Supply chain logistics data has been enriched with historical climate variables. The dataset was sourced from Kaggle and integrates climate data from Open-. The last update date and specific data volume are unknown.
Use Cases
- Assess climate-related supply chain disruptions based on historical climate variables
- Model logistics risk by integrating climate data with supply chain operations
- Identify vulnerable nodes in a supply network based on climate exposure
Strengths
- Integrates two distinct data domains: supply chain logistics and climate science.
- Focuses on a specific application: risk assessment for supply chains.
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.
Provenance
- Source
- Kaggle
- Collection Method
- Logistics data enriched with climate variables from Open-.