Datasetpublic

electricsheepafrica/africa-equatorial-guinea-equatorial-guinea-ndvi-at-subnational-level-1deb8887

Equatorial Guinea: NDVI at Subnational Level | Africa (Equatorial Guinea official open data) 14,028 rows - 1 Africa country - 2022-2026 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official CSV resource from Equatorial Guinea 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: Equatorial Guinea:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-equatorial-guinea-equatorial-guinea-ndvi-at-subnational-level-1deb8887.

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Dataset Card

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

14,028 rows - 1 Africa country - 2022-2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Equatorial Guinea 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: Equatorial Guinea: NDVI at Subnational Level
—Publisher: WFP - World Food Programme
—Resource: gnq-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
`GNQ`	14,028	2022	2026	`Equatorial Guinea`

Indicators or Resource Contents

—equatorial-guinea-ndvi-at-subnational-level-adm-level-5a0cb675 - Equatorial Guinea: NDVI at Subnational Level - adm level
—equatorial-guinea-ndvi-at-subnational-level-adm-id-d0b1697d - Equatorial Guinea: NDVI at Subnational Level - adm id
—equatorial-guinea-ndvi-at-subnational-level-n-pixels-339c42ac - Equatorial Guinea: NDVI at Subnational Level - n pixels
—equatorial-guinea-ndvi-at-subnational-level-vim-917ac265 - Equatorial Guinea: NDVI at Subnational Level - vim
—equatorial-guinea-ndvi-at-subnational-level-vim-avg-f9f5d8e4 - Equatorial Guinea: NDVI at Subnational Level - vim avg
—equatorial-guinea-ndvi-at-subnational-level-viq-3714f075 - Equatorial Guinea: NDVI at Subnational Level - viq

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`equatorial-guinea-ndvi-at-subnational-level-adm-level-5a0cb675`
`indicator_name`	`string`	Human-readable indicator name.	`Equatorial Guinea: NDVI at Subnational Level - adm level`
`country_iso3`	`string`	ISO3 country code.	`GNQ`
`country_name`	`string`	Country name.	`Equatorial Guinea`
`year`	`Int64`	Observation year.	`2022`
`value`	`float64`	Numeric observation value.	`2.0`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`dimension_pcode`	`string`	Source dimension.	`GQ198002`
`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.	`Equatorial Guinea: NDVI at Subnational Level`
`source_resource`	`category`	Source resource title.	`gnq-ndvi-subnat-5ytd.csv`
`source_package_id`	`category`	CKAN package UUID.	`8ba9fda8-3a66-4c4c-8c5b-7456e755c874`
`source_resource_id`	`category`	CKAN resource UUID.	`27c7cdcd-d742-4578-80a4-d7c7b7663cdf`
`source_url`	`category`	Original source resource URL.	`https://data.humdata.org/dataset/8ba9fda8-3a66-4c4c-8c5b-7456e755c874/re`
`license_id`	`category`	Source license identifier.	`cc-by`
`retrieved_at`	`category`	UTC retrieval timestamp.	`2026-08-30T05:35:43Z`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-equatorial-guinea-equatorial-guinea-ndvi-at-subnational-level-1deb8887")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python

sample_country = df[df["country_iso3"] == "GNQ"]

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_equatorial_guinea_equatorial_guinea_ndvi_at_subnational_level_1deb8887_2026,
  title        = {Equatorial Guinea: NDVI at Subnational Level | Africa (Equatorial Guinea official open data)},
  author       = {WFP - World Food Programme},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/gnq-ndvi-subnational},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-equatorial-guinea-equatorial-guinea-ndvi-at-subnational-level-1deb8887}}
}

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/8ba9fda8-3a66-4c4c-8c5b-7456e755c874/resource/27c7cdcd-d742-4578-80a4-d7c7b7663cdf/download/gnq-ndvi-subnat-5ytd.csv