five

FAIRsharing record for: Hierarchical Event Descriptors

收藏
DataCite Commons2024-12-06 更新2025-04-15 收录
下载链接:
https://fairsharing.org/10.25504/FAIRsharing.b4929b
下载链接
链接失效反馈
官方服务:
资源简介:
This FAIRsharing record describes: HED (Hierarchical Event Descriptors) is a framework for using a controlled yet extensible vocabulary to systematically describe experiment events of all types (perceptual, action, experiment control, task …). The goals of HED are to enable and support its users to store and share recorded data in a fully analysis-ready format, and to support efficient (and/or extended cross-study) data search and analysis. HED may be used to annotate any type of data – but particularly data acquired in functional brain imaging (EEG, MEG, fNIRS, fMRI), multimodal (aka MoBI, mobile brain/body imaging), psychophysiological (ECG, EMG, GSR), or purely behavioral experiments.
提供机构:
FAIRsharing
创建时间:
2023-05-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作