YYYY
int64
2.02k
2.02k
DOY
int64
1
10
HR
int64
0
23
MN
int64
0
59
Timeshift
float64
0
7k
BX
float64
0
10
Proton Density
float64
1.43
1,000
Temperature
float64
21.7k
10M
X(s/c)
float64
197
10k
Y(s/c)
float64
55.2
10k
Z(s/c)
float64
9.71
10k
2,023
1
4
6
1,513
0.38
999.99
9,999,999
9,999.99
9,999.99
9,999.99
2,023
1
4
27
1,526
0.13
6.77
164,280
197.11
55.25
11.39
2,023
1
4
28
1,418
0.11
6.35
155,931
197.11
55.24
11.39
2,023
1
4
29
1,597
0.48
5.04
137,256
197.11
55.25
11.39
2,023
1
4
30
1,551
0.91
5.24
158,185
197.12
55.27
11.38
2,023
1
4
31
1,486
1.38
5.27
161,175
197.12
55.27
11.38
2,023
1
4
32
1,537
3.9
5.21
161,885
197.12
55.27
11.38
2,023
1
4
33
1,538
3.3
5.67
168,354
197.11
55.26
11.39
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4
34
1,442
1.97
5.51
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197.12
55.27
11.38
2,023
1
4
35
1,414
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5.25
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55.27
11.38
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1
4
36
1,314
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197.12
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1
4
37
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197.12
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4
38
1,211
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9,999.99
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4
42
1,418
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197.12
55.3
11.38
2,023
1
4
45
1,748
1.26
5.06
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197.12
55.29
11.38
2,023
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4
47
1,727
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9,999,999
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4
48
1,727
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999.99
9,999,999
9,999.99
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9,999.99
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4
50
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197.12
55.3
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2,023
1
4
51
1,836
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4.78
137,597
197.12
55.3
11.38
2,023
1
4
52
1,849
3.87
5
137,802
197.12
55.3
11.38
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1
4
53
1,864
3.64
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137,828
197.12
55.3
11.38
2,023
1
4
54
1,885
3.06
5.03
137,828
197.12
55.3
11.38
2,023
1
4
55
1,906
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999.99
9,999,999
9,999.99
9,999.99
9,999.99
2,023
1
4
56
1,942
2.56
999.99
9,999,999
9,999.99
9,999.99
9,999.99
2,023
1
4
57
1,964
2.36
4.81
139,327
197.12
55.31
11.38
2,023
1
4
58
1,959
1.76
5.07
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197.12
55.31
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2,023
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4
59
1,987
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5.15
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197.12
55.31
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2,023
1
5
0
2,005
0.32
5.55
150,404
197.12
55.31
11.38
2,023
1
5
1
1,956
1.86
6.07
184,808
197.12
55.32
11.38
2,023
1
5
2
1,887
0.65
5.74
168,807
197.12
55.32
11.38
2,023
1
5
3
1,848
1.75
5.4
149,681
197.12
55.32
11.38
2,023
1
5
4
1,883
2.45
5.9
171,938
197.12
55.32
11.38
2,023
1
5
5
1,927
2.06
5.84
168,472
197.12
55.32
11.38
2,023
1
5
6
1,856
1.43
6.28
191,626
197.12
55.33
11.38
2,023
1
5
7
1,836
1.51
6.64
206,188
197.12
55.33
11.38
2,023
1
5
8
1,809
0.63
6.5
190,950
197.12
55.33
11.38
2,023
1
5
23
2,379
0.49
4.86
145,498
197.12
55.35
11.38
2,023
1
5
24
2,385
0.35
4.81
130,417
197.12
55.35
11.38
2,023
1
5
36
2,677
0.6
5.36
189,119
197.12
55.37
11.38
2,023
1
5
37
2,700
2.35
5.36
189,119
197.12
55.37
11.38
2,023
1
5
38
2,721
2.01
4.9
147,821
197.12
55.37
11.38
2,023
1
5
39
2,752
2.05
4.9
147,821
197.12
55.37
11.38
2,023
1
5
40
2,776
0.57
999.99
9,999,999
9,999.99
9,999.99
9,999.99
2,023
1
5
42
2,831
0.59
5.06
159,963
197.13
55.38
11.38
2,023
1
5
43
2,867
0.04
999.99
9,999,999
9,999.99
9,999.99
9,999.99
2,023
1
5
44
2,901
0.29
999.99
9,999,999
9,999.99
9,999.99
9,999.99
2,023
1
5
45
2,939
0.01
4.6
139,508
197.13
55.38
11.38
2,023
1
5
53
3,193
1
4.81
156,806
197.13
55.39
11.38
2,023
1
7
19
2,575
2.23
999.99
9,999,999
9,999.99
9,999.99
9,999.99
2,023
1
7
20
2,583
2.21
4.7
140,459
197.14
55.61
11.37
2,023
1
7
21
2,680
2.31
4.93
161,913
197.14
55.61
11.37
2,023
1
7
22
2,670
2.09
5.09
177,399
197.14
55.61
11.37
2,023
1
7
23
2,708
2.65
999.99
9,999,999
9,999.99
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1
7
24
2,592
2.54
999.99
9,999,999
9,999.99
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1
7
25
2,330
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159,776
197.14
55.64
11.37
2,023
1
7
26
2,771
1.81
4.97
141,475
197.14
55.62
11.37
2,023
1
7
27
2,820
2.07
4.72
135,872
197.14
55.62
11.37
2,023
1
7
28
2,872
2.2
999.99
9,999,999
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9,999.99
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2,023
1
7
29
2,926
1.9
999.99
9,999,999
9,999.99
9,999.99
9,999.99
2,023
1
7
31
2,650
1.65
5.45
122,075
197.14
55.63
11.37
2,023
1
7
32
2,775
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5.23
121,594
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55.63
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2,023
1
7
33
2,897
1.41
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103,813
197.14
55.62
11.37
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1
7
34
2,828
1.61
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121,807
197.14
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11.37
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1
7
35
2,750
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5.29
140,524
197.14
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7
36
2,855
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55.63
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1
7
37
2,529
0.87
5.08
137,092
197.14
55.64
11.37
2,023
1
7
38
2,548
0.29
5.14
158,597
197.14
55.65
11.37
2,023
1
7
39
2,441
0.25
4.99
159,539
197.14
55.65
11.37
2,023
1
7
40
2,399
0.54
4.77
142,310
197.14
55.66
11.37
2,023
1
7
41
2,486
0.67
4.45
125,360
197.14
55.66
11.37
2,023
1
7
42
2,527
0.41
4.31
126,409
197.14
55.67
11.37
2,023
1
7
43
2,490
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144,939
197.14
55.66
11.37
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1
8
32
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129,525
197.15
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11.37
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39
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5.39
137,416
197.17
56.11
11.36
2,023
1
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40
1,390
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136,832
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56.11
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1
10
42
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2
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149,621
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3
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4
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11
5
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11
6
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11
7
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8
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11
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11
10
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11
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11
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197.17
56.15
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11
15
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169,666
197.17
56.15
11.36
2,023
1
11
16
2,327
1.58
5.21
153,253
197.17
56.15
11.36

