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

GDACS RSS Information | Africa (Congo official open data)

1,185 rows - 1 Africa country - 2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Congo 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: GDACS RSS Information
• Publisher: Global Disaster Alert and Coordination System
• Resource: gdacs_rss_information.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
COG	1,185	2026	2026	Congo

Indicators or Resource Contents

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

Schema

Column	Type	Description	Example
indicator_id	string	Stable 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 code.	COG
country_name	string	Country name.	Congo
date	string	Observation date.	2026-08-14
year	Int64	Observation year.	2026
value	float64	Numeric observation value.	8653.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_id	string	Source dimension.	WF1030489
dimension_iso3	string	Source dimension.	KAZ
dimension_country	string	Source dimension.	Kazakhstan
dimension_title	string	Source dimension.	Green forest fire notification in Kazakhstan
dimension_summary	string	Source dimension.	On 14/08/2026, a forest fire started in Kazakhstan, until 14/08/2026.
dimension_event_type	string	Source dimension.	Wildfire
dimension_severity_unit	string	Source dimension.	ha
dimension_source	string	Source dimension.	Joint Research Center of the European Commission
dimension_from_date	string	Source dimension.	Fri, 14 Aug 2026 00:00:00 GMT
dimension_link	string	Source dimension.	https://www.gdacs.org/report.aspx?eventtype=WF&eventid=1030489
dimension_gdacs_bbox	string	Source dimension.	70.3528657500059 78.3528657500059 45.1106472081168 53.1106472081168
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.	Global Disaster Alert and Coordination System
source_dataset	category	Source package title.	GDACS RSS Information
source_resource	category	Source resource title.	gdacs_rss_information.csv
source_package_id	category	CKAN package UUID.	a87f96f8-16e6-4d51-872c-cfa54a8251ec
source_resource_id	category	CKAN resource UUID.	4ef001d1-7888-4f5d-98ce-0ca8006787f7
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/a87f96f8-16e6-4d51-872c-cfa54a8251ec/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-16T12:36:20Z

Usage

from datasets import load_dataset

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

Filter to one country

sample_country = df[df["country_iso3"] == "COG"]

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_congo_gdacs_rss_information_26c68d4b_2026,
  title        = {GDACS RSS Information | Africa (Congo official open data)},
  author       = {Global Disaster Alert and Coordination System},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/gdacs-rss-information},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-congo-gdacs-rss-information-26c68d4b}}
}

License

Released under CC BY 4.0.

Original data (c) Global Disaster Alert and Coordination System. 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 2026-08-16 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/a87f96f8-16e6-4d51-872c-cfa54a8251ec/resource/4ef001d1-7888-4f5d-98ce-0ca8006787f7/download/gdacs_rss_information.csv