> 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/v4.7-en/data-and-ai-project/datasets/explorer-les-datasets.md).

# Explore datasets

Search and discover the metadata of the library's 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, only in the project), Status, Origin (Datasource connector type), Refresh mode, Refresh frequency

<figure><img src="https://4159280578-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMHNFH6aA4j5ucH4XFBXy%2Fuploads%2Fgit-blob-728fbeac98a18c3598b408cd06bbff1e426ac54c%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

For each Dataset you can open the Dataset record to see its 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 rows and columns in output
* **Quality:** list of Data Quality rules

## Possible actions on a Dataset

It is possible from this list or the Dataset record to perform the following actions:

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

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