Hi everyone,
In my recent paper, as a first co-author I explored data transferability (subject transferability and task transferability) in sEMG hand gesture classification using Deep Learning algorithms such as CNN and few-shot learning and Transfer Learning. We have made our dataset publicly available using a link to my google drive. I was wondering if there is any well-known online repositories for EMG datasets or electrophysiological signal datasets that I could use to upload our Nearlab dataset?
Thanks
Hi
My suggestion is to release your dataset in your lab's GitHub repository + kaggle and release a data paper as a preprint.
I have some experience in this field if you need more information feel free to send me an email.
Take a look at these links:
https://github.com/ECSIM/dbfc-dataset
https://github.com/ECSIM/pem-dataset1
Best Regards
SH
The best way to publish and share research data is with a research data repository. A repository is an online database that allows research data to be preserved across time and helps others find it.
Apart from archiving research data, a repository will assign a DOI to each uploaded object and provide a web page that tells what it is, how to cite it and how many times other researchers have cited or downloaded that object.
Data repositories
1.Figshare
2.Mendeley data
3.Dryad
4.Zenoda
5.Hardvard Dataverse
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