Microconfined High-Pressure Transcritical Channel Flow Dataset

First comprehensive, open-source dataset carefully curated and structured for studying microconfined high-pressure transcritical fluid channel flows under various regimes. In particular, the dataset contains 18 direct numerical simulations of carbon dioxide at different bulk pressure and velocities confined between differentially-heated walls. For all cases, the thermodynamic conditions selected impose the fluid to undergo a transcritical trajectory across the pseudo-boiling region. The data collection comprises an array of physical quantities that enable comprehensive parametric analyses spanning laminar, transitional, and turbulent flow regimes. This data repository is poised to provide access to the detailed study and modeling of the complex physics observed in high-pressure transcritical fluid environments, especially those closely linked to improving microfluidics performance.The data is structured in a manner where individual cases are allocated in dedicated folders, facilitating in this way convenient access and data processing. Each case folder is structured in different FTT subfolders, which contain 10 snapshot files of the corresponding FTT uniformly spaced in time. Additionally, there is a README.txt file in each case folder that provides essential information about the individual case, such as (i) key independent parameters, (ii) dimensionless numbers, (iii) details on the calculation of the stretching factor in the y-direction, and (iv) the time advancement technique. The dataset files within the FTT subfolders are stored in the Hierarchical Data Format version 5 (h5), an open-source file format capable of handling complex and diverse data. There is also an associated xdmf file that contains data descriptions for these files, which can be visualized with, for example, the open-source software Paraview. Moreover, each case folder also includes a configuration file and a substances library file in YAML format. Likewise, there are C++ files in both .cpp and .hpp formats, allowing users to replicate the simulations for further investigation and/or verification. Finally, a post-processing script is supplied with the dataset, specifically designed to streamline the presentation of primary variables while concurrently computing derived quantities.