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.bidsignore

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+README.md
+LICENSE
+.gitattributes
+metadata/
+annotations/
+splits/
+sampling/
+recordings.tsv
+recordings.json
+release_summary.json

.gitattributes

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LICENSE

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+Creative Commons Attribution 4.0 International (CC BY 4.0)
+
+The IESSEEG dataset and annotations are licensed under CC BY 4.0.
+Full license: https://creativecommons.org/licenses/by/4.0/legalcode

README.md

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+---
+license: cc-by-4.0
+language:
+- en
+tags:
+- eeg
+- pediatric-epilepsy
+- iess
+- medical
+- time-series
+- datasets-and-benchmarks
+pretty_name: IESSEEG
+size_categories:
+- n<1K
+---
+
+# IESSEEG v1.1
+
+IESSEEG is an EEG dataset for studying infantile epileptic spasms syndrome
+(IESS), with linked recordings, clinical annotations, and a reproducible benchmark.
+The cohort contains 50 cases and 50 controls. Each case contributes pre-treatment
+and post-treatment EEG; each control contributes one original recording.
+
+**Code:** [IESSEEG benchmark](https://github.com/IESSEEG/IESSEEG)
+
+## Contents
+
+| EEG subset | Files | Hours | Source recordings |
+| --- | ---: | ---: | --- |
+| Original long EEG recordings | 150 | 3,172.47 | 50 case PRE, 50 case POST, 50 control |
+| Clinician-selected EEG segments | 600 | 250.53 | Two sleep and two awake segments from every original recording |
+| Simulated routine EEG segments | 200 | 100.06 | Two sampled 30-minute segments from each case PRE and control recording |
+
+Segments are derived from the long recordings. These durations should not be
+added together as independent EEG acquisition hours. Actual exported routine
+segments are 1,801 seconds long; the sampling design specifies 30 minutes.
+No video is included.
+
+## Download
+
+The full release requires approximately 119 GB for EDF files, plus metadata.
+
+```bash
+pip install huggingface_hub
+hf download Capur/IESSEEG --repo-type dataset --local-dir /path/to/IESSEEG
+```
+
+Individual subsets can be downloaded using the acquisition entity:
+
+```bash
+# Metadata and all clinician-selected EEG segments
+hf download Capur/IESSEEG --repo-type dataset --local-dir /path/to/IESSEEG \
+  --include '*.tsv' '*.json' '*.csv' 'README.md' 'LICENSE' '*acq-selected*'
+```
+
+EDF files are read by MNE or pyEDFlib. They are binary signal files rather than
+rows for the Hugging Face `datasets` viewer.
+
+## Organization and joins
+
+```text
+participants.tsv              Participant demographics and clinical metadata
+participants.json             Participant data dictionary
+recordings.tsv                One row per EDF, with relative path and labels
+recordings.json               Recording data dictionary
+sub-UCB001/ses-pre/eeg/...     EEG-BIDS EDF, channels.tsv, and EEG JSON sidecars
+metadata/segment_mapping.tsv  Every derived segment linked to its source long EEG
+annotations/diagnosis.tsv     Patient diagnosis and available clinician diagnosis
+annotations/sleep_awake.tsv   State labels for 600 clinician-selected EEG segments
+annotations/treatment_response.tsv  Outcomes for the 50 cases
+annotations/based_scores.tsv  140 ratings on a 20-recording subset
+splits/diagnosis_folds.csv    Five fixed participant-disjoint diagnosis folds
+splits/response_folds.csv     Five fixed folds shared by both response tasks
+sampling/response_head_training.csv  Saved 30-crop-per-recording training inputs
+sampling/context_pre.csv     Saved 10-crop-per-recording Section 6 inputs
+sampling/context_post.csv    Corresponding post-treatment inputs
+```
+
+Use `participant_id` or `patient_id` for participant joins and `recording_id` for
+recording joins. `source_recording_id` links a segment to its original long EEG.
+The integer `patient_id` preserves the benchmark's original patient mapping;
+it must not be recreated from row numbers in another table. Source recording
+codes are de-identified dataset identifiers, not hospital identifiers.
+
+`PRE` and `POST` refer to the intervention evaluated by the source study. Cases
+are not uniformly treatment-naive. Controls have `visit=CONTROL`; this does not
+represent a treatment stage. Missing values are `n/a`.
+
+For example:
+
+```python
+from pathlib import Path
+import pandas as pd
+import mne
+
+root = Path('/path/to/IESSEEG')
+recordings = pd.read_csv(root / 'recordings.tsv', sep='\t', na_values=['n/a'])
+row = recordings.query("subset == 'clinician_selected'").iloc[0]
+raw = mne.io.read_raw_edf(root / row.path, preload=False)
+```
+
+## Labels and metadata
+
+- **Patient diagnosis label** indicates whether the source participant is a case
+  (1) or control (0), for every original recording and derived segment.
