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aircraft_id
int64
434k
15.9M
year
int64
2.02k
2.02k
month
int64
1
10
day
int64
1
31
hour
int64
0
23
minute
int64
0
59
second
float64
0
60
altitude_ft
float64
-943
45k
ground_speed_kts
float64
0
599
heading_deg
float64
0
360
latitude
float64
39.5
41.7
longitude
float64
-81.95
-77.57
aircraft_tail
stringlengths
3
8
data_age_sec
float64
-0.26
60
range_nm
float64
0.01
230
bearing_deg
float64
-179.99
180
altitude_is_gnss
bool
2 classes
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0
54
28.65897
39,000
501
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C-GTRG
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119.462757
174.056661
false
10,996,491
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25
15
18
30.789
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462
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40.99711
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AAL1203
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46.070647
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25
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47
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229
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N40925
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25
14
55
57.893
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AAL1120
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25
12
35
20.915
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279
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N87527
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26
0
2
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N684SP
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25
21
52
51.516702
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154
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N92141
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25
22
3
46.103
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N63663
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18
23
10.141058
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N88TW
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25
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23
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DAL2447
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25
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35
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N465AW
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25
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34
41.235
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N319PQ
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25
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34
33.85
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N87527
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25
15
2
46.89
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116
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N291CC
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1
25
18
39
32.728
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FDY8009
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25
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277
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25
11
15
34.184
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77
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RPA3633
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25
21
20
15.437903
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147
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N1407X
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26
0
1
41.155
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N796AN
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1
25
19
34
48.412
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77
40.679035
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EDV5122
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103.206324
false
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1
25
20
24
46.707
34,944
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121
40.634808
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JIA5358
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26
1
50
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212
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RPA5829
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25
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36
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171
40.741425
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N474LF
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26
0
9
21.214
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FSR511
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26
0
2
31.42
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257
40.605827
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RPA4506
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25
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51
51.193
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171
40.528305
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N787QS
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25
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50
19.852
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276
40.712585
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N326AG
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26
0
2
3.818
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251
40.78047
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N684SP
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26
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15
35.573488
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63
40.83938
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N53226
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26
1
40
38.513
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70
40.763744
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EJM47
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26
0
39
40.235
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313
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N684SP
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25
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47
15.757503
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165
40.902023
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N53226
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25
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11
19.493
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278
40.945366
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UAL1716
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25
20
15
7.522
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55
40.77214
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N40925
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25
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39
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227
40.977924
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N20871
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25
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50
21.434
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276
40.71268
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N326AG
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25
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N40925
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25
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3
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CFXDP
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9
49.484
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N1737
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25
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53
18.082
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532
105
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AWI3842
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false
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25
15
6
58.871
38,037
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260
40.80148
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AAL1974
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25
12
36
6.321
30,467
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279
40.932133
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N465AW
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25
21
27
7.054
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40.766087
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DAL2432
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1
25
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33
54.379
38,025
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279
40.97149
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N107US
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25
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2
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236
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AAL1508
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25
15
34
0.581
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40.39438
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ROU1640
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26
2
10
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253
40.66915
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DAL1569
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26
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53.835
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295
40.79354
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N5356Y
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49.098
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N40925
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ROU1640
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N1407X
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N40925
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1.079964
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N20871
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N64LM
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26
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N53226
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N8765W
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N20871
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N684SP
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FDY305
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N43488
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N684SP
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N922DH
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N96573
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N1452U
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N20871
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FDY232
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CFXDP
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N8765W
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AWI3746
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N922DH
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AAL1941
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N412CK
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N1452U
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N53226
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N412CK
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N632AE
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DAL2885
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N1452U
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N474LF
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N632AE
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N115DU
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FFT1038
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N20871
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N1407X
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N1407X
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N733PY
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FDY305
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N53226
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N96573
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N1737
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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()}")

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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} }

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