electricsheepafrica/africa-mauritania-mauritania-gcf-funded-activities-44a273f0

Mauritania - GCF Funded Activities | Africa (Mauritania official open data)

8 rows - 1 Africa country - not-applicable - 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 - GCF Funded Activities
• Publisher: Green Climate Fund
• Resource: Climate funded activities
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MRT	8	n/a	n/a	Mauritania

Indicators or Resource Contents

• mauritania-gcf-funded-activities-507db580 - Mauritania - GCF Funded Activities

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	mauritania-gcf-funded-activities-507db580
indicator_name	string	Human-readable indicator name.	Mauritania - GCF Funded Activities
country_iso3	string	ISO3 country code.	MRT
country_name	string	Country name.	Mauritania
date	string	Observation date.	2028-04-20
year	Int64	Observation year.	2028
value	float64	Numeric observation value.	18500000.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_ref	string	Source dimension.	FP151
dimension_modality	string	Source dimension.	FP
dimension_project_name	string	Source dimension.	Global Subnational Climate Fund (SnCF Global) – Technical Assistance (TA
dimension_entity	string	Source dimension.	IUCN
dimension_countries	string	Source dimension.	Albania, Brazil, Burkina Faso, Cambodia, Cameroon, Chile, Costa Rica, Co
dimension_country_codes	string	Source dimension.	ALB, BRA, BFA, KHM, CMR, CHL, CRI, CIV, DMA, DOM, ECU, SLV, FJI, GAB, GT
dimension_board_meeting	string	Source dimension.	B.27
dimension_sector	string	Source dimension.	Private
dimension_theme	string	Source dimension.	Mitigation
dimension_project_size	string	Source dimension.	Large
dimension_approval_date	string	Source dimension.	November 13, 2020
dimension_ess_category	string	Source dimension.	Intermediation 2
dimension_result_areas	string	Source dimension.	Energy generation and access, Buildings, cities, industries, and applian
dimension_status	string	Source dimension.	Under Implementation
dimension_project_url	string	Source dimension.	https://www.greenclimate.fund/project/FP151
dimension_api_url	string	Source dimension.	http://api.gcfund.org/v1/projects/24780
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.	Green Climate Fund
source_dataset	category	Source package title.	Mauritania - GCF Funded Activities
source_resource	category	Source resource title.	Climate funded activities
source_package_id	category	CKAN package UUID.	063c8b78-586d-46c3-9ec4-65d8c415584f
source_resource_id	category	CKAN resource UUID.	f13069af-dcca-48d7-9a50-b4aa6d4d9179
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/063c8b78-586d-46c3-9ec4-65d8c415584f/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-gcf-funded-activities-44a273f0")
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_gcf_funded_activities_44a273f0_2026,
  title        = {Mauritania - GCF Funded Activities | Africa (Mauritania official open data)},
  author       = {Green Climate Fund},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/mauritania-gcf-funded-activities},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritania-mauritania-gcf-funded-activities-44a273f0}}
}

License

Released under CC BY 4.0.

Original data (c) Green Climate Fund. 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/063c8b78-586d-46c3-9ec4-65d8c415584f/resource/f13069af-dcca-48d7-9a50-b4aa6d4d9179/download/mauritania-gcf-funded-activities.csv