source_record_id string | country_iso3 string | country_name string | source_sheet string | year int64 | valeurdelasituationderefere float64 | datesdr int64 | vi2015 float64 | vi2016 float64 | vi2017 float64 | vi2018 float64 | vi2019 int64 | methodedecollecteenquetera string | modedecalcultauxproportio string | frequencedeproductionirregul string | delaidediffusion string | lindicateurestildiffusepre string | niveaudedesagregationagese string | statutdelindicateurdefiniti string | uniteechellemilliermi string | source string | methodedacces 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a7d8bbc6-d443-4711-9d26-27cf5dd35ee5:odd-1511-superfi:0 | SEN | Senegal | ODD 1511_Superfi | 2,015 | 42.94 | 2,015 | 42.94 | 42.74 | 42.53 | 42.32 | 2,020 | cartographie/rapport/Données/missions | taux | quinquennale | quinquennale | non | région | Définitif | % | comité FRA | Rapport de performance du METE | 2,015 | 2,015 | 2015 | DPVE | ODD 15.1.1 : Superficie forestière comme pourcentage du total des terres émergées 2015 | META DONNEES | e0838060-4785-43c7-972d-539135633388 | a7d8bbc6-d443-4711-9d26-27cf5dd35ee5 | https://agridata.ansd.sn/dataset/e0838060-4785-43c7-972d-539135633388/resource/a7d8bbc6-d443-4711-9d26-27cf5dd35ee5/download/dpve_ind7.xlsx | cc-by | 2026-07-27T11:04:43Z |
ODD 15.1.1 : Superficie forestière comme pourcentage du total des terres émergées 2015 | Africa (Senegal official open data)
1 rows - 1 Africa country - 2015 - 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: ODD 15.1.1 : Superficie forestière comme pourcentage du total des terres émergées 2015
- Publisher: DPVE
- Resource: META DONNEES
- 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 | 2015 | 2015 | 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. | a7d8bbc6-d443-4711-9d26-27cf5dd35ee5:odd-1511-superfi: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. | ODD 1511_Superfi |
year |
Int64 |
Observation year. | 2015 |
valeurdelasituationderefere |
float64 |
Source column. | 42.94 |
datesdr |
int64 |
Source column. | 2015 |
vi2015 |
float64 |
Source column. | 42.94 |
vi2016 |
float64 |
Source column. | 42.74 |
vi2017 |
float64 |
Source column. | 42.53 |
vi2018 |
float64 |
Source column. | 42.32 |
vi2019 |
int64 |
Source column. | 2020 |
methodedecollecteenquetera |
string |
Source column. | cartographie/rapport/Données/missions |
modedecalcultauxproportio |
string |
Source column. | taux |
frequencedeproductionirregul |
string |
Source column. | quinquennale |
delaidediffusion |
string |
Source column. | quinquennale |
lindicateurestildiffusepre |
string |
Source column. | non |
niveaudedesagregationagese |
string |
Source column. | région |
statutdelindicateurdefiniti |
string |
Source column. | Définitif |
uniteechellemilliermi |
string |
Source column. | % |
source |
string |
Source column. | comité FRA |
methodedacces |
string |
Source column. | Rapport de performance du METE |
source_period_start_year |
Int64 |
First year inferred from source resource metadata. | 2015 |
source_period_end_year |
Int64 |
Last year inferred from source resource metadata. | 2015 |
source_period_label |
category |
Human-readable period inferred from source resource metadata. | 2015 |
source_provider |
category |
Publishing organization. | DPVE |
source_dataset |
category |
Source package title. | ODD 15.1.1 : Superficie forestière comme pourcentage du total des terres |
source_resource |
category |
Source resource title. | META DONNEES |
source_package_id |
category |
CKAN package UUID. | e0838060-4785-43c7-972d-539135633388 |
source_resource_id |
category |
CKAN resource UUID. | a7d8bbc6-d443-4711-9d26-27cf5dd35ee5 |
source_url |
category |
Original source resource URL. | https://agridata.ansd.sn/dataset/e0838060-4785-43c7-972d-539135633388/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-odd-15-1-1-superficie-forestiere-comme-pourcentage-du-tota-b93cd77c")
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_odd_15_1_1_superficie_forestiere_comme_pourcentage_du_tota_b93cd7_2015,
title = {ODD 15.1.1 : Superficie forestière comme pourcentage du total des terres émergées 2015 | Africa (Senegal official open data)},
author = {DPVE},
year = {2015},
url = {https://agridata.ansd.sn/dataset/superficieforestierecommepourcentagetotaldesterresemergees},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-odd-15-1-1-superficie-forestiere-comme-pourcentage-du-tota-b93cd77c}}
}
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
Provenance: ingested 2026-07-27 via the Electric Sheep pipeline. Source URL: https://agridata.ansd.sn/dataset/e0838060-4785-43c7-972d-539135633388/resource/a7d8bbc6-d443-4711-9d26-27cf5dd35ee5/download/dpve_ind7.xlsx
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