electricsheepafrica/nigerian_transport_and_logistics_bridge_tunnel_sensors

# Nigeria Transport & Logistics – Bridge & Tunnel Sensor Data

Structural vibration, strain, temperature, humidity, stress with anomaly flags.

- **[category]** Infrastructure & Environment
- **[rows]** ~120,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)

## Schema

| column | dtype |

|---|---| | timestamp | object | | structure_id | object | | structure_type | object | | vibration_mm_s | float64 | | strain_micro | float64 | | temp_c | float64 | | humidity_pct | float64 | | stress_mpa | float64 | | anomaly | bool |

## Usage

```python
import pandas as pd
df = pd.read_parquet('data/nigerian_transport_and_logistics_bridge_tunnel_sensors/nigerian_transport_and_logistics_bridge_tunnel_sensors.parquet')
df.head()
```

```python
from datasets import load_dataset
ds = load_dataset('electricsheepafrica/nigerian_transport_and_logistics_bridge_tunnel_sensors')
ds
```

## Notes

- Nigeria-specific parameters (fleets, roads, traffic, fuel prices)
- Time-of-day traffic effects and seasonal impacts where applicable
- Physical plausibility checks embedded during generation