electricsheepeurope/europe-owid-nitrous-oxide-emissions-by-sector
Nitrous Oxide Emissions By Sector | Europe (Our World in Data) πͺπΊ 1,394 observations Β· 41 Europe countries Β· 1990β2023 Β· Repackaged by Electric Sheep Europe TL;DR This dataset contains 1,394 observations of Nitrous Oxide Emissions By Sector data across 41 Europe countries, spanning 1990β2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Nitrous Oxide Emissions By Sectorβ¦ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-nitrous-oxide-emissions-by-sector.
Nitrous Oxide Emissions By Sector | Europe (Our World in Data)
πͺπΊ 1,394 observations Β· 41 Europe countries Β· 1990β2023 Β· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)
TL;DR
This dataset contains 1,394 observations of Nitrous Oxide Emissions By Sector data across 41 Europe countries, spanning 1990β2023.
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 coverage
41 Europe countries Β· top rows shown below, sorted by row count:
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepeurope/europe-owid-nitrous-oxide-emissions-by-sector")
df = ds["train"].to_pandas()
print(df.head())Filter to one country
germany = df[df["country_iso3"] == "DEU"]Time-series for a single indicator
sample = df.sort_values("year")
sample.plot(x="year", y="Agriculture")Citation
@misc{europe_owid_nitrous_oxide_emissions_by_sector_2023,
title = {Nitrous Oxide Emissions By Sector | Europe (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 Europe},
howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-nitrous-oxide-emissions-by-sector}}
}License
Released under cc-by-4.0.
Original data Β© Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.
About Electric Sheep
Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe 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/electricsheepeurope
Provenance: ingested 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/nitrous-oxide-emissions-by-sector