+- **Clinician diagnosis label** is available only for the 200 simulated routine
+  EEG segments. It records whether the segment alone was judged consistent with
+  IESS, without access to the patient diagnosis. It is a separate evaluation
+  target, not a training label for diagnosis.
+- **Sleep/awake labels** are available only for clinician-selected EEG segments.
+  The long recordings and simulated routine segments do not have state labels.
+- **Treatment-response label** is the sustained response endpoint assessed at
+  approximately six weeks, with 28 responders and 22 non-responders. It is shared
+  by each case's PRE and POST recordings. The additional first-follow-up field
+  is not the benchmark response target.
+- **BASED scores** comprise seven clinicians' independent ratings on 20 original
+  recordings (10 PRE and 10 POST from different patients). This release contains
+  the scores and their recording/clinician links, not representative interval
+  coordinates or a consensus score.
+- **Clinical metadata** include age at EEG, onset age, and onset-to-first-EEG lead
+  time in months. Clinical metadata availability differs between cases and
+  controls. Consult the data dictionaries for units and missingness.
+
+## Sampling and benchmark partitions
+
+All recordings and segments from one participant stay in the same test fold.
+Diagnosis uses clinician-selected PRE/control segments for fitting and simulated
+routine EEG segments for testing. Each response task uses the original PRE or
+POST long recordings of the 50 cases. The target is the same sustained response
+label. The two tasks use the same response fold assignments.
+
+For qEEG, frozen models, and response fine-tuning, outer fold f is tested,
+(f+1) mod 5 validates, and the remaining three folds train. Fully fine-tuned
+diagnosis models retain their documented internal validation procedures within
+the four non-test folds. See the code for model-specific recipes.
+
+Saved sampling tables preserve the actual starts used in the paper; crops can
+overlap. They are experimental input coordinates, not annotations of clinical
+EEG events. Exact within-recording coordinates for the 600 clinician-selected
+segments are not available in this release. The source-recording mapping does
+not establish those coordinates.
+
+## Signal handling and de-identification
+
+Files retain their native channel labels, sampling rates, digital signal samples,
+physical calibration, and continuous/discontinuous recording structure. Standard
+EDF patient/recording identification fields are replaced with pseudonymous
+identifiers. Calendar dates and wall-clock start times are replaced with a fixed
+placeholder, and free-text EDF annotations and acquisition descriptions are
+removed. Relative timekeeping annotations needed to read EDF+D are preserved.
+Absolute recording timestamps must not be used as clinical data. Incomplete
+trailing bytes beyond complete EDF data records are excluded.
+
+The model code performs its own resampling, montage construction, and filtering;
+the EDF signals have not been converted to one common model input. Missing
+acquisition information is marked `n/a`, rather than inferred. EEG locations
+are described by the source study as the international 10–20 system; subject-
+specific digitized electrode positions are not provided.
+
+## Experimental ordering
+
+`metadata/benchmark_row_order.tsv` preserves the selected-segment and routine-
+segment row order used by the experiment runners. `splits/diagnosis_recordings.tsv`
+records the ordered outer training and test inputs for each diagnosis fold.
+They use release recording identifiers and introduce no additional clinical labels.
+
+## Scope and responsible use
+
+This retrospective single-institution cohort supports research on IESS diagnosis
+and treatment-response prediction. Controls are not fully age matched. Segments
+from the same participant are dependent observations. The benchmark is not a
+prospectively validated clinical diagnostic or treatment-selection system.
+
+The retrospective study received institutional review board approval under
+protocol 17-000026, with waivers of informed consent and HIPAA research
+authorization. Do not attempt to re-identify participants.
+
+## License and citation
+
+The dataset and its annotations are released under
+[Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/).
+Model weights and code have their respective licenses.
+
+Please cite **IESSEEG: An Open EEG Dataset Towards Better Understanding of
+Infantile Epileptic Spasms Syndrome**. Author-identifying citation metadata will
+be restored after anonymous review. The 400 case clinician-selected EEG segments
+were previously analyzed by Rajaraman et al. (2024), *Computational EEG attributes predict response to therapy for epileptic spasms*; see the accompanying paper
+for the source-study reference and the benchmark adaptations.

