DagsHub-Datasets
/
dandiarchive-dataset


  
1

	
2

	
3

	
4

	
5

	
6

	
7

	
8

	
9

	
10

	
11

	
12

	
13

	
14

	
15

	
16

	
17

	
18

	
19

	
20

	
21

	
22

	
23

	
24

	
25

	
26

	
27

	
28

	
29

	
30

	
31

	
32

	
33

	
34

	
35

	
36

	
37

	
38

	
39

	
40

	
41

	
42

	
43

	
44

	
45

	
46

	
47

	
48

	
49

	
50

	
51

	
52

	
53

	
54

	
55

	
56

	
57

	
58

	
59

	
            <html><head><style>body {
   color: black;
}
</style></head><body><p><img src="https://avatars.githubusercontent.com/u/53260526?s=400&u=9fd82f767e66beeb3959efaf11be707dd4209c96&v=4" width="200px"> </p>
<h1 id="dandi-distributed-archives-for-neurophysiology-data-integration">DANDI: Distributed Archives for Neurophysiology Data Integration</h1>
<p>DANDI is a public archive of neurophysiology datasets, including raw and 
processed data, and associated software containers. Datasets are shared according 
to a Creative Commons CC0 or CC-BY licenses. This US BRAIN Initiative supported 
data archive publishes and shares neurophysiology data including electrophysiology, 
optophysiology, and behavioral time-series, and images from immunostaining 
experiments. </p>
<p>The data uses a set of community standards: </p>
<ul>
<li>NWB: Neurodata Without Borders</li>
<li>BIDS: Brain Imaging Data Structure</li>
<li>NIDM: Neuro Imaging Data Model</li>
<li>NGFF: Next Generation File Format</li>
</ul>
<p>Development of DANDI is supported by the National Institute of Mental Health.</p>
<h2 id="dandisets">Dandisets</h2>
<p>We define a DANDI dataset as a Dandiset. A Dandiset is an organized collection of 
assets (files) with both file level and dataset level metadata generated from an 
experiment or a project.</p>
<h3 id="web-resources">Web resources</h3>
<ul>
<li>Web interface: <a href="https://dandiarchive.org/">https://dandiarchive.org/</a></li>
<li>API: <a href="https://api.dandiarchive.org/swagger/">https://api.dandiarchive.org/swagger/</a></li>
<li>Handbook: <a href="https://handbook.dandiarchive.org">https://handbook.dandiarchive.org</a></li>
<li>Helpdesk: <a href="https://github.com/dandi/helpdesk/issues/new/choose">https://github.com/dandi/helpdesk/issues/new/choose</a></li>
<li>Github: <a href="https://github.com/dandi">https://github.com/dandi</a></li>
<li>S3 Location: s3://dandiarchive/</li>
<li>DANDI Hub (a Jupyterhub instance): <a href="https://hub.dandiarchive.org/">https://hub.dandiarchive.org/</a> (Requires registration via the Web interface)</li>
</ul>
<h3 id="organization-of-the-s3-bucket">Organization of the S3 bucket</h3>
<ul>
<li><strong>blobs</strong> - This key store houses the actual binary data indexed by unique keys. This
is done to provide deduplication when publishing new datasets containing existing
data.</li>
<li><strong>dandisets</strong> - Information about each Dandiset including metadata, a manifest of 
all assets contained in a Dandiset, and asset metadata. This information should
allow anyone to access all the data relevant to a Dandiset </li>
</ul>
<p>Other prefixes in the bucket can be ignored. For example:</p>
<ul>
<li><em>dandiarchive</em> - This folder stores an inventory listing of all items in the bucket. 
This is generated automatically by the S3 Inventory service.</li>
</ul>
<h4 id="keywords-">Keywords:</h4>
<ul>
<li>biology </li>
<li>cell imaging</li>
<li>electrophysiology </li>
<li>infrastructure </li>
<li>life sciences </li>
<li>neuroimaging </li>
<li>neurophysiology </li>
<li>neuroscience</li>
</ul>
</body></html>