遇见数据集

Moral judgments of intentional and accidental moral violations across Harm and Purity domains

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OpenNeuro2018-03-14 更新2026-03-14 收录
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Description: This dataset contains data on two tasks: - dis: moral judgments on a 1-4 scale of moral-violation scenarios - Scenario breakdown: - Items 1-12: Physical harms (e.g., stabbing) - Items 13-24: Psychological harms (e.g., insults) - Items 25-36: Incest violations (e.g., sleeping with a sibling) - Items 37-48: Pathogen violations (e.g., drinking human blood) - Items 49-60: Neutral scenarios - Condition labels: - A_PHA: Accidental physical harms - B_PSA: Accidental psychological harms - C_IA: Accidental incest violations - D_PA: Accidental pathogen violations - E_NA: Accidental neutral scenarios - F_PHI: Intentional physical harms - G_PSI: Intentional psychological harms - H_II: Intentional incest violations - I_PI: Intentional pathogen violations - J_NI: Intentional neutral scenarios - tom/tomloc/fb: Theory of Mind (ToM) localizer task, including false-belief and false-photo trials (Saxe & Kanwisher, 2003). Participants: Participants include neurotypical (NT) participants and participants with Autism Spectrum Disorder (ASD). Data collection: All data was collected in 2011 at the Massachusetts Institute of Technology. Papers containing analyses from this data: - Chakroff et al. (2016). When minds matter for moral judgment: intent information is neurally encoded for harmful but not impure acts. Social Cognitive & Affective Neuroscience. doi: 10.1093/scan/nsv131 - Koster-Hale et al. (2013). Decoding moral judgments from neural representations of intentions. Proceedings of the National Academy of Sciences. doi: 10.1073/pnas.1207992110 - Wasserman et al. (in prep). Illuminating the conceptual structure of the space of moral violations with searchlight representational similarity analysis. ### Comments added by Openfmri Curators ### =========================================== Note: As per submitter "tom, tomloc, and fb are all essentially the same task: a Theory of Mind localizer task. I retained the different names so that, if for some reason we ever had to go back to the experiment scripts, we would have a clear record of which particular script was used for each participant." Before 7/2017 contact Emily Wasserman (emily.wasserman@bc.edu). To contact submitter you can email to liane.young@bc.edu (after 7/2017). Defacing -------- Pydeface was used on all anatomical images to ensure deindentification of subjects. The code can be found at https://github.com/poldracklab/pydeface Quality Control --------------- Mriqc was run on the dataset. Results are located in derivatives/mriqc. The code can be found at https://github.com/poldracklab/mriqc Where to discuss the dataset ---------------------------- 1) www.openfmri.org/dataset/ds******/ See the comments section at the bottom of the dataset page. 2) www.neurostars.org Please tag any discussion topics with the tags openfmri and dsXXXXXX accession number. 3) Send an email to submissions@openfmri.org. Please include the dsXXXXXX accession number in your email. Known Issues ------------ BIDS validator throws following warnings. 1) Not all subjects contain the same files. Each subject should contain the same number of files with the same naming unless some files are known to be missing. (code: 38 - INCONSISTENT_SUBJECTS). This is beacuse of same runs in all subjects but named differently as 'task-tom', 'task-tomloc', 'task-fb'. Even though they are same runs they are named diffenetlt for oragnizationl reason explained in above sections. 2) Not all subjects/sessions/runs have the same scanning parameters. (code: 39 - INCONSISTENT_PARAMETERS) /sub-03/func/sub-03_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-03/func/sub-03_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-03/func/sub-03_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-03/func/sub-03_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-04/func/sub-04_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-04/func/sub-04_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-04/func/sub-04_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-04/func/sub-04_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-05/func/sub-05_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-05/func/sub-05_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-05/func/sub-05_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-05/func/sub-05_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-06/func/sub-06_task-dis_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,166 (voxels), This file has the dimensions: 64,56,30,166 (voxels). /sub-06/func/sub-06_task-dis_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,166 (voxels), This file has the dimensions: 64,56,30,166 (voxels). /sub-06/func/sub-06_task-dis_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,166 (voxels), This file has the dimensions: 64,56,30,166 (voxels). /sub-06/func/sub-06_task-dis_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,166 (voxels), This file has the dimensions: 64,56,30,166 (voxels). /sub-06/func/sub-06_task-dis_run-05_bold.nii.gz The most common set of dimensions is: 64,64,30,166 (voxels), This file has the dimensions: 64,56,30,166 (voxels). /sub-06/func/sub-06_task-dis_run-06_bold.nii.gz The most common set of dimensions is: 64,64,30,166 (voxels), This file has the dimensions: 64,56,30,166 (voxels). /sub-06/func/sub-06_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,56,30,136 (voxels). /sub-06/func/sub-06_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,56,30,136 (voxels). /sub-06/func/sub-06_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,56,30,136 (voxels). /sub-06/func/sub-06_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,56,30,136 (voxels). /sub-07/func/sub-07_task-dis_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,166 (voxels), This file has the dimensions: 64,64,30,22 (voxels). /sub-07/func/sub-07_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-07/func/sub-07_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-07/func/sub-07_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-07/func/sub-07_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-08/func/sub-08_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-08/func/sub-08_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-08/func/sub-08_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-08/func/sub-08_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-09/func/sub-09_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-09/func/sub-09_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-09/func/sub-09_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-09/func/sub-09_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-10/func/sub-10_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-10/func/sub-10_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-10/func/sub-10_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-10/func/sub-10_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-11/func/sub-11_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-11/func/sub-11_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-11/func/sub-11_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-11/func/sub-11_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-12/func/sub-12_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-12/func/sub-12_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-12/func/sub-12_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-12/func/sub-12_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-13/func/sub-13_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-13/func/sub-13_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-13/func/sub-13_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-13/func/sub-13_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-14/func/sub-14_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-14/func/sub-14_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-14/func/sub-14_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-14/func/sub-14_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-15/func/sub-15_task-fb_run-01_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-15/func/sub-15_task-fb_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-15/func/sub-15_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-15/func/sub-15_task-fb_run-04_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,136 (voxels). /sub-17/func/sub-17_task-dis_run-02_bold.nii.gz The most common set of dimensions is: 64,64,30,166 (voxels), This file has the dimensions: 64,64,30,67 (voxels). /sub-32/func/sub-32_task-fb_run-03_bold.nii.gz The most common set of dimensions is: 64,64,30,110 (voxels), This file has the dimensions: 64,64,30,17 (voxels).

创建时间:
2018-03-14
搜集汇总
数据集介绍
Moral judgments of intentional and accidental moral violations across Harm and Purity domains 数据集图片
背景与挑战
背景概述
该数据集是一个MRI数据集,专注于研究道德判断,特别是针对故意和意外道德违规行为在伤害和纯洁领域的差异。数据集包含道德判断评分任务和心理理论定位任务,参与者包括神经典型和自闭症谱系障碍个体,数据收集于2011年麻省理工学院,并已用于多篇学术论文分析。
以上内容由遇见数据集搜集并总结生成
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