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designation
large_stringlengths
4
10
orbit_condition_code
int64
0
9
obs_flag
large_stringclasses
2 values
n_viable_trajectories
int64
1
35.8M
min_diameter_m
float64
0.23
1.27k
full_name
large_stringlengths
16
29
max_diameter_m
float64
1
5.69k
observation_magnitude
float64
13.5
24
min_delta_v_kms
float64
3.32
12
min_mission_duration_days
int64
10
450
2010 PS66
6
S
9,060
16
(2010 PS66)
73
23.69
10.27
210
429389
0
10,245
81
429389 (2010 PR10)
362
23.92
8.399
130
2010 PH9
7
5
8.3
(2010 PH9)
37
null
11.417
354
2010 MB
1
2,609
21
(2010 MB)
94
22.39
10.097
330
2010 KV7
8
24,374
11
(2010 KV7)
49
null
8.524
282
2010 JK1
2
776,043
23
(2010 JK1)
103
22.87
4.839
106
2010 HA
0
603,708
29
(2010 HA)
129
21.61
6.319
114
2010 GP67
0
685
59
(2010 GP67)
262
20.47
10.261
178
2010 FY9
7
184,326
7.1
(2010 FY9)
32
null
6.35
66
2010 FV9
2
53,031
14
(2010 FV9)
65
23.21
8.005
226
2010 FM
7
S
1,315
6.6
(2010 FM)
30
20.65
10.157
154
2010 FT
7
S
51,821
13
(2010 FT)
56
22.24
7.911
210
2023 EQ
6
S
196
21
(2023 EQ)
92
22.04
11.093
338
2010 DE2
7
S
36
7.6
(2010 DE2)
34
22.55
11.336
362
2010 CP19
8
8
11
(2010 CP19)
51
null
11.372
346
2010 CJ18
7
2,005
7.6
(2010 CJ18)
34
null
9.312
330
2010 CE55
0
20,202
63
(2010 CE55)
282
21.78
9.064
154
2010 CD55
2
111,351
37
(2010 CD55)
166
23.74
8.301
242
2023 FP1
6
S
283,179
8.5
(2023 FP1)
38
22.17
6.406
42
2023 AS
6
27,601
5.5
(2023 AS)
25
null
7.399
114
2010 CB19
7
S
518
22
(2010 CB19)
98
23.48
11.065
378
453563
0
7
157
453563 (2010 BB)
703
21.84
11.73
354
2010 AR1
7
313
12
(2010 AR1)
54
23.83
11.205
226
2010 AL30
3
1,239
6.3
(2010 AL30)
28
22.14
10.904
378
2010 AN61
6
68,320
6.9
(2010 AN61)
31
null
7.837
298
2010 AF30
0
17
78
(2010 AF30)
351
22.79
11.815
402
2010 AG3
7
1,693
5.5
(2010 AG3)
25
null
10.672
266
2009 YS
7
S
18,067
15
(2009 YS)
68
23.98
8.711
178
2009 YR
6
S
1,077,818
4.4
(2009 YR)
20
21.91
4.643
50
2009 YF
7
477,268
20
(2009 YF)
89
23.73
5.63
74
2009 XZ6
7
S
12,299
10
(2009 XZ6)
45
23.66
8.802
178
490581
0
1,519
118
490581 (2009 WZ104)
526
13.94
9.766
130
2009 XP2
6
56
16
(2009 XP2)
71
null
11.693
370
2009 WW7
7
22,093
2.9
(2009 WW7)
13
null
9.357
266
2009 WV7
7
S
400
11
(2009 WV7)
51
23.52
11.168
258
2009 WR52
6
S
539,192
3.8
(2009 WR52)
17
19.77
5.298
146
2009 WM105
7
S
17,970
44
(2009 WM105)
195
23.57
9.091
138
2009 WG7
8
S
19,900
8.3
(2009 WG7)
37
23.1
9.233
154
2009 WG106
7
S
2,696
14
(2009 WG106)
62
22.29
9.736
114
2009 WF54
9
S
363
12
(2009 WF54)
54
23.56
11.27
234
2009 WD54
8
3,593
3.5
(2009 WD54)
16
null
10.715
194
2009 VT
0
3
61
(2009 VT)
272
21.2
11.937
354
2025 VE6
6
267
11
(2025 VE6)
49
null
10.687
114
2009 WC106
8
S
159,378
14
(2009 WC106)
62
20.49
5.824
186
2009 VM24
8
S
655
7.8
(2009 VM24)
35
21.43
10.483
346
2009 VS25
6
S
14,162
23
(2009 VS25)
103
23.2
10.276
346
2009 VA
9
323
3.3
(2009 VA)
15
null
10.394
338
2009 UZ87
6
152,545
11
(2009 UZ87)
51
22.75
8.317
146
2009 UY19
2
381,362
36
(2009 UY19)
160
18.63
5.079
98
2023 FS1
6
1,261
16
(2023 FS1)
72
null
10.612
234
2009 UX87
7
S
2,155
15
(2009 UX87)
68
22.12
10.385
178
523632
0
2,098
87
523632 (2009 UX17)
388
23.96
10.469
338
2009 UD2
0
1,255
63
(2009 UD2)
282
22.38
10.361
218
2009 UK20
6
S
286,623
10
(2009 UK20)
43
