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Robotics & Autonomous Systems

Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation

2,001 datasets

La Selva Forest Canopy Height and Carbon Estimates from LiDAR

March 1998 and March 2005 LiDAR surveys provide 100-meter resolution GeoTIFFs of land-use, canopy height, and aboveground carbon estimates for La Selva Biological Station in Costa Rica. A supplementary look-up table relates modeled height changes to stand characteristics like age and carbon content. NASA produced this dataset to test the scale-dependency and accuracy of the Ecosystem Demography (ED) model for predicting vegetation dynamics and carbon flux.

TabularGeospatialZIPLand Use ChangeGeospatial Model ValidationAboveground Biomass CarbonLidar Canopy HeightTropical Forest Ecology+1

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Robotics & Autonomous Systems

OpenUAV-QA: Large-Scale Multiple-Choice Benchmark for Drone Navigation

OpenUAV-QA is a large-scale multiple-choice question-answering benchmark for UAV (drone) navigation decision-making, built upon the TravelUAV (OpenUAV) dataset. It transforms raw UAV flight trajectories into structured, text-polished 4-option QA pairs that test a multimodal model's ability to reason about path planning, action sequences, and spatial dynamics from first-person drone video footage. The dataset was created by choucsan and was last updated on 2026-07-12.

TextMultimodalUnmanned Aerial VehiclesBenchmarkQuestion AnsweringRoboticsPath PlanningMultimodal ReasoningLarge ScaleSynthetic+1

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Robotics & Autonomous Systems

Calibrated Hydrodynamic Model Outputs for Atchafalaya Basin

ANUGA 2D depth-integrated hydrodynamic model outputs and run-scripts for the Atchafalaya basin in Louisiana's Mississippi River Delta. The dataset contains over a month of simulation results from three field campaigns in fall 2016, spring 2021, and fall 2021. NASA produced this resource, which was calibrated using in-situ gauges and remote sensing data.

Time SeriesGeospatialWater LevelsCoastal ProcessesRiver DeltaGeospatial SimulationHydrodynamic Modeling+1

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Robotics & Autonomous Systems

Delta-X Digital Elevation Model for Atchafalaya and Terrebonne Basins

2021 data provides an updated multisource digital elevation model for the Atchafalaya and Terrebonne river basins in coastal Louisiana. It integrates sonar, bathymetric, and LiDAR data from the Delta-X and Pre-Delta-X campaigns, CPRA SWAMP, NOAA, and USGS. The dataset includes elevation values, a water/land mask, source flags, and weighting factor layers in cloud-optimized GeoTIFF format.

GeospatialZIPTopographyCoastal LouisianaDelta MorphologyDigital Elevation ModelBathymetry+1

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Robotics & Autonomous Systems

ACEPOL HSRL-2: Airborne Lidar Aerosol Profiles

Fall 2017 aerosol and cloud measurements were collected over the United States by the High Spectral Resolution Lidar 2 (HSRL-2) instrument aboard a NASA ER-2 aircraft during the ACEPOL campaign. The data provide active remote sensing of aerosol height profiles, optical properties, and size distribution to improve understanding of aerosol effects on climate and air quality. Observations cover diverse scenes including urban, desert, forest, coastal ocean, and agricultural areas under clear, cloudy, polluted, and pristine conditions.

Time SeriesGeospatialClimate ResearchAtmospheric ScienceBenchmarkMeteorological DataAirborne CampaignAircraft CampaignAerosol Remote SensingLidar Measurements+1

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Robotics & Autonomous Systems

Sub-Saharan Africa Woody Cover and Biomass Gridded Maps, 2000-2004

NASA provides 1 km resolution maps of woody vegetation cover and biomass for Sub-Saharan Africa from 2000 to 2004. The dataset integrates field measurements, Google Earth imagery, MODIS optical data, Q-SCAT microwave measurements, and spaceborne lidar. It was created using canopy cover observations, predicted woody cover, canopy height estimates, and tree allometry equations.

