The relative contributions of subjective and musical factors in music for sleep

This repository contains data collected in an online listening study that gathered ratings on musical excerpts categorised for the purposes of sleeping, relaxing, and energising. Two files are included, described below:## data_surveyresponsesFull survey responses including ratings and participant background info, including items from the STOMP (Rentfrow et al., 2011; Rentfrow & Gosling, 2003), TIPI (Gosling et al., 2003), and PSQI (Buysse et al., 1989) questionnaires and relevant calculated scores. Full questions are given in the headings, additional notes as follows:Q12 – Genres and personality categories from the STOMP questionnaire. Genres are rated on seven-point scales from (1) Strongly dislike to (7) Strongly like.Q13 – TIPI items rated from (1) Disagree strongly to (7) Agree strongly.Q14 – Responses to the question ‘Do you do/use any of the following to help with your sleep?’ rated on a five-point scale of frequency; 1 = Never, 2 = Sometimes, but rarely, 3 = Occasionally, 4 = Quite often, 5 = Always.Q15 – Selected items from Q14 that can be used passively and continuously rated for how they are used; 1 = Never, 2 = In the evening, before I go to bed, 3 = In the evening, in bed as I fall asleep, 4 = All night as I sleep.Q16 – Responses to the question ‘For the item/s you have selected in the questions above [Q14/15], how do you think they help you sleep?’ rated from (1) Strongly agree to (5) Strongly disagree.Q17-27 – PSQI questions.Q28 – Mood and alertness questions rated on nine-point scales (1-9). Headings indicate left | right poles of the scale.Q29-84 – Music ratings given on a nine-point scales (1-9) and open comment responses for each track. Headings indicate left | right poles of the scale.Q85 – Final comments.## data_tracklistList of music samples and corresponding track ID, survey question number, and features extracted using the MIR Toolbox for MATLAB.The study received ethical approval from the University of Sheffield, application reference no.: 036383本仓库包含一项在线音乐聆听实验采集的数据，该实验收集了针对按睡眠辅助、放松舒缓、提神醒脑三类划分的音乐片段的评分数据。本次公开数据包含两个文件，详情如下： ## data_surveyresponses 完整问卷应答数据，涵盖所有评分结果与参与者背景信息，其中包含STOMP（音乐偏好调查量表，Rentfrow等，2011；Rentfrow & Gosling，2003）、TIPI（十项人格量表，Gosling等，2003）与PSQI（匹兹堡睡眠质量指数，Buysse等，1989）三类问卷的条目及对应计算得分。问卷完整问题详见表头，补充说明如下： Q12：来自STOMP问卷的音乐流派与人格类别条目。音乐流派采用7级李克特量表评分，范围为1（非常不喜欢）至7（非常喜欢）。 Q13：TIPI条目采用7级李克特量表评分，范围为1（完全不同意）至7（完全同意）。 Q14：针对“你是否会使用以下物品/方式辅助睡眠？”的应答，采用5级频率量表评分：1=从不，2=偶尔但极少，3=偶尔，4=较为频繁，5=总是。 Q15：从Q14中筛选出的可被动持续使用的条目，针对其使用场景进行评分：1=从不，2=睡前傍晚时段，3=傍晚卧床入睡时段，4=睡眠全程整夜。 Q16：针对“你认为上述[Q14/Q15]中选中的条目如何帮助你睡眠？”的应答，采用5级量表评分，范围为1（完全同意）至5（完全不同意）。 Q17-27：PSQI问卷相关问题。 Q28：情绪与警觉性相关问题，采用9级量表（1-9）评分，表头标注了量表的左右锚定端点。 Q29-84：单条音乐片段的评分，采用9级量表（1-9）评分，并附带每条曲目对应的开放式评论内容，表头标注了量表的左右锚定端点。 Q85：最终反馈评论。 ## data_tracklist 音乐样本列表，包含对应曲目ID、关联问卷问题编号，以及使用MATLAB音乐信息检索（Music Information Retrieval, MIR）工具箱提取的音频特征。 本研究已通过谢菲尔德大学伦理审查，审批申请编号：036383