electricsheepafrica/africa-tunisia-station-climatique-kairouan-el-alaa-dgacta-b638c366

Station Climatique [Kairouan El Alâa] DGACTA | Africa (Tunisia official open data)

9 rows - 1 Africa country - 2025 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Tunisia as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Station Climatique [Kairouan El Alâa] DGACTA
• Publisher: Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche
• Resource: Capteur d'environnement de la station climatique
• Format: CSV
• License: Licence Nationale de Données Publiques Ouvertes
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
TUN	9	2025	2025	Tunisia

Indicators or Resource Contents

• station-climatique-kairouan-el-alaa-dgacta-03a7c2d1 - Station Climatique [Kairouan El Alâa] DGACTA

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	station-climatique-kairouan-el-alaa-dgacta-03a7c2d1
indicator_name	string	Human-readable indicator name.	Station Climatique [Kairouan El Alâa] DGACTA
country_iso3	string	ISO3 country code.	TUN
country_name	string	Country name.	Tunisia
year	Int64	Observation year.	2025
value	float64	Numeric observation value.	0.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_nom_ar	string	Source dimension.	Évapotranspiration Horaire
dimension_nom_fr	string	Source dimension.	Évapotranspiration Horaire
dimension_unite	string	Source dimension.	mm/h
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	string	Publishing organization.	Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche
source_dataset	string	Source package title.	Station Climatique [Kairouan El Alâa] DGACTA
source_resource	string	Source resource title.	Capteur d'environnement de la station climatique
source_package_id	string	CKAN package UUID.	771dc061-9d84-426f-915e-b1e02403f9cb
source_resource_id	string	CKAN resource UUID.	c5eaf60b-21ee-4e5a-a7d2-7202b5858059
source_url	string	Original source resource URL.	https://catalog.agridata.tn/dataset/3706e1a5-4490-4421-a365-730b459101b1
license_id	string	Source license identifier.	licence-nationale-de-données-publiques-ouvertes
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T23:08:36Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tunisia-station-climatique-kairouan-el-alaa-dgacta-b638c366")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "TUN"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_tunisia_station_climatique_kairouan_el_alaa_dgacta_b638c366_2025,
  title        = {Station Climatique [Kairouan El Alâa] DGACTA | Africa (Tunisia official open data)},
  author       = {Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche},
  year         = {2025},
  url          = {https://catalog.data.gov.tn/dataset/station-climatique-kairouan-el-alaa-dgacta},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-station-climatique-kairouan-el-alaa-dgacta-b638c366}}
}

License

Released under Licence Nationale de Données Publiques Ouvertes.

Original data (c) Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. 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/electricsheepafrica

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Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: https://catalog.agridata.tn/dataset/3706e1a5-4490-4421-a365-730b459101b1/resource/86604779-e8bf-4ab2-a80a-0b822edf80ba/download/ac_517m7xc_capteur-denvironnement-de-la-station-climatique.csv