> For the complete documentation index, see [llms.txt](https://docs.comet.ucar.edu/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.comet.ucar.edu/catalog/comet-developed/data-display/user-notes-with-local-storage.md).

# User Notes with Local Storage

**Description:** A popup that allows the user to take notes as they go through the lesson. The notes persist throughout the whole lesson and on different pages. The notes can be added to, modified and deleted as the user progresses through the lesson.

**Type:** Integrated

**Keywords:** persistent, local storage, notes

**Technologies:** jQuery v.1.11.1

{% hint style="info" %}
**Accessibility notes:** --
{% endhint %}

{% hint style="info" %}
**Developer notes:** n/a
{% endhint %}

### Examples

| Lesson                                                             | Link                                                                                     |
| ------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
| Satellite RGB Imagery Interpretation for Ocean and Island Settings | [See on deved →](https://deved.meted.ucar.edu/satmet/sat_apps_ocean_islands/navmenu.php) |

<figure><img src="/files/PNzl0ALeXhKIvh2X9efY" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.comet.ucar.edu/catalog/comet-developed/data-display/user-notes-with-local-storage.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
