Training dataset for trajectory classification
<p>Dataset generated by <a href="http://phydev.github.io/trajpy">TrajPy </a>for training a trajectory classifier. 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> </p> <p> </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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