> ## Documentation Index
> Fetch the complete documentation index at: https://tokenterminal.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Datasets

> Create custom datasets from ready-made templates

<img src="https://mintcdn.com/tokenterminal/ePVzUc4Jyl2mhQdQ/images/studio-dataset.jpg?fit=max&auto=format&n=ePVzUc4Jyl2mhQdQ&q=85&s=af18969942c277f5a74f903c87b0a4a5" alt="Studio datasets hero" width="3840" height="2568" data-path="images/studio-dataset.jpg" />

Datasets allow you to customize any of the datasets built by Token Terminal.

These datasets give you a table-first view to the data, allowing you to filter, group, and sort the data in a way that makes sense for your analysis.

## Creating datasets

The first step in creating a dataset is selecting a template.

You can do this by clicking the **Create new** button under the **Datasets** tab in Studio.

After that you can aggregate and add or remove columns to the dataset.

### Dataset

If you want to change from the dataset you chose previously, you can do it here.

### Group by

Next, you can aggregate the data by one of the following options:

* **Market sector**: Aggregate the data by market sector, e.g. Lending.
* **Project**: Aggregate the data by project, e.g. Aave.
* **Listing date**: Aggregate the data by listing date, e.g. 2023-01-01.

### Columns

You can select which columns you want to include in the dataset.

You can also change the order of the columns by dragging and dropping them in the list.

## Working with datasets

After you've saved the dataset, you have a number of options for working with your dataset.

You can also find the dataset in your library under the **Datasets** tab.

### Share

You can share your dataset with others by clicking the **Share** button in the top right corner of the dataset editor. This will generate a unique URL that you can share with anyone.

### Clone

You can clone any Studio dataset on Token Terminal, whether it's from your team or not. Clicking **Clone** will open up the dataset editor with a fresh copy of the dataset that you can now adapt for your own needs.

### Preview

With **Preview**, you can see how your dataset will look when added to a dashboard. This is a great way to check that your dataset is configured correctly before adding it to a dashboard.