Diferencia entre revisiones de «DataStore/en»
(Página creada con «==DataStore Module==») |
(Página creada con «https://www.slicer.org/wiki/Documentation/4.6/Modules/DataStore DataStore (in English)») |
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| (No se muestran 9 ediciones intermedias del mismo usuario) | |||
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==DataStore Module== | ==DataStore Module== | ||
| − | + | This module allows access to data sets, both offline (those stored on the computer) and online (those provided by the Slicer community). | |
| − | + | Accessing it opens a new window, organized in three tabs: | |
==Local datasets== | ==Local datasets== | ||
| − | + | Displays data sets that have been previously downloaded or those that have been generated locally. It is the contents of the Slicer's data folder on the local hard drive. | |
| − | + | For each data set we have the option to load them in the scene with the '''Load''' button or to delete them with the '' 'Delete' '' button. | |
==Download datasets== | ==Download datasets== | ||
| − | + | Used to download data sets made available to the public within the Slicer community. These data are free.(<xr id="fig:ModuleDaStore1" />) | |
| Línea 21: | Línea 21: | ||
</figure> | </figure> | ||
| − | + | The left part of the window is the navigation menu, where the different categories appear and the ways of organizing them; and the right side shows the data sets available according to the filters applied in the navigation menu. When you click on the name or image that illustrates the data set, it takes us to a page with a brief description of it (date of creation, file size, number of downloads, URL); clicking on the '' 'DOWNLOAD' 'button will proceed to the download on the computer (which will then be shown in the' 'Local Datasets'' folder). Data sets are rated by users, 0 to 5 stars. | |
| − | + | When the download is complete, the module window is returned and the data can be loaded. (<xr id = "fig: ModuleDaStore2" />) | |
<figure id="fig:ModuleDaStore2"> | <figure id="fig:ModuleDaStore2"> | ||
| Línea 30: | Línea 30: | ||
| − | ==Upload Datasets== | + | == Upload Datasets == |
| − | + | In order to upload data to the servers it is necessary to be registered as a user. Another advantage of being registered as a user is that it also allows commenting and voting on existing data sets. | |
| − | == | + | ==Documentation in Slicer.org== |
| − | [[https://www.slicer.org/wiki/Documentation/4.6/Modules/DataStore DataStore]] ( | + | [[https://www.slicer.org/wiki/Documentation/4.6/Modules/DataStore DataStore]] (in English) |
Revisión actual del 16:52 17 oct 2017
Contenido
DataStore Module
This module allows access to data sets, both offline (those stored on the computer) and online (those provided by the Slicer community).
Accessing it opens a new window, organized in three tabs:
Local datasets
Displays data sets that have been previously downloaded or those that have been generated locally. It is the contents of the Slicer's data folder on the local hard drive.
For each data set we have the option to load them in the scene with the Load button or to delete them with the 'Delete' button.
Download datasets
Used to download data sets made available to the public within the Slicer community. These data are free.(Figure 1)
The left part of the window is the navigation menu, where the different categories appear and the ways of organizing them; and the right side shows the data sets available according to the filters applied in the navigation menu. When you click on the name or image that illustrates the data set, it takes us to a page with a brief description of it (date of creation, file size, number of downloads, URL); clicking on the 'DOWNLOAD' 'button will proceed to the download on the computer (which will then be shown in the' 'Local Datasets folder). Data sets are rated by users, 0 to 5 stars.
When the download is complete, the module window is returned and the data can be loaded. (???)
Upload Datasets
In order to upload data to the servers it is necessary to be registered as a user. Another advantage of being registered as a user is that it also allows commenting and voting on existing data sets.
Documentation in Slicer.org
[DataStore] (in English)
