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Robotics & Autonomous Systems

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

2,003 datasets

Egodyn Bench

EgoDyn-Bench is a physics-grounded Visual Question Answering benchmark for evaluating Vision-Language Models on trajectory-based dynamics reasoning in autonomous driving. The dataset was created by author fnc1901 and was last updated on June 22, 2026. A portion of the data is derived from the nuScenes dataset.

MultimodalVision Language ModelsPhysics GroundedBenchmarkComputer VisionAutonomous DrivingTrajectory ReasoningVqa Benchmark+1

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Robotics & Autonomous Systems

SMAP-SSS: Satellite-Derived Global Sea Surface Salinity 8-Day Running Mean

NASA's SMAP satellite provides global sea surface salinity data starting April 1, 2015, with an 8-day moving average to reduce noise. Version 5.0 introduces formal uncertainty estimates and improved sea-ice edge detection using direct AMSR-2 brightness temperature measurements. The primary product is a gridded map at 0.25-degree resolution, offering a 70km smoothed field recommended over a noisier 40km alternative.

Time SeriesGeospatialTextOceanographySMAPSatellite Remote SensingComputer VisionEarth Science Salinity Density Oceans Salinity NonSea Surface Salinity+1

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Robotics & Autonomous Systems

CALIPSO: 5 km Cloud and Aerosol Layer Data from Satellite Lidar

CALIPSO, a joint NASA-CNES satellite launched in 2006, provides vertical profiles of clouds and aerosols to study their impact on Earth's climate. The Level 2 data product contains 5 km aerosol layer observations from the CALIOP lidar instrument. This data is part of the international A-Train satellite constellation for coincident Earth observations.

GeospatialPoint CloudClimate ScienceCloud AerosolSatellite Imagery+1

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Robotics & Autonomous Systems

Mephedrone Mentions in 5,000 Double-Annotated Tweets

Anna Kolliakou created a collection of 5,000 tweets manually double-annotated for relevance to mephedrone, a novel psychoactive substance. The dataset provides labeled text data for training models to detect drug-related content on social media. Its geographic scope is not specified, but the data originates from the Twitter platform.

TextSocial MediaText AnnotationsNovel Psychoactive SubstancesDrug Mentions+1

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Robotics & Autonomous Systems

Building Footprints in Laval with Construction and Survey Methods

Building footprints for the territory of Laval, Quebec, produced by the City of Laval. The dataset includes fields for building type, name, release date, and the digitization method used for each structure. Data is provided in multiple geospatial formats including SHP, GEOJSON, and KML.

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Robotics & Autonomous Systems

LiDAR Point Cloud and Terrain Models for Brazilian Forest Research

Five forested areas in Paragominas, Para, Brazil, are covered by this dataset, which provides raw LiDAR point cloud data and derived Digital Terrain Models (DTMs). Data collection spans the years 2012, 2013, and 2014 across specific sites, including Fazenda Cauaxi and Fazenda Andiroba. The dataset is provided by the National Aeronautics and Space Administration (NASA) and includes shapefiles delineating the LiDAR coverage areas.

GeospatialPoint CloudZIPCSVBrazil ForestryForest CanopyDigital Terrain ModelLidar Point CloudGeospatial Forest+1

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Robotics & Autonomous Systems

LiDAR-Derived Forest Biomass and Canopy Metrics for Maryland

NASA's CMS dataset provides 30-meter gridded estimates of aboveground biomass, canopy height, and canopy coverage for the state of Maryland in 2011. The models were built using 848 field sampling sites, leaf-off LiDAR data, and agricultural imagery, with predictions generated via random forests regression across three physiographic regions.

GeospatialPoint CloudZIPCanopy HeightForest InventoryAboveground BiomassMaryland+1

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Robotics & Autonomous Systems

Urban Development Indicators for Iran, Islamic Republic

Iran, Islamic Republic data from the World Bank's portal, consolidated on HDX. The dataset likely contains indicators related to urbanization, traffic, congestion, and air pollution, sourced from organizations like the United Nations Population Division and World Health Organization. It was last updated on 2026-04-28 and is provided under a CC-BY-4.0 license.

TabularCSVAir PollutionUrban DevelopmentTraffic CongestionHealthcareFinance+1

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Robotics & Autonomous Systems

World Bank Infrastructure Indicators for Iran, Islamic Republic

Infrastructure data for Iran, Islamic Republic, compiled from sources like the International Road Federation and the International Telecommunications Union. The dataset is published by the World Bank Group under a CC-BY-4.0 license and was last updated on 2026-04-28. It contains indicators related to water, sanitation, energy, housing, transport, and information and communication technologies.

TabularCSVTelecommunicationsEconomic DevelopmentWorld BankHealthcareFinanceInfrastructureTransport Energy+1

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Robotics & Autonomous Systems

Iran Health Indicators from World Bank and UN Agencies

World Bank and UN data covering health systems, disease prevention, reproductive health, nutrition, and population dynamics for the Islamic Republic of Iran. The dataset aggregates indicators from sources including the United Nations Population Division, World Health Organization, UNICEF, and UNAIDS. It was last updated on 2026-04-28 and is provided under a CC-BY-4.0 license.

