jgalego/orbit2vec
Feature Extraction • 3.31M • Updated • 23
Datasets:
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norad_id int32 25.5k 66.7k | day int32 19.7k 20.5k | maneuver bool 2
classes | a list | b list |
|---|---|---|---|---|
25,544 | 19,736 | true | [
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25,544 | 19,778 | true | [
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25,544 | 19,797 | true | [
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25,544 | 19,816 | false | [
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25,544 | 19,840 | true | [
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25,544 | 19,851 | false | [
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25,544 | 19,856 | false | [
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25,544 | 19,868 | true | [
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25,544 | 19,884 | true | [
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25,544 | 19,890 | true | [
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End of preview. Expand in Data Studio
Orbit2Vec windows
Windows of daily orbital elements for 70,953 objects, the training data of jgalego/orbit2vec.
Configs
windows: 32-day windows of daily mean elements.aandbare the two windows of a pair (adjacent windows of one object for train; the earlier and later test windows for test), as flattened float32 arrays of 32 days by 7 elements. 302,056 train rows and 28,230 test rows.objects: one row per object with its catalogue number, name, constellation or payload group, owner, andseen, whether it was in training (the other 10% are held out).maneuvers: 823 labelled Starlink cases used only for evaluation.aandbare the 10 days before and after (10 days by 7 elements), andmaneuveris true for a manoeuvre and false for a quiet day.
Sources
Elements come from juliensimon/space-track-tle-history (CC BY 4.0, originally Space-Track), with repeated epochs collapsed to the latest TLE per UTC day. Groups and owners come from juliensimon/space-track-satcat. Manoeuvre labels come from RhynoWu/starlink-maneuver-db. The script that builds the windows is the data command in the model repo.
Mean elements from public TLEs are accurate to a few km, and classified objects are missing.
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Models trained or fine-tuned on jgalego/orbit2vec-windows