The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21679772

Howland, Chris (2023): Data supporting the article: Double-diffusive transport in multicomponent vertical convection. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21679772.v1

Dataset

• Classical Physics
• Physical Sciences

ablation, convection, glacier, salt water, turbulence, vertical ice faces

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Chris Howland

This dataset contains the results of simulations described in the Physical Review Fluids article "Double-diffusive transport in multicomponent vertical convection". The data is in the form of a zip containing self-explanatory Jupyter notebooks, which can also be found at the Github repository open_DDVC_data

This dataset contains the full data needed to run the notebooks from scratch, with simulation output contained in the folders Sc10 and Sc100 (and its subfolders) in HDF5 format.

• 2023-09-12 first online, published, posted

4TU.ResearchData

Notebooks: *.ipynb / Analysis package: *.py / Data files: *.h5

Double-diffusive transport in multicomponent vertical convection

University of Twente, Faculty of Science and Technology (TNW), Physics of Fluids (POF)