{"action":"created","issue":{"url":"https://api.github.com/repos/nilearn/nilearn/issues/915","repository_url":"https://api.github.com/repos/nilearn/nilearn","labels_url":"https://api.github.com/repos/nilearn/nilearn/issues/915/labels{/name}","comments_url":"https://api.github.com/repos/nilearn/nilearn/issues/915/comments","events_url":"https://api.github.com/repos/nilearn/nilearn/issues/915/events","html_url":"https://github.com/nilearn/nilearn/issues/915","id":122489013,"number":915,"title":"Downloader for COBRE","user":{"login":"GaelVaroquaux","id":208217,"avatar_url":"https://avatars.githubusercontent.com/u/208217?v=3","gravatar_id":"","url":"https://api.github.com/users/GaelVaroquaux","html_url":"https://github.com/GaelVaroquaux","followers_url":"https://api.github.com/users/GaelVaroquaux/followers","following_url":"https://api.github.com/users/GaelVaroquaux/following{/other_user}","gists_url":"https://api.github.com/users/GaelVaroquaux/gists{/gist_id}","starred_url":"https://api.github.com/users/GaelVaroquaux/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/GaelVaroquaux/subscriptions","organizations_url":"https://api.github.com/users/GaelVaroquaux/orgs","repos_url":"https://api.github.com/users/GaelVaroquaux/repos","events_url":"https://api.github.com/users/GaelVaroquaux/events{/privacy}","received_events_url":"https://api.github.com/users/GaelVaroquaux/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/nilearn/nilearn/labels/Datasets","name":"Datasets","color":"fad8c7"},{"url":"https://api.github.com/repos/nilearn/nilearn/labels/Easy","name":"Easy","color":"c7def8"},{"url":"https://api.github.com/repos/nilearn/nilearn/labels/Enhancement","name":"Enhancement","color":"fbca04"}],"state":"open","locked":false,"assignee":null,"milestone":{"url":"https://api.github.com/repos/nilearn/nilearn/milestones/15","html_url":"https://github.com/nilearn/nilearn/milestones/0.2.3","labels_url":"https://api.github.com/repos/nilearn/nilearn/milestones/15/labels","id":1504791,"number":15,"title":"0.2.3","description":"To be released before Brainhack","creator":{"login":"GaelVaroquaux","id":208217,"avatar_url":"https://avatars.githubusercontent.com/u/208217?v=3","gravatar_id":"","url":"https://api.github.com/users/GaelVaroquaux","html_url":"https://github.com/GaelVaroquaux","followers_url":"https://api.github.com/users/GaelVaroquaux/followers","following_url":"https://api.github.com/users/GaelVaroquaux/following{/other_user}","gists_url":"https://api.github.com/users/GaelVaroquaux/gists{/gist_id}","starred_url":"https://api.github.com/users/GaelVaroquaux/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/GaelVaroquaux/subscriptions","organizations_url":"https://api.github.com/users/GaelVaroquaux/orgs","repos_url":"https://api.github.com/users/GaelVaroquaux/repos","events_url":"https://api.github.com/users/GaelVaroquaux/events{/privacy}","received_events_url":"https://api.github.com/users/GaelVaroquaux/received_events","type":"User","site_admin":false},"open_issues":7,"closed_issues":1,"state":"open","created_at":"2016-01-13T16:29:19Z","updated_at":"2016-02-03T13:22:59Z","due_on":"2016-02-18T23:00:00Z","closed_at":null},"comments":27,"created_at":"2015-12-16T11:58:32Z","updated_at":"2016-02-11T03:50:50Z","closed_at":null,"body":"We should add a downloader for the COBRE dataset:\r\nhttps://figshare.com/articles/COBRE_preprocessed_with_NIAK_0_12_4/1160600\r\n\r\nVia @pbellec, who might be able to answer questions about this data."},"comment":{"url":"https://api.github.com/repos/nilearn/nilearn/issues/comments/182692235","html_url":"https://github.com/nilearn/nilearn/issues/915#issuecomment-182692235","issue_url":"https://api.github.com/repos/nilearn/nilearn/issues/915","id":182692235,"user":{"login":"pbellec","id":1670887,"avatar_url":"https://avatars.githubusercontent.com/u/1670887?v=3","gravatar_id":"","url":"https://api.github.com/users/pbellec","html_url":"https://github.com/pbellec","followers_url":"https://api.github.com/users/pbellec/followers","following_url":"https://api.github.com/users/pbellec/following{/other_user}","gists_url":"https://api.github.com/users/pbellec/gists{/gist_id}","starred_url":"https://api.github.com/users/pbellec/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pbellec/subscriptions","organizations_url":"https://api.github.com/users/pbellec/orgs","repos_url":"https://api.github.com/users/pbellec/repos","events_url":"https://api.github.com/users/pbellec/events{/privacy}","received_events_url":"https://api.github.com/users/pbellec/received_events","type":"User","site_admin":false},"created_at":"2016-02-11T03:50:50Z","updated_at":"2016-02-11T03:50:50Z","body":"Not sure how much of a problem this is. Definitely not suitable for a quick tutorial, but this resource opens up possibilities for real data exploration. Would seem reasonable to have an option to download only a portion of the data. Another work-around would be to get time series on, say, 1000 or 3000 brain parcels. @GaelVaroquaux did not seem too keen on this option last time we talked. One last option would be to stick with 4D datasets but go down to a 4 or even 5 mm isotropic resolution. "}}