five

Music-to-Color Associations of Single-line Piano Melodies in Non-Synesthetes|音乐与颜色关联数据集|情感影响数据集

收藏
Mendeley Data2024-06-27 更新2024-06-28 收录
音乐与颜色关联
情感影响
下载链接:
https://brill.figshare.com/articles/dataset/Music_to_Color_Associations_of_Single_line_Piano_Melodies_in_Non_Synesthetes/1355942/3
下载链接
链接失效反馈
资源简介:
Prior research has shown that non-synesthetes’ color associations to classical orchestral music are strongly mediated by emotion. The present study examines similar cross-modal music-to-color associations for much better controlled musical stimuli: 64 single-line piano melodies that were generated from four basic melodies by Mozart, whose global musical parameters were manipulated in tempo (slow/fast), note-density (sparse/dense), mode (major/minor) and pitch-height (low/high). Participants first chose the three colors (from 37) that they judged to be most consistent with (and, later, the three that were most inconsistent with) the music they were hearing. They later rated each melody and each color for the strength of its association along four emotional dimensions: happy/sad, agitated/calm, angry/not-angry and strong/weak. The cross-modal choices showed that faster music in the major mode was associated with lighter, more saturated, yellower (warmer) colors than slower music in the minor mode. These results replicate and extend those of Palmer et al. (2013, Proc. Natl. Acad. Sci. 110, 8836–8841) with more precisely controlled musical stimuli. Further results replicated strong evidence for emotional mediation of these cross-modal associations, in that the emotional ratings of the melodies were very highly correlated with the emotional associations of the colors chosen as going best/worst with the melodies (r = 0.92, 0.85, 0.82 and 0.70 for happy/sad, strong/weak, angry/not-angry and agitated/calm, respectively). The results are discussed in terms of common emotional associations forming a cross-modal bridge between highly disparate sensory inputs.
创建时间:
2023-06-28
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4098个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

中国食物成分数据库

食物成分数据比较准确而详细地描述农作物、水产类、畜禽肉类等人类赖以生存的基本食物的品质和营养成分含量。它是一个重要的我国公共卫生数据和营养信息资源,是提供人类基本需求和基本社会保障的先决条件;也是一个国家制定相关法规标准、实施有关营养政策、开展食品贸易和进行营养健康教育的基础,兼具学术、经济、社会等多种价值。 本数据集收录了基于2002年食物成分表的1506条食物的31项营养成分(含胆固醇)数据,657条食物的18种氨基酸数据、441条食物的32种脂肪酸数据、130条食物的碘数据、114条食物的大豆异黄酮数据。

国家人口健康科学数据中心 收录

Materials Project

材料项目是一组标有不同属性的化合物。数据集链接: MP 2018.6.1(69,239 个材料) MP 2019.4.1(133,420 个材料)

OpenDataLab 收录

RADIOML 2016.10A

一个合成数据集,使用GNU Radio生成,包含11种调制方式(8种数字和3种模拟),信号噪声比各异。该数据集首次在第六届年度GNU Radio会议上发布。

github 收录

Beijing Traffic

The Beijing Traffic Dataset collects traffic speeds at 5-minute granularity for 3126 roadway segments in Beijing between 2022/05/12 and 2022/07/25.

Papers with Code 收录

Breast Cancer Dataset

该项目专注于清理和转换一个乳腺癌数据集,该数据集最初由卢布尔雅那大学医学中心肿瘤研究所获得。目标是通过应用各种数据转换技术(如分类、编码和二值化)来创建一个可以由数据科学团队用于未来分析的精炼数据集。

github 收录