---
license: cc-by-sa-4.0
DOI: https://doi.org/10.5281/zenodo.21225461
tags:
- 5g
- wireless-networks
- vehicular-networks
- simulation
- sumo
- omnetpp
- simu5g
---

# NeversNet5G

NeversNet5G is a city-scale 5G NR vehicular network dataset generated through
SUMO and Simu5G/OMNeT++ co-simulation over the real urban road network of
Nevers, France. The release contains processed per-UE event-level CSV files,
not the raw OMNeT++ `.vec`/`.sca` outputs.

## Release Contents

- `data/`: 716 per-UE metric CSV files, grouped by scenario part.
- `configs/`: OMNeT++/Simu5G configuration files used for the scenario. The
  released `omnetpp.ini` is trimmed to the NeversNet5G scenario and transition
  configs; generic Simu5G examples from the development workspace are omitted.
- `metadata/`: selected gNodeB/OpenCellID records and UE mapping files.
- `scripts/`: available scripts for figure generation and dataset inspection.
- `manifest.csv`: file-level manifest for all released per-UE CSV files.
- `DATA_DESCRIPTION.md`: dataset schema, units, and usage notes.
- `CITATION.cff`: citation metadata.
- `LICENSE`: dataset license and attribution notes.

## Dataset Summary

| Property | Value |
|---|---:|
| Released data files | 716 per-UE CSV files |
| Total rows | 242,304,261 |
| Approximate CSV size | 26.4 GiB |
| Simulation duration | approximately 1,470 s |
| Restored UE trajectories | 390 |
| Maximum concurrent UEs | 171 |
| gNodeBs | 19 |
| Canonical schema | up to 23 columns |
| Radio/protocol metric columns | 15 |

The raw OMNeT++/Simu5G vector and scalar outputs exceed 200 GB and are not
included in this release. This archive provides the processed per-UE event-level
CSV files used in the NeversNet5G dataset paper, together with configuration and
metadata files documenting their generation.

## Data Organization

```text
data/
  part1/      119 files
  part1_5/     52 files
  part2/      171 files
  part2_5/     50 files
  part3/      171 files
  part3_5/     80 files
  part4/       73 files
```

Files are named:

```text
<part>_ue_<id>_metrics.csv
```

Example:

```text
part2_ue_047_metrics.csv
```

## Important Note On Missing Values

Missing values in the CSV files are structural. They are not random missing
measurements and are not failed simulator output. OMNeT++/Simu5G logging is
event-driven: each row corresponds to a simulator event, and only metrics emitted
by that event are populated. Users who need dense time-aligned matrices should
apply a documented downstream alignment, interpolation, or forward-fill step
appropriate to their task.

## Recommended Citation

Use the citation metadata in `CITATION.cff`. Replace the DOI field with the final
Zenodo DOI after publication.

## License And Attribution

The dataset is released under Creative Commons Attribution-ShareAlike 4.0
International (CC BY-SA 4.0). The gNodeB metadata is derived from OpenCelliD
records and must retain OpenCelliD attribution.