Datasetpublic

electricsheepeurope/europe-owid-cumulative-area-burnt-by-wildfires-by-week

Cumulative Area Burnt By Wildfires By Week | Europe (Our World in Data) 🇪🇺 2,288 observations · 44 Europe countries · 1–52 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 2,288 observations of Cumulative Area Burnt By Wildfires By Week data across 44 Europe countries, spanning 1–52. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Cumulative Area Burnt By Wildfires By Week… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-cumulative-area-burnt-by-wildfires-by-week.

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Dataset Card

Cumulative Area Burnt By Wildfires By Week | Europe (Our World in Data)

🇪🇺 2,288 observations · 44 Europe countries · 1–52 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 2,288 observations of Cumulative Area Burnt By Wildfires By Week data across 44 Europe countries, spanning 1–52.

About the source

—Source: Our World in Data
—Publisher: Our World in Data
—License: cc-by-4.0
—Topic: Cumulative Area Burnt By Wildfires By Week

Geographic coverage

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

Country	Rows	First year	Last year
`ALB`	52	1	52
`AND`	52	1	52
`AUT`	52	1	52
`BEL`	52	1	52
`BGR`	52	1	52
`BIH`	52	1	52
`BLR`	52	1	52
`CHE`	52	1	52
`CZE`	52	1	52
`DEU`	52	1	52
`DNK`	52	1	52
`ESP`	52	1	52
`EST`	52	1	52
`FIN`	52	1	52
`FRA`	52	1	52
...	29 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Albania`
`country_iso3`	`string`	—	`ALB`
`year`	`int64`	—	`1`
`2024`	`int64`	—	`0`
`2023`	`int64`	—	`0`
`2022`	`int64`	—	`0`
`2021`	`int64`	—	`0`
`2020`	`int64`	—	`317`
`2019`	`int64`	—	`0`
`2018`	`int64`	—	`0`
`2017`	`int64`	—	`0`
`2016`	`int64`	—	`507`
`2015`	`int64`	—	`0`
`2014`	`int64`	—	`0`
`2013`	`int64`	—	`185`
`2012`	`int64`	—	`0`
`2025`	`int64`	—	`0`
`2026`	`float64`	—	`0.0`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-cumulative-area-burnt-by-wildfires-by-week")
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="2024")

Citation

bibtex

@misc{europe_owid_cumulative_area_burnt_by_wildfires_by_week_52,
  title        = {Cumulative Area Burnt By Wildfires By Week | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {52},
  url          = {https://ourworldindata.org/grapher/cumulative-area-burnt-by-wildfires-by-week},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-cumulative-area-burnt-by-wildfires-by-week}}
}

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 2026-06-03 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/cumulative-area-burnt-by-wildfires-by-week