Data from 'Sensorimotor model of obstacle avoidance in echolocating bats'
<p>The entry contains all data reported in the paper.</p> <p>Data are provided as MATLAB mat files. These can be read using MATLAB and other (free) software, including:</p> <ul> <li>R: https://www.r-project.org/</li> <li>SciPy: http://wiki.scipy.org/Cookbook/Reading_mat_files</li> </ul> <p>Each .mat file contains the data for a separate simulation:</p> <ul> <li>Experiment1.mat: randomly distributed reflectors in horizontal plane</li> <li>Experiment2.mat: randomly distributed reflectors in vertical plane</li> <li>Experiment3.mat: randomly distributed reflectors, 3D</li> <li>Experiment4.mat: torus setting</li> <li>Experiment7.mat: patch of fir forest</li> <li>Experiment8.mat: forest road</li> <li>Experiment9.mat: vertical wires</li> <li>Experiment10.mat: horizontal wires</li> <li>Experiment11.mat: randomly distributed reflectors in horizontal plane, for FM bat</li> <li>Experiment12.mat: randomly distributed reflectors in vertical plane, for FM bat</li> </ul> <p>The files contain the same entries. The relevant entries are the following:</p> <p><strong>condition labels</strong>: the various conditions (i.e. controller variants) are encoded using the values in the arrays RD, EF, OA and CS. For example, for experiment1.mat these have following values below.</p> <ul> <li>RD = [0 0 1 2 0];</li> <li>EF = [0 1 0 0 0];</li> <li>OA = [0 0 0 0 0];</li> <li>RF = [1 1 1 1 1];</li> <li>CS = [0 0 0 0 1];</li> </ul> <p>RD: a value of 1 in RD indicates controller random A, 2 indicates controller random B.</p> <p>EF: a value of 1 indicates the the fixed ear controller.</p> <p>OA: indicates the controller with the ears fixed of axis</p> <p>RF: indicates the phases of the reflections were randomized</p> <p>CS: indicates the controller with constrained elevation</p> <p>Hence, the 5 conditions/controllers simulated for the randomly distributed reflectors in horizontal plane are the Default controller (no random, no fixed ears, no constraints), Fixed Ear, Random A, Random B and Constrained controller, respectively.</p> <p>The controller types in the other .mat files can be decoded similarly.</p> <ul> </ul> <p>Batpositions is 4D matrix [simulation steps x dimension (x, y, z) x condition x replication]. This matrix contains the 3D <strong>positions </strong>for the simulated bat for all replications and controllers. Similarly, velocities, distances, reflectors contain the <strong>speed of the bat, the distance to the nearest reflector, the number of reflectors returning an echo > 0 dB, respectively</strong>.</p> <p>Worlds contains the <strong>3D positions of the reflectors</strong> for each of the replications.</p> <p>Other variables are support variables used while running the simulations.</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
- December 31, 2014
- License
- cc-zero
- DOI
- 10.5281/zenodo.31120
Scored with release 0.9.0
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