Dataset supplementing "Low-high-low or high-low-high? Pattern effects on sequential auditory scene analysis."
<p>These data supplement the paper</p> <p>Thomassen, S., Hartung, K., Einhäuser, W., & Bendixen, A. (2022). Low-high-low or high-low-high? Pattern effects on sequential auditory scene analysis. <em>Journal of the Acoustical Society of America, 152</em>(5), 2758-2768.<a href="https://doi.org/10.1121/10.0015054"> https://doi.org/10.1121/10.0015054</a></p> <p><br> figure2.m, figure3.m and figure4.m reproduce the respective figures of the paper, using the data of dataExp1.mat, dataExp2.mat and dataExp3.mat, respectively (Figure 1 is not a Results figure).</p> <p>Please note that the legend command may throw a warning or an error in some matlab versions, when interpreting the underscore (_) as command character. These warnings can be ignored or the legend command commented out.</p> <p><br> The mat-files contain the following data:</p> <p>dataExp1.mat:</p> <p>The 18 x 4 x 3 (subjects x Delta f x pattern) cell arrays</p> <p> time_buttonPress_integrated <br> time_buttonPress_segregated <br> time_buttonRelease_integrated <br> time_buttonRelease_segregated </p> <p>contain the time points (in ms relative to block onset) at which the button for integrated / segregated percept is pressed / released. These matrices are already sorted by condition (in Delta f and pattern), and the buttons organized by reported percept.</p> <p> </p> <p>The 18 x 4 x 3 (subjects x Delta f x pattern) matrix</p> <p> time_blockEnd</p> <p>contains the timepoint (in ms after onset) of the end of each block.</p> <p><br> The 18 x 4 x 3 (subjects x Delta f x pattern) matrix<br> <br> originalBlockNum </p> <p>contains the serial order of the block of this condition during the experiment.</p> <p><br> The 1 x 4 vector</p> <p> Df</p> <p>contains the Delta f levels used (in order as used in the matrices' and cells' second dimension).</p> <p><br> The 1 x 3 cell<br> <br> patternLabel </p> <p>contains the patterns used (in order as used in the matrices' and cells' third dimension).</p> <p>see figure2.m for an example</p> <p> </p> <p>dataExp2.mat:</p> <p>The 18 x 2 x 2 x 2 x 20 cell</p> <p> buttonTimes</p> <p>contains the times (in ms relative to trial onset) at which the button status changed.</p> <p><br> The 18 x 2 x 2 x 2 x 20 cell</p> <p> buttonStates</p> <p>contains the new state of the button at the corresponding time in buttonTimes.</p> <p>The dimensions of both cell arrays are (in order):<br> subject (18 levels)<br> convergence (2 levels: divergent, convergent)<br> pattern (2 levels: HLH_, LHL_)<br> duration (2 levels: short/fast [10s], long/slow [15s])<br> instance (20 repetitions).</p> <p>see figure3.m for an example</p> <p> </p> <p>dataExp3.mat</p> <p>The 20 x 2 x 4 x 30 (subjects x pattern x Delta f x repetition) cell arrays</p> <p> time_buttonPress_integrated </p> <p> time_buttonPress_segregated </p> <p>contain the time points (in s relative to block onset) at which the button for integrated / segregated percept is pressed.</p> <p><br> The 1 x 2 cell</p> <p> patternLabel </p> <p>contains the patterns used (in order as used in the cells' second dimension).</p> <p>The 1 x 4 vector</p> <p> Df</p> <p>contains the Delta f levels used (in order as used in the cells' third dimension).</p> <p><br> Note that the order of dimensions and of patterns deviates between the three experiments, but is consistent within each experiment.</p> <p> </p>
ShareScore
40/100
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
- 8
- Engagement
- 4