electricsheepafrica/africa-senegal-variation-des-anomalies-des-temperatures-dans-la-region-de-8e1dc6ad

Variation des anomalies des temperatures dans la region de sedhiou | Africa (Senegal official open data)

3,545 rows - 1 Africa country - 1900-1991 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Senegal 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: Variation des anomalies des temperatures dans la region de sedhiou
• Publisher: ANACIM
• Resource: Annomalies des temperatures version 1
• Format: XLSX
• License: Open Data Commons Attribution License
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
SEN	3,545	1900	1991	Senegal

Indicators or Resource Contents

• variation-des-anomalies-des-temperatures-dans-la-region-de-sedhiou-annee-01935c0d - Variation des anomalies des temperatures dans la region de sedhiou - annee
• variation-des-anomalies-des-temperatures-dans-la-region-de-sedhiou-anoma-23e0f3b6 - Variation des anomalies des temperatures dans la region de sedhiou - anomalies dd en jours
• variation-des-anomalies-des-temperatures-dans-la-region-de-sedhiou-anoma-e46ee4c6 - Variation des anomalies des temperatures dans la region de sedhiou - anomalies df en jours
• variation-des-anomalies-des-temperatures-dans-la-region-de-sedhiou-longu-cbbf7aaf - Variation des anomalies des temperatures dans la region de sedhiou - longueurs en jours
• variation-des-anomalies-des-temperatures-dans-la-region-de-sedhiou-8e1dc6ad - Variation des anomalies des temperatures dans la region de sedhiou

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	variation-des-anomalies-des-temperatures-dans-la-region-de-sedhiou-annee
indicator_name	string	Human-readable indicator name.	Variation des anomalies des temperatures dans la region de sedhiou - ann
country_iso3	string	ISO3 country code.	SEN
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Bakel
country_name	string	Country name.	Senegal
year	Int64	Observation year.	1900
value	float64	Numeric observation value.	1981.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_dates_de_debut_dd	string	Source dimension.	1900-07-04 00:00:00
dimension_normale_dd	string	Source dimension.	1900-07-10 00:00:00
dimension_dates_de_fin	string	Source dimension.	1900-09-24 00:00:00
source_period_start_year	Int64	First year inferred from source resource metadata.	1999
source_period_end_year	Int64	Last year inferred from source resource metadata.	2023
source_period_label	category	Human-readable period inferred from source resource metadata.	1999-2023
source_provider	category	Publishing organization.	ANACIM
source_dataset	category	Source package title.	Variation des anomalies des temperatures dans la region de sedhiou
source_resource	category	Source resource title.	Annomalies des temperatures version 1
source_package_id	category	CKAN package UUID.	44dc6ac6-286d-4be2-a1b7-f5262dd98350
source_resource_id	category	CKAN resource UUID.	a2d012fd-3a6e-4d11-9e27-c4fff6350368
source_url	category	Original source resource URL.	https://agridata.ansd.sn/dataset/44dc6ac6-286d-4be2-a1b7-f5262dd98350/re
license_id	category	Source license identifier.	odc-by
retrieved_at	category	UTC retrieval timestamp.	2026-07-27T11:04:43Z
dimension_dates_de_fin_dd	string	Source dimension.	``
dimension_dates_de_fin_df	string	Source dimension.	``
dimension_dates_de_debut	string	Source dimension.	``
dimension_normale_df	string	Source dimension.	``
dimension_d_15	string	Source dimension.	``
dimension_d_31	string	Source dimension.	``
dimension_d_81	string	Source dimension.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-senegal-variation-des-anomalies-des-temperatures-dans-la-region-de-8e1dc6ad")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "SEN"]

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_senegal_variation_des_anomalies_des_temperatures_dans_la_region_de_8e1dc6_1991,
  title        = {Variation des anomalies des temperatures dans la region de sedhiou | Africa (Senegal official open data)},
  author       = {ANACIM},
  year         = {1991},
  url          = {https://agridata.ansd.sn/dataset/variationdestemperaturessedhiou},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-variation-des-anomalies-des-temperatures-dans-la-region-de-8e1dc6ad}}
}

License

Released under Open Data Commons Attribution License.

Original data (c) ANACIM. 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 2026-07-27 via the Electric Sheep pipeline. Source URL: https://agridata.ansd.sn/dataset/44dc6ac6-286d-4be2-a1b7-f5262dd98350/resource/a2d012fd-3a6e-4d11-9e27-c4fff6350368/download/anomalies-dd-df.xlsx