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electricsheepafrica
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africa-tunisia-station-climatique-bou-salem-balta-dgacta-70959e47

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Tabular Regression
Time Series Forecasting
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africa
tunisia
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metadata 
license: other
language:
  - en
task_categories:
  - tabular-regression
  - time-series-forecasting
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - csv
  - africa
  - tunisia
  - official-statistics
  - open-data
pretty_name: >-
  Station Climatique [Bou Salem Balta] DGACTA | Africa (Tunisia official open
  data)

Station Climatique [Bou Salem Balta] DGACTA | Africa (Tunisia official open data)

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

rows countries years indicators license

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

Geographic coverage

1 Africa country:

Country Rows First year Last year Name
TUN 18 2025 2025 Tunisia

Indicators or Resource Contents

  • station-climatique-bou-salem-balta-dgacta-786a55a1 - Station Climatique [Bou Salem Balta] DGACTA

Schema

Column Type Description Example
indicator_id string Stable indicator identifier. station-climatique-bou-salem-balta-dgacta-786a55a1
indicator_name string Human-readable indicator name. Station Climatique [Bou Salem Balta] DGACTA
country_iso3 string ISO3 country code. TUN
country_name string Country name. Tunisia
year Int64 Observation year. 2025
value float64 Numeric observation value. 778.8
unit string Measurement unit, when available. source_units_unspecified
dimension_nom_ar string Source dimension. L'humidité du sol
dimension_nom_fr string Source dimension. L'humidité du sol
dimension_unite string Source dimension. mV
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 [Bou Salem Balta] DGACTA
source_resource string Source resource title. Capteur d'humidité du sol à 20 cm de la station climatique
source_package_id string CKAN package UUID. b6245fe8-08d4-4c3e-84ac-853c6078cd0d
source_resource_id string CKAN resource UUID. 2be2b89e-8e86-4caa-bcde-2cdb66ee6a72
source_url string Original source resource URL. https://catalog.agridata.tn/dataset/168f14e1-7471-4102-b6b7-9fa487dca95e
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-bou-salem-balta-dgacta-70959e47")
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_bou_salem_balta_dgacta_70959e47_2025,
  title        = {Station Climatique [Bou Salem Balta] 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-bou-salem-balta-dgacta},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-station-climatique-bou-salem-balta-dgacta-70959e47}}
}

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

Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: https://catalog.agridata.tn/dataset/168f14e1-7471-4102-b6b7-9fa487dca95e/resource/f8c846bd-566e-4136-904e-f7bc6ef48be7/download/ac_vg375wn_capteur-dhumidite-du-sol-a-20-cm-de-la-station-climatique.csv