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electricsheepeurope/europe-owid-availability-of-computed-tomography-ct-imaging

Availability Of Computed Tomography Ct Imaging | Europe (Our World in Data) 🇪🇺 74 observations · 34 Europe countries · 2010–2021 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 74 observations of Availability Of Computed Tomography Ct Imaging data across 34 Europe countries, spanning 2010–2021. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Availability Of Computed… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-availability-of-computed-tomography-ct-imaging.

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Dataset Card

Availability Of Computed Tomography Ct Imaging | Europe (Our World in Data)

🇪🇺 74 observations · 34 Europe countries · 2010–2021 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 74 observations of Availability Of Computed Tomography Ct Imaging data across 34 Europe countries, spanning 2010–2021.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Availability Of Computed Tomography Ct Imaging

Geographic coverage

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

CountryRowsFirst yearLast year
AUT320102018
CZE320102018
POL320102018
EST320102018
ESP320102018
DNK320102018
ISL320102018
HUN320102018
IRL320102018
LTU320102021
LUX320102021
NLD320102021
SVN320102018
ALB220102013
GRC220132018
...19 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—2010
Total density per million population, computed tomography unitsfloat64—5.31

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-availability-of-computed-tomography-ct-imaging")
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="Total density per million population, computed tomography units")

Citation

bibtex
@misc{europe_owid_availability_of_computed_tomography_ct_imaging_2021,
  title        = {Availability Of Computed Tomography Ct Imaging | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2021},
  url          = {https://ourworldindata.org/grapher/availability-of-computed-tomography-ct-imaging},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-availability-of-computed-tomography-ct-imaging}}
}

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 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/availability-of-computed-tomography-ct-imaging