How to Export Colony Data to CSV
CSV export is the most portable way to get colony data out of Moustra and into the tools your lab already uses. Whether you're running stats in R or Python, building charts in Prism, archiving a snapshot for IACUC records, or feeding a custom report, CSV is the universal handoff. Every list view supports it, and the export respects your active filters and visible columns so you get exactly the subset you're looking at — nothing more, nothing less.
Step-by-Step Instructions
Open the data view you want to export
Navigate to the list view you want to pull data from — Animals, Cages, Matings, Litters, Plug Events, or any other grid in the app. CSV export is available from the toolbar of every list view, so the workflow is the same wherever you are.
Filter and search to narrow your rows
Use the column filters, search box, and any saved views to reduce the grid to exactly the rows you want in your export. For example, you might filter Animals to live females on protocol P-2024-001 with strain B6.Cg-Foxn1. The grid you see is the grid you'll export.
Pro Tip
The export respects your active filters — there's no separate filter step in the export dialog, so get the grid looking right first.
Configure visible columns via the grid toolbar
Open the Columns menu in the data grid toolbar and toggle visibility for each field. Hide columns you don't need (internal IDs, audit timestamps) and show columns you do (genotype, DOB, cage, protocol). Reorder them by dragging the column headers — the CSV will mirror your column order.
Click Export and pick CSV
In the grid toolbar, click Export and choose CSV from the format options. Moustra generates the file from the currently filtered rows and visible columns and downloads it to your browser's default download location.
Open the file and verify it matches
Open the downloaded CSV in Excel, Numbers, or your analysis tool of choice and confirm the row count matches the count shown at the bottom of the grid in Moustra. Spot-check a few rows and column headers to make sure the filter and column selections came through correctly before sharing or analyzing.