Open-H-RF
An open, large-scale, community-driven dataset of medical ultrasound raw channel data
About
Open-H-RF is a collaborative initiative led by Stanford University, Eindhoven University of Technology (TU/e) and NVIDIA to build a large-scale, openly licensed dataset of pre-beamformed (channel capture) medical ultrasound measurements. The goal: train general-purpose foundation models capable of multi-task raw-to-insight inference across echocardiography, general, fetal and transcranial imaging, blood flow measurement and ultrasound inverse problems.
The initial (v1.0) release of the dataset contains 19,336 real and synthetic channel capture measurements, spanning a wide variety of acquisition types, targets and downstream tasks, including reconstruction, flow, quantitative imaging, motion estimation and interpretation tasks, contributed by 38 institutions across academia and industry. Released under CC BY 4.0.
The Open-H-RF format is implemented using the zea ultrasound toolbox. Each file holds the raw per-element channel data together with the full transmit and receive geometry needed to beamform it. Where available, files also include derived images, maps, labels and auxiliary signals that help interpret the data.
Dataset contents
Clicking a segment opens the datasets with those properties.
Browse the datasets
Select any bar to open the explorer filtered to it. Bars group datasets by the values on their data cards; Acquisitions and Size add up every file of those datasets, and a dataset spanning several values counts fully under each.
By target
By included keys
HDF5 data products and metadata groups beyond scan/ and probe/. Every dataset includes data/raw_data.
Gallery
Open the explorerGet the data
The dataset is on Hugging Face at nvidia/Open-H-RF. The files can be streamed using zea.
You can use zea app to inspect and preview the data in each dataset. For GPU-enabled installation instructions, see here. For a minimal install:
To get only the data you need, use the dataset explorer. Filter the datasets by acquisition type, imaging target, included metadata keys and more, then click Generate download script to get a script that fetches just the matching files.
Citation
If you use Open-H-RF in your research, please cite the Open-H-RF paper:
@misc{stevens2026openhrf,
title = {{Open-H-RF}: A Large-Scale Ultrasound Raw Channel Dataset Initiative},
author = {T. S. W. Stevens and S. W. Penninga and W. L. van Nierop and O. Nolan and F. Duelmer and
B. N. Frey and B. Federici and V. van Hal and L. D. van Harten and H. de Hoop and
R. Lopata and B. Luijten and M. van Sambeek and V. van der Schaft and H.-M. Schwab and
M. F. Azampour and N. Navab and R. Ali and A. Andrzejek and J. Baek and B. Boitnott and
T. Brevett and H. Hashemi and D. Hyun and J. H. Park and A. V. Telichko and
C. Thomas and L. Zhuang and Y. Aklilu and H. Arora and J. Barker and A. K. Mackanic and
P. McDowall and L. McHugh and I. Pirozzi and S. Simon-Trench and A. M. Bronstein and
O. Senouf and S. Vedula and D. Zadok and H. Rivaz and M. Sharifzadeh and S. Chen and
G. P. Luke and S. Wang and Yujia Wu and J. Verde and R. G{\"o}bl and O. Zettinig and
E. Boctor and Yixuan Wu and H.-M. Bae and M.-G. Kim and Y.-M. Kim and H. Lee and
S.-H. Oh and P. Pinto and M. Berrada-Sounni and M. Carley and R. J. Fedewa and
S. Gavin and N. Goldsmith and R. Kassayan and C. Low and R. Mehranfar and
G. Bardoscia and M. Boccardo and A. Botter and M. Carbonaro and G. L. Cerone and
E. Cesti and K. Meiburger and S. Seoni and F. Truscello and B. J. Raiteri and
L. Caron and M. Gasse and N. Ghigo and O. Gulenko and A. Leconte and S. A. Lee and
A. Malescot and E. Martineau and J. Por{\'e}e and J. Provost and G. Ramos-Palacios and
B. Rauby and R. L. Rungta and A. F. Sadikot and A. Wu and P. Xing and A. Chavignon and
C. Ferlay and V. Hingot and M. Reberol and A. Waelbroeck and H.-S. Kwon and
J. Bucholz and I. Guracar and R. Loftman and C. Williams and T. Grutman and
T. Ilovitsh and T. A. Aleef and P. B. Chen and W. Chen and Y. Chen and M. Frew and
M. Honarvar and Y. C. Lee and Z. Li and H. Moradi and R. Rohling and S. E. Salcudean and
Z. Wu and Q. Zeng and P. C. Cattin and S. El Hadramy and N. Bottenus and A. S. Perez and
S. Feng and Y. Feng and P. Jin and Y. Lin and O. Ostras and G. Pinton and
F. Santibanez and M. Sode and B. Turkbey and H. Wang and B. J. Wood and L. Zhang and
S. Luo and J. Wiskin and A. Austeng and Y. Karabiyik and S. P. N{\"a}sholm and
O. M. H. Rindal and D. Bustamante and M. Mehrmohammadi and H. Raeis and A. Hameddine and
G. Lajoinie and H. de Roo and M. Versluis and R. Zorgdrager and J. S. Au and
A. J. Y. Chee and J. Cohen and T. Gu and J. Y.-H. Hsu and S. Ling and M. Mourtzakis and
H. Nahas and P. de la Torre and D. Xiao and A. C. H. Yu and E. Zafiris and
P. Jarosik and P. Karwat and Z. Klimonda and M. Lewandowski and B. Byram and C. Khan and
Z. Marshall and Y.-C. Pan and S. Liu and T. Sultan and C. Hoerig and J. Mamou and
D. Auerbach and Y. C. Eldar and A. Wegerhoff and G. S. Fischer and S. Katayose and
X. Ma and R. Murakami and Y. Tang and R. Tsumura and Y. Wang and H. K. Zhang and
M. Azizian and S. Huver and J. J. Dahl and R. J. G. van Sloun and W. Simson},
year = {2026},
eprint = {2610.13616},
archivePrefix = {arXiv},
primaryClass = {eess.SP},
doi = {10.48550/arXiv.2610.13616},
url = {https://arxiv.org/abs/2610.13616}
}@article{stevens2026zea,
title = {{zea}: A Toolbox for Cognitive Ultrasound Imaging},
author = {Stevens, Tristan S. W. and van Nierop, Wessel L. and Luijten, Ben and
van de Schaft, Vincent and Nolan, Ois{\'i}n and Federici, Beatrice and
van Harten, Louis D. and Penninga, Simon W. and Schueler, Noortje I. P. and
van Sloun, Ruud J. G.},
journal = {Journal of Open Source Software},
publisher = {The Open Journal},
year = {2026},
volume = {11},
number = {121},
pages = {9881},
doi = {10.21105/joss.09881},
url = {https://doi.org/10.21105/joss.09881}
}If you use a specific dataset, please also check whether it has its own citation: open the dataset explorer, click on a specific contribution and see its Citation section.
Contributing institutions
Steering committee
Statistics
Datasets
Acquisition
Metadata
Tensor shape
Storage
Explore the datasets
Shape of selection
SelectionAll datasets
| Dataset | Data card | Scale | Data keys |
|---|---|---|---|
| Loading datasets… | |||
Download commands use the zea CLI (pip install "zea[jax,app]").








