Research data topics

Synthetic IoT datasets for research and machine learning

IoTSyn provides documented synthetic data across six IoT domains. Each public record keeps its own URL, generation context, licence metadata, and citation guidance.

Research scope

Use these topic pages to find the right model family before opening an individual generated record or configuring a new dataset.

Smart City, indoor sensing, industrial systems, health, networks, and vehicle telemetry

Dataset-level provenance, citation guidance, and download links

The six domains at a glance

Each domain has its own column contract and its own generative models. Column counts below are read from the generators themselves.

Domain Columns Core models
Smart City & Public Spaces 64 Solar geometry, Meteorology, Thermal comfort, Air quality Open →
Smart Home 8 Indoor temperature, Outdoor driver, Humidity, Carbon dioxide Open →
Predictive Maintenance 14 Degradation, Vibration, Coupled signals, Remaining useful life Open →
Medical IoT 12 Heart rate, Blood pressure, Glucose and insulin, Acuity scoring Open →
IIoT Network 16 Protocols, Device roles, Attack scenarios, Traffic process Open →
Connected Vehicle 16 Driving state, Position, Powertrain, Events Open →

Scope and limits

What is currently established

  • — The generator runs and emits its declared column contract.
  • — Output is deterministic for a given domain, parameter set and seed.
  • — Scientific audit of its models, units, temporal behaviour and event semantics is still outstanding.

What it does not establish

  • — Site realism, or transfer to any specific real deployment.
  • — Calibration against a named site, sensor network, fleet or population.

Read the full research record →

Browse all public generated records

Each card links to the original citable record. IoTSyn keeps that URL, its dataset file, and its citation guidance unchanged.

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