electricsheepafrica/africa-mauritania-mauritania-ndvi-at-subnational-level-13457f8c

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

57,420 rows - 1 Africa country - 2022-2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Mauritania 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: Mauritania: NDVI at Subnational Level
• Publisher: WFP - World Food Programme
• Resource: mrt-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
MRT	57,420	2022	2026	Mauritania

Indicators or Resource Contents

• mauritania-ndvi-at-subnational-level-adm-level-0b4acd61 - Mauritania: NDVI at Subnational Level - adm level
• mauritania-ndvi-at-subnational-level-adm-id-538dd9e2 - Mauritania: NDVI at Subnational Level - adm id
• mauritania-ndvi-at-subnational-level-n-pixels-122aba85 - Mauritania: NDVI at Subnational Level - n pixels
• mauritania-ndvi-at-subnational-level-vim-44de2a2b - Mauritania: NDVI at Subnational Level - vim
• mauritania-ndvi-at-subnational-level-vim-avg-7db9eda3 - Mauritania: NDVI at Subnational Level - vim avg
• mauritania-ndvi-at-subnational-level-viq-ac9bf5b3 - Mauritania: NDVI at Subnational Level - viq

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	mauritania-ndvi-at-subnational-level-adm-level-0b4acd61
indicator_name	string	Human-readable indicator name.	Mauritania: NDVI at Subnational Level - adm level
country_iso3	string	ISO3 country code.	MRT
country_name	string	Country name.	Mauritania
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.	MR07
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	category	Publishing organization.	WFP - World Food Programme
source_dataset	category	Source package title.	Mauritania: NDVI at Subnational Level
source_resource	category	Source resource title.	mrt-ndvi-subnat-5ytd.csv
source_package_id	category	CKAN package UUID.	3bf3db2e-522c-4ab6-b3dc-4a446195de03
source_resource_id	category	CKAN resource UUID.	fdc4b3e3-d148-4fad-859b-6fa8304e2369
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/3bf3db2e-522c-4ab6-b3dc-4a446195de03/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-18T00:06:00Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritania-mauritania-ndvi-at-subnational-level-13457f8c")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MRT"]

Work with indicators

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

@misc{electric_sheep_africa_africa_mauritania_mauritania_ndvi_at_subnational_level_13457f8c_2026,
  title        = {Mauritania: NDVI at Subnational Level | Africa (Mauritania official open data)},
  author       = {WFP - World Food Programme},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/mrt-ndvi-subnational},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritania-mauritania-ndvi-at-subnational-level-13457f8c}}
}

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

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Provenance: ingested 2026-08-18 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/3bf3db2e-522c-4ab6-b3dc-4a446195de03/resource/fdc4b3e3-d148-4fad-859b-6fa8304e2369/download/mrt-ndvi-subnat-5ytd.csv