dataset card

README.md

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+---
+license: cc-by-4.0
+tags:
+- turbulence
+- computational-fluid-dynamics
+- direct-numerical-simulation
+- navier-stokes
+- scientific-machine-learning
+pretty_name: 'TIDE - helical_re86_retune2_256_fp64'
+---
+
+# TIDE - `helical_re86_retune2_256_fp64`
+
+One configuration of **TIDE** (Turbulent Incompressible DNS Ensembles): a 256^3
+fp64 direct numerical simulation of the incompressible Navier-Stokes equations,
+shipped as independent realizations and released only after passing a fixed
+acceptance standard of statistical gates and equation-level residual checks.
+
+- **Index of all configurations:** https://huggingface.co/datasets/ydai17/TIDE
+- **Code:** https://github.com/Dyloong1/TIDE-dataset-benchmark
+- **DOI record:** https://doi.org/10.5281/zenodo.21589489
+
+```bash
+huggingface-cli download ydai17/TIDE-helical_re86_retune2_256_fp64 --repo-type dataset \
+    --local-dir ./tide-data/corpus/helical_re86_retune2_256_fp64.zarr
+```
+
+```python
+import zarr
+z = zarr.open("./tide-data/corpus/helical_re86_retune2_256_fp64.zarr", mode="r")
+u = z["u"][0]   # (3, 256, 256, 256) velocity of the first frame
+```
+
+Each store holds velocity `[N,3,256^3]`, pressure `[N,256^3]`, the optional
+scalar/buoyancy channel, and per-frame `t`, `k_max_eta`, `seed`. Fields are
+computed in fp64 and stored in fp32; frames are exported every 0.05 T_L.
+Data under CC-BY-4.0.