CoolFace
Datasetpublic

electricsheepasia/asia-owid-number-of-accessions-of-plant-genetic-resources-secured-in-conservation-facilities

Number Of Accessions Of Plant Genetic Resources Secured In Conservation Facilities | Asia (Our World in Data) 🌏 420 observations Β· 28 Asia countries Β· 1995–2024 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 420 observations of Number Of Accessions Of Plant Genetic Resources Secured In Conservation Facilities data across 28 Asia countries, spanning 1995–2024. About the source Source: Our World in Data Publisher: Our World in… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-number-of-accessions-of-plant-genetic-resources-secured-in-conservation-facilities.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes5downloads
Dataset Card

Number Of Accessions Of Plant Genetic Resources Secured In Conservation Facilities | Asia (Our World in Data)

🌏 420 observations Β· 28 Asia countries Β· 1995–2024 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 420 observations of Number Of Accessions Of Plant Genetic Resources Secured In Conservation Facilities data across 28 Asia countries, spanning 1995–2024.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Number Of Accessions Of Plant Genetic Resources Secured In Conservation Facilities

Geographic coverage

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

CountryRowsFirst yearLast year
AFG1519952024
ARM1519952024
AZE1519952024
BGD1519952024
BTN1519952024
CYP1519952024
GEO1519952024
IDN1519952024
IND1519952024
ISR1519952024
JOR1519952024
JPN1519952024
KGZ1519952024
LBN1519952024
LKA1519952024
...13 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”1995
Plant genetic resources accessions stored ex situ (number)int64β€”0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-number-of-accessions-of-plant-genetic-resources-secured-in-conservation-facilities")
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="Plant genetic resources accessions stored ex situ (number)")

Citation

bibtex
@misc{asia_owid_number_of_accessions_of_plant_genetic_resources_secured_in_conservation_facilities_2024,
  title        = {Number Of Accessions Of Plant Genetic Resources Secured In Conservation Facilities | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/number-of-accessions-of-plant-genetic-resources-secured-in-conservation-facilities},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-number-of-accessions-of-plant-genetic-resources-secured-in-conservation-facilities}}
}

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 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/number-of-accessions-of-plant-genetic-resources-secured-in-conservation-facilities