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source_record_id
string
country_iso3
string
country_name
string
year
int64
nom_longitude_latitude_elevation_intervalle_d_enregistre
string
source_period_start_year
int64
source_period_end_year
int64
source_period_label
string
source_provider
string
source_dataset
string
source_resource
string
source_package_id
string
source_resource_id
string
source_url
string
license_id
string
retrieved_at
string
076f8614-1ebd-439a-94b0-62d2b86daa41:0
TUN
Tunisia
1,975
6;15 minutes;14/02/2017 05:08
1,975
1,975
1975
AVFA
DONNÉES CLIMATIQUES STATION JEMNA AVFA
Informations générales
05c35116-30e4-42a7-8416-94634616d7f5
076f8614-1ebd-439a-94b0-62d2b86daa41
https://catalog.agridata.tn/dataset/6f5cccef-8a1c-4cf9-822a-80a1ccfcdf8c/resource/1975fce3-bae1-4cf1-b5ce-a00838203bdd/download/info-general-station-jemna.csv
licence-nationale-de-données-publiques-ouvertes
2026-07-18T23:08:36Z

DONNÉES CLIMATIQUES STATION JEMNA AVFA | Africa (Tunisia official open data)

1 rows - 1 Africa country - 1975 - 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 1 1975 1975 Tunisia

Indicators or Resource Contents

  • This source file is packaged as a normalized tabular resource.

Schema

Column Type Description Example
source_record_id string Stable row identifier for tabular resources. 076f8614-1ebd-439a-94b0-62d2b86daa41:0
country_iso3 string ISO3 country code. TUN
country_name string Country name. Tunisia
year Int64 Observation year. 1975
nom_longitude_latitude_elevation_intervalle_d_enregistre string Source column. 6;15 minutes;14/02/2017 05:08
source_period_start_year Int64 First year inferred from source resource metadata. 1975
source_period_end_year Int64 Last year inferred from source resource metadata. 1975
source_period_label string Human-readable period inferred from source resource metadata. 1975
source_provider string Publishing organization. AVFA
source_dataset string Source package title. DONNÉES CLIMATIQUES STATION JEMNA AVFA
source_resource string Source resource title. Informations générales
source_package_id string CKAN package UUID. 05c35116-30e4-42a7-8416-94634616d7f5
source_resource_id string CKAN resource UUID. 076f8614-1ebd-439a-94b0-62d2b86daa41
source_url string Original source resource URL. https://catalog.agridata.tn/dataset/6f5cccef-8a1c-4cf9-822a-80a1ccfcdf8c
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-donnees-climatiques-station-jemna-avfa-b4f541e8")
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_donnees_climatiques_station_jemna_avfa_b4f541e8_1975,
  title        = {DONNÉES CLIMATIQUES STATION JEMNA AVFA | Africa (Tunisia official open data)},
  author       = {AVFA},
  year         = {1975},
  url          = {https://catalog.data.gov.tn/dataset/donnees-climatiques-jemna-avfa},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-donnees-climatiques-station-jemna-avfa-b4f541e8}}
}

License

Released under Licence Nationale de Données Publiques Ouvertes.

Original data (c) AVFA. 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/6f5cccef-8a1c-4cf9-822a-80a1ccfcdf8c/resource/1975fce3-bae1-4cf1-b5ce-a00838203bdd/download/info-general-station-jemna.csv

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