Loading...
Loading...
Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,003 datasets
Plazi provides digitized taxonomic treatments from the journal article 'New species and new records of the spider genus Otacilia Thorell, 1897 (Araneae, Corinnidae) from Southeast Asia'. The original article was published in Revue Suisse De Zoologie in 2014. The dataset is based on the Zenodo record with DOI 10.5281/zenodo.28657.
Olympic Mountains Experiment (OLYMPEX) campaign data contains vertical profiles of cloud and aerosol properties measured by a multi-wavelength lidar aboard the NASA ER-2 aircraft. The dataset includes extinction profiles, layer optical depth, lidar ratio, and aircraft parameters from November 9 to December 15, 2015. It is produced by NASA as part of the Global Precipitation Mission (GPM) ground validation effort.
Over 1,500 atmospheric profiles were collected during the CPEX-AW field campaign from August 24 to September 28, 2021. This dataset contains measurements of pressure, temperature, humidity, wind speed, and wind direction from DFM-09 radiosondes. It was produced by a joint NASA and ESA effort to calibrate and validate the ADM-Aeolus satellite wind lidar.
Canopy height and elevation data products derived from airborne LiDAR collected over 90 sites on Borneo in late 2014. The dataset covers approximately 100,000 hectares of forested land in Kalimantan, Indonesia. It was produced by NASA as part of an effort to improve Indonesia's national forest monitoring system.
NASA's dataset provides high-resolution canopy height estimates for mangrove forests in the Zambezi Delta, Mozambique. The data were derived from three separate canopy height models using airborne Lidar, stereophotogrammetry with WorldView 1 imagery, and In-SAR techniques with TanDEM-X imagery. Estimates cover the period from October 2011 to May 2014.
NASA's dataset provides high-resolution LiDAR point cloud data collected over mangrove forests in Mozambique's Zambezi River Delta in May 2014. The data is organized into 144 individual 1-by-1-kilometer tiles. This collection supports detailed analysis of coastal vegetation structure and terrain.
World Bank Group trade data for Iran, Islamic Republic, last updated on 2026-04-28. The dataset is part of the Transparency in Trade Initiative, which aims to provide free access to data on country-specific trade policies to support development goals. It is available in CSV format under a CC-BY-4.0 license.
Iran, Islamic Rep. external debt data from the World Bank's Quarterly External Debt Statistics and Quarterly Public Sector Debt databases. The dataset provides a detailed picture of debt stocks and flows for developing countries, with data gathered from national statistical organizations, central banks, and multilateral institutions. It was last updated on 2026-04-28.
Iran, Islamic Republic of data from the World Bank's portal, aiming to shed light on the country's technology base. The dataset includes indicators on research and development, scientific publications, high-technology exports, royalty fees, and patents. It was last updated on 2026-04-28 and is sourced from organizations including UNESCO, the U.S. National Science Board, and the World Intellectual Property Organization.
World Bank Group data on public sector performance for Iran, Islamic Republic. The dataset likely contains staff assessments of economic management, structural policies, social inclusion, and public sector institutions, along with IMF government finance statistics and tax policy indicators. It was last updated on 2026-04-28 03:53:41.408899.
World Bank Group data aggregates indicators on private markets and trade for Iran. The dataset likely contains metrics on private infrastructure investment, enterprise conditions, business regulations, and international trade flows. It was last updated on 2026-04-28 and is provided under a CC-BY-4.0 license.
Alana Lutz created a dataset of 3,972 highwall segments from surface coal mining in Central Appalachia. The data was generated using a LiDAR-based remote sensing workflow on USGS 3D Elevation Program data across 55 counties in Kentucky, West Virginia, and Virginia. It includes polygon geometries and attributes for estimating reclamation costs and was last updated in May 2026.
Column-weighted carbon dioxide concentration data retrieved by the Atmospheric Environmental Monitoring Satellite (AEMS/DQ-1). The dataset includes high-precision XCO2 measurements from the ACDL lidar payload, with validation involving 170 overpasses for DQ-1 and 91 for OCO-2. The data was last updated on 2026-05-12.
January 1 through February 26, 2020 data contains Doppler velocity and backscatter intensity measurements collected by the Stony Brook University Doppler LiDAR. This dataset was produced for the multi-year Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign, which studied snowstorm formation and evolution along the U.S. Atlantic Coast from 2020 to 2023. It is provided by the National Aeronautics and Space Administration in netCDF-4 format.
OctoSense is a time-synchronized, calibrated multi-sensor driving dataset. It comprises 371 sequences totaling 59.0 hours and 2,474 km of driving across urban, suburban, and rural areas on Long Island and in Philadelphia, covering sunrise, daytime, sunset, and nighttime conditions. The dataset, created by anthonytec2, includes synchronized stereo RGB, stereo event cameras, infrared, Ouster LiDAR, two IMUs, GPS, CAN data, and ground truth annotations.
The Bagmati–Nakkhu confluence area in Lalitpur Metropolitan City, Nepal, is the focus of this dataset. It contains a 0.5 m resolution UAV-derived Digital Elevation Model and RTK-surveyed flood mark points from a 2024 flood event. The data was generated by Rishav Khatiwada for a study submitted to the ISPRS International Journal of Geo-Information.
Gatorsense/Muuflgulfport Release 01 is an initial dataset release from the University of Florida. It includes hyperspectral and lidar data, ground spectra, lab spectra, and ground truth for emplaced targets and ground cover classes. The dataset was authored by Alina Zare.
NASA's dataset provides aboveground biomass estimates for mangrove forests in Mozambique's Zambezi River Delta. Estimates derive from field plot measurements taken in 2012-2013 and high-resolution airborne LiDAR canopy surveys from 2014. The dataset includes plot-level biomass and a canopy height model for the delta region.
NASA's dataset provides geospatial estimates of forest aboveground biomass (AGB) for the Atchafalaya and Terrebonne Basins in Louisiana. The data were generated by applying a machine learning regression model, trained on in-situ plot data from 2015 and 2021, to airborne AVIRIS-NG hyperspectral and UAVSAR radar mosaics. The final product consists of cloud-optimized GeoTIFF maps derived from these combined remote sensing sources.
Italian regional polygonal vector data shows the territorial extent and availability of cartographic and aerophotogrammetric datasets. The map includes sheets from the 2005 edition of the Regional Technical Charter at scales from 1:5,000 to 1:50,000, orthophoto coverage from 2005, 2012, and 2024 campaigns, and regional LiDAR surveys from 2005 and 2008. The data is provided by the Agenzia per l'Italia Digitale via the eu_open_data platform.