data collected by the NOAA National Geodetic Survey using airborne lidar. The dataset includes raster topobathy data derived from ground, bathymetric point, and submerged object lidar point values. Data acquisition occurred between October 4 and October 21, 2022, following Hurricane Ida.
U.S. Atlantic Coast snowstorms from 2020 to 2022 were studied using the Cloud Physics LiDAR onboard a NASA ER-2 aircraft. The dataset includes backscatter coefficient, depolarization ratio, layer heights, and derived products like ice water content. NASA collected this data during the IMPACTS field campaign to improve snowfall prediction.
UAV-ON is a dataset published on Kaggle. The title suggests it contains data related to Unmanned Aerial Vehicles, likely for computer vision tasks such as object detection. The dataset's specific content, scale, and origin require verification after download.
A sample of infrared imagery data collected from an unmanned aerial vehicle (UAV). The dataset is hosted on Kaggle, but its full scope, creation details, and update history are unspecified. The available metadata is minimal, describing only a 10% sample of a larger collection.
RFUAV_Augmentation is a dataset published on Kaggle. Its title suggests a focus on data augmentation techniques for robotics and computer vision applications involving Unmanned Aerial Vehicles (UAVs). The dataset's specific content, size, and authorship are not detailed in the available metadata.
Kaggle hosts a LiDAR dataset, though its specific content and scope are unspecified. The dataset's author, organization, and temporal coverage are unknown. Its size, format, and row count are also not provided in the metadata.
114 spectral ranges of high-resolution reflectance data from 418 to 920 nanometers, collected by the Goddard LiDAR, Hyperspectral, and Thermal Imager airborne system. The data product provides surface reflectance approximations at 1-meter spatial resolution over forested areas in North America. It is processed by the LPCLOUD organization.
G-LiHT's airborne imaging system provides high-resolution radiance data across 114 spectral bands from 418 to 920 nanometers. Data is collected at 1-meter spatial resolution from a nominal flying height of 335 meters above ground level over forest communities in the Conterminous United States, Alaska, Puerto Rico, and Mexico. The data product is processed by NASA's LPCLOUD.
LiDAR point clouds with ground-truth biomass labels for wheat and triticale plots. The dataset was collected in Yanco during 2019. It is hosted on the Kaggle platform.
Aboveground biomass estimates for areas in the Great Slave Lake Region of Canada's Northwest Territories for 2019. The data was derived from L-band synthetic aperture radar (SAR) data from JAXA's ALOS-2 satellite and NASA's UAVSAR instrument, calibrated with in situ measurements from 14 plots. Estimates are provided in 20-Mg ha-1 bins at 100-meter resolution in cloud optimized GeoTIFF format.
HALO instrument data sampled at 0.5-second and 1.25-meter vertical resolutions during airborne campaigns over North America. This dataset from NASA's 2019 ACT-America campaign includes profiles of aerosol optical properties, mixed layer heights, and tropospheric methane columns. Measurements were collected from a C-130 aircraft operating out of three bases in the central and eastern United States.