electricsheepafrica/africa-cyclone-enawo-madagascar-windspeed-track-and-rainfall

Cyclone Enawo - Madagascar - windspeed, track and rainfall

Publisher: Netherlands Red Cross - 510 · Source: HDX · License: cc-by · Updated: 2023-10-18

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Abstract

Please note that the windspeed and track dataset only covers the part where the this was still a tropical cyclone. For explanation see below caveats. Due to this we will not release a priority index, since windspeed data is missing for most of the country.

Dataset of windspeed and track was kindly provided by University College London.

The rainfall data is calculated based on GPM. It is the accumulated rainfall from March 6th midnight to March 10th 10:00am Madagascar time.

Each row in this dataset represents tabular records. Data was last updated on HDX on 2023-10-18. Geographic scope: MDG.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Climate and environment
Unit of observation	Tabular records
Rows (total)	1,578
Columns	5 (2 numeric, 3 categorical, 0 datetime)
Train split	1,262 rows
Test split	315 rows
Geographic scope	MDG
Publisher	Netherlands Red Cross - 510
HDX last updated	2023-10-18

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Variables

Outcome / Measurement — rainfallme (range 4.9455–522.65).

Identifier / Metadata — unnamed_0 (range 0.0–1577.0), p_code (MDG11101001, MDG42411190, MDG42411150), esa_source (HDX), esa_processed (2026-04-06).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-cyclone-enawo-madagascar-windspeed-track-and-rainfall")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
unnamed_0	int64	0.0%	0.0 – 1577.0 (mean 788.5)
p_code	object	0.0%	MDG11101001, MDG42411190, MDG42411150
rainfallme	float64	0.0%	4.9455 – 522.65 (mean 191.0401)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-06

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Numeric Summary

Column	Min	Max	Mean	Median
unnamed_0	0.0	1577.0	788.5	788.5
rainfallme	4.9455	522.65	191.0401	180.6107

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Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from Netherlands Red Cross - 510 and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_cyclone_enawo_madagascar_windspeed_track_and_rainfall,
  title     = {Cyclone Enawo - Madagascar - windspeed, track and rainfall},
  author    = {Netherlands Red Cross - 510},
  year      = {2023},
  url       = {https://data.humdata.org/dataset/cyclone-enawo-madagascar-windspeed-track-and-rainfall},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.