IM to Carbon: Intelligent Manufacturing and Low-Carbon Transition Evidence

9.5 MB of research data investigating the relationship between intelligent manufacturing and industrial decarbonization. The dataset, authored by zc m and shared under CC-BY-4.0, was last updated on March 17, 2026. It likely contains evidence from supply chain networks to analyze how technological adoption drives low-carbon transitions.

Use Cases

• Model the causal link between intelligent manufacturing adoption and carbon emission reductions based on supply chain evidence.
• Analyze network effects within industrial supply chains for low-carbon transition pathways.
• Benchmark carbon emission intensities across different manufacturing sectors or regions.
• Train predictive models for industrial carbon outcomes based on technological and network variables.

Strengths

• Data is shared under a permissive CC-BY-4.0 license, facilitating reuse.
• File size of 9.5 MB indicates a manageable download and processing scale.
• Last update timestamp of 2026-03-17 suggests recent maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

figshare, author zc m.

Collection Method

Research data, likely gathered for the study referenced in the description.

Time Range

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Freshness

Last updated 2026-03 17:45:25.

Geography

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