Triad Phase Dynamics in 2D Turbulence: Simulation Data and Scripts (2026)

3.0 GB of simulation data and scripts supporting a 2026 study on cascade direction in two-dimensional turbulence. The data includes post-processed time-series of triad phases, on-the-fly statistics, and code for figure reproduction. Santiago Benavides published this dataset on figshare under a CC-BY-4.0 license.

Use Cases

• Reproducing figures from the 2026 study based on the provided Python and Jupyter notebook scripts.
• Analyzing triad phase statistics and histograms based on the on-the-fly gathered data.
• Calculating autocorrelations and probability density functions (PDFs) for the 'noise' variable based on the post-processed time-series data.
• Validating turbulence simulation models using the included parameter files and run directories.

Strengths

• Includes the main simulation run directory with code and parameter files for reproducibility.
• Provides post-processed data (*data_v2.npy) from large (>40 GB) time-series simulations, making key results accessible.
• Contains specific scripts (Figures.py/Figures.ipynb) to regenerate the study's figures.

Limitations

• The full raw simulation dataset (over 40 GB) is not included, only post-processed summaries.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.

Provenance

Source

figshare, authored by Santiago Benavides.

Collection Method

Generated from numerical simulations of two-dimensional turbulence.

Time Range

Associated with a 2026 publication.

Freshness

Last updated 2026-05-04 17:38:59.

Geography

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