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Google Dataset search, a great tool for fNIRS and fMRI?

September 6th, 2018

Google just launched a new search engine: Google Dataset search. With this app, scientists can search public datasets published in scientific journals (and possibly other sources). According to Google, “Dataset Search enables users to find datasets stored across thousands of repositories on the Web, making these datasets universally accessible and useful.”

I searched ‘fNIRS’ and it returned 30+ results. See figure below. I clicked the first one, fNIRS/EEG/EOG classification, and it shows some meta information (e.g. the source and authors). Then I clicked the ‘zenodo.org’ website and did see the download link of the MAT file.

google dataset search

google dataset search

I also tried to search ‘fMRI’. The number of datasets for fMRI is much larger than that for fNIRS.

Currently the number of datasets indexed by Google is still limited, but I expect it will grow rapidly and become a very useful tool for scientists and anybody who want to play with data.

Link: Google Dataset search

Author: Xu Cui Categories: nirs, web Tags:
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Stork is a publication alert app developed by us at Stanford. As a researcher we often forget to follow up important publications - and it's practically impossible to search many keywords or researchers' names everyday. Stork can help us to search everyday and notifies us when there are new publications/grants. How Stork helped me?

About the author:

Xu Cui is a human brain research scientist in Stanford University. He lives in the Bay Area in the United States. He is also the founder of Stork (smart publication alert app), PaperBox and BizGenius.


He was born in He'nan province, China. He received education in Beijing University(BS), University of Tennessee (Knoxville) (MS), Baylor College of Medicine (PhD) and Stanford University (PostDoc). Read more ...
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