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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,662 datasets
This dataset provides modeled estimates of aboveground biomass for land cover types within World Wildlife Fund ecoregions across the boreal forests of Alaska and Canada. The estimates are derived from a two-stage modeling process linking ground measurements to airborne Portable Airborne Laser System (PALS) LiDAR, and then to spaceborne Geoscience Laser Altimeter System (GLAS) LiDAR data from NASA's ICESat satellite. Data synthesis primarily uses remote sensing data from June 2005 and 2006, with supporting airborne and land cover data spanning 1999 to 2009.
5.5 KB of tabular data in XLS format compares the performance of different 3D object detection methods on the KITTI dataset. The dataset was authored by Nan Zhang and last updated on June 1, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
5.5 KB of tabular results from an ablation study of an improved PointNet model, authored by Nan Zhang and shared under a CC-BY-4.0 license. The dataset was last updated on June 1, 2026, and is hosted on figshare.
A performance comparison of different 3D object detection methods evaluated on the NuScenes dataset. The dataset was authored by Nan Zhang and last updated on June 1, 2026. It is a small, 5.5 KB Excel file containing aggregated benchmark results.
A 5.5 KB Excel file compares the parameter counts and FLOPs between SVTRv2 and SVTRv2X model variants. Jian Guo authored this dataset, which was last updated on June 1, 2026. The specific row count and detailed column definitions are not provided in the metadata.
From April 1, 2015 to the present, this dataset provides monthly averaged, globally gridded sea surface salinity measurements from NASA's Soil Moisture Active Passive (SMAP) satellite. The Version 5.0 product, produced by Remote Sensing Systems, introduces formal uncertainty estimates and improved sea-ice correction using direct AMSR-2 brightness temperature data. It offers two spatial resolution products, with the default 70km data recommended for open ocean applications due to lower noise.
A LIDAR Composite Digital Surface Model (DSM) provides raster elevation data for over 93% of England at a 2-meter spatial resolution. Produced by the Environment Agency in 2020, it merges data from the Time Stamped archive and National LIDAR Programme, with surveys conducted between June 2000 and September 2020. The DSM includes heights of objects like buildings and vegetation, has a vertical accuracy of +/-15cm RMSE, and is referenced to the Ordnance Survey Newlyn datum.
A raster elevation model covering over 93% of England at a 2-meter spatial resolution. Produced by the Environment Agency in 2020, it combines data from the Time Stamped archive and National LIDAR Programme, with surveys conducted between June 2000 and September 2020. The Digital Terrain Model (DTM) is derived from processed LIDAR signals to represent the bare earth surface, with a vertical accuracy of +/-15cm RMSE.
Over 85% of England is covered by this 10-meter resolution Digital Terrain Model derived from Environment Agency LIDAR surveys. The composite raster merges data from the Time Stamped archive and National LIDAR Programme, using the newest, best resolution surveys available between March 1998 and September 2019. This retired dataset, produced by the Environment Agency, presents elevation in meters referenced to the Ordnance Survey Newlyn datum.
England's terrain is modeled at 1-meter spatial resolution, covering over 80% of the country. The Environment Agency produced this 2019 Digital Terrain Model by merging and re-sampling LIDAR surveys from June 2000 to September 2019. Data is available as GeoTiff files in 5km grids with a vertical accuracy of +/-15cm RMSE.
Over 88% of England is covered by this 1-meter resolution Digital Terrain Model produced by the Environment Agency in 2020. It is derived from a composite of LIDAR surveys conducted between June 2000 and September 2020, with a vertical accuracy of +/-15cm RMSE. The data is available as GeoTiff files in 5km grids, with surface objects removed to represent the bare earth terrain.
Forest canopy height and uncertainty estimates for study areas in Pongara and Lope National Parks, Gabon. The dataset contains two products: one derived from multi-baseline Polarimetric Interferometric SAR (PolInSAR) data using an RVoG model inversion, and another from a fusion of PolInSAR and LVIS Lidar data. Data was collected during the NASA-led AfriSAR campaign from February 27 to March 8, 2016, in collaboration with ESA and the Gabonese Space Agency.
A database of the socioeconomic stratification for the Municipality of San JosΓ© del Guaviare, Colombia, with a cut-off date of September 2022. The dataset is provided by www.datos.gov.co and was last updated in May 2026. It includes columns for property codes, addresses, zones, and socioeconomic strata.
Colombian municipal data listing beneficiaries of the Solidarity Income subsidy who claimed the payment at the Agrarian Bank. The dataset includes beneficiary identification numbers and municipal codes for San Juan de Arama in November 2020. It is hosted on the Colombian open data portal, datos.gov.co, and was last updated on May 18, 2026.
Lidar-derived geospatial products from Quebec's Ministry of Natural Resources and Forests cover southern Quebec. The data includes five models: digital terrain, shaded relief terrain, canopy height, slopes, and level curves, distributed in 1:20,000 scale map sheets.
Two Saildrone uncrewed surface vehicles, SD-1041 and SD-1046, collected a 60-day multivariate dataset in the Bering and Chukchi Seas from 18 June to 17 August 2022. The mission, in collaboration with the Distributed Biological Observatory, gathered near real-time surface ocean and atmospheric data along specific transect lines. Measurements likely include air temperature, wind, waves, seawater temperature, salinity, chlorophyll fluorescence, dissolved oxygen, and near-surface currents from 300 kHz ADCPs.
Ten high-altitude aircraft missions totaling 60 flight hours in September 1995 validated the Lidar Atmospheric Sensing Experiment (LASE) system. The National Aeronautics and Space Administration conducted the experiment from Wallops Island, Virginia, comparing LASE water vapor profiles against in-situ balloon, aircraft, and ground-based measurements. The data includes case studies of Hurricane Luis, a coastal sea breeze, cold fronts, and cirrus clouds.
An inventory of information assets held by the Guaviare Department Comptroller's Office, constructed according to general information security and privacy policy. The dataset includes 8 columns such as 'Idioma', 'Γtem', and 'Formato'. It was last updated on 2026-05-18 and is available via the www.datos.gov.co platform.
The eastern Tibetan Plateau is the study area for this dataset, which examines 21 typical alpine meadow plots disturbed by plateau zokors. It integrates UAV-derived fresh soil mound density as a proxy for disturbance intensity with ground survey data on six metrics, including vegetation cover and above-ground biomass. The dataset was authored by Yifan Zhao and last updated in May 2026.
Blacktown City Council provides flood extent polygons, hazard categories, and LiDAR data for a regional catchment area. The dataset includes flood level contours to map inundation risk. It was last updated on 2026-06-03.