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electricsheepeurope/europe-owid-patents-electric-vehicles

Patents Electric Vehicles | Europe (Our World in Data) 🇪🇺 572 observations · 33 Europe countries · 2000–2024 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 572 observations of Patents Electric Vehicles data across 33 Europe countries, spanning 2000–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Patents Electric Vehicles Geographic coverage 33 Europe… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-patents-electric-vehicles.

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Dataset Card

Patents Electric Vehicles | Europe (Our World in Data)

🇪🇺 572 observations · 33 Europe countries · 2000–2024 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 572 observations of Patents Electric Vehicles data across 33 Europe countries, spanning 2000–2024.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Patents Electric Vehicles

Geographic coverage

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

CountryRowsFirst yearLast year
ESP2520002024
FRA2520002024
DEU2520002024
SWE2520002024
GBR2420002023
NLD2420002023
FIN2420002023
AUT2320002022
ITA2320002022
NOR2320002022
POL2320002022
DNK2320002022
RUS2220002021
PRT2220002023
CZE2220002023
...18 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Austria
country_iso3string—AUT
yearint64—2000
EV machine techfloat64—35.0
EV storagefloat64—20.0
EV managementfloat64—19.0
EV communication techfloat64—3.0
EV charging stationsfloat64—12.0

Data quality & caveats

  • —EV machine tech column has 15.4% null values (filtered to non-null in this dataset).

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-patents-electric-vehicles")
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="EV machine tech")

Citation

bibtex
@misc{europe_owid_patents_electric_vehicles_2024,
  title        = {Patents Electric Vehicles | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/patents-electric-vehicles},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-patents-electric-vehicles}}
}

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/patents-electric-vehicles