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Adaptation Atlas Data Storytelling Challenge (Track 5): Rainfall

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Starti
Sep 05, 25
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Nov 03, 25
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Nov 28, 25
datasets
20 Oct 2025, 07:47 Ā· 5

Hi, I’m working on Track 5: Rainfall Reliability Explorer. Could you please share the download links or access instructions for the Baseline Datasets (GLASS NDVI, hazard, and exposure data)? I’d like to analyze them in Python outside Observable.

Discussion 5 answers
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AJoel
Zindi
20 Oct 2025, 08:49
Upvotes 0

thanks i will go through

i am confused on how to import them i thought you just download

20 Oct 2025, 08:59
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AJoel
Zindi
Hi @Alanin, there are some examples of import statements in the Observable notebook above which show how to import a dataset from another source. Here is an example of such an import for the Pest data import {pest_db} from "b2a8f20822affaca". For most of these datasets there are also links in the notebooks which can be used to access the same data. An example for the pest dataset is. https://digital-atlas.s3.amazonaws.com/domain=impacts/type=pest-disease/source=rohr_notre-dame/region=africa/processing=aggregated/pest-yield-impact_pct.parquet. I will suggest going through the Observable notebook mentioned in my previous post again. There is a good description of the different dataset formats. How you import a dataset depends on which format you choose. Dataset can be imported from other observable notebook by using the import statement or from external sources such as AWS with the appropriate link. It would just be a matter of writing the correct code to selected data source.
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The Alliance of Bioversity International and CIAT

Hi @Alanin, as Joel has pointed out, you can download the datasets directly as file attachments or import them into the notebook through the db import. However, if useful to you, I can also provide you with the s3 paths so that you can use those directly in python.

21 Oct 2025, 08:26
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