dataset_description.json

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+{
+  "Name": "IESSEEG",
+  "BIDSVersion": "1.9.0",
+  "DatasetType": "raw",
+  "License": "CC-BY-4.0",
+  "DatasetVersion": "1.1",
+  "Authors": [
+    "IESSEEG contributors"
+  ],
+  "HowToAcknowledge": "Please cite IESSEEG: An Open EEG Dataset Towards Better Understanding of Infantile Epileptic Spasms Syndrome.",
+  "ReferencesAndLinks": [
+    "https://github.com/IESSEEG/IESSEEG"
+  ]
+}

participants.json

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+{
+  "participant_id": {
+    "Description": "BIDS participant identifier. Stable across all visits and subsets."
+  },
+  "patient_id": {
+    "Description": "Integer identifier used by the benchmark. Join explicitly; never infer from table order."
+  },
+  "group": {
+    "Description": "Source participant case/control status.",
+    "Levels": {
+      "case": "Participant with epileptic spasms",
+      "control": "Control participant"
+    }
+  },
+  "age_at_eeg_years": {
+    "Description": "Age at pre-treatment EEG for cases and at the original EEG for controls.",
+    "Units": "years"
+  },
+  "age_at_onset_months": {
+    "Description": "Age at spasm onset for cases. Missing for controls.",
+    "Units": "months"
+  },
+  "lead_time_months": {
+    "Description": "Time from disease onset to first EEG. Original source field LeadtimeMo; used as ln(1+x) in Section 6.",
+    "Units": "months"
+  },
+  "lead_time_ukiss": {
+    "Description": "Source-study ordinal lead-time category (LeadtimeUKISS); retained as metadata and not used in the current paper benchmark."
+  },
+  "treatment_response_label": {
+    "Description": "Sustained response at approximately six weeks: cessation of spasms and resolution of pre-existing hypsarrhythmia at first follow-up, with no recurrent spasms for at least one subsequent month. Missing for controls.",
+    "Levels": {
+      "1": "Responder",
+      "0": "Non-responder"
+    }
+  },
+  "initial_response_label": {
+    "Description": "First-follow-up response at approximately two weeks. Provided as additional metadata; not the response target of this benchmark.",
+    "Levels": {
+      "1": "Responder",
+      "0": "Non-responder"
+    }
+  }
+}

participants.tsv

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+sub-UCB102	99	control	0.6	n/a	n/a	n/a	n/a	n/a

recordings.json

@@ -0,0 +1,50 @@
+{
+  "recording_id": {
+    "Description": "Unique release identifier. Prefix long-, selected-, or routine- identifies the input subset."
+  },
+  "source_id": {
+    "Description": "De-identified source recording/segment code used by the original experiment files. Unique within subset."
+  },
+  "participant_id": {
+    "Description": "Join to participants.tsv."
+  },
+  "patient_id": {
+    "Description": "Stable integer benchmark identifier; join to splits."
+  },
+  "subset": {
+    "Description": "original_long, clinician_selected, or simulated_routine."
+  },
+  "visit": {
+    "Description": "PRE or POST relative to the treatment evaluated; CONTROL for control recordings."
+  },
+  "source_recording_id": {
+    "Description": "Parent long EEG recording_id; self-reference for an original long EEG."
+  },
+  "source_long_id": {
+    "Description": "De-identified code of the parent long EEG."
+  },
+  "path": {
+    "Description": "EDF path relative to the dataset root."
+  },
+  "duration_seconds": {
+    "Description": "Recorded signal duration from complete EDF data records, not necessarily elapsed wall-clock time in discontinuous EDF+D."
+  },
+  "sleep_awake_label": {
+    "Description": "awake or sleep for clinician-selected EEG segments only; n/a for other inputs."
+  },
+  "patient_diagnosis_label": {
+    "Description": "1 for a case source participant, 0 for a control, inherited by every derived segment."
+  },
+  "clinician_diagnosis_label": {
+    "Description": "Final segment-only clinician judgment: 1 consistent with IESS, 0 not consistent; available only for the 200 simulated routine EEG segments."
+  },
+  "treatment_response_label": {
+    "Description": "Sustained patient response label from participants.tsv; n/a for controls."
+  },
+  "start_seconds": {
+    "Description": "Source-relative sampling start for simulated routine EEG; unavailable for clinician-selected EEG segments. Not a clinical event annotation."
+  },
+  "nominal_duration_seconds": {
+    "Description": "Intended sampling duration for simulated routine EEG (1800 seconds). Exported signal duration can be 1801 seconds."
+  }
+}

release_summary.json

@@ -0,0 +1,16 @@
+{
+  "participants": 100,
+  "counts": {
+    "clinician_selected": 600,
+    "original_long": 150,
+    "simulated_routine": 200
+  },
+  "hours": {
+    "clinician_selected": 250.53219458333334,
+    "original_long": 3172.474722222222,
+    "simulated_routine": 100.05555555555556
+  },
+  "based_ratings": 140,
+  "edf_bytes": 118853282602,
+  "edf_complete": true
+}

splits/diagnosis_folds.csv

@@ -0,0 +1,101 @@
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splits/diagnosis_recordings.tsv

@@ -0,0 +1,1801 @@
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splits/response_folds.csv

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sub-UCB018/ses-post/eeg/sub-UCB018_ses-post_task-awake_acq-selected_run-01_channels.tsv

@@ -0,0 +1,41 @@
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sub-UCB018/ses-post/eeg/sub-UCB018_ses-post_task-awake_acq-selected_run-01_eeg.json

@@ -0,0 +1,11 @@
+{
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+}

sub-UCB018/ses-post/eeg/sub-UCB018_ses-post_task-awake_acq-selected_run-02_channels.tsv

@@ -0,0 +1,41 @@
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sub-UCB018/ses-post/eeg/sub-UCB018_ses-post_task-awake_acq-selected_run-02_eeg.json

@@ -0,0 +1,11 @@
+{
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+}

sub-UCB018/ses-post/eeg/sub-UCB018_ses-post_task-rest_acq-long_run-01_channels.tsv

