> For the complete documentation index, see [llms.txt](https://cleyrop.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cleyrop.gitbook.io/docs/documentation-fr-en/data-and-ai-project/datasets/explorer-les-datasets.md).

# Explore datasets

You can search for a Dataset in the catalog by entering one or more keywords in the search bar or by using the filters: sensitivity, classification, distribution (from the catalog, published in the catalog, project only), status, origin (Datasource connector type), refresh mode, refresh frequency

<figure><img src="/files/1202c5748bc07f54afda7205045de7ef89855f25" alt=""><figcaption></figcaption></figure>

For each Dataset, you can open the Dataset record to see the details:

* **Metadata** : sensitivity, classification, description ....
* **Schema** : columns and types
* **Preview**
* **Refresh** : History of all Dataset refreshes. You can open each refresh to see the details:
  * Information: trigger, duration, date, status
  * Execution logs
  * Number of output rows and columns
* **Quality:** list of Data Quality rules

## Possible actions on a Dataset

From this list or the Dataset record, it is possible to perform the following actions:

* **Subscribe to the Dataset** : be notified in case of refresh failure or alerts from Data Quality rules
* **Link / unlink to a dashboard** : allows the Dataset to be used in a dashboard
* **Export** : to export as csv
* **Edit / delete**
* **Publish to the catalog**

{% hint style="warning" %}
The permissions to perform these actions depend on the role in the project and on the resource
{% endhint %}