TabularCSVIranReproductive HealthPopulation DynamicsHealthcareHealth SystemsDisease PreventionFinance+1

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Robotics & Autonomous Systems

World Bank Environmental Indicators for Iran, Islamic Republic of

World Bank Group data on environmental resources for Iran, Islamic Republic of. The dataset likely contains indicators covering forests, biodiversity, emissions, and pollution. It was last updated on 2026-04-28 and is available under a CC-BY-4.0 license.

TabularCSVForestsPollutionFinanceEmissionsEnvironmentBiodiversity+1

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Robotics & Autonomous Systems

World Bank Aid Effectiveness Indicators for Iran

World Bank Group data on aid effectiveness for the Islamic Republic of Iran, last updated on 2026-04-28. The dataset covers indicators related to aid received and its impact on poverty reduction, growth, capacity building, and progress toward Millennium Development Goals. It includes measures of human welfare such as education and health outcomes.

TabularCSVDevelopment IndicatorsAid EffectivenessHealthcareEducationHealthFinancePoverty+1

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Robotics & Autonomous Systems

UAV Phenotyping Data for Megathyrsus maximus with Machine Learning Analysis

A study by Guilherme Francio Niederauer, published on figshare in 2026, provides tabular data from UAV-based phenotyping of a Megathyrsus maximus (guinea grass) biparental population. The dataset likely contains results from optimizing image acquisition parameters, evaluating digital traits like pixel count and Haralick's entropy, and applying machine learning models to predict yield and canopy height. It includes analyses of ground sampling distance effects, heritability estimates, and genotype selection efficiency.

TabularGeospatialExcelMachine LearningPlant breedingComputer VisionUav Phenotyping+1

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Robotics & Autonomous Systems

UAV Phenotyping Data for Megathyrsus maximus Yield and Height Prediction

A study by Guilherme Francio Niederauer, published on figshare in April 2026, optimized UAV-based phenotyping methods for a Megathyrsus maximus biparental population. It examines how ground sampling distance, environment, and harvest date affect the accuracy of RGB-derived digital traits in predicting yield and canopy height, applying machine learning and mixed model analyses.

TabularGeospatialMachine LearningPlant breedingComputer VisionUav Phenotyping+1

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Robotics & Autonomous Systems

Path Planning Algorithm Comparison for Mine Robotics

A simulated environment dataset from a study proposing an improved A* algorithm for underground mine transport robots. The dataset, shared by TongZhu Yu on figshare, compares search data between two algorithms to validate efficiency and safety improvements. It was last updated on 2026-05-04.

TabularExcelA Star AlgorithmMine SafetySimulation DataRoboticsPath PlanningSynthetic+1

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Robotics & Autonomous Systems

Path Planning Simulation Data for Coal Mine Transport Robots

A dataset supporting research on improved path planning algorithms for underground transport robots in coal mines. The data was created by TongZhu Yu and published on figshare under a CC-BY-4.0 license in May 2026. It is a 72.3 MB archive containing simulation results for validating a hybrid A* and DWA algorithm.

TabularA Star AlgorithmRoboticsPath PlanningSimulationSynthetic+1

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Robotics & Autonomous Systems

CAMEX-3 Scanning Raman Lidar Atmospheric Constituent Data

CAMEX-3 Scanning Raman Lidar dataset provides vertical profiles of atmospheric constituents, specifically water vapor and aerosols. The data was collected by NASA during the CAMEX-3 campaign on Andros Island from 6 August to 20 September 1998. This dataset supports research into atmospheric composition and dynamics.

Time SeriesGeospatialPoint CloudWater VaporAtmospheric ScienceAEROSOLSCamex 3+1

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Robotics & Autonomous Systems

Table S10: GLMM Analysis of Crown-of-Thorns Starfish Locomotion (n=124)

124 trials of Crown-of-Thorns starfish locomotion were analyzed using a Generalized Linear Mixed Model (GLMM). The table, authored by Masumi Kamata, summarizes statistical results including effect estimates, standard errors, confidence intervals, and p-values. It was last updated on May 5, 2026, and is shared under a CC-BY-4.0 license.

TabularExcelCrown Of Thorns StarfishStatistical ResultsGlmm AnalysisLocomotionMarine Biology+1

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Robotics & Autonomous Systems

SUCCESS Mission Utah Polarization Diversity LIDAR Atmospheric Data

Ground-based measurements from the University of Utah Polarization Diversity LIDAR were collected at the CART site during the April-May 1996 SUCCESS Mission. This NASA field program involved over a hundred participants from multiple centers, agencies, and universities to study the effects of subsonic aircraft on contrails, cirrus clouds, and atmospheric chemistry. The dataset provides detailed observations from a focused, multi-institutional atmospheric campaign.

Time SeriesGeospatialTextSuccess MissionCloud PhysicsLidar MeasurementsContrail ResearchAtmospheric Aerosols+1

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Robotics & Autonomous Systems

UAVSAR Interferometric Water-Level Data for Mississippi River Delta Wetlands

Southern Louisiana's Atchafalaya and Terrebonne Basins are covered by this dataset of UAVSAR Level 2 interferometric products from the 2021 Delta-X campaign. It provides water-level change observations from spring and fall deployments, with measurements taken at 30-minute intervals during flights. The data were collected by a NASA Gulfstream-III aircraft equipped with an L-band synthetic aperture radar.

Time SeriesGeospatialWetland HydrologyRadar InterferometryCoastal ElevationDelta X CampaignWater Level ChangeSynthetic+1

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Robotics & Autonomous Systems Datasets | DataSalon