@@ -0,0 +1,22 @@
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sub-UCB018/ses-post/eeg/sub-UCB018_ses-post_task-rest_acq-long_run-01_eeg.json

@@ -0,0 +1,11 @@
+{
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+}

sub-UCB018/ses-post/eeg/sub-UCB018_ses-post_task-sleep_acq-selected_run-01_channels.tsv

@@ -0,0 +1,41 @@
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sub-UCB018/ses-post/eeg/sub-UCB018_ses-post_task-sleep_acq-selected_run-01_eeg.json

@@ -0,0 +1,11 @@
+{
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+}

sub-UCB018/ses-post/eeg/sub-UCB018_ses-post_task-sleep_acq-selected_run-02_channels.tsv

@@ -0,0 +1,41 @@
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sub-UCB018/ses-post/eeg/sub-UCB018_ses-post_task-sleep_acq-selected_run-02_eeg.json

@@ -0,0 +1,11 @@
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+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 1055.0,
+  "RecordingType": "discontinuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 19
+}

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-awake_acq-selected_run-01_channels.tsv

@@ -0,0 +1,41 @@
+name	type	units	sampling_frequency
+EEG Fp1-Ref	EEG	uV	200.0
+EEG Fp2-Ref	EEG	uV	200.0
+EEG F3-Ref	EEG	uV	200.0
+EEG F4-Ref	EEG	uV	200.0
+EEG C3-Ref	EEG	uV	200.0
+EEG C4-Ref	EEG	uV	200.0
+EEG P3-Ref	EEG	uV	200.0
+EEG P4-Ref	EEG	uV	200.0
+EEG O1-Ref	EEG	uV	200.0
+POL O2	MISC	uV	200.0
+EEG F7-Ref	EEG	uV	200.0
+EEG F8-Ref	EEG	uV	200.0
+EEG T3-Ref	EEG	uV	200.0
+POL  T4	MISC	uV	200.0
+EEG T5-Ref	EEG	uV	200.0
+EEG T6-Ref	EEG	uV	200.0
+EEG FZ-Ref	EEG	uV	200.0
+EEG CZ-Ref	EEG	uV	200.0
+EEG PZ-Ref	EEG	uV	200.0
+POL E	MISC	uV	200.0
+POL PG1	MISC	uV	200.0
+POL PG2	MISC	uV	200.0
+EEG A1-Ref	EEG	uV	200.0
+EEG A2-Ref	EEG	uV	200.0
+POL TI	MISC	uV	200.0
+POL T2	MISC	uV	200.0
+POL EOGR	MISC	uV	200.0
+POL EKG1	MISC	uV	200.0
+POL EKG2	MISC	uV	200.0
+POL RESP1	MISC	uV	200.0
+POL RESP2	MISC	uV	200.0
+POL EOGL	MISC	uV	200.0
+POL A32	MISC	uV	200.0
+POL DC01	MISC	uV	200.0
+POL DC02	MISC	uV	200.0
+POL DC03	MISC	uV	200.0
+POL DC04	MISC	uV	200.0
+POL $A1	MISC	mV	200.0
+POL $A2	MISC	mV	200.0
+POL A47	MISC	uV	200.0

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-awake_acq-selected_run-01_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "awake",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 1046.0,
+  "RecordingType": "discontinuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 19
+}

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-awake_acq-selected_run-02_channels.tsv

@@ -0,0 +1,41 @@
+name	type	units	sampling_frequency
+EEG Fp1-Ref	EEG	uV	200.0
+EEG Fp2-Ref	EEG	uV	200.0
+EEG F3-Ref	EEG	uV	200.0
+EEG F4-Ref	EEG	uV	200.0
+EEG C3-Ref	EEG	uV	200.0
+EEG C4-Ref	EEG	uV	200.0
+EEG P3-Ref	EEG	uV	200.0
+EEG P4-Ref	EEG	uV	200.0
+EEG O1-Ref	EEG	uV	200.0
+POL O2	MISC	uV	200.0
+EEG F7-Ref	EEG	uV	200.0
+EEG F8-Ref	EEG	uV	200.0
+EEG T3-Ref	EEG	uV	200.0
+POL  T4	MISC	uV	200.0
+EEG T5-Ref	EEG	uV	200.0
+EEG T6-Ref	EEG	uV	200.0
+EEG FZ-Ref	EEG	uV	200.0
+EEG CZ-Ref	EEG	uV	200.0
+EEG PZ-Ref	EEG	uV	200.0
+POL E	MISC	uV	200.0
+POL PG1	MISC	uV	200.0
+POL PG2	MISC	uV	200.0
+EEG A1-Ref	EEG	uV	200.0
+EEG A2-Ref	EEG	uV	200.0
+POL TI	MISC	uV	200.0
+POL T2	MISC	uV	200.0
+POL EOGR	MISC	uV	200.0
+POL EKG1	MISC	uV	200.0
+POL EKG2	MISC	uV	200.0
+POL RESP1	MISC	uV	200.0
+POL RESP2	MISC	uV	200.0
+POL EOGL	MISC	uV	200.0
+POL A32	MISC	uV	200.0
+POL DC01	MISC	uV	200.0
+POL DC02	MISC	uV	200.0
+POL DC03	MISC	uV	200.0
+POL DC04	MISC	uV	200.0
+POL $A1	MISC	mV	200.0
+POL $A2	MISC	mV	200.0
+POL A47	MISC	uV	200.0

