electricsheepafrica/africa-drc-fao-eve-global-flood-monitoring-system-d23e2791

FAO EVE Global Flood Monitoring System | Africa (DRC official open data)

156,536 rows - 1 Africa country - 2024-2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from DRC 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: FAO EVE Global Flood Monitoring System
• —Publisher: Food and Agriculture Organization (FAO) of the United Nations
• —Resource: nga-flood-events-fao-eve.csv
• —Format: CSV
• —License: CC BY 4.0
• —Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Indicators or Resource Contents

• —fao-eve-global-flood-monitoring-system-period-number-cf77e91a - FAO EVE Global Flood Monitoring System - period number
• —fao-eve-global-flood-monitoring-system-cropland-flooded-sq-km-b3bfc748 - FAO EVE Global Flood Monitoring System - cropland flooded sq km
• —fao-eve-global-flood-monitoring-system-cropland-flooded-ha-f23d8c6e - FAO EVE Global Flood Monitoring System - cropland flooded ha
• —fao-eve-global-flood-monitoring-system-total-area-flooded-sq-km-a6bb8ba1 - FAO EVE Global Flood Monitoring System - total area flooded sq km
• —fao-eve-global-flood-monitoring-system-total-area-flooded-ha-e1dc7426 - FAO EVE Global Flood Monitoring System - total area flooded ha
• —fao-eve-global-flood-monitoring-system-perc-cropland-flooded-30cbfb1d - FAO EVE Global Flood Monitoring System - perc cropland flooded
• —fao-eve-global-flood-monitoring-system-perc-total-area-flooded-be7e2443 - FAO EVE Global Flood Monitoring System - perc total area flooded
• —fao-eve-global-flood-monitoring-system-pop-exposed-f4d1b8ca - FAO EVE Global Flood Monitoring System - pop exposed

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-drc-fao-eve-global-flood-monitoring-system-d23e2791")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "COD"]

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_drc_fao_eve_global_flood_monitoring_system_d23e2791_2026,
  title        = {FAO EVE Global Flood Monitoring System | Africa (DRC official open data)},
  author       = {Food and Agriculture Organization (FAO) of the United Nations},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/fao-eve-global-flood-monitoring-system},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-drc-fao-eve-global-flood-monitoring-system-d23e2791}}
}

License

Released under CC BY 4.0.

Original data (c) Food and Agriculture Organization (FAO) of the United Nations. 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

Provenance: ingested 2026-08-19 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/1fa3b0d1-4b0b-415b-a978-8b4dbf50d1ca/resource/b998cd70-b5be-49dc-8954-77be0ae7719d/download/nga-flood-events-fao-eve.csv