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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:    CastError
Message:      Couldn't cast
Name: string
BIDSVersion: string
DatasetType: string
GeneratedBy: list<item: struct<Name: string, Version: string, Description: string, CodeURL: string>>
  child 0, item: struct<Name: string, Version: string, Description: string, CodeURL: string>
      child 0, Name: string
      child 1, Version: string
      child 2, Description: string
      child 3, CodeURL: string
DatasetLinks: struct<dynamic: string, pipeline-bodydyn: string>
  child 0, dynamic: string
  child 1, pipeline-bodydyn: string
License: string
Authors: list<item: string>
  child 0, item: string
ReferencesAndLinks: list<item: string>
  child 0, item: string
HowToAcknowledge: string
DatasetDOI: string
EthicsApprovals: list<item: string>
  child 0, item: string
to
{'Name': Value('string'), 'BIDSVersion': Value('string'), 'License': Value('string'), 'DatasetType': Value('string'), 'Authors': List(Value('string')), 'HowToAcknowledge': Value('string'), 'ReferencesAndLinks': List(Value('string')), 'DatasetDOI': Value('string'), 'EthicsApprovals': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              Name: string
              BIDSVersion: string
              DatasetType: string
              GeneratedBy: list<item: struct<Name: string, Version: string, Description: string, CodeURL: string>>
                child 0, item: struct<Name: string, Version: string, Description: string, CodeURL: string>
                    child 0, Name: string
                    child 1, Version: string
                    child 2, Description: string
                    child 3, CodeURL: string
              DatasetLinks: struct<dynamic: string, pipeline-bodydyn: string>
                child 0, dynamic: string
                child 1, pipeline-bodydyn: string
              License: string
              Authors: list<item: string>
                child 0, item: string
              ReferencesAndLinks: list<item: string>
                child 0, item: string
              HowToAcknowledge: string
              DatasetDOI: string
              EthicsApprovals: list<item: string>
                child 0, item: string
              to
              {'Name': Value('string'), 'BIDSVersion': Value('string'), 'License': Value('string'), 'DatasetType': Value('string'), 'Authors': List(Value('string')), 'HowToAcknowledge': Value('string'), 'ReferencesAndLinks': List(Value('string')), 'DatasetDOI': Value('string'), 'EthicsApprovals': List(Value('string'))}
              because column names don't match

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Multimodal Healthy Control Dataset

100 healthy control volunteers (80 train, 20 test). The test set is released following the Big Cross-Modal Attenuation Correction Challenge (BIC-MAC) held in conjunction with MICCAI 2026.

Citation

If you use this dataset, please cite:

Hinge, C., Høi-Hansen, F.E., Hansen, R.H. et al. A multimodal total-body dynamic [18F]FDG PET/CT/MRI dataset of 100 healthy humans. Scientific Data (2026). https://doi.org/10.1038/s41597-026-08157-4

DOI

BibTeX
@article{hinge2026multimodal,
  title   = {{A multimodal total-body dynamic [18F]FDG PET/CT/MRI dataset of 100 healthy humans}},
  author  = {Hinge, Christian and H{\o}i-Hansen, Frederikke E. and Hansen, Rasmus H. and
             Korsholm, Kirsten and Johannesen, Helle H. and Albrecht-Beste, Elisabeth and
             Saxtoft, Eunice S. and Jensen, Vibeke and Schulze, Christina and
             Mikkelsen, Christina and Ostrowski, Sisse R. and Nissen, Janna and
             Pernet, Cyril and Fischer, Barbara M. and Ladefoged, Claes N. and
             Andersen, Flemming L.},
  journal = {Scientific Data},
  year    = {2026},
  doi     = {10.1038/s41597-026-08157-4},
  url     = {https://doi.org/10.1038/s41597-026-08157-4},
  issn    = {2052-4463}
}

Download

Full dataset (301 GB):

hf download DEPICT-RH/Multimodal-HC \
    --repo-type dataset \
    --local-dir ./Multimodal-HC

Without dynamic PET (71 GB):

The dyanamic PET acquisitions comprise a 75% of the dataset size. You can ommit them from the download:

hf download DEPICT-RH/Multimodal-HC \
    --repo-type dataset \
    --local-dir ./Multimodal-HC \
    --exclude "*acdynPSF*"
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