> For the complete documentation index, see [llms.txt](https://knowledge.aterio.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://knowledge.aterio.io/data-products/new-industrial-developments/faqs/how-up-to-date-is-the-dataset-and-how-are-changes-or-cancellations-handled.md).

# How up-to-date is the dataset, and how are changes or cancellations handled?

The dataset is continuously updated as new announcements, permit filings, imagery and utility/infrastructure data become available. Each record includes timestamps for key milestones (announcement date, construction start date, estimated activation date, etc.) and discretionary fields for cancellation/withdrawal dates where applicable. If a project is formally cancelled or withdrawn, the dataset records the withdrawal date to distinguish it from projects still in play. Because the dataset relies on public and observable sources, each record is refreshed as soon as verified information surfaces.


---

# 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, and the optional `goal` query parameter:

```
GET https://knowledge.aterio.io/data-products/new-industrial-developments/faqs/how-up-to-date-is-the-dataset-and-how-are-changes-or-cancellations-handled.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.