electricsheepasia/asia-aid-flows-unosat-live-web-map-m-6-0-afghanistan-ea
UNOSAT Live web map -M 6.0 Afghanistan Earthquake (31 August 2025) Publisher: United Nations Satellite Centre (UNOSAT) · Source: HDX · License: cc-by-sa · Updated: 2026-03-24 Abstract UNOSAT code: EQ20250901AFG, GDACS ID: 1498339 This application provides geospatial information on ongoing satellite based-assessment related with the 6.0 M magnitude earthquake in Afghanistan on the 31 August 2025 Important note: The boundaries and names shown, and the… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-aid-flows-unosat-live-web-map-m-6-0-afghanistan-ea.
UNOSAT Live web map -M 6.0 Afghanistan Earthquake (31 August 2025)
Publisher: United Nations Satellite Centre (UNOSAT) · Source: HDX · License: cc-by-sa · Updated: 2026-03-24
Abstract
UNOSAT code: EQ20250901AFG, GDACS ID: 1498339 This application provides geospatial information on ongoing satellite based-assessment related with the 6.0 M magnitude earthquake in Afghanistan on the 31 August 2025
Important note: The boundaries and names shown, and the designations used on this map do not imply official end
Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-03-24. Geographic scope: AFG.
Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).
Dataset Characteristics
Variables
Geographic — province (Badakhshan, Baghlan, Ghazni), population_in_v_moderate_zone (range 124.85–1018709.3446), population_in_below_iv_light_zone (range 0.0–4192357.6848), population_in_below_iii_weak_zone (range 7020.1023–10960950.848).
Outcome / Measurement — total (range 19666.4974–17773523.9306).
Identifier / Metadata — esa_source (HDX), esa_processed (2026-05-06).
Quick Start
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/asia-aid-flows-unosat-live-web-map-m-6-0-afghanistan-ea")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()Schema
Numeric Summary
Curation
Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snakecase. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 3 column(s) with >80% missing values were removed: `populationinviiiseverezone`, `populationinviiverystrongzone, populationinvistrongzone`. 3 exact duplicate rows were removed. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.
Limitations
- Data originates from United Nations Satellite Centre (UNOSAT) and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- The following columns have >20% missing values and should be treated with caution in modelling:
population_in_v_moderate_zone,population_in_below_iv_light_zone. - Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.
Citation
@dataset{hdx_asia_aid_flows_unosat_live_web_map_m_6_0_afghanistan_ea,
title = {UNOSAT Live web map -M 6.0 Afghanistan Earthquake (31 August 2025)},
author = {United Nations Satellite Centre (UNOSAT)},
year = {2026},
url = {https://data.humdata.org/dataset/unosat-live-web-map-m-6-0-afghanistan-earthquake-31-august-2025},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.