23.84
6.347
146
2009 UD
5
803,316
6.3
(2009 UD)
28
23.4
4.673
74
2009 UB
9
S
2,968
14
(2009 UB)
62
23.59
10.222
218
2009 TP
6
428,390
33
(2009 TP)
148
22.18
6.173
162
2009 TM8
6
11
3.6
(2009 TM8)
16
null
11.888
306
2009 TJ4
7
S
80,310
10
(2009 TJ4)
47
20.95
6.843
114
2009 TD8
7
S
45,536
7.3
(2009 TD8)
32
23.83
9.323
210
2009 TD17
7
S
223,112
5
(2009 TD17)
22
23.54
6.583
162
837134
0
12
191
837134 (2013 CQ35)
853
23.17
11.485
354
2022 WT11
3
7,322
27
(2022 WT11)
120
22.51
9.608
346
2022 WJ10
6
1,553
5.3
(2022 WJ10)
24
null
11.014
338
2007 RV12
7
S
2
13
(2007 RV12)
59
19.94
11.893
394
2009 SJ
8
S
351
12
(2009 SJ)
54
23.53
10.667
338
2009 SC170
8
S
2,185
4.4
(2009 SC170)
20
23.33
10.107
162
2009 SH1
9
26,665
2.3
(2009 SH1)
10
null
8.548
202
2009 RU1
0
403
25
(2009 RU1)
112
21.45
11.484
314
2009 RH
8
S
5,922
30
(2009 RH)
135
23.7
9.022
242
2009 QR
7
19,630
5.8
(2009 QR)
26
null
8.201
74
2009 QE34
6
15,533
33
(2009 QE34)
148
22.99
9.977
210
2022 YJ4
7
S
48,997
7
(2022 YJ4)
31
21.3
7.866
146
2009 PD
8
S
22,125
25
(2009 PD)
112
23.34
8.469
194
2009 OS5
0
410,475
23
(2009 OS5)
103
22.28
6.078
42
2009 KR4
8
S
327
17
(2009 KR4)
78
22.95
10.569
146
2008 YV32
7
S
111
10
(2008 YV32)
43
20.55
11.407
282
2016 DZ21
7
684
14
(2016 DZ21)
65
null
11.18
322
2009 HG
0
1,152
24
(2009 HG)
105
23.39
11.083
298
2009 HC
0
1,001,682
20
(2009 HC)
91
22.17
4.44
66
2025 QB5
6
719
13
(2025 QB5)
57
null
10.205
98
2009 FX4
7
S
19,477
14
(2009 FX4)
65
19.35
9.479
234
2009 FK
7
S
29
3.8
(2009 FK)
17
23.38
11.877
210
2009 ET
9
730
6
(2009 ET)
27
null
11.07
186
2009 FE19
7
28
7.3
(2009 FE19)
32
null
11.521
346
465617
0
157
93
465617 (2009 EK1)
416
20.86
10.244
330
2009 EH1
8
483
4.9
(2009 EH1)
22
null
10.365
362
457663
0
67
153
457663 (2009 DN1)
684
20.23
11.413
170
2009 DC45
8
21
5.3
(2009 DC45)
23
null
11.711
354
2009 DC1
6
1,871
28
(2009 DC1)
123
23.99
11.214
330
2009 CV
0
487,542
24
(2009 CV)
108
19.05
5.949
50
2009 CE
1
6,973
24
(2009 CE)
107
23.07
9.934
154
2009 BW2
2
1,105,655
17
(2009 BW2)
74
23.25
5.154
90
2009 BO5
7
484
7.6
(2009 BO5)
34
null
11.104
266
528807
0
24,468
67
528807 (2009 BL71)
300
22.72
8.914
306
2009 BF58
7
37
6
(2009 BF58)
27
null
11.648
282
2009 BG
7
S
7,281
14
(2009 BG)
62
23.76
9.581
314
2013 CN118
8
S
15,891
14
(2013 CN118)
63
23.18
9.805
330
2021 GL10
0
707
39
(2021 GL10)
175
21.03
10.408
330
2024 GA6
6
7
5.7
(2024 GA6)
25
null
11.665
354
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 %
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%
obs_flag str Observation flag from NHATS indicating whether the object is currently observable or has upcoming observing opportunities S 0.3%
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%
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%
full_name str Full formatted name/designation including any IAU proper name (2010 PS66) 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%
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 40.6%
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

  • 6,948 accessible asteroids
  • Mean minimum delta-v: 9.04 km/s
  • Lowest delta-v target: 3.32 km/s
  • 700 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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