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

  • 7,025 accessible asteroids
  • Mean minimum delta-v: 9.04 km/s
  • Lowest delta-v target: 3.39 km/s
  • 707 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

Downloads last month
327

Collections including juliensimon/nhats-accessible-asteroids