Convective CO2 Mixing Simulation Data with Dissipation and Flux Metrics

189.2 MB of data supporting the manuscript 'How modeling assumptions shape predictions of convective mixing of carbon dioxide' by Marco De Paoli and Sergio Pirozzoli. The dataset includes mean dissipation, flux, degree of mixing, and interface position from simulations. Associated Matlab and Python scripts are provided to access the data.

Use Cases

• Validate convective mixing models based on the provided mean dissipation and flux data.
• Analyze the degree of mixing and interface position to understand CO2 plume behavior.
• Reproduce or extend the study's findings using the included Matlab and Python scripts.

Strengths

• Data is directly linked to a specific, peer-reviewed scientific manuscript.
• Includes 189.2 MB of simulation outputs and associated access scripts.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

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

Provenance

Source

Marco De Paoli

Collection Method

Data from simulations presented in the associated manuscript.

Freshness

Last updated 2026-04-25 08:20:22; freshness should be verified.