electricsheepafrica/africa-chad-gdacs-rss-information-26c68d4b

Gdacs Rss Information | Africa (Global Disaster Alert and Coordination System)

1,074 rows - 1 Africa country/area - 2026 - 3 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 1,074 rows from Global Disaster Alert and Coordination System, covering Gdacs Rss Information. 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: GDACS alerts are issued for earthquakes and possible subsequent tsunamis, tropical cyclones, floods and volcanoes. Earthquake, tsunami and tropical cyclones calculations and assessments are done automatically, without human intervention. Floods and volcanic eruptions are currently manually introduced. Research and development is continuous to improve the global monitoring.

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

Dimension	Value
Rows	1,074
Countries/areas	1
First period	2026
Last period	2026
Indicators	3
Columns	30
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TCD	1,074	2026	2026	Chad

Indicators, Variables, Or Resource Contents

• gdacs-rss-information-severity-value-1ad1460f - GDACS RSS Information - severity value(source_units_unspecified)
• gdacs-rss-information-geo-lat-cb0e3100 - GDACS RSS Information - geo lat(source_units_unspecified)
• gdacs-rss-information-geo-long-b19a19b7 - GDACS RSS Information - geo long(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	gdacs-rss-information-severity-value-1ad1460f
indicator_name	string	Human-readable indicator name.	GDACS RSS Information - severity value
country_iso3	string	ISO3 country or area code.	TCD
country_name	string	Country or area name.	Chad
date	string	Observation date.	2026-08-10
year	int64	Observation year.	2026
value	double	Numeric observation value.	7.4
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_id	string	Source dimension retained during long-form normalization.	EQ1557236
dimension_iso3	string	Source dimension retained during long-form normalization.	COL
dimension_country	string	Source dimension retained during long-form normalization.	Colombia
dimension_title	string	Source dimension retained during long-form normalization.	Orange earthquake (Magnitude 7.4M, Depth:110.285km) in Colombia 10/08...
dimension_summary	string	Source dimension retained during long-form normalization.	On 8/10/2026 12:34:28 PM, an earthquake occurred in Colombia potentia...
dimension_event_type	string	Source dimension retained during long-form normalization.	Earthquake
dimension_severity_unit	string	Source dimension retained during long-form normalization.	M
dimension_source	string	Source dimension retained during long-form normalization.	Joint Research Center of the European Commission
dimension_from_date	string	Source dimension retained during long-form normalization.	Mon, 10 Aug 2026 12:34:28 GMT
dimension_link	string	Source dimension retained during long-form normalization.	https://www.gdacs.org/report.aspx?eventtype=EQ&eventid=1557236
dimension_gdacs_bbox	string	Source dimension retained during long-form normalization.	-80.2422 -72.2422 0.8436 8.8436
source_period_start_year	int64	Start year inferred from source metadata.	``
source_period_end_year	int64	End year inferred from source metadata.	``
source_period_label	string	Source column from the original resource.	``
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Global Disaster Alert and Coordination System
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	GDACS RSS Information
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	gdacs_rss_information.csv
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	a87f96f8-16e6-4d51-872c-cfa54a8251ec
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	4ef001d1-7888-4f5d-98ce-0ca8006787f7
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/a87f96f8-16e6-4d51-872c-cfa54a8251ec...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-10T22:51:43Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-chad-gdacs-rss-information-26c68d4b")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

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

Filter By Geography

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

Time-Series Pattern

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

Pivot For Analysis

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

• Source: Global Disaster Alert and Coordination System
• Publisher: Global Disaster Alert and Coordination System
• Portal: https://data.humdata.org
• Resource: gdacs_rss_information.csv
• License: CC BY 4.0
• Retrieved/generated: 2026-08-10T22:51:48Z
• Hugging Face repo: electricsheepafrica/africa-chad-gdacs-rss-information-26c68d4b

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

@misc{electric_sheep_africa_africa_chad_gdacs_rss_information_26c68d4b_2026,
  title        = {Gdacs Rss Information | Africa (Global Disaster Alert and Coordination System)},
  author       = {Global Disaster Alert and Coordination System},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/gdacs-rss-information},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-gdacs-rss-information-26c68d4b}}
}

License

Released under CC BY 4.0.

Original data is published by Global Disaster Alert and Coordination System. 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.

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/gdacs-rss-information