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-awake_acq-selected_run-02_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "awake",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 847.0,
+  "RecordingType": "discontinuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 19
+}

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-rest_acq-long_run-01_channels.tsv

@@ -0,0 +1,22 @@
+name	type	units	sampling_frequency
+Fp1	EEG	uV	200.0
+Fp2	EEG	uV	200.0
+F3	EEG	uV	200.0
+F4	EEG	uV	200.0
+C3	EEG	uV	200.0
+C4	EEG	uV	200.0
+P3	EEG	uV	200.0
+P4	EEG	uV	200.0
+O1	EEG	uV	200.0
+O2	EEG	uV	200.0
+F7	EEG	uV	200.0
+F8	EEG	uV	200.0
+T3	EEG	uV	200.0
+T4	EEG	uV	200.0
+T5	EEG	uV	200.0
+T6	EEG	uV	200.0
+Fz	EEG	uV	200.0
+Cz	EEG	uV	200.0
+Pz	EEG	uV	200.0
+A1	EEG	uV	200.0
+A2	EEG	uV	200.0

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-rest_acq-long_run-01_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "rest",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 77420.0,
+  "RecordingType": "continuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 21
+}

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-rest_acq-routine_run-01_channels.tsv

@@ -0,0 +1,22 @@
+name	type	units	sampling_frequency
+Fp1	EEG	uV	200.0
+Fp2	EEG	uV	200.0
+F3	EEG	uV	200.0
+F4	EEG	uV	200.0
+C3	EEG	uV	200.0
+C4	EEG	uV	200.0
+P3	EEG	uV	200.0
+P4	EEG	uV	200.0
+O1	EEG	uV	200.0
+O2	EEG	uV	200.0
+F7	EEG	uV	200.0
+F8	EEG	uV	200.0
+T3	EEG	uV	200.0
+T4	EEG	uV	200.0
+T5	EEG	uV	200.0
+T6	EEG	uV	200.0
+Fz	EEG	uV	200.0
+Cz	EEG	uV	200.0
+Pz	EEG	uV	200.0
+A1	EEG	uV	200.0
+A2	EEG	uV	200.0

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-rest_acq-routine_run-01_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "rest",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 1801.0,
+  "RecordingType": "continuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 21
+}

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-rest_acq-routine_run-02_channels.tsv

@@ -0,0 +1,22 @@
+name	type	units	sampling_frequency
+Fp1	EEG	uV	200.0
+Fp2	EEG	uV	200.0
+F3	EEG	uV	200.0
+F4	EEG	uV	200.0
+C3	EEG	uV	200.0
+C4	EEG	uV	200.0
+P3	EEG	uV	200.0
+P4	EEG	uV	200.0
+O1	EEG	uV	200.0
+O2	EEG	uV	200.0
+F7	EEG	uV	200.0
+F8	EEG	uV	200.0
+T3	EEG	uV	200.0
+T4	EEG	uV	200.0
+T5	EEG	uV	200.0
+T6	EEG	uV	200.0
+Fz	EEG	uV	200.0
+Cz	EEG	uV	200.0
+Pz	EEG	uV	200.0
+A1	EEG	uV	200.0
+A2	EEG	uV	200.0

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-rest_acq-routine_run-02_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "rest",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 1801.0,
+  "RecordingType": "continuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 21
+}

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-sleep_acq-selected_run-01_channels.tsv

@@ -0,0 +1,41 @@
+name	type	units	sampling_frequency
+EEG Fp1-Ref	EEG	uV	200.0
+EEG Fp2-Ref	EEG	uV	200.0
+EEG F3-Ref	EEG	uV	200.0
+EEG F4-Ref	EEG	uV	200.0
+EEG C3-Ref	EEG	uV	200.0
+EEG C4-Ref	EEG	uV	200.0
+EEG P3-Ref	EEG	uV	200.0
+EEG P4-Ref	EEG	uV	200.0
+EEG O1-Ref	EEG	uV	200.0
+POL O2	MISC	uV	200.0
+EEG F7-Ref	EEG	uV	200.0
+EEG F8-Ref	EEG	uV	200.0
+EEG T3-Ref	EEG	uV	200.0
+POL  T4	MISC	uV	200.0
+EEG T5-Ref	EEG	uV	200.0
+EEG T6-Ref	EEG	uV	200.0
+EEG FZ-Ref	EEG	uV	200.0
+EEG CZ-Ref	EEG	uV	200.0
+EEG PZ-Ref	EEG	uV	200.0
+POL E	MISC	uV	200.0
+POL PG1	MISC	uV	200.0
+POL PG2	MISC	uV	200.0
+EEG A1-Ref	EEG	uV	200.0
+EEG A2-Ref	EEG	uV	200.0
+POL TI	MISC	uV	200.0
+POL T2	MISC	uV	200.0
+POL EOGR	MISC	uV	200.0
+POL EKG1	MISC	uV	200.0
+POL EKG2	MISC	uV	200.0
+POL RESP1	MISC	uV	200.0
+POL RESP2	MISC	uV	200.0
+POL EOGL	MISC	uV	200.0
+POL A32	MISC	uV	200.0
+POL DC01	MISC	uV	200.0
+POL DC02	MISC	uV	200.0
+POL DC03	MISC	uV	200.0
+POL DC04	MISC	uV	200.0
+POL $A1	MISC	mV	200.0
+POL $A2	MISC	mV	200.0
+POL A47	MISC	uV	200.0

