electricsheepafrica/africa-tunisia-station-climatique-dggree-jendouba-gda-bouhertma-39ac751a

Station Climatique - DGGREE - Jendouba GDA BOUHERTMA | Africa (Tunisia official open data)

1,188 rows - 1 Africa country - 2024 - 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 - DGGREE - Jendouba GDA BOUHERTMA
• Publisher: Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche
• Resource: Données climatiques de la station
• 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	1,188	2024	2024	Tunisia

Indicators or Resource Contents

• station-climatique-dggree-jendouba-gda-bouhertma-30a329e9 - Station Climatique - DGGREE - Jendouba GDA BOUHERTMA

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	station-climatique-dggree-jendouba-gda-bouhertma-30a329e9
indicator_name	string	Human-readable indicator name.	Station Climatique - DGGREE - Jendouba GDA BOUHERTMA
country_iso3	string	ISO3 country code.	TUN
country_name	string	Country name.	Tunisia
year	Int64	Observation year.	2024
value	float64	Numeric observation value.	382.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_sensor_name	string	Source dimension.	Solar radiation
dimension_aggregation_type	string	Source dimension.	avg
dimension_unit	string	Source dimension.	W/m2
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 - DGGREE - Jendouba GDA BOUHERTMA
source_resource	string	Source resource title.	Données climatiques de la station
source_package_id	string	CKAN package UUID.	104ee625-c0f7-4f71-9c28-9937c5159f6e
source_resource_id	string	CKAN resource UUID.	55cebaf4-a357-4f60-94d5-6769c3e1dc13
source_url	string	Original source resource URL.	https://catalog.agridata.tn/dataset/804ad1f3-7602-49a1-95f6-5cd0ad5b3734
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-dggree-jendouba-gda-bouhertma-39ac751a")
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_dggree_jendouba_gda_bouhertma_39ac751a_2024,
  title        = {Station Climatique - DGGREE - Jendouba GDA BOUHERTMA | Africa (Tunisia official open data)},
  author       = {Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche},
  year         = {2024},
  url          = {https://catalog.data.gov.tn/dataset/station-climatique-dggree-jendouba-gda-bouhertma},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-station-climatique-dggree-jendouba-gda-bouhertma-39ac751a}}
}

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/804ad1f3-7602-49a1-95f6-5cd0ad5b3734/resource/91f1c4b8-ef0e-49e6-896e-ab6af1290fc0/download/station-fc-002131f2.csv