Exporting data

Web exports are created per experiment dataset, not as one automatic archive of every table. Choose the table that contains the measurements you need.

Create an export

1. Open the experiment's Data tab and select a dataset.
2. Open Export Dataset from the table actions.
3. If needed, choose whether to anonymize contributors for this export. This can override the experiment's stored setting.
4. Select a format:
   • CSV for spreadsheets and broad compatibility;
   • NDJSON for streaming one JSON object per line;
   • JSON Array for a single JSON collection;
   • Parquet for typed, columnar analysis in Python, R, or lakehouse tools;
   • Excel for an .xlsx workbook.
5. Create the export. It is queued and prepared in the background.
6. Return to the export list and download it when its status is Completed.

The list keeps previous exports and shows their format, creation time, status, row count, and size when those values are available.

Before analysis

• Keep the experiment ID, table name, export time, workbook version, and protocol context with the downloaded file.
• Check row counts and missing values before transforming data.
• Confirm how nested values and raw traces are represented in your chosen format.
• Prefer Parquet when types and large columnar datasets matter; prefer CSV only when flattening and spreadsheet compatibility are acceptable.