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-sleep_acq-selected_run-01_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "sleep",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 1464.0,
+  "RecordingType": "discontinuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 19
+}

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-sleep_acq-selected_run-02_channels.tsv

@@ -0,0 +1,41 @@
+name	type	units	sampling_frequency
+EEG Fp1-Ref	EEG	uV	200.0
+EEG Fp2-Ref	EEG	uV	200.0
+EEG F3-Ref	EEG	uV	200.0
+EEG F4-Ref	EEG	uV	200.0
+EEG C3-Ref	EEG	uV	200.0
+EEG C4-Ref	EEG	uV	200.0
+EEG P3-Ref	EEG	uV	200.0
+EEG P4-Ref	EEG	uV	200.0
+EEG O1-Ref	EEG	uV	200.0
+POL O2	MISC	uV	200.0
+EEG F7-Ref	EEG	uV	200.0
+EEG F8-Ref	EEG	uV	200.0
+EEG T3-Ref	EEG	uV	200.0
+POL  T4	MISC	uV	200.0
+EEG T5-Ref	EEG	uV	200.0
+EEG T6-Ref	EEG	uV	200.0
+EEG FZ-Ref	EEG	uV	200.0
+EEG CZ-Ref	EEG	uV	200.0
+EEG PZ-Ref	EEG	uV	200.0
+POL E	MISC	uV	200.0
+POL PG1	MISC	uV	200.0
+POL PG2	MISC	uV	200.0
+EEG A1-Ref	EEG	uV	200.0
+EEG A2-Ref	EEG	uV	200.0
+POL TI	MISC	uV	200.0
+POL T2	MISC	uV	200.0
+POL EOGR	MISC	uV	200.0
+POL EKG1	MISC	uV	200.0
+POL EKG2	MISC	uV	200.0
+POL RESP1	MISC	uV	200.0
+POL RESP2	MISC	uV	200.0
+POL EOGL	MISC	uV	200.0
+POL A32	MISC	uV	200.0
+POL DC01	MISC	uV	200.0
+POL DC02	MISC	uV	200.0
+POL DC03	MISC	uV	200.0
+POL DC04	MISC	uV	200.0
+POL $A1	MISC	mV	200.0
+POL $A2	MISC	mV	200.0
+POL A47	MISC	uV	200.0

sub-UCB018/ses-pre/eeg/sub-UCB018_ses-pre_task-sleep_acq-selected_run-02_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "sleep",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 1554.0,
+  "RecordingType": "discontinuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 19
+}

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-awake_acq-selected_run-01_channels.tsv

@@ -0,0 +1,42 @@
+name	type	units	sampling_frequency
+EEG Fp1-Ref	EEG	uV	200.0
+EEG Fp2-Ref	EEG	uV	200.0
+EEG F3-Ref	EEG	uV	200.0
+EEG F4-Ref	EEG	uV	200.0
+EEG C3-Ref	EEG	uV	200.0
+EEG C4-Ref	EEG	uV	200.0
+EEG P3-Ref	EEG	uV	200.0
+EEG P4-Ref	EEG	uV	200.0
+EEG O1-Ref	EEG	uV	200.0
+EEG O2-Ref	EEG	uV	200.0
+EEG F7-Ref	EEG	uV	200.0
+EEG F8-Ref	EEG	uV	200.0
+EEG T3-Ref	EEG	uV	200.0
+EEG T4-Ref	EEG	uV	200.0
+EEG T5-Ref	EEG	uV	200.0
+EEG T6-Ref	EEG	uV	200.0
+EEG FZ-Ref	EEG	uV	200.0
+EEG CZ-Ref	EEG	uV	200.0
+EEG PZ-Ref	EEG	uV	200.0
+POL E	MISC	uV	200.0
+POL PG1	MISC	uV	200.0
+POL PG2	MISC	uV	200.0
+EEG A1-Ref	EEG	uV	200.0
+EEG A2-Ref	EEG	uV	200.0
+POL T1	MISC	uV	200.0
+POL T2	MISC	uV	200.0
+POL EOGR	MISC	uV	200.0
+POL EKG1	MISC	uV	200.0
+POL EKG2	MISC	uV	200.0
+POL RESP	MISC	uV	200.0
+POL RESP	MISC	uV	200.0
+POL EOGL	MISC	uV	200.0
+POL DC01	MISC	uV	200.0
+POL DC02	MISC	uV	200.0
+POL DC03	MISC	uV	200.0
+POL DC04	MISC	uV	200.0
+POL SpO2	MISC	uV	200.0
+POL EtCO2	MISC	uV	200.0
+POL Pulse	MISC	uV	200.0
+POL $A1	MISC	mV	200.0
+POL $A2	MISC	mV	200.0

