SASSCAL PORTAL: Dataset Details
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== Table View vs. Data Entry == | == Table View vs. Data Entry == | ||
| + | All single data entries are stored in tables and can be filtered in multiple ways. | ||
| + | In order to get an overview, all elements of a table view and a data entry are presented here: | ||
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=== Table View === | === Table View === | ||
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| + | [[File: tableview.png|1000px]] | ||
=== Data Entry === | === Data Entry === | ||
| − | == Filtering | + | [[File: dataentry.png|1000px]] |
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| + | == Filtering Table View == | ||
In general, you can filter your table view and refine your search results by following methods: | In general, you can filter your table view and refine your search results by following methods: | ||
Revision as of 09:32, 19 July 2018
Contents |
Table View vs. Data Entry
All single data entries are stored in tables and can be filtered in multiple ways. In order to get an overview, all elements of a table view and a data entry are presented here:
Table View
Data Entry
Filtering Table View
In general, you can filter your table view and refine your search results by following methods:
- Choosing a subdivision from the sheet tabs. Every data category has different subdivisions.
- Using the map, e.g. drawing a bounding box to refine your search results or select an entry directly.
- Using text filter in table header. Note: you can sort column entries by using up- and down arrows:
If there is an All-Dropdown Menu available: Choose a specific attribute via Dropdown button e.g. catchment or country
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Exporting Data Entries
At the end of each list, the options for exporting data from table view are shown. Click on icon to use them:
- Export as CSV
- Export as full CSV (incl. all metadata)
- Export spatial information as shape files
- Create a permanent link storing your search request
- Add/ Remove columns from table view
- → Use + and - to add or remove a column from table view:
Editing Data Entries
Concerning editing data a user login is necessary. If data are editable or not depends on data category and user status.
- Bild von Data View