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Download Dataset

The LAMBDA dataset provides high-fidelity multi-modal data for low-altitude 6G intelligence. Download selected subsets from the table below, or access the complete archive on ScienceDB. Citation details are listed at the end.

RegionScenarioIDSensors
(RGB / Depth / LiDAR / IMU)
CSI DataDownload

Urban Area

Block11_bs_1_uav_z_traj1_bs_1_uav_z_trajLink
2_bs_2_uav_rand_traj2_bs_2_uav_rand_trajLink
21_bs_1_uav_z_traj1_bs_1_uav_z_trajLink
31_bs_1_uav_z_traj1_bs_1_uav_z_trajComing Soon
Square11_bs_1_uav_z_traj1_bs_1_uav_z_trajLink
21_bs_1_uav_z_traj1_bs_1_uav_z_trajLink
Skyscraper1-
2-
SuburbsSuburban11_bs_1_uav_z_traj1_bs_1_uav_z_trajComing Soon
Mountain11_bs_1_uav_z_traj1_bs_1_uav_z_trajComing Soon
CampusSJTU11_bs_1_uav_z_traj1_bs_1_uav_z_trajComing Soon

📝 Help Us Improve LAMBDA!

LAMBDA is completely open and free to use. To help us collect usage data, please take 10 seconds to fill out our survey.

*Note: Thank you for your support! Your feedback helps us evaluate the data's impact and continuously maintain the dataset.

Naming Conventions

  • x_bs: Prefix indicating the number of Base Stations (BS) capturing and transmitting data in the scenario.

  • x_uav: Prefix indicating the number of Drones (UAV) flying and collecting data.

  • z_traj: A fixed-altitude zig-zag path designed for uniform area coverage.

  • rand_traj: Continuous curvilinear trajectories generated via Markov Chains in 3D space, heavily used for testing dynamic and collaborative tracking.

Citation

If you use LAMBDA in your research, please cite the dataset:

@data{988310f495064882b09178cf9e21ac12,
title     = {LAMBDA},
author    = {Lin Zhou and Jianhua Mo},
year      = {2026},
month     = {May},
publisher = {Science Data Bank},
doi       = {10.57760/sciencedb.36052},
url       = {https://doi.org/10.57760/sciencedb.36052},
version   = {V1}
}