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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,002 datasets
A small test site dataset of combined bathymetric and topographic LiDAR for Strangford Lough, surveyed in January 2006. Data were tidally corrected using UK Hydrographic Office software and cleaned in Caris HIPS to produce a 2-meter horizontal resolution bathymetry dataset. The dataset is provided by OpenDataNI under the OGL-UK-3.0 license.
A land evaluation for commercial peach palm (chontaduro) cultivation in Colombia's Guaviare department, developed under agreement 3045449 of 2021 between UPRA and the Guaviare Governor's Office. The dataset likely contains categorical land suitability ratings and area statistics derived from soil, climate, and land-use information at a 1:100,000 scale. The data was last updated on 2026-05-18.
August and September 2013 airborne field study based in Houston, Texas, collected remotely sensed atmospheric data. The dataset contains Differential Absorption Lidar (DIAL) measurements from the NASA DC-8 aircraft, focusing on trace gases, aerosol properties, and cloud properties. It was designed to study pollutant redistribution, aerosol-climate feedbacks, and to validate future satellite missions.
Guaviare Department in Colombia is the focus of this land evaluation dataset for pineapple (Ananas comosus L.) cultivation. The data was produced through a 2021 agreement between UPRA and the Guaviare Governor's Office, applying a 1:100,000 scale agricultural land suitability methodology. It contains polygon-level classifications of land aptitude, likely derived from soil studies, land cover maps, and climate data.
Ontario, Canada hosts this dataset from the GPM Cold-season Precipitation Experiment (GCPEx), collected from January 14 to February 29, 2012. It contains measurements from the ADMIRARI scanning radiometer, which records brightness temperature at three frequencies and two polarizations, alongside co-located radar reflectivity profiles and cloud lidar data. The dataset was produced by NASA for validating satellite precipitation retrievals.
261 peer-reviewed publications from 2010 to 2025 form the curated corpus for this bibliometric analysis. Wei Sheng Chong compiled this dataset to support a manuscript on the evolution of UAV remote sensing applications in coastal environments. The raw data tracks temporal trends, collaborative patterns, and technical system details to ensure transparency and serve as a baseline for future meta-analyses.
SII-ZhangYiFei provides a teleoperated manipulation dataset for the Unitree G1 humanoid robot. The dataset contains 128 episodes and 107,006 frames recorded at 50 FPS, focusing on a single pick-and-place task. It was last updated on July 17, 2026, and is formatted for the LeRobot codebase.
UAV images used for Structure-from-Motion model generation and grain size measurement. The dataset includes code for image processing and uncertainty estimation of grain size distributions, provided as Python files and Jupyter notebooks. It was created by David Mair from the University of Bern.
JERS-1 Synthetic Aperture Radar data provides the first high-resolution, single-season coverage of the entire Amazon River Basin. The dataset consists of 66 GeoTIFF files, with 32 mosaics for the low flood season (Sep-Dec 1995) and 34 for the high flood season (May-Jul 1996). Its ~100-meter resolution and cloud-penetrating radar sensor enable observation of surface water and land cover changes independent of weather.
Cudal, Australia is covered by a 3D LiDAR mesh scene layer package with a 50mm resolution, published in November 2022. The dataset is hosted by Spatial Services (DCS) on the data.gov.au platform and is accessible via an ESRI SceneServer API. Its spatial reference systems include GDA94, GDA2020, and WGS84.
Saildrone Baja campaign collected oceanographic and atmospheric data during a 60-day autonomous cruise from San Francisco Bay to Guadalupe Island between 11 April 2018 and 11 June 2018. The dataset includes high-resolution near-surface observations and Acoustic Doppler Current Profiler (ADCP) measurements. Its scientific objectives focused on upwelling dynamics, air-sea interactions, and validating satellite data and models.
Airborne LiDAR data were acquired over the East River Watershed in Colorado, USA, on August 10th, 2015. The survey was performed by Quantum Spatial in collaboration with Eagle Mapping Ltd., using a Riegl Q1560 dual-channel LiDAR system mounted on a Piper Navajo. The data complies with the USGS QL1 standard with a point density exceeding 8 pulses per square meter.
40-meter riparian zone polygons represent areas where vegetation cover is less than 20% over at least a 10x10 meter gap. The Department of Environment and Primary Industries derived this data from 15cm aerial photography and LiDAR for a state-wide mapping project between 2010 and 2013. It supports the assessment of river condition in Victoria, Australia.
A 2026 study by Madhusudhan Adhikari compared three UAV-based weed detection methods against a ground-based camera system. The dataset likely contains performance metrics such as prediction accuracy (MAE, RMSE, R²), omission rates, and Bland-Altman analysis results from three mapping dates in a summer fallow field. The data supports research into the operational feasibility of UAV-derived weed maps for site-specific management.
FAOSTAT data for Iran covering land use and fertilizer inputs. The dataset includes categories for Land, Inputs and Sustainability: Fertilizers by Product, Fertilizers by Nutrient, and Land Use. It was last updated on 2026-06-10 and is provided under a CC-BY-3.0-IGO license.
Saildrone unmanned surface vehicles collected in-situ oceanographic and atmospheric data approximately 300 km offshore of San Francisco during the Sub-Mesoscale Ocean Dynamics Experiment. Measurements include upper ocean horizontal velocities, near-surface temperature and salinity, Chlorophyll-a fluorescence, dissolved oxygen, 5-m winds, air temperature, and surface radiation. Data is available at raw high frequencies (1 Hz or 20 Hz) and as 1-minute and 5-minute averages.
From September 21 to October 24, 1992, NASA's TRACE-A campaign collected data over the Atlantic Ocean to investigate high tropospheric ozone concentrations. The dataset includes measurements from 19 instruments aboard a DC-8 aircraft, such as lidar for aerosols and ozone, spectrometers for trace gases (CO, CH4, N2O, CO2), and data from dropped ozonesondes. It represents a focused, multi-instrument snapshot of atmospheric composition and dynamics in a critical region.
ITD-UAV is a 3.5 GB dataset of aerial images for maglev track intrusion detection, released by Jiajing Xu. It is the first publicly available dataset for this specific task. The annotations and supplementary information are organized in the COCO format.
24.6 MB of simulation and experimental data for an ultrasonically-actuating amphibious robot. The dataset, authored by Zhaochun Ding, includes results for designing terrestrial and aquatic transducers, terrestrial and aquatic locomotion experiments, and vibration velocity distributions. It was last updated on May 29, 2026.
NASA's dataset provides high-resolution estimates of above-ground woody biomass for Sonoma County, California, USA, for the nominal year 2013. Biomass density in megagrams per hectare was modeled at 30-meter resolution using airborne LiDAR data and field plot measurements. The dataset includes uncertainty estimates derived from 1,000 model iterations per pixel.