CoolFace
Datasetpublic

electricsheepeurope/europe-owid-implementation-of-integrated-water-resource-management

Implementation Of Integrated Water Resource Management | Europe (Our World in Data) 🇪🇺 125 observations · 42 Europe countries · 2017–2023 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 125 observations of Implementation Of Integrated Water Resource Management data across 42 Europe countries, spanning 2017–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Implementation… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-implementation-of-integrated-water-resource-management.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes7downloads
Dataset Card

Implementation Of Integrated Water Resource Management | Europe (Our World in Data)

🇪🇺 125 observations · 42 Europe countries · 2017–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 125 observations of Implementation Of Integrated Water Resource Management data across 42 Europe countries, spanning 2017–2023.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Implementation Of Integrated Water Resource Management

Geographic coverage

42 Europe countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
AND320172023
AUT320172023
BEL320172023
BGR320172023
BIH320172023
BLR320172023
CHE320172023
CZE320172023
DEU320172023
DNK320172023
ESP320172023
EST320172023
FIN320172023
FRA320172023
GBR320172023
...27 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Andorra
country_iso3string—AND
yearint64—2017
Degree of integrated water resources management implementation (%)int64—36

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-implementation-of-integrated-water-resource-management")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Degree of integrated water resources management implementation (%)")

Citation

bibtex
@misc{europe_owid_implementation_of_integrated_water_resource_management_2023,
  title        = {Implementation Of Integrated Water Resource Management | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/implementation-of-integrated-water-resource-management},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-implementation-of-integrated-water-resource-management}}
}

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 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/implementation-of-integrated-water-resource-management