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-awake_acq-selected_run-01_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "awake",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 1150.0,
+  "RecordingType": "discontinuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 21
+}

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-awake_acq-selected_run-02_channels.tsv

@@ -0,0 +1,42 @@
+name	type	units	sampling_frequency
+EEG Fp1-Ref	EEG	uV	200.0
+EEG Fp2-Ref	EEG	uV	200.0
+EEG F3-Ref	EEG	uV	200.0
+EEG F4-Ref	EEG	uV	200.0
+EEG C3-Ref	EEG	uV	200.0
+EEG C4-Ref	EEG	uV	200.0
+EEG P3-Ref	EEG	uV	200.0
+EEG P4-Ref	EEG	uV	200.0
+EEG O1-Ref	EEG	uV	200.0
+EEG O2-Ref	EEG	uV	200.0
+EEG F7-Ref	EEG	uV	200.0
+EEG F8-Ref	EEG	uV	200.0
+EEG T3-Ref	EEG	uV	200.0
+EEG T4-Ref	EEG	uV	200.0
+EEG T5-Ref	EEG	uV	200.0
+EEG T6-Ref	EEG	uV	200.0
+EEG FZ-Ref	EEG	uV	200.0
+EEG CZ-Ref	EEG	uV	200.0
+EEG PZ-Ref	EEG	uV	200.0
+POL E	MISC	uV	200.0
+POL PG1	MISC	uV	200.0
+POL PG2	MISC	uV	200.0
+EEG A1-Ref	EEG	uV	200.0
+EEG A2-Ref	EEG	uV	200.0
+POL T1	MISC	uV	200.0
+POL T2	MISC	uV	200.0
+POL EOGR	MISC	uV	200.0
+POL EKG1	MISC	uV	200.0
+POL EKG2	MISC	uV	200.0
+POL RESP	MISC	uV	200.0
+POL RESP	MISC	uV	200.0
+POL EOGL	MISC	uV	200.0
+POL DC01	MISC	uV	200.0
+POL DC02	MISC	uV	200.0
+POL DC03	MISC	uV	200.0
+POL DC04	MISC	uV	200.0
+POL SpO2	MISC	uV	200.0
+POL EtCO2	MISC	uV	200.0
+POL Pulse	MISC	uV	200.0
+POL $A1	MISC	mV	200.0
+POL $A2	MISC	mV	200.0

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-awake_acq-selected_run-02_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "awake",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 1233.0,
+  "RecordingType": "discontinuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 21
+}

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-rest_acq-long_run-01_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "rest",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 58804.0,
+  "RecordingType": "continuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 21
+}

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-rest_acq-routine_run-01_channels.tsv

@@ -0,0 +1,22 @@
+name	type	units	sampling_frequency
+Fp1	EEG	uV	200.0
+Fp2	EEG	uV	200.0
+F3	EEG	uV	200.0
+F4	EEG	uV	200.0
+C3	EEG	uV	200.0
+C4	EEG	uV	200.0
+P3	EEG	uV	200.0
+P4	EEG	uV	200.0
+O1	EEG	uV	200.0
+O2	EEG	uV	200.0
+F7	EEG	uV	200.0
+F8	EEG	uV	200.0
+T3	EEG	uV	200.0
+T4	EEG	uV	200.0
+T5	EEG	uV	200.0
+T6	EEG	uV	200.0
+Fz	EEG	uV	200.0
+Cz	EEG	uV	200.0
+Pz	EEG	uV	200.0
+A1	EEG	uV	200.0
+A2	EEG	uV	200.0

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-rest_acq-routine_run-01_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "rest",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 1801.0,
+  "RecordingType": "continuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 21
+}

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-rest_acq-routine_run-02_channels.tsv

@@ -0,0 +1,22 @@
+name	type	units	sampling_frequency
+Fp1	EEG	uV	200.0
+Fp2	EEG	uV	200.0
+F3	EEG	uV	200.0
+F4	EEG	uV	200.0
+C3	EEG	uV	200.0
+C4	EEG	uV	200.0
+P3	EEG	uV	200.0
+P4	EEG	uV	200.0
+O1	EEG	uV	200.0
+O2	EEG	uV	200.0
+F7	EEG	uV	200.0
+F8	EEG	uV	200.0
+T3	EEG	uV	200.0
+T4	EEG	uV	200.0
+T5	EEG	uV	200.0
+T6	EEG	uV	200.0
+Fz	EEG	uV	200.0
+Cz	EEG	uV	200.0
+Pz	EEG	uV	200.0
+A1	EEG	uV	200.0
+A2	EEG	uV	200.0

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-rest_acq-routine_run-02_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "rest",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 1801.0,
+  "RecordingType": "continuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 21
+}

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-sleep_acq-selected_run-01_channels.tsv