HET Transfer Orbit Efficiency Dataset

Overview

This dataset encapsulates vital metrics relevant to understanding how space weather affects the operation and efficiency of Hall Effect Thrusters (HETs) used in spacecraft transfer orbits. These thrusters, which use noble gases, are crucial for precise maneuvering and station-keeping in space missions.

Dataset Description

The dataset comprises various parameters recorded during the operation of HETs operating in Transfer Orbits. Each entry is timestamped and includes measurements of magnetic fields, proton density, temperatures, and spacecraft coordinates — all factors influenced by space weather.

Why Space Weather?

Understanding space weather's effects on Hall Effect Thrusters (HETs) is crucial for:

  • Thruster Performance: Variations in plasma density and magnetic fields can directly affect thrust efficiency.
  • Component Erosion: Increased particle fluxes can accelerate wear on thruster components.
  • Operational Stability: Fluctuations in solar activity can impact the power systems that feed these thrusters.
  • Mission Safety and Planning: Protecting electronics from solar radiation and accurately planning trajectory adjustments are vital for mission success.

Data Fields

  • YYYY: Year of data recording (converted to 2023 for consistency in examples)
  • DOY: Day of the year
  • HR: Hour of the day
  • MN: Minute of the hour
  • Timeshift: Time shift in seconds
  • BX: Magnetic field component in nanoTesla (nT)
  • Proton Density: Density of protons per cubic centimeter (n/cc)
  • Temperature: Temperature in Kelvin
  • X(s/c), Y(s/c), Z(s/c): Spacecraft coordinates in GSE coordinate system (in Earth Radii, Re)

Example Data

| YYYY | DOY | HR | MN | Timeshift | BX   | Proton Density | Temperature | X(s/c) | Y(s/c) | Z(s/c) |
|------|-----|----|----|-----------|------|----------------|-------------|--------|--------|--------|
| 2023 | 1   | 4  | 6  | 1513      | 0.38 | 999.99         | 9999999.    | 9999.99| 9999.99| 9999.99|
| 2023 | 1   | 4  | 27 | 1526      | 0.13 | 6.77           | 164280.     | 197.11 | 55.25  | -11.39 |

Usage Examples

Here's how you might use this dataset in a Python script:

import pandas as pd

data = pd.read_csv('het_data.csv')
print(data.head())

Additional Information

For further queries or if you wish to contribute to or extend this dataset, please reach out through the repository's author

License

This dataset is made available under the MIT License. For more details, see the LICENSE file included with the dataset.

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