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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ArrowInvalid
Message:      Mismatching child array lengths
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 87, in _generate_tables
                  pa_table = _recursive_load_arrays(h5, self.info.features, start, end)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 273, in _recursive_load_arrays
                  arr = _recursive_load_arrays(dset, features[path], start, end)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 294, in _recursive_load_arrays
                  sarr = pa.StructArray.from_arrays(values, names=keys)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 4294, in pyarrow.lib.StructArray.from_arrays
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Mismatching child array lengths

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Rayleigh-Taylor Instability (RTI) Boussinesq Regime Dataset

One-line description: Three-dimensional miscible Rayleigh-Taylor instability simulations in the incompressible Boussinesq regime, provided at effective 128^3 resolution by downsampling native 256^3 DNS trajectories.

Longer description: This dataset contains 3D direct numerical simulation (DNS) trajectories of Rayleigh-Taylor instability (RTI) in the incompressible Boussinesq regime. The native simulations were generated at 256^3 resolution with the TurMix3D code and are provided here in downsampled 128^3 form. The dataset is intended for scientific machine learning tasks such as ML surrogate modeling. The dataset is formatted as "The Well" benchmark format.

Associated paper: https://arxiv.org/abs/2606.01470

Original native-resolution 256^3 dataset: https://huggingface.co/datasets/pmukhop/rti-dataset-boussinesq_256x3

Stratified RTI dataset: https://huggingface.co/datasets/pmukhop/rti-stratified-data

Domain experts: Stefan S. Nixon, University of Cambridge; Romain Watteaux, CEA DAM; Stuart B. Dalziel, University of Cambridge.

Code or software used to generate the data: TurMix3D. TurMix3D reference: Romain Watteaux PhD thesis

About the data

This dataset contains five statistically independent three-dimensional DNS realizations of miscible RTI in the incompressible Boussinesq regime. The fields are:

  • normalized concentration field
  • normalized velocity components

The data are stored as HDF5 trajectory files and are organized into fixed train, validation, and test splits:

data/
  train/
    *.h5
  valid/
    *.h5
  test/
    *.h5
stats.yaml

Initial conditions

The five DNS trajectories use idealized, statistically independent initial interface perturbations. The initial displacement field is constructed in Fourier space by exciting modes in a narrow annular band around a mean wavenumber k0. The modes in this annulus are assigned random phases, and conjugate symmetry is enforced so that the inverse Fourier transform gives a real-valued physical interface perturbation.

The perturbation spectrum is controlled by three dimensionless parameters:

  • perturbation Reynolds number Re
  • spectral bandwidth B
  • initial steepness S

For the native 256^3 simulations, these parameters are {Re, B, S} = {7, 0.3, 0.1}. Each of the five DNS realizations uses a different random initialization of the perturbation spectrum.

These simulations are different from the RTI simulations in the Well. In particular, the Well RTI examples use radially log-normal profiles in Fourier space for initialization, whereas this dataset uses annular narrow-band perturbations with random phases.

Equations

The simulations are in the incompressible miscible Boussinesq regime with Atwood number At = 0.0625.

The concentration field is normalized. The velocity field is normalized by the free-fall velocity scale sqrt(At g H), with g = 0.02 and H the domain length.

The governing equations are:

∂t ρ + ∇ · (ρ u) = 0
∂t(ρ u) + ∇ · (ρ u u) = -∇p + ∇ · τ + ρ g
∇ · u = -κ ∇ · (∇ρ / ρ)

with deviatoric stress tensor

τ = ρ ν [ ∇u + (∇u)^T - (2/3)(∇ · u) I ]

where:

  • ρ is density
  • u is velocity
  • p is pressure
  • g is gravity
  • κ is molecular diffusivity
  • ν is kinematic viscosity
  • I is the identity matrix

Citation

If you use this dataset, the native-resolution version of this dataset, or any associated datasets, please cite the associated paper:

@misc{mukhopadhyay2026emergenttransferphysicsfoundation,
      title={Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence}, 
      author={Payel Mukhopadhyay and Stefan S. Nixon and Romain Watteaux and Michael McCabe and Alberto Bietti and Kyunghyun Cho and Cristiana Diaconu and Irina Espejo Morales and David Fouhey and Siavash Golkar and Tom Hehir and Shirley Ho and Jake Kovalic and Geraud Krawezik and Francois Lanusse and Tanya Marwah and Rudy Morel and Mariel Pettee and Helen Qu and Jeff Shen and Hadi Sotoudeh and Stuart B. Dalziel and Miles Cranmer},
      year={2026},
      eprint={2606.01470},
      archivePrefix={arXiv},
      primaryClass={physics.flu-dyn},
      url={https://arxiv.org/abs/2606.01470}, 
}
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