electricsheepasia/asia-aviation-ourairports-uae

Airports in United Arab Emirates

Publisher: OurAirports · Source: HDX · License: Public Domain · Updated: 2026-05-01

Abstract

List of airports in United Arab Emirates, with latitude and longitude. Unverified community data from http://ourairports.com/countries/AE/

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-05-01. Geographic scope: ARE.

Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).

Dataset Characteristics

Variables

Geographic — type (heliport, smallairport, closed), `latitudedeg (range 22.7106–26.0496), longitudedeg` (range 51.5026–56.3627), `countryname (United Arab Emirates, #country +name), iso_country` (AE, #country +code +iso2) and 4 others.

Temporal — last_updated.

Outcome / Measurement — score (range 0.0–1013675.0).

Identifier / Metadata — id (range 2.0–605711.0), ident (#meta +code, OMDB, OMAA), name (Offshore Helipad, Waldorf Astoria Dubai Palm Jumeirah Helipad, Zayed Military Hospital Heliport), esa_source, esa_processed.

Other — elevation_ft (range 0.0–1463.0), continent (AS, #region +continent +code), scheduled_service (range 0.0–1.0).

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-aviation-ourairports-uae")
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`. 7 column(s) with >80% missing values were removed: `gpscode, icaocode`, `iatacode, localcode`, `homelink, wikipedia_link`.... 7 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). 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 OurAirports 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: elevation_ft.
• —Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

Citation

@dataset{hdx_asia_aviation_ourairports_uae,
  title     = {Airports in United Arab Emirates},
  author    = {OurAirports},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/ourairports-are},
  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.