@@ -0,0 +1,42 @@
+name	type	units	sampling_frequency
+EEG Fp1-Ref	EEG	uV	200.0
+EEG Fp2-Ref	EEG	uV	200.0
+EEG F3-Ref	EEG	uV	200.0
+EEG F4-Ref	EEG	uV	200.0
+EEG C3-Ref	EEG	uV	200.0
+EEG C4-Ref	EEG	uV	200.0
+EEG P3-Ref	EEG	uV	200.0
+EEG P4-Ref	EEG	uV	200.0
+EEG O1-Ref	EEG	uV	200.0
+EEG O2-Ref	EEG	uV	200.0
+EEG F7-Ref	EEG	uV	200.0
+EEG F8-Ref	EEG	uV	200.0
+EEG T3-Ref	EEG	uV	200.0
+EEG T4-Ref	EEG	uV	200.0
+EEG T5-Ref	EEG	uV	200.0
+EEG T6-Ref	EEG	uV	200.0
+EEG FZ-Ref	EEG	uV	200.0
+EEG CZ-Ref	EEG	uV	200.0
+EEG PZ-Ref	EEG	uV	200.0
+POL E	MISC	uV	200.0
+POL PG1	MISC	uV	200.0
+POL PG2	MISC	uV	200.0
+EEG A1-Ref	EEG	uV	200.0
+EEG A2-Ref	EEG	uV	200.0
+POL T1	MISC	uV	200.0
+POL T2	MISC	uV	200.0
+POL EOGR	MISC	uV	200.0
+POL EKG1	MISC	uV	200.0
+POL EKG2	MISC	uV	200.0
+POL RESP	MISC	uV	200.0
+POL RESP	MISC	uV	200.0
+POL EOGL	MISC	uV	200.0
+POL DC01	MISC	uV	200.0
+POL DC02	MISC	uV	200.0
+POL DC03	MISC	uV	200.0
+POL DC04	MISC	uV	200.0
+POL SpO2	MISC	uV	200.0
+POL EtCO2	MISC	uV	200.0
+POL Pulse	MISC	uV	200.0
+POL $A1	MISC	mV	200.0
+POL $A2	MISC	mV	200.0

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-sleep_acq-selected_run-01_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "sleep",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 1269.0,
+  "RecordingType": "discontinuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 21
+}

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-sleep_acq-selected_run-02_channels.tsv

@@ -0,0 +1,42 @@
+name	type	units	sampling_frequency
+EEG Fp1-Ref	EEG	uV	200.0
+EEG Fp2-Ref	EEG	uV	200.0
+EEG F3-Ref	EEG	uV	200.0
+EEG F4-Ref	EEG	uV	200.0
+EEG C3-Ref	EEG	uV	200.0
+EEG C4-Ref	EEG	uV	200.0
+EEG P3-Ref	EEG	uV	200.0
+EEG P4-Ref	EEG	uV	200.0
+EEG O1-Ref	EEG	uV	200.0
+EEG O2-Ref	EEG	uV	200.0
+EEG F7-Ref	EEG	uV	200.0
+EEG F8-Ref	EEG	uV	200.0
+EEG T3-Ref	EEG	uV	200.0
+EEG T4-Ref	EEG	uV	200.0
+EEG T5-Ref	EEG	uV	200.0
+EEG T6-Ref	EEG	uV	200.0
+EEG FZ-Ref	EEG	uV	200.0
+EEG CZ-Ref	EEG	uV	200.0
+EEG PZ-Ref	EEG	uV	200.0
+POL E	MISC	uV	200.0
+POL PG1	MISC	uV	200.0
+POL PG2	MISC	uV	200.0
+EEG A1-Ref	EEG	uV	200.0
+EEG A2-Ref	EEG	uV	200.0
+POL T1	MISC	uV	200.0
+POL T2	MISC	uV	200.0
+POL EOGR	MISC	uV	200.0
+POL EKG1	MISC	uV	200.0
+POL EKG2	MISC	uV	200.0
+POL RESP	MISC	uV	200.0
+POL RESP	MISC	uV	200.0
+POL EOGL	MISC	uV	200.0
+POL DC01	MISC	uV	200.0
+POL DC02	MISC	uV	200.0
+POL DC03	MISC	uV	200.0
+POL DC04	MISC	uV	200.0
+POL SpO2	MISC	uV	200.0
+POL EtCO2	MISC	uV	200.0
+POL Pulse	MISC	uV	200.0
+POL $A1	MISC	mV	200.0
+POL $A2	MISC	mV	200.0

sub-UCB064/ses-control/eeg/sub-UCB064_ses-control_task-sleep_acq-selected_run-02_eeg.json

@@ -0,0 +1,11 @@
+{
+  "TaskName": "sleep",
+  "Manufacturer": "Nihon Kohden",
+  "SamplingFrequency": 200.0,
+  "PowerLineFrequency": 60,
+  "EEGReference": "n/a",
+  "RecordingDuration": 1348.0,
+  "RecordingType": "discontinuous",
+  "EEGGround": "n/a",
+  "EEGChannelCount": 21
+}