GeospatialZIPWoody CoverSub Saharan AfricaBiomass Estimation+1

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Robotics & Autonomous Systems

Lidar Water Level Profiles for Mississippi River Delta Channels

Fall 2016 lidar data from NASA's Pre-Delta-X campaign provides water surface elevation profiles for river channels between Wax Lake and the Gulf of Mexico. The dataset offers time-specific water levels in meters, calibrated with in-situ field measurements and referenced to NAVD 88 and WGS 84 geoids. It was produced by NASA using an Airborne Snow Observatory (ASO) lidar instrument.

GeospatialPoint CloudZIPWater LevelsSurface Water+1

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Robotics & Autonomous Systems

Alice Mulga Site Digital Elevation Model from Airborne Lidar and Hyperspectral Data

Airborne full waveform lidar and hyperspectral data in the VNIR bands collected by Flinders University's Airborne Research Australia aircraft. The record contains information on the Digital Elevation Model of the Alice Mulga site. Data was collected in 2014 and is hosted by the Terrestrial Ecosystem Research Network's Data Discovery portal.

GeospatialPoint CloudZIPEcosystem ResearchHyperspectralDigital Elevation Model+1

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Robotics & Autonomous Systems

Tumbarumba Wet Eucalypt Site Digital Elevation Model from Lidar, 2012

2012 elevation profile images of the Tumbarumba Wet Eucalypt Site obtained from airborne full waveform lidar and hyperspectral data. The data was collected by Flinders University's Airborne Research Australia (ARA) using a research aircraft. The record is provided by the Terrestrial Ecosystem Research Network's Data Discovery platform.

ImageGeospatialPoint CloudZIPEcosystem ResearchDigital Elevation Model+1

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Robotics & Autonomous Systems

Comma1M: One-Minute Driving Segments with Video and Localization

One million minutes of driving data collected from real user vehicles equipped with comma devices. The dataset includes road-camera video and full localization data for each segment. It was created by commaai and spans several hardware generations, including comma two, comma three, comma 3X, and comma four.

VideoMultimodalAutonomous VehiclesLocalization DataAutonomous DrivingRoad Video+1

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Robotics & Autonomous Systems

TRACE-P: DC-8 Aircraft Lidar and In-Situ Atmospheric Data

The western Pacific region during March-April 2001 is the focus of this dataset from NASA's Transport and Chemical Evolution over the Pacific (TRACE-P) campaign. It combines Differential Absorption Lidar (DIAL) remote sensing and in-situ instrument data from the DC-8 aircraft to measure trace gases, aerosols, ozone, and meteorological parameters. The dataset is part of the NASA Global Tropospheric Experiment (GTE) and represents a completed, multi-instrument atmospheric survey.

TabularTime SeriesGeospatialATMOSPHERIC CHEMISTRYPacific RegionTrace GasesCloud DataAEROSOLSNasa GteTrace PAircraft In SituLidar Remote Sensing+1

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Robotics & Autonomous Systems

Humanoid Robot Manipulation Samples for Household Task Review

Humanoid Robot Manipulation Samples provide first-person manipulation sequences in real-world settings. The sample dataset, created by psdn-ai, is intended for reviewing household task structure, object interaction, and capture quality. It was last updated on July 7, 2026.

VideoMultimodalHousehold TasksAction RecognitionRoboticsEgocentric VisionManipulation+1

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Robotics & Autonomous Systems

ISC2010: Victoria River Condition Metrics from Remote Sensing, 2010-2013

Victoria, Australia's river condition was assessed using the Index of Stream Condition (ISC) between 2010 and 2013. The Department of Environment and Primary Industries (DEPI) developed this dataset using remote sensing data, specifically 15cm aerial photography and multi-pulse LiDAR, to map Physical Form and Riparian Vegetation metrics. The full package includes all spatial vector features and aspatial statistical summary tables derived from this mapping project.

TabularGeospatialPoint CloudGeospatial MetricsRiver ConditionEnvironmental AssessmentFinance+1

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Robotics & Autonomous Systems

LA-33K: Language-Action Pretraining Data for Robot Manipulation

33,116 short, atomic manipulation episodes collected for pretraining vision-language-action models. The dataset contains 1.52 million frames and 9,532 language tasks, formatted for the LeRobot v2.1 framework and derived from Franka robot demonstrations. It was created by MINT-SJTU and last updated on July 8, 2026.

