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README.md
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- sumo
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- omnetpp
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- simu5g
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- sumo
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- omnetpp
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- simu5g
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---
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# NeversNet5G
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NeversNet5G is a city-scale 5G NR vehicular network dataset generated through
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SUMO and Simu5G/OMNeT++ co-simulation over the real urban road network of
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Nevers, France. The release contains processed per-UE event-level CSV files,
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not the raw OMNeT++ `.vec`/`.sca` outputs.
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## Release Contents
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- `data/`: 716 per-UE metric CSV files, grouped by scenario part.
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- `configs/`: OMNeT++/Simu5G configuration files used for the scenario. The
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released `omnetpp.ini` is trimmed to the NeversNet5G scenario and transition
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configs; generic Simu5G examples from the development workspace are omitted.
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- `metadata/`: selected gNodeB/OpenCellID records and UE mapping files.
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- `scripts/`: available scripts for figure generation and dataset inspection.
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- `manifest.csv`: file-level manifest for all released per-UE CSV files.
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- `DATA_DESCRIPTION.md`: dataset schema, units, and usage notes.
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- `CITATION.cff`: citation metadata.
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- `LICENSE`: dataset license and attribution notes.
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## Dataset Summary
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| Property | Value |
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|---|---:|
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| Released data files | 716 per-UE CSV files |
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| Total rows | 242,304,261 |
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| Approximate CSV size | 26.4 GiB |
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| Simulation duration | approximately 1,470 s |
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| Restored UE trajectories | 390 |
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| Maximum concurrent UEs | 171 |
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| gNodeBs | 19 |
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| Canonical schema | up to 23 columns |
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| Radio/protocol metric columns | 15 |
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The raw OMNeT++/Simu5G vector and scalar outputs exceed 200 GB and are not
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included in this release. This archive provides the processed per-UE event-level
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CSV files used in the NeversNet5G dataset paper, together with configuration and
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metadata files documenting their generation.
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## Data Organization
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```text
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data/
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part1/ 119 files
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part1_5/ 52 files
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part2/ 171 files
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part2_5/ 50 files
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part3/ 171 files
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part3_5/ 80 files
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part4/ 73 files
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```
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Files are named:
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```text
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<part>_ue_<id>_metrics.csv
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```
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Example:
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```text
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part2_ue_047_metrics.csv
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```
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## Important Note On Missing Values
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Missing values in the CSV files are structural. They are not random missing
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measurements and are not failed simulator output. OMNeT++/Simu5G logging is
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event-driven: each row corresponds to a simulator event, and only metrics emitted
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by that event are populated. Users who need dense time-aligned matrices should
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apply a documented downstream alignment, interpolation, or forward-fill step
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appropriate to their task.
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## Recommended Citation
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Use the citation metadata in `CITATION.cff`. Replace the DOI field with the final
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Zenodo DOI after publication.
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## License And Attribution
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The dataset is released under Creative Commons Attribution-ShareAlike 4.0
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International (CC BY-SA 4.0). The gNodeB metadata is derived from OpenCelliD
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records and must retain OpenCelliD attribution.
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