Digital Twin Simulation Data for Old City Renovation and Heritage Conservation

Multi-source heritage building records, 3D reconstruction metrics, and environmental monitoring variables support a Digital Twin–based simulation framework. The dataset includes predictive analysis outputs, risk assessment indicators, and scenario-based conservation evaluation data. It was authored by Muhammad Shoaib and last updated on April 22, 2026.

Use Cases

• Validate digital twin simulation frameworks based on multi-source heritage building records.
• Perform predictive analysis for building conservation based on environmental monitoring variables.
• Conduct risk assessment for heritage sites based on provided risk indicators.
• Evaluate conservation scenarios based on scenario-based evaluation data.

Strengths

• Data is organized for modeling, validation, and decision-support research as stated in the description.
• Released under a permissive CC-BY-4.0 license.
• Includes multiple data types such as 3D metrics, environmental variables, and predictive outputs.

Limitations

• The dataset is very small at 186.1 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Muhammad Shoaib via figshare

Collection Method

Likely compiled from multi-source heritage building records and simulation outputs.

Freshness

Last updated 2026-04-22 10:09:25; freshness should be verified.