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CLIMATE BRAIN - Questionnaires, Tasks and the Neuroimaging Dataset

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OpenNeuro2024-09-06 更新2026-03-14 收录
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# CLIMATE BRAIN - Questionnaires, Tasks and the Neuroimaging Dataset The CLIMATE BRAIN dataset, is a collection of questionnaire, behavioural, and neuroimaging data related to climate change, acquired from 160 healthy individuals. In particular, it includes data from: * questionnaire measures, including Inventory of Climate Emotions (ICE) * the Reading and Rating Emotional Stories (RRES) neuroimaging task * the Carbon Emission Task (CET) neuroimaging task. The `participants.tsv` file contains the demographic and questionnaire data of each participant. The accompanying `participants.json` sidecar file provides the metadata necessary to understand its content. Additionally, the repository includes subject-wise `*_events.tsv` files, containing behavioural data for each task, along with corresponding `*_events.json` sidecar files that provide metadata necessary to understand their content. The neuroimaging data includes both raw and preprocessed images. Anatomical images have been defaced to protect the anonymity of study participants. The derivatives directory contains the MRIQC and fMRIprep output. * In the case of MRIQC output, we share the summary file `group_bold.tsv`, which contains image quality metrics for all participants. * In the case of fMRIprep output, we share subject-wise data organized in `sub-*` folders with preprocessed functional data, confound time series (allowing for motion and physiological noise correction), individual brain masks for each task and session, as well as accompanying `.json` sidecar files. These derivative files are named in the following convention: * All files related to the RRES task contain the `task-stories` label in the filename. * Additionally, files related to the respective sessions of the RRES task contain a run label: `run-01`, `run-02`, `run-03` in the filename. * All files related to the CET task contain the `task-cet` label in the filename. **Note:** Data from several participants have been flagged as poor quality based on MRIQC metrics, including temporal signal-to-noise ratio (tSNR) and framewise displacement (FD). Additionally, for one participant (`sub-1512a`), a run (`task-stories_run-03`) was identified where technical issues compromised the data acquisition. As a result, **we recommend excluding the following participants** from the analyses: * RRES task: `sub-2112b`, `sub-2911e`, `sub-0712b`, `sub-0712c`, `sub-1512d`, `sub-1512a` * CET task: `sub-2112b`, `sub-2911e`, `sub-0712b`, `sub-0712c`, `sub-1312d`, `sub-3011a`. However, we are making the data from these participants available for other researchers who may wish to apply different exclusion criteria.
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2024-09-06
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