| ---
|
| language:
|
| - en
|
| license: mit
|
| tags:
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| - aviation
|
| - apu
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| - turnaround
|
| - airport-operations
|
| - decarbonization
|
| - green-aviation
|
| size_categories:
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| - 1M<n<10M
|
| task_categories:
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| - tabular-regression
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| - tabular-classification
|
| pretty_name: APU-Guard Aviation Turnaround & Emissions Benchmark Dataset
|
| ---
|
|
|
| # APU-Guard Dataset Benchmark
|
|
|
| This dataset repository hosts the multi-source raw and processed benchmark datasets used by **APU-Guard** (Autonomous APU Optimization & Ground Utility Oversight System).
|
|
|
| ## Repository Overview
|
|
|
| - **Repository**: `dimoontri/apu-guard-data`
|
| - **Total Size**: ~6.8 GB
|
| - **Project**: APU-Guard (Decarbonizing Aircraft Auxiliary Power Unit operations during turnaround)
|
|
|
| ## Dataset Structure
|
|
|
| ```
|
| ├── raw/
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| │ ├── turnaround_20_stands/ # Mendeley 20-Stand Ground Truth (7,122 turnarounds)
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| │ ├── turnaround_20_stands.csv
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| │ ├── De-identified 20-Stand Aircraft Turnaround Dataset.zip
|
| │ ├── flight_fuel_consumption/ # NASA DASHlink Continuous Flight Trajectory (DataSet1_Q, ~1.67 GB)
|
| │ ├── fq2/ # FlightQuest 2 Aggregate Operational / METAR (~3.99 GB)
|
| │ │ ├── FQ2DataRelease2_AggregateTrain.7z
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| │ │ ├── FlightStatsDataDictionary-Rev2.xlsx
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| │ │ ├── training3_flighthistory_rev1.zip
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| │ │ └── training3_metar_reports_rev1.zip
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| │ ├── jetsetgo/ # JetSetGo Turnaround Sensor Telemetry (~605 MB)
|
| │ ├── cax/ # CAX Complex Turnaround Logs (~459 MB)
|
| │ ├── weather/ # LEVX Metar / Surface Weather (~46 MB)
|
| │ ├── gse/ # NREL eGSE & Airport Ground Equipment (~37 MB)
|
| │ ├── openalaqs/ # OpenALAQS Reference Emission Profiles
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| │ ├── airports.parquet # Global Airport Stand / Gate Lookups
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| │ ├── flightlist_train.parquet # OpenSky Network ADS-B Turnaround Logs
|
| │ └── fuel_train.parquet # Fuel burn reference baselines
|
| └── processed/
|
| └── apu_guard_training.parquet # Stage 1 Normalized Master Dataset (7,122 turnarounds, 33 columns)
|
| ```
|
|
|
| ## Data Provenance & Contract (v2.1.0)
|
|
|
| | Source | Role | Primary Features | Provenance |
|
| | --- | --- | --- | --- |
|
| | **Mendeley 20-Stand** | Primary Turnaround Truth | `apu_minutes`, `on_block`, `off_block`, `stand`, `charger_kwh_linked` | Mendeley Data (CC BY 4.0) |
|
| | **NASA DASHlink** | Reference Fuel Burn | `DataSet1_Q` continuous telemetry, APU fuel ~108 kg/h | NASA DASHlink Public Domain |
|
| | **FlightQuest 2** | Operational Context | METAR weather, aggregate turnaround schedules | GE / Kaggle FlightQuest |
|
| | **JetSetGo** | Turnaround Context | Complex multi-sensor turnaround logs | Open Aviation Data |
|
| | **LEVX Weather** | Surface Weather | Temperature (°C), Dew Point, Wind Speed, QNH | LEVX Airport Surface Stations |
|
| | **NREL eGSE** | Ground Fleet Context | Hourly ground power demand distributions | NREL Open Energy Data |
|
| | **OpenALAQS / ICAO** | Reference Profiles | APU baseline fuel flow & NOx emission indices | ICAO Engine Databank |
|
|
|
| ## Usage with Python & Hugging Face
|
|
|
| ### Download entire dataset:
|
| ```python
|
| from huggingface_hub import snapshot_download
|
|
|
| local_dir = snapshot_download(
|
| repo_id="dimoontri/apu-guard-data",
|
| repo_type="dataset",
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| local_dir="data"
|
| )
|
| print(f"Downloaded to {local_dir}")
|
| ```
|
|
|
| ### Direct Parquet Loading with DuckDB / Pandas:
|
| ```python
|
| import pandas as pd
|
|
|
| # Load Stage 1 Master Parquet directly from Hugging Face
|
| url = "https://huggingface.co/datasets/dimoontri/apu-guard-data/resolve/main/processed/apu_guard_training.parquet"
|
| df = pd.read_parquet(url)
|
| print(f"Loaded {len(df):,} turnarounds. Columns: {list(df.columns)}")
|
| ``` |
