Hi, Brayden from the Adaptation Atlas team here!

The notebook containing the code datasets can be found here. You will find a section called "Pests and Diseases" which contains 2 datasets for you to use. This section also provides the useful metadata and information on how to understand these two datasets.

Both datasets are in Parquet format for use within duckdb-wasm in ObservableHQ, or a similar parquet module for JavaScript (i.e., hyparquet or parquet-wasm). You will need to merge these files with the boundary topojsons that are alos found in the notebook after filtering down to the required regions and variables that need mapped.

The first file is on Pest and Disease Crop Yield Impacts. It can be downloaded here from the s3 bucket, but I would strongly recomend importing the pre-made database containing this and the other pest dataset into your notebook instead (I've included an ecample of this at the end of the message).

The other dataset if for Pest and Disease Performance. It can be foudn on our S3 bucket at this link, but again - I would recomend using the pre-made database.

Pest and disease import example:

```{code cell}

import {pest_db} from "b2a8f20822affaca"

```

```{code cell}

pest_db.describeTables()

```