electricsheepafrica/africa-madagascar-tropical-cyclone-hazard-data-for-disaster-risk-assessment-ba8f546d

Tropical cyclone: Hazard Data for Disaster Risk Assessment (selected countries) | Africa (Madagascar official open data)

17,622 rows - 1 Africa country - 1980-2020 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Madagascar 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: Tropical cyclone: Hazard Data for Disaster Risk Assessment (selected countries)
• Publisher: ETH Zürich - Weather and Climate Risks
• Resource: admin1-timeseries-summaries-tropical-cyclone.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MDG	17,622	1980	2020	Madagascar

Indicators or Resource Contents

• tropical-cyclone-hazard-data-for-disaster-risk-assessment-selected-count-05684958 - Tropical cyclone: Hazard Data for Disaster Risk Assessment (selected countries) - latitude
• tropical-cyclone-hazard-data-for-disaster-risk-assessment-selected-count-130c3c4f - Tropical cyclone: Hazard Data for Disaster Risk Assessment (selected countries) - longitude
• tropical-cyclone-hazard-data-for-disaster-risk-assessment-selected-count-a56af0fe - Tropical cyclone: Hazard Data for Disaster Risk Assessment (selected countries) - value

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	tropical-cyclone-hazard-data-for-disaster-risk-assessment-selected-count
indicator_name	string	Human-readable indicator name.	Tropical cyclone: Hazard Data for Disaster Risk Assessment (selected cou
country_iso3	string	ISO3 country code.	MDG
country_name	string	Country name.	Madagascar
year	Int64	Observation year.	1990
value	float64	Numeric observation value.	22.9094
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_country_name	string	Source dimension.	Bangladesh
dimension_admin1_name	string	Source dimension.	Khulna
dimension_admin2_name	string	Source dimension.	``
dimension_aggregation	string	Source dimension.	max
dimension_indicator	string	Source dimension.	tropical-cyclone.date
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.	ETH Zürich - Weather and Climate Risks
source_dataset	category	Source package title.	Tropical cyclone: Hazard Data for Disaster Risk Assessment (selected cou
source_resource	category	Source resource title.	admin1-timeseries-summaries-tropical-cyclone.csv
source_package_id	category	CKAN package UUID.	f02bb601-9314-4162-9ebd-e1d18cdc2739
source_resource_id	category	CKAN resource UUID.	6416468e-bea9-4b50-8a8e-5bbdd4afa6dd
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/f02bb601-9314-4162-9ebd-e1d18cdc2739/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-30T05:38:32Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-madagascar-tropical-cyclone-hazard-data-for-disaster-risk-assessment-ba8f546d")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MDG"]

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_madagascar_tropical_cyclone_hazard_data_for_disaster_risk_assessment_ba8f_2020,
  title        = {Tropical cyclone: Hazard Data for Disaster Risk Assessment (selected countries) | Africa (Madagascar official open data)},
  author       = {ETH Zürich - Weather and Climate Risks},
  year         = {2020},
  url          = {https://data.humdata.org/dataset/climada-tropical-cyclone-dataset},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-madagascar-tropical-cyclone-hazard-data-for-disaster-risk-assessment-ba8f546d}}
}

License

Released under CC BY 4.0.

Original data (c) ETH Zürich - Weather and Climate Risks. 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 2026-08-30 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/f02bb601-9314-4162-9ebd-e1d18cdc2739/resource/6416468e-bea9-4b50-8a8e-5bbdd4afa6dd/download/admin1-timeseries-summaries-tropical-cyclone.csv