Kinetic Traces — data collection
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This package contains five synchronized signal blocks from a controlled synthetic benchmark.
Each block uses the same 400-sample order, class labels, sample parameters, and 30 time points.
Array order is [sample, time, feature].

Files
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- aligned_frames.npz: Aligned intensity frames; shape (400, 30, 256)
- oblique_frames.npz: Oblique intensity frames; shape (400, 30, 324)
- temporal_events.npz: Signed temporal events; shape (400, 30, 512)
- spatial_spectrum.npz: Low-frequency spatial spectrum; shape (400, 30, 64)
- motion_fields.npz: Two-channel motion fields; shape (400, 30, 288)

Python / NumPy
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import numpy as np
block = np.load('aligned_frames.npz', allow_pickle=False)
data = block['data']
labels = block['class_id']

Integrity
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See collection_manifest.json for byte lengths and SHA-256 checksums.