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Data for Concurrent Time-Series Selections Using Deep Learning and Dimension Reduction

<p>This data set has the ground truth labels for the publication &quot;Concurrent Time-Series Selections Using Deep Learning and Dimension Reduction&quot;.</p> <p>The raw tri-axial accelerometry data is available as a separate data set:<br> dataset doi: 10.5281/zenodo.5500402<br> original paper for that data set doi: 10.3354/esr00084</p> <p>The data set here (available at the doi: 10.5281/zenodo.5503031) has the ground truth labels in 4 columns.</p> <p>The first and second columns are the start and end of the label in normalized coordinates [-1,1] representing the x-axis mouse clicks that created the label.<br> The third and fourth columns are transformed back to the data x-axis [0,173255].</p> <p>1D_1 are the labels for surfacing feature<br> 1D_2 are the labels for diving feature</p> <p>We also provide a recording of one of the participants in the user study.</p>

ShareScore

24/100

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
0
Engagement
0