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min_diameter_m
float64
designation
large_string
orbit_condition_code
int64
max_diameter_m
float64
n_viable_trajectories
int64
observation_magnitude
float64
full_name
large_string
obs_flag
large_string
min_delta_v_kms
float64
min_mission_duration_days
int64
16
2010 PS66
6
73
9,060
23.69
(2010 PS66)
S
10.27
210
81
429389
0
362
10,245
23.92
429389 (2010 PR10)
8.399
130
8.3
2010 PH9
7
37
5
null
(2010 PH9)
11.417
354
21
2010 MB
1
94
2,609
22.39
(2010 MB)
10.097
330
11
2010 KV7
8
49
24,374
null
(2010 KV7)
8.524
282
23
2010 JK1
2
103
776,043
22.87
(2010 JK1)
4.839
106
27
2010 HA
0
121
603,708
23.7
(2010 HA)
6.319
114
59
2010 GP67
0
262
685
20.47
(2010 GP67)
10.261
178
7.1
2010 FY9
7
32
184,326
null
(2010 FY9)
6.35
66
14
2010 FV9
2
65
53,031
23.21
(2010 FV9)
8.005
226
6.6
2010 FM
7
30
1,315
20.65
(2010 FM)
S
10.157
154
13
2010 FT
7
56
51,821
22.24
(2010 FT)
S
7.911
210
21
2023 EQ
6
92
196
22.04
(2023 EQ)
S
11.093
338
7.6
2010 DE2
7
34
36
22.55
(2010 DE2)
S
11.336
362
11
2010 CP19
8
51
8
null
(2010 CP19)
11.372
346
7.6
2010 CJ18
7
34
2,005
null
(2010 CJ18)
9.312
330
63
2010 CE55
0
282
20,202
21.78
(2010 CE55)
9.064
154
37
2010 CD55
2
166
111,351
23.74
(2010 CD55)
8.301
242
8.5
2023 FP1
6
38
283,179
22.17
(2023 FP1)
S
6.406
42
5.5
2023 AS
6
25
27,601
null
(2023 AS)
7.399
114
22
2010 CB19
7
98
518
23.48
(2010 CB19)
S
11.065
378
157
453563
0
703
7
21.84
453563 (2010 BB)
11.73
354
12
2010 AR1
7
54
313
23.83
(2010 AR1)
11.205
226
6.3
2010 AL30
3
28
1,239
22.14
(2010 AL30)
10.904
378
6.9
2010 AN61
6
31
68,320
null
(2010 AN61)
7.837
298
78
2010 AF30
0
351
17
22.79
(2010 AF30)
11.815
402
5.5
2010 AG3
7
25
1,693
null
(2010 AG3)
10.672
266
15
2009 YS
7
68
18,067
23.98
(2009 YS)
S
8.711
178
4.4
2009 YR
6
20
1,077,818
21.91
(2009 YR)
S
4.643
50
20
2009 YF
7
89
477,268
23.73
(2009 YF)
5.63
74
10
2009 XZ6
7
45
12,299
23.66
(2009 XZ6)
S
8.802
178
118
490581
0
526
1,519
13.94
490581 (2009 WZ104)
9.766
130
16
2009 XP2
6
71
56
null
(2009 XP2)
11.693
370
2.9
2009 WW7
7
13
22,093
null
(2009 WW7)
9.357
266
11
2009 WV7
7
51
400
23.52
(2009 WV7)
S
11.168
258
3.8
2009 WR52
6
17
539,192
19.77
(2009 WR52)
S
5.298
146
44
2009 WM105
6
195
17,334
23.69
(2009 WM105)
9.12
138
3.8
2026 MC2
6
17
91,389
22.32
(2026 MC2)
7.037
34
1.9
2026 LB1
5
8.6
309,778
null
(2026 LB1)
6.053
34
8.3
2009 WG7
8
37
19,900
23.1
(2009 WG7)
S
9.233
154
14
2009 WG106
7
62
2,696
22.29
(2009 WG106)
S
9.736
114
12
2009 WF54
9
54
363
23.56
(2009 WF54)
S
11.27
234
3.5
2009 WD54
8
16
3,593
null
(2009 WD54)
10.715
194
61
2009 VT
0
272
3
22.67
(2009 VT)
11.937
354
11
2025 VE6
6
49
267
null
(2025 VE6)
10.687
114
14
2009 WC106
8
62
159,378
20.49
(2009 WC106)
S
5.824
186
7.8
2009 VM24
8
35
655
21.43
(2009 VM24)
S
10.483
346
23
2009 VS25
6
