Datasets:
ts string | node_id int64 | module_id int64 | prn int64 | elevation float64 | azimuth float64 | snr float64 | system string |
|---|---|---|---|---|---|---|---|
2025-09-15 09:00:00.039 | 3,102 | 1 | 3 | 52 | 126 | 36 | GP |
2025-09-15 09:00:00.039 | 3,102 | 1 | 4 | 58 | 175 | 40 | GP |
2025-09-15 09:00:00.039 | 3,102 | 1 | 6 | 49 | 279 | 33 | GP |
2025-09-15 09:00:00.039 | 3,102 | 1 | 11 | 18 | 310 | 33 | GP |
2025-09-15 09:00:00.039 | 3,102 | 1 | 12 | 10 | 326 | 34 | GP |
2025-09-15 09:00:00.039 | 3,102 | 1 | 17 | 8 | 232 | 34 | GP |
2025-09-15 09:00:00.039 | 3,102 | 1 | 19 | 21 | 248 | 35 | GP |
2025-09-15 09:00:00.039 | 3,102 | 1 | 25 | 17 | 355 | 36 | GP |
2025-09-15 09:00:00.039 | 3,102 | 1 | 28 | 26 | 40 | 40 | GP |
2025-09-15 09:00:00.039 | 3,102 | 1 | 31 | 38 | 74 | 48 | GP |
2025-09-15 09:00:01.039 | 3,102 | 1 | 3 | 52 | 126 | 37 | GP |
2025-09-15 09:00:01.039 | 3,102 | 1 | 4 | 58 | 175 | 41 | GP |
2025-09-15 09:00:01.039 | 3,102 | 1 | 6 | 49 | 279 | 35 | GP |
2025-09-15 09:00:01.039 | 3,102 | 1 | 11 | 18 | 310 | 32 | GP |
2025-09-15 09:00:01.039 | 3,102 | 1 | 12 | 10 | 326 | 34 | GP |
2025-09-15 09:00:01.039 | 3,102 | 1 | 17 | 8 | 232 | 32 | GP |
2025-09-15 09:00:01.039 | 3,102 | 1 | 19 | 21 | 248 | 35 | GP |
2025-09-15 09:00:01.039 | 3,102 | 1 | 25 | 17 | 355 | 35 | GP |
2025-09-15 09:00:01.039 | 3,102 | 1 | 28 | 26 | 40 | 39 | GP |
2025-09-15 09:00:01.039 | 3,102 | 1 | 31 | 38 | 74 | 48 | GP |
2025-09-15 09:00:02.039 | 3,102 | 1 | 3 | 52 | 126 | 36 | GP |
2025-09-15 09:00:02.039 | 3,102 | 1 | 4 | 58 | 175 | 40 | GP |
2025-09-15 09:00:02.039 | 3,102 | 1 | 6 | 49 | 279 | 35 | GP |
2025-09-15 09:00:02.039 | 3,102 | 1 | 11 | 18 | 310 | 32 | GP |
2025-09-15 09:00:02.039 | 3,102 | 1 | 12 | 10 | 326 | 34 | GP |
2025-09-15 09:00:02.039 | 3,102 | 1 | 17 | 8 | 232 | 33 | GP |
2025-09-15 09:00:02.039 | 3,102 | 1 | 19 | 21 | 248 | 36 | GP |
2025-09-15 09:00:02.039 | 3,102 | 1 | 25 | 17 | 355 | 36 | GP |
2025-09-15 09:00:02.039 | 3,102 | 1 | 28 | 26 | 40 | 39 | GP |
2025-09-15 09:00:02.039 | 3,102 | 1 | 31 | 38 | 74 | 48 | GP |
2025-09-15 09:00:04.038 | 3,102 | 1 | 3 | 52 | 126 | 36 | GP |
2025-09-15 09:00:04.038 | 3,102 | 1 | 4 | 58 | 175 | 41 | GP |
2025-09-15 09:00:04.038 | 3,102 | 1 | 6 | 49 | 279 | 34 | GP |
2025-09-15 09:00:04.038 | 3,102 | 1 | 11 | 18 | 310 | 32 | GP |
2025-09-15 09:00:04.038 | 3,102 | 1 | 12 | 10 | 326 | 34 | GP |
2025-09-15 09:00:04.038 | 3,102 | 1 | 17 | 8 | 232 | 33 | GP |
2025-09-15 09:00:04.038 | 3,102 | 1 | 19 | 21 | 248 | 36 | GP |
2025-09-15 09:00:04.038 | 3,102 | 1 | 25 | 17 | 355 | 36 | GP |
2025-09-15 09:00:04.038 | 3,102 | 1 | 28 | 26 | 40 | 39 | GP |
2025-09-15 09:00:04.038 | 3,102 | 1 | 31 | 38 | 74 | 48 | GP |
2025-09-15 09:00:05.036 | 3,102 | 1 | 3 | 52 | 126 | 37 | GP |
2025-09-15 09:00:05.036 | 3,102 | 1 | 4 | 58 | 175 | 41 | GP |
