Datasetpublic

electricsheepasia/asia-faostat-emissions-from-forests-gf

Emissions from Forests — Asia Source: FAOSTAT — Emissions from Forests Domain code: GF Publisher: Food and Agriculture Organization of the United Nations (FAO) Coverage: 44 Asian countries · 1990–2025 · 10,693 rows Items: 3 · Elements: 2 About FAOSTAT is the world's largest and most comprehensive statistical database on food, agriculture, fisheries, forestry, and rural development. This dataset contains the Emissions from Forests domain filtered to all available… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-faostat-emissions-from-forests-gf.

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Dataset Card

Emissions from Forests — Asia

Source: FAOSTAT — Emissions from Forests Domain code: GF Publisher: Food and Agriculture Organization of the United Nations (FAO) Coverage: 44 Asian countries · 1990–2025 · 10,693 rows Items: 3 · Elements: 2

About

FAOSTAT is the world's largest and most comprehensive statistical database on food, agriculture, fisheries, forestry, and rural development. This dataset contains the Emissions from Forests domain filtered to all available Asian countries, repackaged in ML-ready Parquet format by Electric Sheep Asia.

Schema

Column	Type
`Domain Code`	object
`Domain`	object
`Area Code`	int64
`Area`	object
`Element Code`	int64
`Element`	object
`Item Code`	int64
`Item`	object
`Year Code`	int64
`Year`	object
`Source Code`	int64
`Source`	object
`Unit`	object
`Value`	float64

Usage

python

from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-faostat-gf")
df = ds["train"].to_pandas()

Citation

@misc{faostat_gf_asia,
  title     = {Emissions from Forests — Asia},
  author    = {Food and Agriculture Organization of the United Nations},
  year      = {2025},
  url       = {https://www.fao.org/faostat/en/#data/GF},
  note      = {Repackaged by Electric Sheep Asia}
}

License

CC BY 4.0 — FAO open data.