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electricsheepasia/asia-owid-annual-pm25-emissions-from-wildfires

Annual Pm25 Emissions From Wildfires | Asia (Our World in Data) 🌏 1,176 observations · 49 Asia countries · 2003–2026 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,176 observations of Annual Pm25 Emissions From Wildfires data across 49 Asia countries, spanning 2003–2026. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Annual Pm25 Emissions From Wildfires… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-annual-pm25-emissions-from-wildfires.

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Dataset Card

Annual Pm25 Emissions From Wildfires | Asia (Our World in Data)

🌏 1,176 observations · 49 Asia countries · 2003–2026 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 1,176 observations of Annual Pm25 Emissions From Wildfires data across 49 Asia countries, spanning 2003–2026.

About the source

Geographic coverage

49 Asia countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
AFG2420032026
ARE2420032026
ARM2420032026
AZE2420032026
BGD2420032026
BHR2420032026
BRN2420032026
BTN2420032026
CHN2420032026
CYP2420032026
GEO2420032026
IDN2420032026
IND2420032026
IRN2420032026
IRQ2420032026
...34 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—2003
Annual PM2.5 emissions from wildfiresfloat64—2038.63

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-annual-pm25-emissions-from-wildfires")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Annual PM2.5 emissions from wildfires")

Citation

bibtex
@misc{asia_owid_annual_pm25_emissions_from_wildfires_2026,
  title        = {Annual Pm25 Emissions From Wildfires | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2026},
  url          = {https://ourworldindata.org/grapher/annual-pm25-emissions-from-wildfires},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-annual-pm25-emissions-from-wildfires}}
}

License

Released under cc-by-4.0.

Original data © Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia on HuggingFace. 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/electricsheepasia


Provenance: ingested 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/annual-pm25-emissions-from-wildfires