Smart City engine profiles v4.4.0 + v4.5.0

Synthetic IoT dataset generator for research

Choose the frozen v4.4.0 reproduction profile or the current v4.5.0 harmonic-capable profile explicitly for every run. Earlier domain records remain visible while their generators are audited.

Generate a dataset Browse research topics Cite Zenodo R12
Explicit v4.4.0 / v4.5.0 selection· Up to 10,000 rows / dataset· Seed-reproducible· Dataset-level licence· Citable records
Current · v4.5.0

Smart City & Public Spaces — flagship reference engine

A normative, specification-driven 22-stage pipeline for urban public spaces, deterministic and seed-reproducible in the tested reference environment from a decimal master_seed, emitting a 64-column CSV under a published data-dictionary contract.

  • UTCI thermal stress. Operational polynomial over air/radiant temperature, wind, and vapour pressure.
  • Air quality. Single-box PM2.5 / NO₂ transport with rolling 24-hour exposure.
  • Occupancy. Non-homogeneous Poisson arrivals + dwell-time occupancy reconstruction.
  • Acoustics. Energy-sum LAeq from traffic and pedestrian sources.
  • Compound risk. Thermal / air / noise / crowding → overall action level.
  • Reproducible. SHA-256 named-substream seeding; verified against a golden reference.
Explore Smart City datasets Read the v4.5.0 spec → Copy a citation

Frozen v4.4.0 evidence: R12 · DOI 10.5281/zenodo.21580464 · v4.5.0 evidence counter: R13 · evidence chain

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Public generation — available

Smart City & Public Spaces v4.4.0 and v4.5.0 are both available through one maintained core. v4.4.0 locks the harmonic extension to zero; v4.5.0 supports it explicitly.

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Earlier domains — generation paused

Smart Home, Predictive Maintenance, Medical IoT, IIoT Network, and Connected Vehicle records remain browseable for continuity. Their engines are experimental and unavailable for new public runs pending domain-specific audit.

Generate a Dataset

Configure one scenario, then choose exactly which engine profile will generate and label the artifacts.

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3 complimentary generations · one-time free 250-credit reproducibility allocation

How IoTSyn Works

Transparent, reproducible data generation grounded in established mathematical frameworks.

1

Configure the Reference Run

Set the row count, master seed, location, timing, capacity, environmental intensity, and optional event controls, then choose v4.4.0 or v4.5.0 explicitly.

2

Physics-Based Generation

The 22-stage pipeline combines solar geometry, urban meteorology, NHPP arrivals, mass-balance air quality, energy-domain acoustics, UTCI, and a multi-hazard decision layer.

3

Download & Cite

Download the canonical CSV and its provenance sidecars. Each public record preserves the engine version, seed, licence, validation state, and citation formats.

Smart City shared-core model preview

Air quality — exact one-step box-model update

C(t+Δt) = C_ss + (C(t) − C_ss)·exp(−λΔt)

Occupancy — non-homogeneous Poisson arrivals

N(t, t+Δt) ~ Poisson(∫ λ(u) du)

Environmental noise — energy-domain composition

L_Aeq = 10·log₁₀(Σ 10^(Lᵢ/10))

Wind field — Weibull quantile from Gaussian copula

v = λ·[−ln(1 − Φ(z))]^(1/k)

Compound priority — exposure-weighted severity

P = H·log₁₀(1 + person-minutes / E_ref)

Reproducibility — named random substreams

seed_stream = SHA-256(master_seed ∥ stream_name)
See complete methodology with all equations →

📄 Technical Report

Read the current v4.5.0 data contract, version compatibility rules, validation requirements, and v4.4.0 null-extension guarantee.

Read the v4.5.0 specification →

📦 Public Dataset Repository

Generated datasets are periodically published to IoTDataset.com for direct browsing and download.

Visit IoTDataset.com →