electricsheepasia/asia-owid-yield-gap-vs-nitrogen-pollution

Yield Gap Vs Nitrogen Pollution | Asia (Our World in Data)

🌏 39 observations · 39 Asia countries · 2020–2020 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 39 observations of Yield Gap Vs Nitrogen Pollution data across 39 Asia countries, spanning 2020–2020.

About the source

• Source: Our World in Data
• Publisher: Our World in Data
• License: cc-by-4.0
• Topic: Yield Gap Vs Nitrogen Pollution

Geographic coverage

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

Country	Rows	First year	Last year
AFG	1	2020	2020
ARE	1	2020	2020
ARM	1	2020	2020
AZE	1	2020	2020
BGD	1	2020	2020
BRN	1	2020	2020
BTN	1	2020	2020
CHN	1	2020	2020
GEO	1	2020	2020
IDN	1	2020	2020
IND	1	2020	2020
IRN	1	2020	2020
IRQ	1	2020	2020
ISR	1	2020	2020
JOR	1	2020	2020
...	24 more countries

Schema

Column	Type	Description	Example
country_name	string	—	Afghanistan
country_iso3	string	—	AFG
year	int64	—	2020
Yield gap versus nitrogen pollution effect	float64	—	-50.44543

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-yield-gap-vs-nitrogen-pollution")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Yield gap versus nitrogen pollution effect")

Citation

@misc{asia_owid_yield_gap_vs_nitrogen_pollution_2020,
  title        = {Yield Gap Vs Nitrogen Pollution | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2020},
  url          = {https://ourworldindata.org/grapher/yield-gap-vs-nitrogen-pollution},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-yield-gap-vs-nitrogen-pollution}}
}

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

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Provenance: ingested 2026-06-13 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/yield-gap-vs-nitrogen-pollution