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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,694 datasets
March 25, 2015 to October 29, 2017 is the coverage period for this dataset. It contains Level 2 Operational Night Mode geophysical parameters derived from Cloud-Aerosol Transport System (CATS) lidar instrument measurements aboard the International Space Station. The data provides vertical profiles of aerosols and clouds at three wavelengths with 60m vertical and 5km horizontal resolution.
CATS lidar data captured the first diurnal cycle observations of clouds and aerosols from the International Space Station. This Level 2 Operational product provides vertical profiles at three wavelengths with 60-meter vertical and 5-kilometer horizontal resolution. The collection was created by NASA's LARC_ASDC and covers a specific operational period from February 10 to March 21, 2015.
CATS-ISS Level 2 Operational Day Mode 7.2 Version 3-00 5 km Layer is a lidar remote sensing data product from the Cloud-Aerosol Transport System instrument on the International Space Station. It provides vertical profiles of atmospheric aerosols and clouds at three wavelengths, with a 60m vertical and 5km horizontal resolution. The collection spans from March 25, 2015 to October 29, 2017.
CATS-ISS_L2O_D-M7.2-V3-01_05kmLay provides vertical profiles of atmospheric aerosols and clouds at 60-meter vertical and 5-kilometer horizontal resolution. This Level 2 Operational data product was collected by the Cloud-Aerosol Transport System (CATS) lidar instrument aboard the International Space Station. The collection spans from March 25, 2015, to October 29, 2017.
February 12-13, 2015 data from the Cloud-Aerosol Transport System (CATS) lidar instrument on the International Space Station. The dataset provides vertical profiles of atmospheric aerosols and clouds at three wavelengths with 60-meter vertical and 5-kilometer horizontal resolution. It was produced by NASA's Langley Research Center Atmospheric Science Data Center (LARC_ASDC).
Ground and aerial measurements of snow and ice properties near Ross Island, Antarctica, were collected to validate satellite radar data. The dataset includes ground-penetrating radar profiles, snow pit analyses, ice coring, stake measurements, and helicopter electromagnetic surveys across the McMurdo Ice Shelf, Ross Island, and McMurdo Sound. The data was compiled by SCIOPS and last updated in November 2009.
LiDAR-derived forest structure variables are used to predict suitable foraging areas for the endangered Greater Mouse-eared Bat (Myotis myotis). The dataset supports a study that sampled bat activity near 18 maternity roosts in Switzerland and applied a generalized linear mixed model (GLMM). The research was published by ENVIDAT and the data was last updated in 2022.
SCIOPS provides LIDAR measurements from two Antarctic stations, McMurdo and Dumont d'Urville, for studying polar stratospheric clouds and ozone depletion. Data collection began in 1989 at DDU and 1993 at MCM, offering long-term observations. The dataset includes retrievals of PSC microphysics, aerosol extinction profiles from 8-35 km, and temperature profiles from 30-60 km.
Drone Audio Detection Samples (DADS) provides between 100,000 and 1,000,000 audio recordings standardized to 16,000 Hz for drone detection research. Created by geronimobasso and last updated in March 2025, it is currently the largest publicly available database of its kind. The collection features mono-channel, 16-bit depth audio segments ranging from 500 milliseconds to several minutes.
Corrèze and tributaries of the Brive Basin in France are covered by this flood risk prevention plan approved on 29/01/2019. The dataset represents areas exposed to one or more hazards, based on a hazard map derived from a 2017 land parcel base and 2009 LIDAR survey. It was published by the Bureau de Recherches Géologiques et Minières and last updated on 2022-01-07.
Erica Fischer's data collection from the DesignSafe Data Depot Repository documents damage to schools and a hospital in Paradise, CA, from the 2018 Camp Fire. The project used drones, LiDAR, and field measurements to evaluate wildfire impact on engineered buildings. Data was last updated on February 10,我们发现了一个错误。
BUREAU DE RECHERCHES GÉOLOGIQUES ET MINIÈRES provides a dataset listing municipalities in the Provence-Alpes-Côte d'Azur region of France subject to the Solidarity and Urban Renewal (SRU) law. The law mandates a minimum percentage of social housing, with strengthened requirements from 2013 and a 25% target by 2025 for qualifying municipalities. The dataset was last updated on June 18, 2019.
135,569 aerial patches of monospecific forests across 449 locations in France provide data for tree species classification. Each 50 m x 50 m patch is annotated with a single tree species label, covering a total area of 339 km². The dataset was created by IGNF and includes aerial lidar and imagery.
Presenting a single log from the NuPlan autonomous driving dataset, converted into the VADv2 training and evaluation format. It contains sensor data including camera images and fused LiDAR point clouds, alongside a map bundle and a SQLite database for the mini split.
Ground-penetrating radar survey results from the SnowEx20 campaign at Cameron Pass, Colorado. The data includes two-way travel time, lidar-measured snow depth, and derived snow water equivalent, density, and relative permittivity. It was produced by NSIDC_CPRD and last updated in May 2021.
IceBridge Photon Counting Lidar L1B data contains nadir photon counting measurements over Antarctica, including position and orientation data. The data were collected by the ICECAP project, funded by NSF, NERC, and NASA, with support from Operation IceBridge. The dataset was last updated in December 2012.
NASA's Cloud-Aerosol Transport System (CATS) instrument on the International Space Station collected calibrated lidar profile measurements of atmospheric aerosols and clouds. The dataset covers a 40-day period from February 10 to March 21, 2015. It was produced by the LARC_ASDC organization and provides vertical profiles at three wavelengths from an orbit between approximately 230 and 270 miles above Earth.
SnowEx17 data contains snowpack relative permittivities and densities derived from Ground Penetrating Radar surveys and airborne lidar observations. NSIDC_CPRD published this data set, which covers Grand Mesa, Colorado, between 08 Feb 2017 and 25 Feb 2017. Parameters include two-way travel time, lidar-measured snow depth, calculated snow water equivalent, snow density, and relative permittivity.
CALIPSO Lidar Level 2 Polar Stratospheric Cloud data describes the spatial distribution, optical properties, and composition of PSC layers. The product contains profiles of PSC presence, composition, and optical properties on a 5-km horizontal by 180-m vertical grid along orbit tracks, and includes Aura MLS measurements of HNO3 and H2O vapors. The Version 2 ensemble was produced by LARC_CLOUD and was last updated in March 2021.
Sea Ice Melt Pond Data from the SIZONET project tracks albedo and melt pond coverage evolution during the melt season. Measurements were collected on level first-year sea ice near Barrow, Alaska, along 200m transects or over 100m x 200m areas. The datasets include albedo, LiDAR surface measurements, snow/pond depths, and fractional surface coverage.