| --- |
| license: mit |
| language: |
| - en |
| pretty_name: Cascadia K Matrix |
| size_categories: |
| - 100K<n<1M |
| configs: |
| - config_name: default |
| data_files: |
| - split: cascadia_K_matrix |
| path: |
| - cascadia_K_matrix.h5.part0 |
| - cascadia_K_matrix.h5.part1 |
| - cascadia_K_matrix.h5.part2 |
| --- |
| # Cascadia K Matrix Dataset |
|
|
| Single HDF5 file split for Hugging Face (hard limit: 500 GB SI per file). |
|
|
| This is a dataset to be used with the AutonomousOED package: [Zenodo](https://zenodo.org/records/21820020), [GitHub](https://github.com/s769/AutonomousOED) |
|
|
| This dataset can be used for reproducing results in the paper: |
|
|
| Sreeram Venkat, Stefan Henneking, and Omar Ghattas. |
| "Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design." arXiv preprint [arXiv:2604.08812](https://doi.org/10.48550/arXiv.2604.08812) (2026). To appear in Proceedings of SC'26. |
|
|
| Below are the instructions to reassemble the dataset before using it in the application. |
|
|
| ## Reassemble |
|
|
| ```bash |
| cat cascadia_K_matrix.h5.part* > cascadia_K_matrix.h5 |
| ``` |
|
|
| Parts are not valid HDF5 until concatenated in order (`part0`, `part1`, ...). |
|
|
| ## Contents |
|
|
| - Original file: `cascadia_K_matrix.h5` |
| - Dataset: `/K_matrix` — shape `(252000, 252000)`, `float64`, chunks `(420, 420)` |
