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This is what Zenodo emailed me: "By default, we provide a one-time quota increase up to 100GB for a dataset that will be cited from a peer-reviewed article. Zenodo is a free-to-use service, an in order to keep it this way, we have to restrict the incoming data volume rate as very large datasets contribute significantly to the overall data volume in Zenodo. Unfortunately, at this point, we also cannot receive payment for quota increases, though we do hope that this will be possible in the future, at which point we will announce this possibility.”

I suppose I could split the dataset over multiple DOIs but it feels like “cheating the system” a bit. The CXIDB sounds promising, though!

Thanks,
Aaron

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Aaron Finke
Staff Scientist, MacCHESS
Cornell University
e-mail: [log in to unmask]<mailto:[log in to unmask]>

On Jan 18, 2019, at 11:16 AM, Herbert J. Bernstein <[log in to unmask]<mailto:[log in to unmask]>> wrote:

The zenodo policies seem to the most workable as a start.  I would suggest contacting them for the cases that go over 50GB, but at worst splitting into 50GB chunks.  -- Herbert

On Fri, Jan 18, 2019 at 10:49 AM Andreas Förster <[log in to unmask]<mailto:[log in to unmask]>> wrote:
Hi Aaron,

can you slice your data and then link to the bits?

We're currently trying to find out what "unlimited Google Drive storage" means by uploading pi in chunks of 70 GB or so.

All best.


Andreas



On Fri, Jan 18, 2019 at 4:31 PM Aaron Finke <[log in to unmask]<mailto:[log in to unmask]>> wrote:
Dear CCP4ites,

Is anyone aware of online repositories that will store huge sets of raw data (>100 GB)? I’m aware of Zenodo and SBGrid, but Zenodo’s limit is typically 50 GB and their absolute limit is 100 GB. SBGrid has yet to respond to my emails.

I could host them myself, but the involuntary dry heaving response I got when I brought up the idea to our IT department implied they were less enthused with the idea than I was. So a cloud service would be far more preferable as a long term solution.

Thanks,
Aaron

------------------------------------------
Aaron Finke
Staff Scientist, MacCHESS
Cornell University
e-mail: [log in to unmask]<mailto:[log in to unmask]>


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