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electricsheepasia/asia-owid-national-progress-towards-aichi-biodiversity-target-2

National Progress Towards Aichi Biodiversity Target 2 | Asia (Our World in Data) 🌏 48 observations · 48 Asia countries · 2022–2022 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 48 observations of National Progress Towards Aichi Biodiversity Target 2 data across 48 Asia countries, spanning 2022–2022. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: National Progress Towards… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-national-progress-towards-aichi-biodiversity-target-2.

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Dataset Card

National Progress Towards Aichi Biodiversity Target 2 | Asia (Our World in Data)

🌏 48 observations · 48 Asia countries · 2022–2022 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 48 observations of National Progress Towards Aichi Biodiversity Target 2 data across 48 Asia countries, spanning 2022–2022.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: National Progress Towards Aichi Biodiversity Target 2

Geographic coverage

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

CountryRowsFirst yearLast year
AFG120222022
ARE120222022
ARM120222022
AZE120222022
BGD120222022
BHR120222022
BRN120222022
BTN120222022
CHN120222022
CYP120222022
GEO120222022
IDN120222022
IND120222022
IRN120222022
IRQ120222022
...33 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—2022
Countries that established national targets in accordance with Aichi Biodiversity Target 2 of the Strategic Plan for Biodiversity 2011-2020 in their National Biodiversity Strategy and Action Plans (1 = YES; 0 = NO)string—No national target reflecting ABT 2

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-national-progress-towards-aichi-biodiversity-target-2")
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="Countries that established national targets in accordance with Aichi Biodiversity Target 2 of the Strategic Plan for Biodiversity 2011-2020 in their National Biodiversity Strategy and Action Plans (1 = YES; 0 = NO)")

Citation

bibtex
@misc{asia_owid_national_progress_towards_aichi_biodiversity_target_2_2022,
  title        = {National Progress Towards Aichi Biodiversity Target 2 | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2022},
  url          = {https://ourworldindata.org/grapher/national-progress-towards-aichi-biodiversity-target-2},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-national-progress-towards-aichi-biodiversity-target-2}}
}

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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/national-progress-towards-aichi-biodiversity-target-2