S2 Data Package — README
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Files included:
- S2_Data_Template.csv — Column schema for the de-identified analysis dataset (one example row included).
- S2_Data_Dictionary.csv — Variable names, types, units/allowed values, and descriptions.
- S2_Text_Supplementary_Methods.docx — Detailed preprocessing and analysis pipelines for EMA, HRV, cortisol, and passive sensing.

How to populate S2_Data_Template.csv:
1) Append a row per EMA prompt or event-contingent entry (5/day per participant + binge events).
2) Keep participant-level fields (TSST_AUCi, questionnaires) constant across rows for that participant.
3) For non-sampling rows, leave Cortisol_nmolL and Cortisol_SampleType blank.
4) Use local dates and times, and ensure device clocks are synchronized.
5) Remove any potential identifiers; do not include raw GPS coordinates or free-text PII.

Group labels:
- GAD+BED, BED-only, GAD-only, HC

Units:
- HRV_RMSSD_ms: milliseconds (ms)
- Cortisol_nmolL: nmol/L
- ScreenTime_Min: minutes
- BMI_kgm2: kg/m²

Data sharing:
- Ensure the dataset is fully de-identified before public release. If sharing is restricted, provide a metadata-only record and an access procedure.