MultimodalRobot ManipulationPretrainingComputer VisionEpisodic DataVision Language ActionLanguage ActionPretraining Data+1

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Robotics & Autonomous Systems

ASO OLYMPEX: Snow Depth and Terrain from Airborne LiDAR

NASA's Airborne Snow Observatory (ASO) OLYMPEX dataset provides high-resolution snow depth, bare earth surface, land surface classification, and RGB composite imagery at 3-meter spatial resolution. These data were collected via a Riegl Q1560 scanning LiDAR and an ITRES CASI-1500 imaging spectrometer during the Olympic Mountains Experiment (OLYMPEX) field campaign in the Pacific Northwest. The dataset includes measurements from two snow-on periods in February and March 2016, using a September 2014 flight as a no-snow baseline for depth derivation.

ImageGeospatialPoint CloudCryospheric IndicatorsLand Surface ClassificationComputer VisionSnow Depth+1

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Robotics & Autonomous Systems

SIS-Bench: Evaluating Spatial Intelligence in UAV Scenarios

SIS-Bench is a comprehensive benchmark constructed from three diverse UAV video sources for evaluating multimodal large language models. It assesses spatial cognition and self-awareness across three cognitive levels of increasing difficulty: perception, memory, and reasoning. The benchmark was created by choucsan and last updated on July 13, 2026.

TabularMultimodalMachine LearningSpatial IntelligenceEvaluationBenchmarkUavPerformance Metrics+1

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Robotics & Autonomous Systems

World Bank Gender Statistics for Iran, Latest Sex-Disaggregated Data

Gender statistics from the World Bank covering the Islamic Republic of Iran. The data includes sex-disaggregated indicators across demography, education, health, economic opportunities, public life, and agency. It was last updated on 2026-04-28 and is licensed under CC-BY-4.0.

TabularAudioCSVDevelopment IndicatorsWorld BankHealthcareFinanceDemographyEconomic OpportunityGender Equality+1

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Robotics & Autonomous Systems

CRSLP: Cooperative Roadside LiDAR Placement Benchmark with 900+ Plans

CRSLP is a benchmark dataset for evaluating cooperative roadside LiDAR placement strategies. It covers 13 sites, over 100 traffic scenarios, and more than 900 placement plans with corresponding long IoU sequences. The dataset, created by Yang Ma and last updated in 2026, includes over 3600 frames of point cloud data per test configuration, totaling 1.6 GB.

TabularPoint CloudZIPRoadside SensorsAutonomous VehiclesTraffic ScenariosBenchmarkSensor PlacementLidar Placement+1

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Robotics & Autonomous Systems

AfriSAR Forest Canopy Structure from UAVSAR PolInSAR and TomoSAR

NASA's AfriSAR dataset provides forest vertical structure and uncertainty products for Gabonese forests, derived from multi-baseline Polarimetric Interferometric SAR and Polarimetric Coherence Tomographic SAR techniques. Data were collected during multiple UAVSAR flights in February-March 2016 as part of a joint NASA/ESA campaign. Supplementary products include radar backscatter, coherence, and viewing and terrain geometry data.

GeospatialMultimodalZIPGabonSynthetic Aperture RadarForest Canopy StructureBenchmarkBiomass EstimationSynthetic+1

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Robotics & Autonomous Systems

TDWB_19_2: Experimental Delta Morphology and Mass Balance Data

TDWB_19_2_MassBalance_Morphology data are used to reproduce results from the paper 'Marsh sedimentation controls delta top morphology, slope, and mass balance' by Sanks et al., 2022. The data include processed LiDAR scans, channel maps, stratigraphic marsh fraction from control and treatment experiments, and elevation data from four global deltas. Author Kelly Sanks provides the data and code via a GitHub repository.

GeospatialPoint CloudStratigraphyGeomorphologyDelta MorphologyExperimental Data+1

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