Difference between revisions of "Documentation/Nightly/Modules/DataStore"
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− | ==Download a | + | ==Download a dataset== |
<gallery widths="200px" perrow="4"> | <gallery widths="200px" perrow="4"> | ||
Image:DownloadFile 1.jpg|The Data Store module appears under the Utilities category. | Image:DownloadFile 1.jpg|The Data Store module appears under the Utilities category. | ||
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− | + | ==Upload a dataset== | |
− | ==Upload a | ||
<gallery widths="200px" perrow="4"> | <gallery widths="200px" perrow="4"> | ||
Image:UploadFile_1.jpg|The module allows an user to upload the current opened dataset. To upload it, click on "Display Datastore" | Image:UploadFile_1.jpg|The module allows an user to upload the current opened dataset. To upload it, click on "Display Datastore" | ||
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Image:UploadFile_4.jpg|The upload is complete. | Image:UploadFile_4.jpg|The upload is complete. | ||
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+ | ==Delete an uploaded dataset on the remote database== | ||
+ | <gallery widths="200px" perrow="4"> | ||
+ | File:DeleteRemote_1.jpg|Go to the dataset"s page (see Download a dataset use case)". | ||
+ | File:DeleteRemote_2.jpg|Authenticate using one of the "login" link | ||
+ | File:DeleteRemote_3.jpg|Click on "Delete the dataset" | ||
+ | </gallery> | ||
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Revision as of 16:18, 2 August 2013
Home < Documentation < Nightly < Modules < DataStore
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
Author: Charles Marion, Jean-Baptiste Berger and Jean-Christophe Fillion-Robin (Kitware)
Contact: Charles Marion, <email>charles.marion@kitware.com</email>
Project website: http://slicer.kitware.com/midas3/slicerdatastore
License: Slicer license
The Slicer Data Store is hosted by Kitware using Midas Platform. The Data Store Catalog can also be accessed via your web browser here.
This work was supported by NIH Grant 3P41RR013218-12S1, NA-MIC, NAC, and the Slicer community.
Extension Description
The Data Store extension allows an user to easily upload and download dataset files.
Highlights:
- Browse and search datasets in a remote databae
- Download, Review and comment the datasets
- Upload new datasets
Use Cases
Download a dataset
Delete or load a cached file
When you download a file from the remote database, the module will keep of a copy of the dataset.