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

------------------------------------------
Aaron Finke
Staff Scientist, MacCHESS
Cornell University
e-mail: [email protected]<mailto:[email protected]>

On Jan 18, 2019, at 11:16 AM, Herbert J. Bernstein 
<[email protected]<mailto:[email protected]>> 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 
<[email protected]<mailto:[email protected]>> 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 
<[email protected]<mailto:[email protected]>> 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: [email protected]<mailto:[email protected]>


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