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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,016 datasets
Aggregating terrestrial LiDAR point cloud data capturing detailed 3D vegetation structure at the Tumbarumba Wet Eucalypt site in Bago State Forest, New South Wales, Australia. It was collected in 2022 as part of the Terrestrial Ecosystem Research Network's standardized national data collection effort to study vegetation dynamics and ecosystem function.
A pilot bathymetric LiDAR survey mapped nearshore areas of Dundrum Bay and Carlingford Lough in 2021. Natural colour orthophotography was captured simultaneously as part of the NI 3D Coastal Survey. The dataset is provided by OpenDataNI under the OGL-UK-3.0 license.
Featuring terrestrial LiDAR point cloud data capturing detailed 3D vegetation structure from the Warra Tall Eucalypt SuperSite in southern Tasmania, Australia. It was collected in 2023 by the Terrestrial Ecosystem Research Network (TERN) as part of a standardized national monitoring effort.
Aggregating terrestrial LiDAR point cloud data capturing detailed 3D vegetation structure from the Litchfield Savanna SuperSite in Australia's Northern Territory in 2021. It was collected by the Terrestrial Ecosystem Research Network (TERN) as part of a standardized national effort to monitor ecosystem function and vegetation dynamics.
Lidar data from the First ISCCP Regional Experiments (FIRE) Cirrus Phase II campaign, collected by the Langley Research Center's eight-inch, dual-channel polarization-sensitive lidar. The dataset was created to improve cloud and radiation parameterizations for general circulation models. Observations were made during an intensive field period in southeastern Kansas from November 13 to December 7, 1991.
Lidar measurements of cloud backscatter from the First ISCCP Regional Experiment (FIRE) Cirrus Phase I field campaign. The dataset was collected by the Langley Research Center (LARC) using a dual-channel polarization sensitive lidar system. Observations were made during an intensive field period from October 13 to November 2, 1986.
Featuring terrestrial LiDAR (TLS) point cloud data capturing detailed 3D vegetation structure at the Great Western Woodlands SuperSite on Credo Station, Western Australia. It was collected in 2021 by the Terrestrial Ecosystem Research Network (TERN) to support analysis of vegetation dynamics and ecosystem function.
A collection of terrestrial LiDAR point clouds capturing detailed 3D vegetation structure at the Cumberland Plain Woodland SuperSite in Western Sydney, Australia. It was collected in 2022 by the Terrestrial Ecosystem Research Network (TERN) as part of a standardized national monitoring effort.
UNESCO-sourced education indicators for the Islamic Republic of Iran, updated as of March 2026. The dataset aggregates SDG 4 metrics, demographic data, and socio-economic indicators from the UIS bulk data service.
Panocarla is a dataset hosted on HuggingFace by author Soon122. Its title suggests a focus on autonomous vehicle perception, likely combining panoramic imagery and data from the CARLA simulator. The dataset was last updated on May 24, 2026.
August 17, 2021 through September 4, 2021 airborne measurements from the NASA DC-8 aircraft during the CPEX-AW field campaign. The dataset includes GPS positioning, aircraft orientation, and atmospheric state measurements of temperature, pressure, water vapor, and horizontal winds. It was collected by NASA and ESA for post-launch calibration and validation of the ADM-AEOLUS wind Lidar satellite.
EchteAI-SeaDronessee-M3-checkpoints is a collection of model weights published on Kaggle. The dataset's author, organization, and specific contents are not detailed in the provided metadata. Its intended application and the nature of the underlying model require verification after download.
Rf_Dronedetect is a dataset hosted on Kaggle. Its title suggests it contains radio frequency data related to drone detection. The dataset's specific content, size, and origin are not detailed in the available metadata.
A bilateral air transport agreement between Canada and Pakistan establishes the framework for commercial air services. The archived document is provided by Global Affairs Canada for research and recordkeeping purposes. It was last updated in the platform on February 26, 2026, but the agreement content itself is noted as outdated.
A consolidated list of supervised organizations in Colombia's solidarity sector, including general data, location, and supervision characteristics. The dataset is published by datos.gov.co and was last updated on March 5, 2026. It includes columns for entity name, ID, activity, location, contact details, and supervision status.
An RTK-SLAM dataset for evaluating absolute global positioning accuracy in GNSS-degraded and GNSS-denied environments. The dataset was created by researchers from the Institute for Photogrammetry and Geoinformatics at the University of Stuttgart, Germany, and was last updated in April 2026.
KITTI-Hazy-optical-flow is a dataset derived from the KITTI autonomous driving benchmark. The dataset likely contains image sequences with corresponding optical flow fields, modified to include synthetic atmospheric haze. Its specific scale, creation date, and author are not detailed in the provided metadata.
UAV-based observations of forest disease and pest conditions. The dataset is hosted on Kaggle and likely contains hyperspectral imagery for monitoring forest health. Specific details on data volume, collection dates, and authorship are not provided in the available metadata.
2001 data from the CAMEX-4 field campaign collected by the University of Alabama in Huntsville Mobile Integrated Profiling System (MIPS). This dataset provides measurements from Electric Field Mills, capturing information about atmospheric electrical fields above the instruments. The data is hosted by the Global Hydrology Resource Center Distributed Active Archive Center (GHRC DAAC).
Central Texas coast airborne lidar surveys conducted by the Bureau of Economic Geology, University of Texas at Austin. The dataset includes two surveys from February 27, 2024, and August 1, 2024, capturing conditions before and after Hurricane Beryl made landfall. Data files include LAS point clouds and wrack line shapefiles.