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+---
+layout: post
+title: "Combustion data"
+type: "Numerical / Combustion CFD"
+tldr: "Combustion data used for research in reactive flows
+order: 4
+---
+
+### Data index:
+   * [DLR turbulent jet diffusion methane-hydrogen flame](#zou-dataset)
+   * [BLASTNet](#blastnet-dataset)
+
+## DLR turbulent jet diffusion methane-hydrogen flame<a id="zou-dataset"></a>
+This database contains RANS CFD simulations of the DLR turbulent jet diffusion flame, a reference configuration for turbulent non-premixed combustion consisting of a methane/hydrogen/nitrogen fuel jet issuing into a coflowing air stream. Simulations were run in OpenFOAM (`reactingFoam`) using the standard k-ε turbulence model and the Eddy Dissipation Concept (EDC) for finite-rate chemistry, and were validated against experimental temperature profiles. The dataset comprises 400 CFD cases generated by varying the fuel-jet Reynolds number (11,000-20,000) and the hydrogen mass fraction (4%-22%), with velocity, temperature, pressure, and species fields sampled from each case and organized in tensor form for reduced-order and machine-learning modelling.
+
+Database available *coming soon*.
+
+## BLASTNet<a id="blastnet-dataset"></a>
+BLASTNet (Bearable Large Accessible Scientific Training Network-of-datasets) is an open, community-maintained collection of high-fidelity simulation data for fluid mechanics and combustion research, comprising several terabytes of turbulent and reacting-flow datasets used for turbulence closure modelling, spatio-temporal prediction, and inverse modelling. Data and pre-trained model weights are hosted on Kaggle, with accompanying code distributed via GitHub.
+
+[[Link to BLASTNet](https://blastnet.github.io/)]