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---
license: cc-by-nc-4.0
language:
- en
tags:
- cfd
- sciml
pretty_name: Shock-Induced Droplet Aerobreakup (SIDA)
size_categories:
- 10B<n<100B
---
# Description:
This Dataset includes 128 trajectories of time-dependent Shock-Induced Droplet Aerobreakup (SIDA). Using a Finite
Volume solver, we solve the two-dimensional (2D) axisymmetric compressible Euler equations for this multiphase problem.
* dataset_name: Shock-induced Droplet Aero-breakup,
* PDE: 2D axisymmetric compressible Euler equations,
* created: 08-2025,
* time_dependent: true,
* include_initial_state: true,
# Spatiotemporal Information:
* num_trajectories: 128,
* num_time_steps: 61,
* num_channels: 6,
* channel_names: ["density", "pressure", "velocity_x", "velocity_y", "schlieren", "vorticity"],
* spatial_dimensions: 2,
* spatial_grid_size: [128, 256],
* dx=dy: 1.171875000e-05
# Boundary conditions:
* west: Dirichlet,
* east: ZeroGradient,
* south: Axisymmetric,
* north: ZeroGradient
> Two separet files, "train.h5" and "test.h5", are provided. The former includes 96 trajectories for training and validation; the latter covers the 32 remaining trajectories for inference only.
> Refer to the "metadat_SIDA.json" file for more details on the dataset.
> A sample Out-of-Distribution, "OOD.h5", is added as well, which covers a higher shock Mach number across 32 trajectories. For more details, refer to "metadata_SIDA_OOD.json".
# Download:
The dataset can be downloaded, e.g., via `huggingface-cli download`.
```bash
huggingface-cli download FluidVerse/SIDA --repo-type dataset --local-dir .
```
# Extra Data Generation:
Use the instructions inside the generation script, "generator.py", for creating larger datasets. This script runs the solver specified in the "metadata_SIDA.json" file.
# Strict Licensing Notice:
This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) and is exclusively for non-commercial research and educational purposes. Any commercial use—including, but not limited to, training machine learning models, developing generative AI tools, creating software products, or other commercial R&D applications—is strictly prohibited. |