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observation_magnitude
float64
13.6
24
obs_flag
large_stringclasses
2 values
designation
large_stringlengths
4
10
n_viable_trajectories
int64
1
11M
orbit_condition_code
int64
0
9
min_diameter_m
float64
0.27
1.28k
full_name
large_stringlengths
16
29
max_diameter_m
float64
1.2
5.74k
min_delta_v_kms
float64
3.39
12
min_mission_duration_days
int64
18
450
23.69
S
2010 PS66
9,060
6
16
(2010 PS66)
73
10.27
210
23.92
429389
10,245
0
81
429389 (2010 PR10)
362
8.399
130
null
2010 PH9
5
7
8.3
(2010 PH9)
37
11.417
354
22.39
2010 MB
2,609
1
21
(2010 MB)
94
10.097
330
null
2010 KV7
24,374
8
11
(2010 KV7)
49
8.524
282
22.87
2010 JK1
776,043
2
23
(2010 JK1)
103
4.839
106
19.26
2010 HA
603,708
0
27
(2010 HA)
121
6.319
114
20.47
2010 GP67
685
0
59
(2010 GP67)
262
10.261
178
null
2010 FY9
184,326
7
7.1
(2010 FY9)
32
6.35
66
23.21
2010 FV9
53,031
2
14
(2010 FV9)
65
8.005
226
20.65
S
2010 FM
1,315
7
6.6
(2010 FM)
30
10.157
154
22.24
S
2010 FT
51,821
7
13
(2010 FT)
56
7.911
210
22.04
S
2023 EQ
196
6
21
(2023 EQ)
92
11.093
338
22.55
S
2010 DE2
36
7
7.6
(2010 DE2)
34
11.336
362
null
2010 CP19
8
8
11
(2010 CP19)
51
11.372
346
null
2010 CJ18
2,005
7
7.6
(2010 CJ18)
34
9.312
330
21.78
2010 CE55
20,202
0
63
(2010 CE55)
282
9.064
154
23.74
2010 CD55
111,351
2
37
(2010 CD55)
166
8.301
242
22.17
S
2023 FP1
283,179
6
8.5
(2023 FP1)
38
6.406
42
null
2023 AS
27,601
6
5.5
(2023 AS)
25
7.399
114
23.48
S
2010 CB19
518
7
22
(2010 CB19)
98
11.065
378
21.84
453563
7
0
157
453563 (2010 BB)
703
11.73
354
23.83
2010 AR1
313
7
12
(2010 AR1)
54
11.205
226
22.14
2010 AL30
1,239
3
6.3
(2010 AL30)
28
10.904
378
null
2010 AN61
68,320
6
6.9
(2010 AN61)
31
7.837
298
22.79
2010 AF30
17
0
78
(2010 AF30)
351
11.815
402
null
2010 AG3
1,693
7
5.5
(2010 AG3)
25
10.672
266
23.98
S
2009 YS
18,067
7
15
(2009 YS)
68
8.711
178
21.91
S
2009 YR
1,077,818
6
4.4
(2009 YR)
20
4.643
50
23.73
2009 YF
477,268
7
20
(2009 YF)
89
5.63
74
23.66
S
2009 XZ6
12,299
7
10
(2009 XZ6)
45
8.802
178
13.94
490581
1,519
0
118
490581 (2009 WZ104)
526
9.766
130
null
2009 XP2
56
6
16
(2009 XP2)
71
11.693
370
null
2009 WW7
22,093
7
2.9
(2009 WW7)
13
9.357
266
23.52
S
2009 WV7
400
7
11
(2009 WV7)
51
11.168
258
19.77
S
2009 WR52
539,192
6
3.8
(2009 WR52)
17
5.298
146
23.69
2009 WM105
17,334
6
44
(2009 WM105)
195
9.12
138
null
2026 MC2
91,389
6
3.8
(2026 MC2)
17
7.037
34
null
2026 LB1
309,789
5
1.9
(2026 LB1)
8.6
6.053
34
23.1
S
2009 WG7
19,900
8
8.3
(2009 WG7)
37
9.233
154
22.29
S
2009 WG106
2,696
7
14
(2009 WG106)
62
9.736
114
23.56
S
2009 WF54
363
9
12
(2009 WF54)
54
11.27
234
null
2009 WD54
3,593
8
3.5
(2009 WD54)
16
10.715
194
23.67
2009 VT
3
0
61
(2009 VT)
272
11.937
354
null
2025 VE6
267
6
11
(2025 VE6)
49
10.687
114
20.49
S
2009 WC106
159,378
8
14
(2009 WC106)
62
5.824
186
21.43
S
2009 VM24
655
8
7.8
(2009 VM24)
35
10.483
346
23.2
S
2009 VS25
14,162
6
23
(2009 VS25)
103
10.276
346
null
2009 VA
323
9
3.3
(2009 VA)
15
10.394
338
22.75
2009 UZ87
152,545
6
11
(2009 UZ87)
51
8.317
146
18.63
2009 UY19
381,362
2
36
(2009 UY19)
160
5.079
98
null
2023 FS1
1,261
6
16
(2023 FS1)
72
10.612
234
22.12
S
2009 UX87
2,155
