electricsheepafrica/africa-mali-explosive-weapons-monitor-data-by-insecurity-insight-87665212

Explosive Weapons Monitor Data by Insecurity Insight | Africa (Mali official open data)

987 rows - 1 Africa country - 2018-2025 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Mali 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: Explosive Weapons Monitor Data by Insecurity Insight
• Publisher: Insecurity Insight
• Resource: 2018-2024 EWIPA and Markets Data.xlsx
• Format: XLSX
• License: CC BY-SA
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	987	2018	2025	Mali

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	4f0587a6-aa07-42c9-9481-f2c8f044cf3b:2018-2024-ewipa-and-markets-dat:0
country_iso3	category	ISO3 country code.	MLI
country_name	category	Country name.	Mali
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	2018-2024 EWIPA and Markets Dat
date	string	Observation date.	2024-12-29 00:00:00
country	string	Source column.	Sudan
country_iso	string	Source column.	SDN
latitude	float64	Source column.	15.6472
longitude	float64	Source column.	32.4189
geo_precision	string	Source column.	(2) 25 km Precision
launch_type	string	Source column.	Air-Launched: Drone
explosive_weapon_type	string	Source column.	Aerial Bomb
reported_perpetrator	string	Source column.	Host Government: Military
reported_perpetrator_name	string	Source column.	Sudanese Armed Forces
event_id	float64	Source column.	92496.0
source_period_start_year	Int64	First year inferred from source resource metadata.	2018
source_period_end_year	Int64	Last year inferred from source resource metadata.	2025
source_period_label	category	Human-readable period inferred from source resource metadata.	2018-2025
source_provider	category	Publishing organization.	Insecurity Insight
source_dataset	category	Source package title.	Explosive Weapons Monitor Data by Insecurity Insight
source_resource	category	Source resource title.	2018-2024 EWIPA and Markets Data.xlsx
source_package_id	category	CKAN package UUID.	729040e4-e253-44ca-b265-123d452738d6
source_resource_id	category	CKAN resource UUID.	4f0587a6-aa07-42c9-9481-f2c8f044cf3b
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/729040e4-e253-44ca-b265-123d452738d6/re
license_id	category	Source license identifier.	cc-by-sa
retrieved_at	category	UTC retrieval timestamp.	2026-08-12T23:12:09Z
citation	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-explosive-weapons-monitor-data-by-insecurity-insight-87665212")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MLI"]

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_mali_explosive_weapons_monitor_data_by_insecurity_insight_87665212_2025,
  title        = {Explosive Weapons Monitor Data by Insecurity Insight | Africa (Mali official open data)},
  author       = {Insecurity Insight},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/explosive-weapons-use-affecting-aid-access-education-and-healthcare-services},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-explosive-weapons-monitor-data-by-insecurity-insight-87665212}}
}

License

Released under CC BY-SA.

Original data (c) Insecurity Insight. 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 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/729040e4-e253-44ca-b265-123d452738d6/resource/4f0587a6-aa07-42c9-9481-f2c8f044cf3b/download/2018-2024-ewipa-and-markets-data.xlsx