Loading...
Loading...
Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,664 datasets
1680 examples of moderation content translated from English to Brazilian Portuguese, designed to preserve original toxicity and vulgarity without softening. The dataset was created by HRB25 to train and validate moderation systems handling Brazilian slang and highly toxic content. It was last updated on April 3, 2026.
A geospatial boundary dataset for the Camas National Wildlife Refuge in Idaho, projected into Idaho State Plane East coordinates. The data is provided by the Department of the Interior to support high-resolution LiDAR data. The dataset was last updated on March 4, 2026.
Monika Brusenbauch Meislova's 26.5 KB dataset supports a critical metaphor analysis of European Commission President Ursula von der Leyen's public statements. The data traces the emergence and transformation of key metaphorical framings of solidarity with Ukraine from February 2022 onward. It is available as an XLSX file under a CC-BY-4.0 license.
A cyber threat bulletin from the Communications Security Establishment Canada analyzing Iran's likely cyber response to U.S. and Israeli military strikes in February 2026. The document, published on March 10, 2026, assesses retaliatory cyber operations following specific kinetic events.
Visible and Near-Infrared Hyperspectral Imaging data prepared for the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2026. This specific version is a refined subset of an original benchmark dataset. The dataset was authored by SagarLekhak and last updated on March 22, 2026.
7,005 square kilometers of lidar data covering fourteen partial counties in Utah, with partial coverage of three counties in the Minidoka National Wildlife Refuge. The data was acquired in fall 2016 by Quantum Spatial, Inc. for the Department of the Interior. It includes classified LAS files, digital elevation models, digital surface models, intensity imagery, and breaklines.
NASA Operation IceBridge's gridded Surface Elevation product is derived from Airborne Topographic Mapper (ATM) lidar data collected during annual low-altitude surveys over Arctic sea ice from March 2009 to May 2018. The data are processed into a specialized grid with a 30-meter along-track dimension to optimize the non-uniform sampling density of the conical lidar scanner. This dataset provides high-resolution elevation measurements for studying sea ice topography and change.
GPS-labelled drone image tiles for monitoring sapling survival, sourced from a government initiative in Odisha, India. The dataset is intended for classification tasks related to afforestation efforts. The specific scale, collection dates, and total number of images are not detailed in the provided metadata.
380 lidar records from the 2025 East Riding survey conducted by the National Network of Regional Coastal Monitoring Programmes of England. The dataset is hosted by the Marine Environmental Data & Information Network and was last updated in April 2026.
CCO South West lidar 2025 contains 1538 records of airborne laser scanning data for coastal zones. The Marine Environmental Data & Information Network compiled this dataset through the National Network of Regional Coastal Monitoring Programmes of England. Data was last updated in April 2026.
CCO Anglia lidar 2025 is a geospatial dataset containing 272 records of coastal lidar scans. The Marine Environmental Data & Information Network produced this data for the National Network of Regional Coastal Monitoring Programmes of England. The dataset was last updated in April 2026.
Open Locomotion Skills Dataset provides expert, random, and domain-randomized trajectories for training and evaluating locomotion policies. The dataset contains approximately 4,200 episodes and over 2.7 million steps, collected from MuJoCo/Gymnasium environments for four robot morphologies: HalfCheetah, Ant, Walker2d, and Hopper. It was created by author kanishqgandharv and last updated on March 27, —.
Contour lines for Utah provide statewide 500-foot intervals from a 10-meter DEM and high-resolution 0.5-meter intervals from 2-meter LiDAR for Salt Lake County. The LiDAR-derived contours cover 4,000 x 4,000 meter blocks and are provided without smoothing. Data originates from the National Elevation Dataset and was processed by the organization SCIOPS.
CALIPSO's Wide Field Camera Level 1B data provides calibrated radiance and bidirectional reflectance measurements registered to a 1-kilometer Earth grid. This dataset is produced by NASA and the French space agency CNES from the CALIPSO satellite, which has been operational since its launch in April 2006. The data is specifically gridded to match the footprint of the onboard Imaging Infrared Radiometer to aid joint retrievals.
Late 2014 estimates of aboveground biomass, canopy cover, canopy height, landcover, and a forest degradation index for forests in Kalimantan, Indonesia. The data were produced by the National Aeronautics and Space Administration by integrating field sampling, airborne lidar, satellite measurements, and a land cover map using a random forest algorithm.
A pilot bathymetric LiDAR survey mapped the nearshore areas of Dundrum Bay and Carlingford Lough in Northern Ireland in 2021. Natural colour orthophotography was captured simultaneously with the LiDAR data. The dataset is published by OpenDataNI under the OGL-UK-3.0 license and was last updated in March 2026.
A 2021 pilot bathymetric LiDAR survey mapped the nearshore areas of Dundrum Bay and Carlingford Lough in Northern Ireland. Natural Colour Orthophotography was captured simultaneously with the LiDAR data. The dataset is provided by OpenDataNI under the OGL-UK-3.0 license and was last updated in March 2026.
A 2021 pilot survey mapped the nearshore areas of Dundrum Bay and Carlingford Lough in Northern Ireland. It includes bathymetric LiDAR data and natural colour orthophotography captured simultaneously. The dataset is published by OpenDataNI under the OGL-UK-3.0 license.
Indian Road Driving Dataset is the largest open dataset of annotated Indian road footage, created by ThirdEye Labs. It addresses a critical gap by capturing unique challenges like dense mixed traffic, auto-rickshaws, and cattle, which are absent from datasets like BDD100K and nuScenes.
LiDAR and RGB orthophotos from 2009 cover the entire Snohomish River estuary. The dataset supports comprehensive abiotic and biotic monitoring of the Qwuloolt estuarine levee breach restoration at a 150-hectare site. It was published by the National Oceanic and Atmospheric Administration, Department of Commerce.