Datasets used for analysis

These four datasets were used in order to realize the analysis in the paper "Listening behaviors and musical coordination in collective free improvisation". The "conditionsDf" is a long form dataset which was used in order to analyze the distances of the participants to a vertex regarding the experimental condition present (crescendo and decrescendo of the loudness) and moments before the condition."correlations_and_descriptors" was used in order to analyze the impact of a high or low correlation between RMS and spectral centroid in distance variables."distances_and_segmentations" represent the values of distance to the self listening vertex in moments of articulation and pre- and pos-articulation periods."expe2_data" is the data collected in the second study, in which participants rated excerpts divided by collective listening modes.

本四项数据集用于支撑论文《集体自由即兴演奏中的聆听行为与音乐协作》中的分析研究。其中`conditionsDf`为长格式数据集，用于分析参与者相对于某一顶点的距离与当前实验条件（响度渐强与渐弱）及该条件出现前的时刻之间的关联。`correlations_and_descriptors`数据集用于分析均方根（Root Mean Square, RMS）与频谱质心（spectral centroid）间的强弱相关性对距离变量的影响。`distances_and_segmentations`记录了演奏分句时段及分句前后时段内，参与者相对于自身聆听顶点的距离数值。`expe2_data`为第二项研究采集的数据，该研究中参与者对按集体聆听模式划分的音乐片段进行了评分。