"GNSS- R DDM dataset"

"This dataset release provides real-world spaceborne GNSS-R delay\u2013Doppler maps (DDMs) collected by the Tianmu-1 (TM-1) satellite and curated to support research on radio-frequency-interference (RFI) anomaly detection and GNSS-R quality control. The DDM samples are organized into a three-class taxonomy\u2014clean, suspected, and definitive\u2014reflecting DDM structural integrity and expected usability in downstream applications. The dataset includes predefined splits to enable reproducible training and evaluation, and it supports studies of model robustness and generalization across varying acquisition conditions and GNSS constellations. By making these labeled DDMs publicly available, we aim to facilitate the development, benchmarking, and comparison of machine-learning and statistical methods for detecting and characterizing RFI-contaminated observations, as well as promoting transparent and repeatable experimentation in operational GNSS-R data reliability assessment."