electricsheepafrica/africa-senegal-superficies-reboisees-ha-c0ffa6b2

Superficies reboisées (ha) | Africa (Senegal official open data)

1 rows - 1 Africa country - not-applicable - 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: Superficies reboisées (ha)
• Publisher: DPVE
• Resource: META DATA
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
SEN	1	n/a	n/a	Senegal

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.	16280c9b-7c44-4d60-8052-98e8b30d3b21:superficies-reboisee:0
country_iso3	category	ISO3 country code.	SEN
country_name	category	Country name.	Senegal
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Superficies reboisée
valeurdelasituationderefere	float64	Source column.	22159.5
datesdr	int64	Source column.	2009
vi2009	float64	Source column.	22159.5
vi2010	float64	Source column.	19455.5
vi2011	float64	Source column.	29266.2
vi2012	int64	Source column.	18420
vi2013	int64	Source column.	22196
vi2014	float64	Source column.	19801.42
vi2015	int64	Source column.	17773
vi2016	int64	Source column.	14316
vi2017	int64	Source column.	12669
vi2018	int64	Source column.	14865
vi2019	int64	Source column.	2020
methodedecollecteenquetera	string	Source column.	Rapport
modedecalcultauxproportio	string	Source column.	Somme
frequencedeproductionirregul	string	Source column.	Annuelle
delaidediffusion	string	Source column.	annuelle
lindicateurestildiffusepre	string	Source column.	non
niveaudedesagregationagese	string	Source column.	région
statutdelindicateurdefiniti	string	Source column.	Définitif
uniteechellemilliermi	string	Source column.	ha
source	string	Source column.	DEFCCS
methodedacces	string	Source column.	ODP
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	category	Publishing organization.	DPVE
source_dataset	category	Source package title.	Superficies reboisées (ha)
source_resource	category	Source resource title.	META DATA
source_package_id	category	CKAN package UUID.	f37471da-e6e4-43bf-8c6b-953f562e120b
source_resource_id	category	CKAN resource UUID.	16280c9b-7c44-4d60-8052-98e8b30d3b21
source_url	category	Original source resource URL.	https://agridata.ansd.sn/dataset/f37471da-e6e4-43bf-8c6b-953f562e120b/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-07-27T11:04:43Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-senegal-superficies-reboisees-ha-c0ffa6b2")
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_superficies_reboisees_ha_c0ffa6b2_2026,
  title        = {Superficies reboisées (ha) | Africa (Senegal official open data)},
  author       = {DPVE},
  year         = {2026},
  url          = {https://agridata.ansd.sn/dataset/superficiesreboiseesha},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-superficies-reboisees-ha-c0ffa6b2}}
}

License

Released under CC BY 4.0.

Original data (c) DPVE. 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/f37471da-e6e4-43bf-8c6b-953f562e120b/resource/16280c9b-7c44-4d60-8052-98e8b30d3b21/download/dpve_ind2.xlsx