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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,694 datasets
Lidar vertical profiles of atmospheric aerosols and clouds collected by the Cloud-Aerosol Transport System instrument on the International Space Station. The dataset provides measurements at three wavelengths from March 25, 2015, to October 29, 2017, with a 60-meter vertical and 5-kilometer horizontal resolution. It was produced by NASA's LARC ASDC to enable the study of diurnal changes in cloud and aerosol effects from space.
439 calendar years of tree ring data from Pakistan, Southcentral Asia, provide parameters for paleoclimate reconstruction. The dataset is archived by NOAA's National Centers for Environmental Information under the World Data Service for Paleoclimatology. This study was last updated in 2006.
Snow water equivalent (SWE) values on a 50-meter resolution UTM grid, derived from airborne lidar snow depth surveys and modeled snow density. The data were collected by the NASA/JPL Airborne Snow Observatory (ASO) aircraft survey campaigns. The dataset was last updated in July 2019.
Depolarization lidar measurements from a specialized CAPABL system deployed at Summit Station, Greenland. The dataset includes parameters like parallel channel backscatter, depolarization ratio, and diattenuation, collected by NOAA's Earth System Research Laboratory with NSF support. Data files were last updated in 2020.
A benchmark dataset compares the performance of five laser scanning systems and a low-cost action camera for tree detection in a mixed temperate forest. The data was collected by ENVIDAT and published via NASA's Earthdata platform in 2023. It evaluates devices across three forest plots with varying tree and understorey vegetation density.
Video recordings from 1983 document Antarctic fish behavior in a temperature gradient ranging from -1.8°C to +5.4°C. The data includes observations of swimming, pectoral fin movements, and prey detection and feeding for species including the giant Antarctic cod. The dataset was collected by SCIOPS at the McMurdo aquarium.
Two drone surveys on 16 April 2021 and 28 May 2021 captured snow depth and distribution data over the Schürlialp area. The dataset includes a 10cm digital surface model, a 10cm snow depth raster, a 3mm orthophoto, and original drone images, processed with Agisoft Metashape. Data is hosted by ENVIDAT and was last updated in 2022.
A collection of orthorectified images processed from NASA IceBridge DMS L0 stereo imagery. The images were created by the NASA Ames Stereo Pipeline, integrating data from the LVIS and ATM lidar systems. The data set was published by the NSIDC and last updated in July 2017.
NOAA/WDS Paleoclimatology archives fire history data from the La Marchanita site in New Mexico, derived from tree-ring analysis. The dataset covers a period from 608 to 41 calendar years before present (BP). It was published by the NOAA National Centers for Environmental Information and last updated in 1991.
Aircraft pitch, roll, yaw, engine speed, tail commands, and fuel levels were recorded by the Altus II Unmanned Aerial Vehicle during a 2002 thunderstorm electrification study. The dataset contains mechanical and flight data files collected from July 10 through August 30, 2002. It was produced by the Global Hydrology Resource Center Distributed Active Archive Center (GHRC_DAAC) for NASA's Altus Cumulus Electrification Study (ACES).
A 2017 collection of digital elevation models (DEMs) created by the NSIDC_CPRD using the NASA Ames Stereo Pipeline. The DEMs were generated by processing stereo images from the IceBridge DMS L0 Raw Imagery dataset, fused with lidar data from the LVIS and ATM instruments.
Imagery of Casey and Wilkes was captured by a Sensefly eBee drone on 19 and 20 December 2015, flying at approximately 120 metres above ground level. A mosaic and Digital Surface Model (DSM) of each area was created from the imagery using Pix4D software. The flights were conducted as a demonstration to test capability, and the data should not be used for anything other than a demonstration.
The dataset contains orthomosaics generated from images captured during the XXXIV Spanish Antarctic Campaign. It was produced by the organization SCIOPS using sensors aboard UAVs across 42 flights over seven specific areas of Deception Island. The data was last updated in February 2021.
Micropulse lidar measurements from Summit Station, Greenland, capture vertical profiles of atmospheric backscatter in parallel and depolarized polarization channels. The dataset is provided by the SCIOPS organization and was last updated in December 2020. The instrument is owned by the Department of Energy's Atmospheric Radiation Measurement program and operated with support from the National Science Foundation's Arctic Observing Network.
822 calendar years of fire history data, from 822 to -33 years before present, are reconstructed from paleolimnological sediment cores at Rainbow Lake A in Alberta, Canada. This fire history dataset is archived by the NOAA National Centers for Environmental Information World Data Service for Paleoclimatology. The associated study type is Fire and the data were last updated in the system in 1983.
April 2016 to March 2018 raw signal returns from the AAD POLAR lidar, capturing co-polarisation and cross-polarisation channels. The data was collected by the Australian Antarctic Data Centre (AU_AADC) and has a vertical resolution of 30 meters and a temporal resolution of 10 seconds. These measurements are provided without range, overlap, calibration, or background corrections.
2016 wind measurements from a Doppler wind lidar installed at the DASAN station in Ny-Ålesund, Svalbard. The dataset likely contains vertical profiles of wind up to 3 kilometers, acquired on a continuous basis, and includes horizontal and vertical cross-sections from PPI and RHI observation modes. It was collected by AMD_KOPRI to study interactions between Arctic clouds and the boundary layer wind.
Summer 2012 LIDAR data captures aerosol back-scattering intensity and depolarization ratio with altitude up to 10 km over the Chukchi Sea. Measurements characterize aerosol profiles and shape, evaluating variation in the atmospheric boundary layer. The dataset was collected by AMD_KOPRI and published via NASA EarthData in September 2012.
2018 data from a Doppler wind lidar operating near Ny-Ålesund, Svalbard, providing continuous vertical profiles of wind up to 1.5 km altitude. The dataset, collected by AMD_KOPRI, includes horizontal and vertical cross-sections of the wind field using PPI and RHI observation modes. It was created to study the structure of the Arctic boundary layer and cloud-boundary layer interactions.
Doppler wind lidar data provides vertical wind profiles up to 3 km altitude from the DASAN Station in Ny-Ålesund, Svalbard. The dataset was collected throughout 2017 by the AMD_KOPRI organization to study interactions between Arctic clouds and the boundary layer. Observations include continuous vertical profiles and cross-sectional scans via PPI and RHI modes.