datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gnss-jamming-spoofing-detection
GNSS Jamming & Spoofing Detection Dataset
A physics-informed synthetic dataset for detecting GPS/GNSS cyber-attacks
(Jamming and Spoofing) from satellite-signal features. Built for the
GNSS Guardian project — Introduction to Data Science final project.
Overview
14,850 samples across 450 scenarios × 33 time-steps each
3 balanced classes: Normal / Jamming / Spoofing (4,950 each)
26 columns: multi-constellation signal features + attack metadata + text descriptions… See the full description on the dataset page: https://huggingface.co/datasets/Omrilevi123/gnss-jamming-spoofing-detection.gnss-nmea-jammertest25
GNSS NMEA Jammertest 2025
Raw receiver telemetry collected during the Jammertest 2025 campaign, used in the paper "GNSS Jamming and Spoofing Detection Using NMEA Data" (ICL-GNSS 2026).
Companion code (preprocessing, feature engineering, model training/evaluation) is available at: https://github.com/simula/icl-gnss26
Data Collection
The data was collected over five days in September 2025 on Andøya Island, Norway, across three test sites. The experimental plan is… See the full description on the dataset page: https://huggingface.co/datasets/SimulaMet/gnss-nmea-jammertest25.gnss_dependencygnss_interference