103
14,162
23.2
(2009 VS25)
S
10.276
346
3.3
2009 VA
9
15
323
null
(2009 VA)
10.394
338
11
2009 UZ87
6
51
152,545
22.75
(2009 UZ87)
8.317
146
36
2009 UY19
2
160
381,362
18.63
(2009 UY19)
5.079
98
16
2023 FS1
6
72
1,261
null
(2023 FS1)
10.612
234
15
2009 UX87
7
68
2,155
22.12
(2009 UX87)
S
10.385
178
87
523632
0
388
2,098
23.96
523632 (2009 UX17)
10.469
338
63
2009 UD2
0
282
1,255
22.38
(2009 UD2)
10.361
218
10
2009 UK20
6
43
286,623
23.84
(2009 UK20)
S
6.347
146
6.3
2009 UD
5
28
803,316
23.4
(2009 UD)
4.673
74
14
2009 UB
9
62
2,968
23.59
(2009 UB)
S
10.222
218
33
2009 TP
6
148
428,390
22.18
(2009 TP)
6.173
162
3.6
2009 TM8
6
16
11
null
(2009 TM8)
11.888
306
10
2009 TJ4
7
47
80,310
20.95
(2009 TJ4)
S
6.843
114
7.3
2009 TD8
7
32
45,536
23.83
(2009 TD8)
S
9.323
210
5
2009 TD17
7
22
223,112
23.54
(2009 TD17)
S
6.583
162
190
837134
0
849
12
23.59
837134 (2013 CQ35)
11.485
354
27
2022 WT11
3
120
7,322
22.51
(2022 WT11)
9.608
346
5.3
2022 WJ10
6
24
1,553
null
(2022 WJ10)
11.014
338
13
2007 RV12
7
59
2
19.94
(2007 RV12)
S
11.893
394
12
2009 SJ
8
54
351
23.53
(2009 SJ)
S
10.667
338
4.4
2009 SC170
8
20
2,185
23.33
(2009 SC170)
S
10.107
162
2.3
2009 SH1
9
10
26,665
null
(2009 SH1)
8.548
202
25
2009 RU1
0
112
403
21.45
(2009 RU1)
11.484
314
30
2009 RH
8
135
5,922
23.7
(2009 RH)
S
9.022
242
5.8
2009 QR
7
26
19,630
null
(2009 QR)
8.201
74
33
2009 QE34
6
148
15,533
22.99
(2009 QE34)
9.977
210
7
2022 YJ4
7
31
48,997
21.3
(2022 YJ4)
S
7.866
146
25
2009 PD
8
112
22,125
23.34
(2009 PD)
S
8.469
194
23
2009 OS5
0
103
410,475
22.28
(2009 OS5)
6.078
42
17
2009 KR4
8
78
327
22.95
(2009 KR4)
S
10.569
146
10
2008 YV32
7
43
111
20.55
(2008 YV32)
S
11.407
282
14
2016 DZ21
7
65
684
null
(2016 DZ21)
11.18
322
24
2009 HG
0
105
1,152
23.39
(2009 HG)
11.083
298
20
2009 HC
0
91
1,001,682
22.17
(2009 HC)
4.44
66
13
2025 QB5
6
57
719
null
(2025 QB5)
10.205
98
14
2009 FX4
7
65
19,477
19.35
(2009 FX4)
S
9.479
234
3.8
2009 FK
7
17
29
23.38
(2009 FK)
S
11.877
210
6
2009 ET
9
27
730
null
(2009 ET)
11.07
186
7.3
2009 FE19
7
32
28
null
(2009 FE19)
11.521
346
93
465617
0
416
157
20.86
465617 (2009 EK1)
10.244
330
4.9
2009 EH1
8
22
483
null
(2009 EH1)
10.365
362
153
457663
0
684
67
20.23
457663 (2009 DN1)
11.413
170
5.3
2009 DC45
8
23
21
null
(2009 DC45)
11.711
354
28
2009 DC1
6
123
1,871
23.99
(2009 DC1)
11.214
330
24
2009 CV
0
108
487,542
19.05
(2009 CV)
5.949
50
24
2009 CE
1
107
6,973
23.07
(2009 CE)
9.934
154
17
2009 BW2
2
74
1,105,655
23.25
(2009 BW2)
5.154
90
7.6
2009 BO5
7
34
484
null
(2009 BO5)
11.104
266
67
528807
0
300
24,468
22.72
528807 (2009 BL71)
8.914
306
6
2009 BF58
7
27
37
null
(2009 BF58)
11.648
282
14
2009 BG
7
62
7,281
23.76
(2009 BG)
S
9.581
314
14
2013 CN118
8
63
15,891
23.18
(2013 CN118)
S
9.805
330
End of preview. Expand in Data Studio

