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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,664 datasets
The First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (CIRRUS 2) dataset contains Cloud Lidar System (CLS) data collected by NASA's ER-2 airplane. The instrument recorded cloud altitudes, the number of cloud layers, and boundary heights for up to 5 layers across four calibrated data channels at 532nm and 1064nm wavelengths. Data were collected during the second cirrus intensive field-observation period from November 13 to December 7, 1991, in southeastern Kansas.
Lidar returned signal data from the First ISCCP Regional Experiment, designed to improve cloud and radiation models. The data includes background-subtracted raw signals with a minimum value of 0, a maximum value of 25600, and a scaling factor of 100. Four intensive field-observation periods were conducted between 1986 and 1992, combining satellite, airborne, and surface observations.
Cloud top and ground height calculations from the NASA ER-2 Cloud Lidar System during the First ISCCP Regional Experiment (FIRE) Cirrus field campaign. The data was collected by the National Aeronautics and Space Administration during an intensive observation period from October 13 to November 2, 1986. It was designed to improve understanding of cirrus cloud life cycles and their radiative properties for use in general circulation models.
Four intensive field-observation periods were conducted between 1986 and 1992 as part of the First ISCCP Regional Experiments (FIRE). This data set contains images of cirrus clouds from the second cirrus IFO in southeastern Kansas in November and December 1991. The images consist of lidar backscatter and depolarization ratio data collected by a High Spectral Resolution Lidar (HSRL) in Coffeyville, Kansas.
LIDAR signal data from the First ISCCP Regional Experiment (FIRE) designed to improve cloud and radiation models. The dataset contains raw, background-subtracted signals from four intensive field observation periods between 1986 and 1992, focusing on cirrus and marine stratocumulus clouds. Data was collected by the National Aeronautics and Space Administration using coordinated satellite, airborne, and surface observations.
301 UAV images and ground measurements for 1,291 Valencia orange trees across two rootstock trials. Data includes 305 total files, with images captured under both partially sunny and overcast conditions on May 12, 2021, at a research farm in Fort Pierce, Florida. Ground measurements were collected in 2020 and 2021.
The OWM benchmark comprises 95 curated videos with motion annotations, sourced from Pexels under the Pexels License. It was proposed in the paper 'Envisioning the Future, One Step at a Time' and used to evaluate the MYRIAD model. The dataset was created by CompVis and last updated on 2026-04-10.
A 2012 airborne LiDAR survey covering approximately 75 square miles across the islands of Tutuila, Aunu'u, Ofu, Olosega, Ta'u, and Rose Atoll. The data was collected by GMR Aerial Surveys Inc. for the NOAA Office for Coastal Management, providing high-resolution elevation and intensity data with a nominal post spacing of 1.0 meter. The dataset includes classified points such as ground, water, and noise, and uses multiple vertical datums specific to each island.
Py123D is a unified library for multi-modal autonomous driving data, hosted on GitHub. The project is authored and maintained by kesai-labs under the Apache-2.0 license. It was last updated on 2026-05-19.
Ontario-based university researchers are listed with their work on connected vehicles, electric powertrains, and new materials. The dataset includes details on institution, researcher name, associated facilities, research areas, and funding. It is provided by the Government of Ontario and was last updated in March 2026.
Financial information reported by entities in Colombia's solidarity sector, supervised by the Superintendencia de la Economía Solidaria. The dataset covers reports from 2017 to the present, published by datos.gov.co.
USEFUL provides 10 synchronized sensor streams, including LiDAR, radar, RGB, thermal, SWIR, and polarimetric cameras, for autonomous vehicle perception research. It is specifically designed to advance perception in challenging conditions like night, glare, fog, and rain. The dataset includes accurate 3D and 2D bounding box annotations paired with GPS/INS ego-pose data.
A tabular dataset comparing a specific UAV navigation approach with recent studies. The 9.5 KB Excel file was authored by Gobinda Chandra Sarker and last updated on April 3, 2026. The platform tags suggest the data relates to obstacle avoidance and depth estimation for autonomous flight.
Francesc Serradó's dataset contains field, drone, and satellite data used to study how prescribed burns can trigger Diplodia shoot blight in pine forests. The dataset is a single XLSX file sized at 107.5 KB. It was last updated on April 3, 2026.
Disparity data from the Robotic Arm Camera on NASA's Phoenix Mars Lander. The dataset contains processed imaging operations data from the RAC instrument. It originates from the National Aeronautics and Space Administration and was last updated in March 2026.
HDX HAPI data for Iran provides standardized humanitarian indicators designed for interoperability from multiple sources. The dataset facilitates automated workflows and visualizations to support humanitarian decision making. It was last updated on 2026-03-17 by the HDX Humanitarian API Data organization.
Dumont d'Urville, Antarctica, hosts a ground-based Rayleigh-Mie lidar system measuring stratospheric temperature profiles above 30 km. The instrument, named LOANA, was developed through French-Italian collaboration and has been operational since 2006. It is part of a long-term monitoring program on human impacts on the Antarctic polar stratosphere initiated by France in 1989.
Supplying 10-day composite Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) anomalies for Iran, produced by Copernicus using VIIRS sensor data. The records track vegetation health and greenness to monitor agricultural drought impacts across the country. The data is delivered as geospatial rasters updated through March 2026.
12,598 annotated images of unmanned aerial vehicle swarms, preprocessed with a simulated monochrome near-infrared filter. The dataset contains 13 scenes and over 19 UAV types, with bounding box annotations in COCO format for a single 'uav' class. It was created by bnina-ayoub and last updated on Hugging Face in April 2026.
UK waters are covered by kriged density surfaces for kittiwake during the non-breeding season. The data was produced by the Joint Nature Conservation Committee using ESAS data. The dataset was last updated on 2026-04-14.