Tuni2025 Datasets for GNSS - Galileo Spoofing Selected Scenarios are a curated subset of high-resolution GNSS spoofing measurement data recorded in a controlled laboratory environment at Tampere University, Finland. The dataset supports research in spoofing detection, RF signal analysis, and GNSS receiver security. Each scenario contains: A raw I/Q measurement file (approx. 30 GB, interleaved 32-bit float format) A scenario-specific README file documenting signal setup, spoofing conditions, and usage notes This release includes 8 Galileo E1 signal scenarios, covering both spoofed and authentic (clear-sky) cases, true spoofer position attacks, and varying numbers of spoofers. The data was collected using a USRP-2945R software-defined radio front-end at 50 MSps sampling rate, with spoofing signals generated using a Spectracom GSG-6 GNSS simulator where applicable. 📁 Included Scenarios C-1 Galileo Static No Multipath True Position – Clear-sky (no spoofers) - Version-v1SS-1 Galileo Static No Multipath True Position – 1 Spoofer - Version-v2SS-3 Galileo Static No Multipath True Position – 3 Spoofers - Version-v3SS-5 Galileo Static No Multipath True Position – 5 Spoofers - Version-v11C-3 Galileo Static No Multipath True Position – Clear-sky (no spoofers) - Version-v13SS-11 Galileo Static Multipath True Position – 1 Spoofer - Version-v7SS-12 Galileo Static Multipath True Position – 2 Spoofers - Version-v8SS-13 Galileo Static Multipath True Position – 4 Spoofers - Version-v9 🔬 Intended Use This dataset is intended for use in: GNSS spoofing detection research and algorithm development RF fingerprinting and signal classification GNSS receiver performance benchmarking Machine learning and statistical analysis of spoofed GNSS signals 🛰️ Signal Type Galileo E1 only 🛠️ Equipment Used USRP-2945R software-defined radio front-end Spectracom GSG-6 GNSS signal simulator (used in spoofing scenarios only) 📂 File Format .bin: Raw I/Q measurement (interleaved 32-bit float) .pdf: Scenario-specific README file 📚 Citation If using this dataset, please cite this: 🔄 Additional Data Other scenarios and dataset extensions (e.g., multipath, dynamic spoofing, false position) may be provided upon request by the authors.