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Visual-Cortical Enhancement by Acoustic Distractors

<p>This dataset contains the data aggregated for the repeated measures univariate ANOVAs describe in the main text of the paper (under revision): &lsquo;Visual-Cortical Enhancement by Acoustic Distractors: The Effects of Endogenous Spatial Attention and Visual Working Memory Load&rsquo;. We analyzed the amplitude of sound-elicited ACOP as a function of visual working memory load and endogenous spatial attention.</p> <p>The files: &lsquo;accuracy&rsquo;, &lsquo;reaction times&rsquo;, and &lsquo;k-capacity&rsquo; refer to behavioral performance. All these files contain data aggregated for the repeated measures univariate ANOVA with factors of correspondence (same/different side relative to sound location) and load (low/high).</p> <p>The other files refer to the ERP components of interest, namely the CDA, the N1 and the ACOP.</p> <p>Each row always corresponds to a participant. Column codes are described below for each file, together with further details:</p> <p><strong>Accuracy</strong>: is reported on a scale 0-1. Column1= participant id number; Column2= High load/different; Column3= High load/same; Column4= Low load/different; Column5= Low load/same</p> <p><strong>Reaction times</strong>: mean rts for trials with correct responses or responses that were within 2 SD from each observer&rsquo;s mean. Column1= participant id number; Column2= High load/different; Column3= High load/same; Column4= Low load/different; Column5= Low load/same</p> <p><strong>k-capacity</strong>: estimate of participants&rsquo; visual working memory capacity, computed using Pashler&rsquo;s formula. Column1= participant id number; Column2= High load/different; Column3= Low load/different; Column4= High load/same; Column5= Low load/same</p> <p><strong>CDA</strong>: it corresponds to the file ANOVA with factors of hemisphere (contralateral/ipsilateral in relation to where the cue arrow pointed) and load (low/high) for the mean CDA amplitudes (300-900 ms time window, time-locked to the memory array onset). Column1= participant id number; Column2= Low load/ ipsilateral; Column3= Low load/ contralateral; Column4= High load/ ipsilateral; Column5= High load/ contralateral</p> <p><strong>ACOP</strong>: it corresponds to the file ANOVA with factors of hemisphere (contralateral/ipsilateral to side of sound), load (low/high), and correspondence with cued side (same/different) for the mean ACOP amplitudes (280-500 ms time window, time-locked to the sound onset). Column1= participant id number; Column2= Low load/same/ipsilateral; Column3= Low load/different/ipsilateral; Column4= High load/same/ipsilateral; Column5= High load/different/ipsilateral; Column6= Low load/same/contralateral; Column7= Low load/different/contralateral; Column8= High load/same/contralateral; Column9= High load/different/contralateral</p> <p><strong>N1</strong>: it corresponds to the file ANOVA with factors of hemisphere (contralateral/ipsilateral to side of sound), load (low/high), and correspondence with cued side (same/different) for the mean N1 amplitudes (80-150 ms time window, time-locked to the sound onset). Column1= participant id number; Column2= Low load/same/ipsilateral; Column3= Low load/different/ipsilateral; Column4= High load/same/ipsilateral; Column5= High load/different/ipsilateral; Column6= Low load/same/contralateral; Column7= Low load/different/contralateral; Column8= High load/same/contralateral; Column9= High load/different/contralateral</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

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

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0