7
15
(2009 UX87)
68
10.385
178
23.96
523632
2,098
0
87
523632 (2009 UX17)
388
10.469
338
22.38
2009 UD2
1,255
0
63
(2009 UD2)
282
10.361
218
23.84
S
2009 UK20
286,623
6
10
(2009 UK20)
43
6.347
146
23.4
2009 UD
803,316
5
6.3
(2009 UD)
28
4.673
74
23.59
S
2009 UB
2,968
9
14
(2009 UB)
62
10.222
218
22.18
2009 TP
428,390
6
33
(2009 TP)
148
6.173
162
null
2009 TM8
11
6
3.6
(2009 TM8)
16
11.888
306
20.95
S
2009 TJ4
80,310
7
10
(2009 TJ4)
47
6.843
114
23.83
S
2009 TD8
45,536
7
7.3
(2009 TD8)
32
9.323
210
23.54
S
2009 TD17
223,112
7
5
(2009 TD17)
22
6.583
162
21.63
837134
12
0
190
837134 (2013 CQ35)
849
11.485
354
22.51
2022 WT11
7,322
3
27
(2022 WT11)
120
9.608
346
null
2022 WJ10
1,553
6
5.3
(2022 WJ10)
24
11.014
338
19.94
S
2007 RV12
2
7
13
(2007 RV12)
59
11.893
394
23.53
S
2009 SJ
351
8
12
(2009 SJ)
54
10.667
338
23.33
S
2009 SC170
2,185
8
4.4
(2009 SC170)
20
10.107
162
null
2009 SH1
26,665
9
2.3
(2009 SH1)
10
8.548
202
21.45
2009 RU1
403
0
25
(2009 RU1)
112
11.484
314
23.7
S
2009 RH
5,922
8
30
(2009 RH)
135
9.022
242
null
2009 QR
19,630
7
5.8
(2009 QR)
26
8.201
74
22.99
2009 QE34
15,533
6
33
(2009 QE34)
148
9.977
210
21.3
S
2022 YJ4
48,997
7
7
(2022 YJ4)
31
7.866
146
23.34
S
2009 PD
22,125
8
25
(2009 PD)
112
8.469
194
22.28
2009 OS5
410,475
0
23
(2009 OS5)
103
6.078
42
22.95
S
2009 KR4
327
8
17
(2009 KR4)
78
10.569
146
20.55
S
2008 YV32
111
7
10
(2008 YV32)
43
11.407
282
null
2016 DZ21
684
7
14
(2016 DZ21)
65
11.18
322
23.39
2009 HG
1,152
0
24
(2009 HG)
105
11.083
298
23.94
2009 HC
1,001,682
0
20
(2009 HC)
91
4.44
66
null
2025 QB5
719
6
13
(2025 QB5)
57
10.205
98
19.35
S
2009 FX4
19,477
7
14
(2009 FX4)
65
9.479
234
23.38
S
2009 FK
29
7
3.8
(2009 FK)
17
11.877
210
null
2009 ET
730
9
6
(2009 ET)
27
11.07
186
null
2009 FE19
28
7
7.3
(2009 FE19)
32
11.521
346
20.86
465617
157
0
93
465617 (2009 EK1)
416
10.244
330
null
2009 EH1
483
8
4.9
(2009 EH1)
22
10.365
362
20.23
457663
67
0
153
457663 (2009 DN1)
684
11.413
170
null
2009 DC45
21
8
5.3
(2009 DC45)
23
11.711
354
23.99
2009 DC1
1,871
6
28
(2009 DC1)
123
11.214
330
19.05
2009 CV
487,542
0
24
(2009 CV)
108
5.949
50
23.07
2009 CE
6,973
1
24
(2009 CE)
107
9.934
154
23.25
2009 BW2
1,105,655
2
17
(2009 BW2)
74
5.154
90
null
2009 BO5
484
7
7.6
(2009 BO5)
34
11.104
266
22.72
528807
24,468
0
67
528807 (2009 BL71)
300
8.914
306
null
2009 BF58
37
7
6
(2009 BF58)
27
11.648
282
23.76
S
2009 BG
7,281
7
14
(2009 BG)
62
9.581
314
23.18
S
2013 CN118
15,891
8
14
(2013 CN118)
63
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 %
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 40.8%
obs_flag str Observation flag from NHATS indicating whether the object is currently observable or has upcoming observing opportunities S 0.2%
designation str Primary MPC asteroid designation (e.g., '2021 PH27', '1999 AO10') 2010 PS66 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%
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%
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%
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

  • 7,012 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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