Each dataset has a settings menu for managing how it's named, organized, and connected.

Hover over any dataset in the left sidebar and click the ⋮ icon to open its settings menu. The available options are:
Open in new tab — opens the dataset in a separate browser tab
Edit — rename the dataset or update its description
Duplicate — creates a full copy of the dataset, including its structure and data
Import data — add more rows to an existing dataset from a CSV, XLS, or XLSX file
Manage connections — set up data connections between this dataset and others
Move to another system — relocates the dataset to a different system in your workspace
Download data — exports the dataset as a file (see below)
Delete — removes the dataset and all its records
Download data
Click Download data to export your dataset. Before downloading, you can configure exactly what gets exported.
Format Choose your export format from the Download as? dropdown — CSV or Excel.
Setup Configuration For each column in the dataset, you can control three things:
Value to Expose — for columns that reference other records (such as a Team Member column), choose which data to export: the raw value, name, email address, phone number, or other available fields
Show Data in — for columns that may contain multiple values, choose how they appear in the export:
Separate Columns — each value gets its own column
Join as Comma Separated Values — all values are combined into a single cell
To Include — toggle off any columns you don't want in the export
Import data into an existing dataset
Use Import data to add new rows to a dataset that already exists — for example, loading a new batch of contacts into an existing Contacts dataset.
The import follows the same four steps as creating a dataset from a file: upload, select header row, match columns, and validate. For the import to work correctly, the column names and types in your file must match those already in the dataset. Mismatched columns will show a validation warning before you can proceed.
Manage connections
Manage connections lets you sync data between datasets — either pushing data out to another dataset or pulling data in from one.
Forward To — defines a connection where this dataset sends column data to another dataset
Accept From — defines a connection where this dataset receives data from another dataset
When adding a connection, you choose which columns to include and can set logic to control when and how data flows between them. Click + Add Connection to configure a new connection.
Tip: Use connections to keep shared data in sync across datasets without duplicating it manually — for example, forwarding customer names from a Contacts dataset into an Orders dataset.