Datasets:

electricsheepafrica
/

africa-tunisia-station-climatique-sidi-bouzid-crra-dgacta-553a1253

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 [Sidi Bouzid - CRRA] DGACTA | Africa (Tunisia official open
  data)

Station Climatique [Sidi Bouzid - CRRA] DGACTA | Africa (Tunisia official open data)

243 rows - 1 Africa country - 2026 - 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 [Sidi Bouzid - CRRA] DGACTA
Publisher: Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche
Resource: Capteur d'humidité du sol à 10 cm 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`	243	2026	2026	`Tunisia`

Indicators or Resource Contents

station-climatique-sidi-bouzid-crra-dgacta-02924dad - Station Climatique [Sidi Bouzid - CRRA] DGACTA

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`station-climatique-sidi-bouzid-crra-dgacta-02924dad`
`indicator_name`	`string`	Human-readable indicator name.	`Station Climatique [Sidi Bouzid - CRRA] DGACTA`
`country_iso3`	`string`	ISO3 country code.	`TUN`
`country_name`	`string`	Country name.	`Tunisia`
`year`	`Int64`	Observation year.	`2026`
`value`	`float64`	Numeric observation value.	`-1.9`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`dimension_nom_ar`	`string`	Source dimension.	`Contenu volumétrique d'eau`
`dimension_nom_fr`	`string`	Source dimension.	`Contenu volumétrique d'eau`
`dimension_unite`	`string`	Source dimension.	`%`
`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 [Sidi Bouzid - CRRA] DGACTA`
`source_resource`	`string`	Source resource title.	`Capteur d'humidité du sol à 10 cm de la station climatique`
`source_package_id`	`string`	CKAN package UUID.	`01cea4d8-da80-471b-8fe5-83b35ef7aa64`
`source_resource_id`	`string`	CKAN resource UUID.	`c56cb948-339b-49f6-b55a-f7ed38ce6408`
`source_url`	`string`	Original source resource URL.	`https://catalog.agridata.tn/dataset/941e18ea-8a6b-4618-8037-61e4c67bb648`
`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-sidi-bouzid-crra-dgacta-553a1253")
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_sidi_bouzid_crra_dgacta_553a1253_2026,
  title        = {Station Climatique [Sidi Bouzid - CRRA] DGACTA | Africa (Tunisia official open data)},
  author       = {Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche},
  year         = {2026},
  url          = {https://catalog.data.gov.tn/dataset/station-climatique-sidi-bouzid-crra-dgacta},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-station-climatique-sidi-bouzid-crra-dgacta-553a1253}}
}

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/941e18ea-8a6b-4618-8037-61e4c67bb648/resource/d252cde8-f6f6-4b16-beb5-88733963cd63/download/ac_pf909m4_capteur-dhumidite-du-sol-a-10-cm-de-la-station-climatique.csv