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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,692 datasets
LiDAR measurements and photographs were collected in August 2011 to create Digital Elevation Models of tundra vegetation at a research site in Atqasuk, Alaska. The data includes panoramic pictures from a researcher and images from the LiDAR device itself, captured from six positions around the NIMS grid. The dataset was produced by the organization SCIOPS.
Alaska snow pit measurements collected during NASA SnowEx March 2023 Intensive Observation Period. 170 snow pits were excavated across five sites representing boreal forest and Arctic tundra snow conditions near Fairbanks. The data set was collected for calibration and validation with coincident airborne SWESARR and lidar measurements.
ForestReg is the first multi-platform benchmark dataset for Unmanned Aerial Vehicle Laser Scanning (ULS) and Terrestrial Laser Scanning (TLS) point cloud registration in complex forest environments. It was created by lewisciro66 and last updated on June 13, 2025. The dataset aims to address the challenge of integrating ULS and TLS data for a comprehensive 3D understanding of forest structures.
Published at ACM Multimedia 2024 in Melbourne, Australia, this dataset is designed for haze-aware single image dehazing. It was created by researchers from Sungkyunkwan University, ANU, CSIRO, and NIT Rourkela. A satellite version of the dataset was uploaded in July 2025.
NVIDIA Corporation created a dataset of 10 synchronized clips of LiDAR and multi-view video, accompanied by corresponding camera and LiDAR poses. The dataset was published on October 23, 2025. It is intended for commercial and non-commercial use under the NVIDIA Autonomous Vehicle Dataset License Agreement.
LIDAR vertical profiles captured stratospheric temperature and density over Antarctica to study Polar Stratospheric Clouds. The IFA/CNR instrument at McMurdo Base collected data from 1991 to 1992, with 30-minute measurements approximately every four days. Profiles cover altitudes from 25 km up to 40 km.
NOAA's Center for Coastal Monitoring and Assessment collected multibeam bathymetry and airborne LiDAR bathymetry data from March 29 to April 16, 2011. The mission aimed for 100 percent seafloor ensonification and characterization in high-priority conservation areas south of St. Thomas, St. John, and the northern shoals of the US Virgin Islands. Data includes acoustic backscatter and was gathered from NOAA Ship Nancy Foster and a Fugro LADS Mark II Airborne System.
Aggregating experimental data from human subjects walking on a treadmill under normal and five prescribed step width conditions. It includes measurements of torso state and foot placement used to infer linear feedback models for gait control. The data was collected by Jennifer A. Perry and published in 2020.
84 minutes of recordings captured 3,847 bat echolocation signals with corresponding thermal video data. The data was collected using a custom UAV system designed to isolate drone noise for ultrasonic audio recording. It was created by Yanqing Fu and published in 2020.
This dataset contains length measurements of major limb bones from 188 extant limbed amphibians and lizards, used as a morphological proxy for locomotor behavior. It was created by Andrés Ignacio Lires for a 2020 study reconstructing the locomotion of the oldest known frog-like vertebrate, Triadobatrachus massinoti. The analysis aimed to test the hypothesis linking early anuran skeletal features to jumping adaptations.
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.
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 the joint NASA and French CNES CALIPSO mission, which launched in 2006 and flies in the A-Train satellite constellation. Version 3.01 data includes new metadata parameters like Orbit Number and Path Number for improved subsetting.
March 25, 2015 to October 29, 2017 data from the Cloud-Aerosol Transport System (CATS) lidar instrument aboard the International Space Station. The instrument provided vertical profiles of atmospheric aerosols and clouds at three wavelengths from an orbit 230 to 270 miles above Earth. This Level 2 Operational product was produced by NASA's LARC_ASDC with 5 km horizontal and 60 m vertical resolution.
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.
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.
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).
CATS-ISS Level 2 Operational Night Mode data provides vertical profiles of atmospheric aerosols and clouds derived from lidar measurements. This collection contains geophysical parameters at 60m vertical and 5km horizontal resolution, spanning from March 25, 2015 to October 29, 2017. The Cloud-Aerosol Transport System instrument was operated from the International Space Station by NASA's LARC ASDC.
CATS lidar instrument on the International Space Station provided the first space-based diurnal observations of atmospheric clouds and aerosols. This Level 2 Operational data product contains vertical profiles at 5 km horizontal and 60 m vertical resolution. The collection was produced by NASA's LARC_ASDC from March 25, 2015, to October 29, 2017.
CATS lidar on the International Space Station captured vertical profiles of atmospheric clouds and aerosols at night. This specific Level 2 Operational product provides a single day of geophysical data from February 12-13, 2015, processed by NASA's LARC_ASDC. Measurements feature a 60-meter vertical and 5-kilometer horizontal resolution across three wavelengths.