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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,692 datasets
125-meter resolution radiance and bidirectional reflectance measurements are provided across a central 5 km swath, with no spatial interpolation applied. This Level 1B data product was produced by the joint NASA and French CNES CALIPSO mission, with collection completed and a final version released in November 2011. The Wide Field Camera acquired science data exclusively during daylight portions of the satellite's orbit.
CALIPSO Wide Field Camera Level 1B data provides calibrated radiance and bidirectional reflectance measurements on a 1 km Earth-based grid. The dataset is produced by NASA and the French CNES from the CALIPSO satellite, launched in 2006 and part of the A-Train constellation. Data collection is ongoing, with this validated Stage 1 version representing a processing system transition.
RTI International generated 2,611 labeled point locations across Rwanda's agroecological zones. This dataset provides labels for three crop types (Banana, Maize, Legume) and other land cover, with corresponding 4.5m x 4.5m image chips from three time periods in late 2018 and early 2019. It was used in research documented by Chew et al. in 2020.
Lidar data from 11 NASA ER-2 aircraft flights captured detailed vertical profiles of wildfire plumes during the 2019 FIREX-AQ campaign. The Cloud Physics Lidar instrument provided critical fire information, including plume heights and aerosol properties. This dataset was produced by the NASA Langley Research Center Atmospheric Science Data Center (LARC_ASDC) from the completed 2019 field study.
2003 to 2014 survey data, supplemented in 2018, provides multibeam bathymetry, acoustic backscatter, and LiDAR reflectance for Long Island Sound. The dataset consists of processed 32-bit GeoTIFF rasters representing water depth and seafloor acoustic intensity. It was collected by NOAA ships and partners, integrated by SUNY Stony Brook SoMAS, and published by NOAA NCEI.
Lidar Atmospheric Sensing Experiment (LASE) data from the 1998 Convection and Moisture Experiment (CAMEX-3) campaign. The dataset contains airborne DIAL system measurements of water vapor and aerosol profiles. It was collected by NASA's LARC_ASDC organization during the study of Hurricanes Bonnie, Danielle, Earl, and Georges.
HSRL measurements were collected aboard a NASA DC-8 aircraft during 23 science flights in summer 2019. The data capture aerosol microphysical, optical, and chemical properties within wildfire plumes. This product is part of the NOAA/NASA FIREX-AQ campaign to study fire emissions and air quality impacts.
Drone-collected imagery and derived terrain models characterize Adelie penguin nesting habitats at Cape Crozier, Ross Island, Antarctica. Data supports testing hypotheses on terrain characteristics, nest density, and breeding success. The project was developed by AMD_USAPDC, with the last documented update in May 2022.
From July 5 to August 3, 2017 and June 6 to July 6, 2018, this dataset contains in-situ measurements of ozone, nitrogen dioxide, meteorology, and ship navigation data collected aboard the Smithsonian Environmental Research Center vessel during the OWLETS and OWLETS-2 field campaigns. The campaigns, supported by NASA's Science Innovation Fund, focused on characterizing pollutant gradients across the land-water interface of the Chesapeake Bay. Data collection is complete and was managed by the LARC_ASDC organization.
Lidar In-Space Technology Experiment (LITE) L1 data contain vertical profile measurements collected by a three-wavelength lidar aboard the space shuttle Discovery during the STS-64 mission in September 1994. NASA's LARC_ASDC processed the high-rate telemetry to create geolocated profiles of clouds, aerosols, and atmospheric properties. The dataset covers the mission period from September 9 to September 20, 1994.
Continuous data collection from 2006 to present provides calibrated, geolocated, and cloud-cleared profiles of lidar attenuated backscatter. The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission, a joint NASA and CNES project, produces this Level 1.5 data product. Profiles are synthesized from Level 1B and Level 2 data products, including the Vertical Feature Mask.
Hemispherical photographs and a canopy height model from LiDAR cover 13 experimental plots across spruce and pine forests in Switzerland and Finland. The dataset was created by researchers from ENVIDAT to serve as input for the FSM2 forest snow model, with associated publications from 2020 and 2021. Data includes a detailed canopy height map for a 150,000 m2 simulation domain at the Laret site.
1989 to 1993 data from the CEDAR database contains lidar measurements of photocounts, relative neutral number density, and sodium or iron density. The dataset was collected by University of Illinois and Colorado State University lidar systems at locations including Arecibo, Hawaii, Urbana, and Fort Collins. It is maintained by the National Center for Atmospheric Research (NCAR) High Altitude Observatory (HAO).
CALIPSO Lidar Level 1.5 Profile data provides calibrated, geolocated, and cloud-cleared profiles of attenuated backscatter for atmospheric study. The product synthesizes Level 1B and Level 2 data products, including the Vertical Feature Mask. It was produced by NASA and the French CNES from the CALIOP instrument on the CALIPSO satellite, launched in 2006, with data collection now complete.
TRACE-A_AircraftRemoteSensing_DC8_DIAL_Data is Differential Absorption Lidar (DIAL) data collected onboard a NASA DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) campaign. The mission was conducted from September 21 to October 24, 1992, as part of NASA's Global Tropospheric Experiment, with the objective of determining the source of high ozone concentrations over the Atlantic Ocean. The DC-8 was equipped with 19 instruments, including the DIAL which measured ozone, aerosols, and ozone column, alongside other instruments measuring gases like CO2, CH4, and N2O.
September 2020 data on Territorial Coherence Schemes (SCOT) in the French department of Eure-et-Loir. These legal documents, mandated by the SRU Law of 2000, replace master plans and express regional strategies for housing, natural-urban balance, infrastructure, and commercial development. The layer was updated by DDT28/SCTP/BSIG and is provided as a WMS service.
Map Viewing Service data details the public institutions for inter-municipal cooperation (EPCI) in Southern Corsica for 2017. The dataset was published by the Bureau de Recherches Géologiques et Minières and last updated in April 2019. It distinguishes between EPCIs with and without their own taxation powers, covering categories like Urban Communities and Communities of Communes.
UAVScenes is a large-scale dataset introduced for ICCV 2025 to benchmark tasks across 2D and 3D modalities. It is built upon the MARS-LVIG dataset and enhanced with manually labeled semantic annotations for images and LiDAR point clouds. The dataset was uploaded to Hugging Face by user sijieaaa on August 6, 2025.
A quantitative study of worker reproduction in queenright colonies of the Cape honey bee Apis mellifera capensis, conducted by Madeleine Beekman. Microsatellite analyses of pre-emergent brood show that workers produced 10.2% of new workers and 0.48% of drones. The data was published in 2020.
A collection of recordings from over 300 cerebellar neurons in awake mice performing an active locomotion task. It characterizes cell activity in relation to stepping cycle phase, locomotion speed, and yaw movements. The data was collected using high-density silicon electrode arrays to investigate sensorimotor integration in the cerebellar vermis.