2025-09-15 09:00:05.036 | 3,102 | 1 | 6 | 49 | 279 | 34 | GP |
2025-09-15 09:00:05.036 | 3,102 | 1 | 11 | 18 | 310 | 32 | GP |
2025-09-15 09:00:05.036 | 3,102 | 1 | 12 | 10 | 326 | 34 | GP |
2025-09-15 09:00:05.036 | 3,102 | 1 | 17 | 8 | 232 | 33 | GP |
2025-09-15 09:00:05.036 | 3,102 | 1 | 19 | 21 | 248 | 36 | GP |
2025-09-15 09:00:05.036 | 3,102 | 1 | 25 | 17 | 355 | 35 | GP |
2025-09-15 09:00:05.036 | 3,102 | 1 | 28 | 26 | 40 | 39 | GP |
2025-09-15 09:00:05.036 | 3,102 | 1 | 31 | 38 | 74 | 48 | GP |
2025-09-15 09:00:06.036 | 3,102 | 1 | 3 | 52 | 126 | 36 | GP |
2025-09-15 09:00:06.036 | 3,102 | 1 | 4 | 58 | 175 | 41 | GP |
2025-09-15 09:00:06.036 | 3,102 | 1 | 6 | 49 | 279 | 34 | GP |
2025-09-15 09:00:06.036 | 3,102 | 1 | 11 | 18 | 310 | 32 | GP |
2025-09-15 09:00:06.036 | 3,102 | 1 | 12 | 10 | 326 | 34 | GP |
2025-09-15 09:00:06.036 | 3,102 | 1 | 17 | 8 | 232 | 34 | GP |
2025-09-15 09:00:06.036 | 3,102 | 1 | 19 | 21 | 248 | 35 | GP |
2025-09-15 09:00:06.036 | 3,102 | 1 | 25 | 17 | 355 | 35 | GP |
2025-09-15 09:00:06.036 | 3,102 | 1 | 28 | 26 | 40 | 39 | GP |
2025-09-15 09:00:06.036 | 3,102 | 1 | 31 | 38 | 74 | 48 | GP |
2025-09-15 09:00:07.039 | 3,102 | 1 | 3 | 52 | 126 | 36 | GP |
2025-09-15 09:00:07.039 | 3,102 | 1 | 4 | 58 | 175 | 41 | GP |
2025-09-15 09:00:07.039 | 3,102 | 1 | 6 | 49 | 279 | 34 | GP |
2025-09-15 09:00:07.039 | 3,102 | 1 | 11 | 18 | 310 | 32 | GP |
2025-09-15 09:00:07.039 | 3,102 | 1 | 12 | 10 | 326 | 34 | GP |
2025-09-15 09:00:07.039 | 3,102 | 1 | 17 | 8 | 232 | 33 | GP |
2025-09-15 09:00:07.039 | 3,102 | 1 | 19 | 21 | 248 | 35 | GP |
2025-09-15 09:00:07.039 | 3,102 | 1 | 25 | 17 | 355 | 35 | GP |
2025-09-15 09:00:07.039 | 3,102 | 1 | 28 | 26 | 40 | 39 | GP |
2025-09-15 09:00:07.039 | 3,102 | 1 | 31 | 38 | 74 | 47 | GP |
2025-09-15 09:00:08.031 | 3,102 | 1 | 3 | 52 | 126 | 36 | GP |
2025-09-15 09:00:08.031 | 3,102 | 1 | 4 | 58 | 175 | 40 | GP |
2025-09-15 09:00:08.031 | 3,102 | 1 | 6 | 49 | 279 | 34 | GP |
2025-09-15 09:00:08.031 | 3,102 | 1 | 11 | 18 | 310 | 31 | GP |
2025-09-15 09:00:08.031 | 3,102 | 1 | 12 | 10 | 326 | 33 | GP |
2025-09-15 09:00:08.031 | 3,102 | 1 | 17 | 8 | 232 | 32 | GP |
2025-09-15 09:00:08.031 | 3,102 | 1 | 19 | 21 | 248 | 35 | GP |
2025-09-15 09:00:08.031 | 3,102 | 1 | 25 | 17 | 355 | 34 | GP |
2025-09-15 09:00:08.031 | 3,102 | 1 | 28 | 26 | 40 | 39 | GP |
2025-09-15 09:00:08.031 | 3,102 | 1 | 31 | 38 | 74 | 47 | GP |
2025-09-15 09:00:09.038 | 3,102 | 1 | 3 | 52 | 126 | 36 | GP |
2025-09-15 09:00:09.038 | 3,102 | 1 | 4 | 58 | 175 | 40 | GP |
2025-09-15 09:00:09.038 | 3,102 | 1 | 6 | 49 | 279 | 34 | GP |
2025-09-15 09:00:09.038 | 3,102 | 1 | 11 | 18 | 310 | 32 | GP |
2025-09-15 09:00:09.038 | 3,102 | 1 | 12 | 10 | 326 | 33 | GP |
2025-09-15 09:00:09.038 | 3,102 | 1 | 17 | 8 | 232 | 32 | GP |
