The dataset includes the Stanford Bunny, Elephant, and Pony models, which have been processed with added noise to adapt to the proposed algorithm. Additionally, the data encompasses point clouds of residential areas obtained by LIDAR, also subjected to noise addition. This comprehensive dataset, with its various models and point clouds, serves to thoroughly test and validate the robustness and effectiveness of the proposed algorithm in handling noisy data from different sources.