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Gogul001/tartanaviation-adsb-19k-clean

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Hugging Face2026-04-01 更新2026-04-12 收录
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--- license: mit task_categories: - tabular-regression - time-series-forecasting tags: - aviation - adsb - aircraft-tracking - trajectories - reinforcement-learning - tabular-data - time-series size_categories: - 10K<n<100K --- # TartanAviation ADS-B Dataset (19.7K Clean Samples) ## Dataset Description **19,714 high-quality ADS-B trajectory datapoints** from aircraft operations, rigorously cleaned and validated. Perfect for machine learning research in aviation, reinforcement learning, and trajectory prediction. ## Key Features - 19,714 clean samples (no missing data, no duplicates) - 17 comprehensive features including aircraft ID, timestamp components, altitude, speed, heading, geolocation, and metadata - Data period: January to October 2022 - Geographic coverage: Ohio airspace (KBTP airport region) - Formats available: CSV (human-readable) and JSONL (ML-optimized) ## Dataset Structure (17 columns) - Temporal: year, month, day, hour, minute, second - Aircraft State: aircraft_id, altitude_ft, ground_speed_kts, heading_deg - Location: latitude, longitude - Metadata: aircraft_tail, data_age_sec, range_nm, bearing_deg, altitude_is_gnss ## Use Cases - Reinforcement learning for air traffic management - Aircraft trajectory prediction - Graph neural networks modeling - Aviation safety analysis - Time series forecasting for flight dynamics ## Quick Start import pandas as pd Load CSV dataset df = pd.read_csv('tartanaviation_adsb_19k_clean.csv') print(f"Dataset shape: {df.shape}") print(f"Unique aircraft: {df['aircraft_id'].nunique()}") text ## Dataset Stats - Samples: 19,714 - Features: 17 - Unique Aircraft: 4,946 - Time Period: January - October 2022 - Region: Ohio airspace (KBTP airport area) - Data Quality: 100% complete, validated ## Citation @dataset{tartanaviation_adsb_2024, title={TartanAviation ADS-B Dataset (19.7K Clean Samples)}, author={Pathange}, year={2024}, publisher={Hugging Face}, url={https://huggingface.co/datasets/Pathange/tartanaviation-adsb-19k-clean} } text undefined
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