Datasetpublic

electricsheepafrica/africa-guinea-bissau-guinea-bissau-ndvi-at-subnational-level-df6b8996

Guinea-Bissau: NDVI at Subnational Level | Africa (Guinea-Bissau official open data) 47,094 rows - 1 Africa country - 2022-2026 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official CSV resource from Guinea-Bissau as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo. About the source Source: Guinea-Bissau: NDVI at… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-guinea-bissau-guinea-bissau-ndvi-at-subnational-level-df6b8996.

sourceHugging Facecc-by-4.0updated 29d agoView on Hugging Face

0likes48downloads

Dataset Card

Guinea-Bissau: NDVI at Subnational Level | Africa (Guinea-Bissau official open data)

47,094 rows - 1 Africa country - 2022-2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Guinea-Bissau as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

—Source: Guinea-Bissau: NDVI at Subnational Level
—Publisher: WFP - World Food Programme
—Resource: gnb-ndvi-subnat-5ytd.csv
—Format: CSV
—License: CC BY 4.0
—Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`GNB`	47,094	2022	2026	`Guinea-Bissau`

Indicators or Resource Contents

—guinea-bissau-ndvi-at-subnational-level-adm-level-6a5f43d8 - Guinea-Bissau: NDVI at Subnational Level - adm level
—guinea-bissau-ndvi-at-subnational-level-adm-id-005efba9 - Guinea-Bissau: NDVI at Subnational Level - adm id
—guinea-bissau-ndvi-at-subnational-level-n-pixels-d147dbfc - Guinea-Bissau: NDVI at Subnational Level - n pixels
—guinea-bissau-ndvi-at-subnational-level-vim-7e094c8e - Guinea-Bissau: NDVI at Subnational Level - vim
—guinea-bissau-ndvi-at-subnational-level-vim-avg-4f7e8cca - Guinea-Bissau: NDVI at Subnational Level - vim avg
—guinea-bissau-ndvi-at-subnational-level-viq-ee873edd - Guinea-Bissau: NDVI at Subnational Level - viq

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`guinea-bissau-ndvi-at-subnational-level-adm-level-6a5f43d8`
`indicator_name`	`string`	Human-readable indicator name.	`Guinea-Bissau: NDVI at Subnational Level - adm level`
`country_iso3`	`string`	ISO3 country code.	`GNB`
`country_name`	`string`	Country name.	`Guinea-Bissau`
`year`	`Int64`	Observation year.	`2022`
`value`	`float64`	Numeric observation value.	`1.0`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`dimension_pcode`	`string`	Source dimension.	`GW01`
`source_period_start_year`	`Int64`	First year inferred from source resource metadata.	`2026`
`source_period_end_year`	`Int64`	Last year inferred from source resource metadata.	`2026`
`source_period_label`	`category`	Human-readable period inferred from source resource metadata.	`2026`
`source_provider`	`category`	Publishing organization.	`WFP - World Food Programme`
`source_dataset`	`category`	Source package title.	`Guinea-Bissau: NDVI at Subnational Level`
`source_resource`	`category`	Source resource title.	`gnb-ndvi-subnat-5ytd.csv`
`source_package_id`	`category`	CKAN package UUID.	`74c79ad4-99fe-4028-8253-c8675d0f9f13`
`source_resource_id`	`category`	CKAN resource UUID.	`bfcc797a-bb82-4555-8f30-0b2d0baf7447`
`source_url`	`category`	Original source resource URL.	`https://data.humdata.org/dataset/74c79ad4-99fe-4028-8253-c8675d0f9f13/re`
`license_id`	`category`	Source license identifier.	`cc-by`
`retrieved_at`	`category`	UTC retrieval timestamp.	`2026-08-30T05:38:32Z`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-guinea-bissau-guinea-bissau-ndvi-at-subnational-level-df6b8996")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python

sample_country = df[df["country_iso3"] == "GNB"]

Work with indicators

python

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

bibtex

@misc{electric_sheep_africa_africa_guinea_bissau_guinea_bissau_ndvi_at_subnational_level_df6b8996_2026,
  title        = {Guinea-Bissau: NDVI at Subnational Level | Africa (Guinea-Bissau official open data)},
  author       = {WFP - World Food Programme},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/gnb-ndvi-subnational},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-guinea-bissau-guinea-bissau-ndvi-at-subnational-level-df6b8996}}
}

License

Released under CC BY 4.0.

Original data (c) WFP - World Food Programme. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

Provenance: ingested 2026-08-30 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/74c79ad4-99fe-4028-8253-c8675d0f9f13/resource/bfcc797a-bb82-4555-8f30-0b2d0baf7447/download/gnb-ndvi-subnat-5ytd.csv