2025-09-15 09:00:09.038 | 3,102 | 1 | 19 | 21 | 248 | 35 | GP |
2025-09-15 09:00:09.038 | 3,102 | 1 | 25 | 17 | 355 | 34 | GP |
2025-09-15 09:00:09.038 | 3,102 | 1 | 28 | 26 | 40 | 39 | GP |
2025-09-15 09:00:09.038 | 3,102 | 1 | 31 | 38 | 74 | 47 | GP |
2025-09-15 09:00:10.038 | 3,102 | 1 | 3 | 52 | 126 | 36 | GP |
2025-09-15 09:00:10.038 | 3,102 | 1 | 4 | 58 | 175 | 41 | GP |
2025-09-15 09:00:10.038 | 3,102 | 1 | 6 | 49 | 279 | 34 | GP |
2025-09-15 09:00:10.038 | 3,102 | 1 | 11 | 18 | 310 | 32 | GP |
2025-09-15 09:00:10.038 | 3,102 | 1 | 12 | 10 | 326 | 34 | GP |
2025-09-15 09:00:10.038 | 3,102 | 1 | 17 | 8 | 232 | 32 | GP |
2025-09-15 09:00:10.038 | 3,102 | 1 | 19 | 21 | 248 | 36 | GP |
2025-09-15 09:00:10.038 | 3,102 | 1 | 25 | 17 | 355 | 35 | GP |
2025-09-15 09:00:10.038 | 3,102 | 1 | 28 | 26 | 40 | 39 | GP |
2025-09-15 09:00:10.038 | 3,102 | 1 | 31 | 38 | 74 | 48 | GP |
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 available online at https://github.com/NPRA/jammertest-plan, describing the different attacks generated using various hardware configurations.
Data were collected from a small OpenWrt/Linux-based measurement node equipped with two Sierra 7455 receiver modules. For each module, data were collected via the standard NMEA 0183 interface, timestamped using the local node clock, and stored on disk.
Dataset Structure
This repo has two configs, both keyed by ts / node_id / module_id so rows can be joined across configs.
gps config (~1.33M rows, from RMC/GGA sentences)
| Column | Description |
|---|---|
ts |
Timestamp (local node clock, ms precision) |
node_id |
Measurement node identifier |
module_id |
Receiver module identifier (1 or 2, corresponding to the two antenna configurations) |
fix_type |
GPS fix quality/type code |
latitude / longitude |
Position, decimal degrees |
altitude |
Altitude, meters |
speed_knots |
Ground speed, knots |
course |
Heading, degrees |
satellites_used |
PRNs of satellites used in the position fix |
satellites_visible |
Number of satellites in view |
hdop / vdop / pdop |
Horizontal / vertical / position dilution of precision |
constellation config (~2.12M rows, from GSV sentences)
| Column | Description |
|---|---|
ts |
Timestamp (local node clock, ms precision) |
node_id |
Measurement node identifier |
module_id |
Receiver module identifier |
prn |
Satellite PRN / ID |
elevation / azimuth |
Satellite position, degrees |
snr |
Signal-to-noise ratio, dB-Hz |
system |
Constellation system code (e.g. GP = GPS, GL = GLONASS) |
Citation
@inproceedings{icl-gnss26-mekrache,
title={GNSS Jamming and Spoofing Detection Using NMEA Data},
author={Mekrache, Abdelkader and Evang, Jan Marius and Gomola, Alojz and Cicic, Tarik},
booktitle={International Conference on Localization and GNSS (ICL-GNSS 2026)},
year={2026}
}
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