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hdf5-pde-data-loading
Patterns for loading PDE simulation datasets (PDEBench, PhiFlow, JAX-CFD) from HDF5 files. Handles layout detection (single tensor vs separate variables), spatial/temporal downsampling, multi-variable systems, HuggingFace and DaRUS data sources, and efficient PyTorch DataLoader creation. Use when preparing PDE data for neural operator training.
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# HDF5 PDE Data Loading
## When to Use
- Loading PDE simulation datasets stored in HDF5 format
- PDEBench, PhiFlow, JAX-CFD, or custom simulation outputs
- Multi-variable systems (density, velocity, pressure, etc.)
- Need to downsample spatial/temporal dimensions for memory
## HDF5 Layout Detection
PDE datasets come in two common layouts:
### Layout 1: Single "tensor" dataset
```python