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Training dataset for trajectory classification

<p>Dataset generated by <a href="http://phydev.github.io/trajpy">TrajPy&nbsp;</a>for training a trajectory classifier.&nbsp;For more details: https://trajpy.readthedocs.io</p> <p>Classes: normal diffusion, direct motion, anomalous diffusion and confined.</p> <p>Columns:</p> <p>alpha: anomalous exponent<br> ratio: mean squared displacement ratio<br> df: fractal dimension<br> anisotropy: radius of gyration anisotropy<br> kurtosis: radius of gyration kurtosis<br> straightness: similarity to a straight trajectory<br> gaussianity: similarity to a Gaussian distribution<br> trappedness: probability of being trapped<br> diffusivity: short-time diffusion coefficient<br> efficiency: movement efficiency</p> <p>&nbsp;</p> <p>&nbsp;</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4

Topics

Dataset details

Repository
zenodo
Published
January 24, 2020
License
gpl-3.0-or-later
DOI
10.5281/zenodo.3627649

Scored with release 0.9.0

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