Datahugger - Where DOI 👐 Data

Datahugger is a tool to download scientific datasets, software, and code from a large number of repositories based on their DOI (wiki) or URL. With Datahugger, you can automate the downloading of data and improve the reproducibility of your research. Datahugger provides a straightforward Python interface as well as an intuitive Command Line Interface (CLI).

Alternatives

Datahugger's main focus is on downloading datasets from arbitrary DOI's. As far as I know, there are no alternatives for downloading datasets from arbitrary DOI's. However, there are many libraries for downloading datasets from a repository right away. Usually they can also be used for uploading data to the repository. Nice examples are:

• https://guides.dataverse.org/en/latest/api/client-libraries.html
• https://pypi.org/project/pyzenodo3/
• https://osfclient.readthedocs.io/en/latest/