NASA NHATS Near-Earth Accessible Asteroids

Rosetta spacecraft approaching Comet 67P/Churyumov-Gerasimenko

Credit: NASA/ESA

Part of a dataset collection on Hugging Face.

Dataset description

Near-Earth asteroids accessible for human space flight missions, from NASA JPL's NHATS study. Includes delta-v requirements and trajectory counts.

The NHATS study identifies near-Earth asteroids that could be reached by crewed spacecraft with relatively low delta-v (velocity change) requirements. These are potential targets for human exploration missions, sample return, and in-situ resource utilisation (ISRU).

Each asteroid in this dataset has at least one viable round-trip trajectory with total delta-v under 12 km/s, total mission duration under 450 days, and stay time of at least 8 days. The dataset is continuously updated as new asteroids are discovered and orbits are refined.

The delta-v requirement is the single most important metric for mission feasibility in space exploration. Unlike terrestrial travel where distance dominates cost, spaceflight cost scales with the velocity change needed to match orbits with a target. A round-trip delta-v under 6 km/s -- comparable to what is needed to reach the lunar surface and return -- makes an asteroid reachable with existing or near-term propulsion technology. The most accessible targets in this dataset have delta-v requirements below 5 km/s, making them energetically easier to reach than the Moon despite being millions of kilometers away.

Mission duration and the number of viable trajectories provide complementary selection criteria. A target with thousands of viable trajectories offers scheduling flexibility -- crucial for mission planning that must account for launch window constraints, spacecraft readiness, and orbital mechanics.

These asteroids are also prime candidates for in-situ resource utilization (ISRU) -- extracting water, metals, and volatiles from asteroid material to support deep-space operations. The combination of low delta-v accessibility and potential resource richness makes NHATS targets central to long-term plans for a sustained human presence beyond low Earth orbit.

This dataset is suitable for tabular regression tasks.

Schema

Column Type Description Sample Null %
min_diameter_m float64 Estimated lower bound on effective diameter in meters, derived from absolute magnitude H and assumed maximum albedo; null when H magnitude is unavailable 16.0 0.0%
designation str Primary MPC asteroid designation (e.g., '2021 PH27', '1999 AO10') 2010 PS66 0.0%
orbit_condition_code int64 MPC orbit uncertainty metric (0-9); 0 = well-determined multi-opposition orbit, 9 = very poorly constrained single-opposition arc; affects reliability of accessibility predictions 6 0.0%
max_diameter_m float64 Estimated upper bound on effective diameter in meters, derived from absolute magnitude H and assumed minimum albedo; null when H magnitude is unavailable 73.0 0.0%
n_viable_trajectories int64 Total number of viable round-trip trajectory opportunities found by NHATS, counting all launch dates and mission profiles; higher = more scheduling flexibility 9060 0.0%
observation_magnitude float64 Observed visual magnitude at the time of discovery or most recent apparition; null when not available; fainter (larger) values indicate smaller or more distant objects 23.69 40.7%
full_name str Full formatted name/designation including any IAU proper name (2010 PS66) 0.0%
obs_flag str Observation flag from NHATS indicating whether the object is currently observable or has upcoming observing opportunities S 0.2%
min_delta_v_kms float64 Minimum total delta-v (Earth departure + outbound transfer + return) for any viable round-trip trajectory in km/s; <6 km/s = energetically comparable to reaching the lunar surface; NHATS search limit is 12 km/s 10.27 0.0%
min_mission_duration_days int64 Minimum total round-trip mission duration in days across all viable trajectories; NHATS search limit is 450 days; shorter durations preferred for crewed missions due to life support and radiation constraints 210 0.0%

Quick stats

  • 6,989 accessible asteroids
  • Mean minimum delta-v: 9.04 km/s
  • Lowest delta-v target: 3.39 km/s
  • 705 targets with delta-v < 6 km/s

Usage

from datasets import load_dataset

ds = load_dataset("juliensimon/nhats-accessible-asteroids", split="train")
df = ds.to_pandas()
from datasets import load_dataset

ds = load_dataset("juliensimon/nhats-accessible-asteroids", split="train")
df = ds.to_pandas()

# Easiest targets to reach
easy = df.nsmallest(20, "min_delta_v_kms")
print(easy[["designation", "min_delta_v_kms", "min_mission_duration_days", "n_viable_trajectories"]])

# Targets with many trajectory options
flexible = df.nlargest(20, "n_viable_trajectories")
print(flexible[["designation", "n_viable_trajectories", "min_delta_v_kms"]])

# Delta-v distribution
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(10, 5))
ax.hist(df["min_delta_v_kms"].dropna(), bins=50)
ax.set_xlabel("Min delta-v (km/s)")
ax.set_ylabel("Count")
ax.set_title("NHATS Asteroid Delta-v Distribution")
plt.show()

Data source

https://cneos.jpl.nasa.gov/nhats/

If you find this dataset useful, please consider giving it a like on Hugging Face. It helps others discover it.

About the author

Created by Julien Simon — AI Operating Partner at Fortino Capital. Part of the Space Datasets collection.

Citation

@dataset{nhats_accessible_asteroids,
  title = {NASA NHATS Near-Earth Accessible Asteroids},
  author = {juliensimon},
  year = {2026},
  url = {https://huggingface.co/datasets/juliensimon/nhats-accessible-asteroids},
  publisher = {Hugging Face}
}

License

CC-BY-4.0

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