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electricsheepafrica/africa-somalia-somalia-regions-hit-by-1984-tropical-cyclone-1a-acd219f1

Somalia Regions Hit by 1984 Tropical Cyclone 1a | Africa (IGAD Climate Prediction and Applications Center (ICPAC)) 6 rows - 1 Africa country/area - 2017 - 6 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 6 rows from IGAD Climate Prediction and Applications Center (ICPAC), covering Somalia Regions Hit by 1984 Tropical Cyclone 1a. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-somalia-somalia-regions-hit-by-1984-tropical-cyclone-1a-acd219f1.

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Somalia Regions Hit by 1984 Tropical Cyclone 1a | Africa (IGAD Climate Prediction and Applications Center (ICPAC))

6 rows - 1 Africa country/area - 2017 - 6 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 6 rows from IGAD Climate Prediction and Applications Center (ICPAC), covering Somalia Regions Hit by 1984 Tropical Cyclone 1a. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: CSV file. This was the first documented tropical cyclone to move through the Gulf of Aden.In May 28,1984 TC1A storm struck about 65Km (40 miles) west of Berbera, Somalia and quickly dissipated. The storm had maximum wind speeds of 23m/s before dissipating. This layer shows the occurence of the tropical cyclone in Woqooyi Galbeed province, Somalia.

How To Read This Dataset

  • —One row means: one indicator observation for one geography, time period, and optional source dimensions.
  • —Primary geography column: country_iso3.
  • —Best time column: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3, year, indicator_id.

Coverage

DimensionValue
Rows6
Countries/areas1
First period2017
Last period2017
Indicators6
Columns28
Source formatCSV

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
SOM620172017Somalia

Indicators, Variables, Or Resource Contents

  • —somalia-regions-hit-by-1984-tropical-cyclone-1a-fid-2-9536b53a - Somalia Regions hit by 1984 Tropical Cyclone 1A - fid 2(sourceunitsunspecified)
  • —somalia-regions-hit-by-1984-tropical-cyclone-1a-objectid-55bf1430 - Somalia Regions hit by 1984 Tropical Cyclone 1A - objectid(sourceunitsunspecified)
  • —somalia-regions-hit-by-1984-tropical-cyclone-1a-shape-leng-6151a4b4 - Somalia Regions hit by 1984 Tropical Cyclone 1A - shape leng(sourceunitsunspecified)
  • —somalia-regions-hit-by-1984-tropical-cyclone-1a-shape-area-4444c18d - Somalia Regions hit by 1984 Tropical Cyclone 1A - shape area(sourceunitsunspecified)
  • —somalia-regions-hit-by-1984-tropical-cyclone-1a-objectid-1-75244b64 - Somalia Regions hit by 1984 Tropical Cyclone 1A - objectid 1(sourceunitsunspecified)
  • —somalia-regions-hit-by-1984-tropical-cyclone-1a-d-1984-1a-a-9fa2813a - Somalia Regions hit by 1984 Tropical Cyclone 1A - d 1984 1a a(sourceunitsunspecified)

Schema

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.somalia-regions-hit-by-1984-tropical-cyclone-1a-fid-2-9536b53a
indicator_namestringHuman-readable indicator name.Somalia Regions hit by 1984 Tropical Cyclone 1A - fid 2
country_iso3stringISO3 country or area code.SOM
country_namestringCountry or area name.Somalia
yearint64Observation year.2017
valuedoubleNumeric observation value.1.0
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_fidstringSource dimension retained during long-form normalization.a__1984_TC_4B.1
dimension_the_geomstringSource dimension retained during long-form normalization.MULTIPOLYGON (((45.862251282000045 10.819958687000053, 45.86577606200...
dimension_admin1namestringSource dimension retained during long-form normalization.Woqooyi Galbeed
dimension_admin1pcodstringSource dimension retained during long-form normalization.SO12
dimension_admin1refnstringSource dimension retained during long-form normalization.Woqooyi Galbeed
dimension_admin1altnstringSource dimension retained during long-form normalization.West Galbeed
dimension_admin0namestringSource dimension retained during long-form normalization.Somalia
dimension_admin0pcodstringSource dimension retained during long-form normalization.SO
dimension_datestringSource dimension retained during long-form normalization.2014-06-06T00:00:00
dimension_adm1_namestringSource dimension retained during long-form normalization.Woqooyi Galbeed
source_period_start_yearint64Start year inferred from source metadata.1928
source_period_end_yearint64End year inferred from source metadata.1984
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.1928-1984
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.IGAD Climate Prediction and Applications Center (ICPAC)
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Somalia Regions hit by 1984 Tropical Cyclone 1A
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Somalia Regions hit by 1984 Tropical Cyclone 1A CSV
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.03b9f03b-9be5-47c5-a93c-c23485b1b2dc
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.384d2adc-97b2-49c2-8c1b-525e5242de3b
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://geoportal.icpac.net/geoserver/ows?service=WFS&version=1.0.0&r...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.cc-by
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-10T14:51:11Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-somalia-somalia-regions-hit-by-1984-tropical-cyclone-1a-acd219f1")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "SOM"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • —Canonical time field: year.
  • —Missing values are preserved rather than silently imputed.
  • —Column names are standardized for machine use; source meanings are preserved where known.
  • —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • —Converted the source table to Parquet for efficient analytics and ML workflows.
  • —Added or preserved source provenance columns where available.
  • —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • —Preserved source-reported values without analytical imputation.

Suggested Analyses

  • —Profile the distribution of values
  • —Compare categories or geographies
  • —Join with complementary public datasets
  • —Build time-series views and period-over-period comparisons
  • —Pivot to geography x period or indicator x period matrices
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_somalia_somalia_regions_hit_by_1984_tropical_cyclone_1a_acd219f1_2017,
  title        = {Somalia Regions Hit by 1984 Tropical Cyclone 1a | Africa (IGAD Climate Prediction and Applications Center (ICPAC))},
  author       = {IGAD Climate Prediction and Applications Center (ICPAC)},
  year         = {2017},
  url          = {https://data.humdata.org/dataset/icpac-geonode-somalia-regions-hit-by-1984-tropical-cyclone-1a},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-somalia-somalia-regions-hit-by-1984-tropical-cyclone-1a-acd219f1}}
}

License

Released under CC BY 4.0.

Original data is published by IGAD Climate Prediction and Applications Center (ICPAC). Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/icpac-geonode-somalia-regions-hit-by-1984-tropical-cyclone-1a