electricsheepafrica/africa-cameroon-cameroon-greenhouse-gas-and-air-pollutant-emissions-b4678587

Cameroon: Greenhouse Gas and Air Pollutant Emissions | Africa (Cameroon official open data)

3,852 rows - 1 Africa country - 2024-2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Cameroon 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: Cameroon: Greenhouse Gas and Air Pollutant Emissions
• Publisher: Climate TRACE
• Resource: cmr_pm2_5_source.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CMR	3,852	2024	2026	Cameroon

Indicators or Resource Contents

• cameroon-greenhouse-gas-and-air-pollutant-emissions-id-f6d627a1 - Cameroon: Greenhouse Gas and Air Pollutant Emissions - id
• cameroon-greenhouse-gas-and-air-pollutant-emissions-emissionsquantity-7e3bebc5 - Cameroon: Greenhouse Gas and Air Pollutant Emissions - emissionsquantity
• cameroon-greenhouse-gas-and-air-pollutant-emissions-emissionsfactor-f1e8a86e - Cameroon: Greenhouse Gas and Air Pollutant Emissions - emissionsfactor
• cameroon-greenhouse-gas-and-air-pollutant-emissions-activity-bf2ad803 - Cameroon: Greenhouse Gas and Air Pollutant Emissions - activity
• cameroon-greenhouse-gas-and-air-pollutant-emissions-capacity-46017eb8 - Cameroon: Greenhouse Gas and Air Pollutant Emissions - capacity
• cameroon-greenhouse-gas-and-air-pollutant-emissions-capacityfactor-0a9e7957 - Cameroon: Greenhouse Gas and Air Pollutant Emissions - capacityfactor

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	cameroon-greenhouse-gas-and-air-pollutant-emissions-id-f6d627a1
indicator_name	string	Human-readable indicator name.	Cameroon: Greenhouse Gas and Air Pollutant Emissions - id
country_iso3	string	ISO3 country code.	CMR
country_name	string	Country name.	Cameroon
year	Int64	Observation year.	2024
value	float64	Numeric observation value.	1281540.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_name	string	Source dimension.	Mfoundi Department
dimension_sector	string	Source dimension.	buildings
dimension_subsector	string	Source dimension.	residential-onsite-fuel-usage
dimension_country	string	Source dimension.	CMR
dimension_assettype	string	Source dimension.	``
dimension_sourcetype	string	Source dimension.	gadm-aggregation
dimension_centroid	string	Source dimension.	{'longitude': 11.49483304970797, 'latitude': 3.8748158215000785, 'srid':
dimension_gas	string	Source dimension.	pm2_5
dimension_emissionsfactorunits	string	Source dimension.	t of PM2_5 per MJ
dimension_activityunits	string	Source dimension.	MJ
dimension_capacityunits	string	Source dimension.	m^2
source_period_start_year	Int64	First year inferred from source resource metadata.	2015
source_period_end_year	Int64	Last year inferred from source resource metadata.	2021
source_period_label	category	Human-readable period inferred from source resource metadata.	2015-2021
source_provider	category	Publishing organization.	Climate TRACE
source_dataset	category	Source package title.	Cameroon: Greenhouse Gas and Air Pollutant Emissions
source_resource	category	Source resource title.	cmr_pm2_5_source.csv
source_package_id	category	CKAN package UUID.	54b554a2-e4fb-4e68-af7a-d4e868c8bac0
source_resource_id	category	CKAN resource UUID.	bf24dd33-f726-471c-ab44-3585ab96fee9
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/54b554a2-e4fb-4e68-af7a-d4e868c8bac0/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-25T16:58:39Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cameroon-cameroon-greenhouse-gas-and-air-pollutant-emissions-b4678587")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "CMR"]

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_cameroon_cameroon_greenhouse_gas_and_air_pollutant_emissions_b4678587_2026,
  title        = {Cameroon: Greenhouse Gas and Air Pollutant Emissions | Africa (Cameroon official open data)},
  author       = {Climate TRACE},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/cmr-climate-trace},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cameroon-cameroon-greenhouse-gas-and-air-pollutant-emissions-b4678587}}
}

License

Released under CC BY 4.0.

Original data (c) Climate TRACE. 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 2026-08-25 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/54b554a2-e4fb-4e68-af7a-d4e868c8bac0/resource/bf24dd33-f726-471c-ab44-3585ab96fee9/download/cmr_pm2_5_source.csv