electricsheepafrica/africa-niger-niger-operational-presence-eaa02ccd

Niger: Operational Presence | Africa (Niger official open data)

1,055 rows - 1 Africa country - 2021-2027 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Niger 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: Niger: Operational Presence
• Publisher: OCHA Niger
• Resource: NER_Oct_2025.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NER	1,055	2021	2027	Niger

Indicators or Resource Contents

• niger-operational-presence-2a0f9d2b - Niger: Operational Presence

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	niger-operational-presence-2a0f9d2b
indicator_name	string	Human-readable indicator name.	Niger: Operational Presence
country_iso3	string	ISO3 country code.	NER
country_name	string	Country name.	Niger
date	string	Observation date.	2027-05-30
year	Int64	Observation year.	2027
value	float64	Numeric observation value.	9450.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_date_de_rapportage	string	Source dimension.	6/24/2025
dimension_acronyme	string	Source dimension.	ACF-E
dimension_nom_organisation	string	Source dimension.	Action Contre La Faim Espagne
dimension_type_d_organisation	string	Source dimension.	ONG Internationale
dimension_type_projet	string	Source dimension.	Resilience
dimension_bailleur_partenaire_financier	string	Source dimension.	``
dimension_secteur_domaine	string	Source dimension.	Agriculture
dimension_cluster	string	Source dimension.	Sécurité Alimentaire
dimension_nom_projet	string	Source dimension.	Projet d'appui à la résilience des populations de trois communes (Tchaké
dimension_nom_activite	string	Source dimension.	Promotion des productions agricoles et pastorale, Développement, Appui à
dimension_ce_projet_est_pris_en_compte_dans_le_plan_de_r	string	Source dimension.	Non
dimension_date_debut	string	Source dimension.	7/1/2024
dimension_etat_projet	string	Source dimension.	En cours
dimension_pcode_1	string	Source dimension.	NE004
dimension_region	string	Source dimension.	Maradi
dimension_pcode_2	string	Source dimension.	NER004008
dimension_departement	string	Source dimension.	Mayahi
dimension_pcode_3	string	Source dimension.	``
dimension_commune	string	Source dimension.	Attantane El Allassane Maïreyrey Tchaké
dimension_presence_physique	string	Source dimension.	Oui
dimension_approche_aap	string	Source dimension.	Oui
dimension_institutionalisation_aap	string	Source dimension.	1. AAP est intégré dans les documents de partenariat
dimension_commentaire	string	Source dimension.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	2025
source_period_end_year	Int64	Last year inferred from source resource metadata.	2025
source_period_label	category	Human-readable period inferred from source resource metadata.	2025
source_provider	category	Publishing organization.	OCHA Niger
source_dataset	category	Source package title.	Niger: Operational Presence
source_resource	category	Source resource title.	NER_Oct_2025.csv
source_package_id	category	CKAN package UUID.	f12c48ac-fff7-4d3f-99dd-08e14f1b08fc
source_resource_id	category	CKAN resource UUID.	3c0e2ee1-88e8-4575-83db-72ad3674e78e
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/f12c48ac-fff7-4d3f-99dd-08e14f1b08fc/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-14T00:35:21Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-niger-niger-operational-presence-eaa02ccd")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "NER"]

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_niger_niger_operational_presence_eaa02ccd_2027,
  title        = {Niger: Operational Presence | Africa (Niger official open data)},
  author       = {OCHA Niger},
  year         = {2027},
  url          = {https://data.humdata.org/dataset/niger-operational-presence},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-niger-niger-operational-presence-eaa02ccd}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Niger. 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 2026-08-14 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/f12c48ac-fff7-4d3f-99dd-08e14f1b08fc/resource/3c0e2ee1-88e8-4575-83db-72ad3674e78e/download/ner_oct_2025.csv