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Chimney Swift processed dataset from "Unraveling hidden interactions in complex systems with deep learning"

<p>Pre-processed dataset of chimney swift trajectory from the paper &quot;<a href="https://www.nature.com/articles/s41598-021-91878-w">Unraveling hidden interactions in complex systems with deep learning</a>&quot;(https://www.nature.com/articles/s41598-021-91878-w). The original data is provided by &quot;Three-dimensional trajectories and network analyses of group behaviour within chimney swift flocks during approaches to the roost&quot; (<a href="https://doi.org/10.1098/rspb.2016.2602">https://doi.org/10.1098/rspb.2016.2602</a>).</p> <p>Needs to be placed at &quot;./data/Flock/system&quot; in order to properly generate the dataset (See&nbsp;https://github.com/nokpil/AgentNet).</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

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

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
July 8, 2021
License
cc-by-4.0
DOI
10.5281/zenodo.5084182

Scored with release 0.9.0

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