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electricsheepasia/asia-owid-nitrous-oxide-emissions-by-sector

Nitrous Oxide Emissions By Sector | Asia (Our World in Data) 🌏 1,598 observations · 47 Asia countries · 1990–2023 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,598 observations of Nitrous Oxide Emissions By Sector data across 47 Asia countries, spanning 1990–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Nitrous Oxide Emissions By Sector Geographic… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-nitrous-oxide-emissions-by-sector.

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Dataset Card

Nitrous Oxide Emissions By Sector | Asia (Our World in Data)

🌏 1,598 observations · 47 Asia countries · 1990–2023 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 1,598 observations of Nitrous Oxide Emissions By Sector data across 47 Asia countries, spanning 1990–2023.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
AFG3419902023
ARE3419902023
ARM3419902023
AZE3419902023
BGD3419902023
BHR3419902023
BRN3419902023
BTN3419902023
CHN3419902023
CYP3419902023
GEO3419902023
IDN3419902023
IND3419902023
IRN3419902023
IRQ3419902023
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—1990
Agriculturefloat64—2400000.0
Industryfloat64—90000.0
Other fuel combustionfloat64—0.0
Wastefloat64—90000.0
Land-use change and forestryfloat64—0.0
Fugitive emissionsfloat64—0.0
Buildingsfloat64—0.0
Electricity and heatfloat64—0.0
Manufacturing and constructionfloat64—0.0
Aviation and shippingfloat64—0.0
Transportfloat64—0.0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-nitrous-oxide-emissions-by-sector")
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="Agriculture")

Citation

bibtex
@misc{asia_owid_nitrous_oxide_emissions_by_sector_2023,
  title        = {Nitrous Oxide Emissions By Sector | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/nitrous-oxide-emissions-by-sector},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-nitrous-oxide-emissions-by-sector}}
}

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 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/nitrous-oxide-emissions-by-sector