Datasets:

xenificity
/

NeuroCycleMRI

DOI:

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Split (1)

train

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
participant_id: struct<Description: string>
  child 0, Description: string
cycle_type: struct<Description: string>
  child 0, Description: string
EthicsApprovals: list<item: string>
  child 0, item: string
Authors: list<item: string>
  child 0, item: string
ReferencesAndLinks: list<item: null>
  child 0, item: null
DatasetDOI: string
Name: string
License: string
SourceDatasets: list<item: null>
  child 0, item: null
HowToAcknowledge: string
Funding: list<item: string>
  child 0, item: string
Acknowledgements: string
BIDSVersion: string
GeneratedBy: list<item: struct<Name: string>>
  child 0, item: struct<Name: string>
      child 0, Name: string
DatasetType: string
to
{'Name': Value('string'), 'BIDSVersion': Value('string'), 'DatasetType': Value('string'), 'GeneratedBy': List({'Name': Value('string')}), 'SourceDatasets': List(Value('null')), 'License': Value('string'), 'Authors': List(Value('string')), 'Acknowledgements': Value('string'), 'HowToAcknowledge': Value('string'), 'Funding': List(Value('string')), 'ReferencesAndLinks': List(Value('null')), '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 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/json/json.py", line 289, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              participant_id: struct<Description: string>
                child 0, Description: string
              cycle_type: struct<Description: string>
                child 0, Description: string
              EthicsApprovals: list<item: string>
                child 0, item: string
              Authors: list<item: string>
                child 0, item: string
              ReferencesAndLinks: list<item: null>
                child 0, item: null
              DatasetDOI: string
              Name: string
              License: string
              SourceDatasets: list<item: null>
                child 0, item: null
              HowToAcknowledge: string
              Funding: list<item: string>
                child 0, item: string
              Acknowledgements: string
              BIDSVersion: string
              GeneratedBy: list<item: struct<Name: string>>
                child 0, item: struct<Name: string>
                    child 0, Name: string
              DatasetType: string
              to
              {'Name': Value('string'), 'BIDSVersion': Value('string'), 'DatasetType': Value('string'), 'GeneratedBy': List({'Name': Value('string')}), 'SourceDatasets': List(Value('null')), 'License': Value('string'), 'Authors': List(Value('string')), 'Acknowledgements': Value('string'), 'HowToAcknowledge': Value('string'), 'Funding': List(Value('string')), 'ReferencesAndLinks': List(Value('null')), 'DatasetDOI': Value('string'), 'EthicsApprovals': List(Value('string'))}
              because column names don't match

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NeuroCycle+ : Longitudinal Dense-Sampling Structural MRI Dataset

Dataset Card for Hugging Face

📋 Dataset Description

NeuroCycle+ is a unique dense-sampling, deep-phenotyping structural MRI dataset that examines how natural fluctuations in sex hormone concentrations influence large-scale brain structural changes across a five-week period in different hormonal milieus.

Four participants were enrolled and scanned intensively (~25 sessions each, mostly Monday–Friday), yielding a total of 100 high-resolution structural MRI scans. Each session included:

T1-weighted and T2-weighted structural imaging (0.8 mm isotropic)
Immediate post-scan blood draw for hormone levels
Mood and anxiety questionnaires

This design allows fine-grained investigation of hormone-driven brain plasticity under four distinct conditions:

Endometriosis cycle
Natural/typical menstrual cycle
Oral contraceptive use
Stable male hormonal milieu

Participants

Participant ID	Hormonal Condition	Age	Sex	Key Characteristics
sub-01	Endometriosis cycle	30	Female	Diagnosed 7 months prior; mean cycle 24.4 days
sub-02	Typical/natural cycle	37	Female	Regular cycle (~27.1 days); nicotine use
sub-03	Oral contraceptives cycle	31	Female	Using combined oral contraceptive (ethinyl-estradiol + dienogest)
sub-04	Male	36	Male	No history of hormonal fluctuations

All participants had no history of psychiatric, neurological, or endocrine disorders (except the endometriosis diagnosis).

📊 Dataset Statistics (DS-II)

Dataset	Subjects (#)	# of Scans (sMRI, fMRI)	Size (GB)	sMRI Min Size (MB)	sMRI Max Size (MB)	fMRI Min Size (MB)	fMRI Max Size (MB)
NeuroCycle+ Dataset	4	100 (100, 0)	3.0	24	39	-	-

🔬 MRI Acquisition

Scanner: Siemens 3T Prisma (64-channel head coil)
Sequences:
- T1-weighted MPRAGE (0.8 mm isotropic)
- T2-weighted (0.8 mm isotropic)
T1w parameters: TR = 2400 ms, TE = 2.22 ms, TI = 1000 ms, flip angle = 8°, FOV = 256 mm
T2w parameters: TR = 3200 ms, TE = 563 ms, FOV = 256 mm

All scans were acquired at ~07:30 am local time.

📁 File Structure (BIDS)

neurocycle-plus/
├── README.md
├── dataset_description.json
├── participants.tsv
├── CHANGES
├── sub-01/          # Endometriosis cycle
├── sub-02/          # Typical cycle
├── sub-03/          # Oral contraceptives
├── sub-04/          # Male
└── ... (each subject contains ~25 sessions)

Downloads last month: 282

Total file size:

3.12 GB