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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

28,131 concepts found, displaying 2,721 to 2,740.First133134135136137138139140Last
Id Label Status Status Modified Notation
DE2348302 Demnitzer Bruch, Schafhorst und Lübkowsee Quick edit Valid 2018-01-19 DE2348302
DE2349301 Jatznick, Eiskeller Quick edit Valid 2018-01-19 DE2349301
DE2350301 Waldhof, Jägerbrück und Schwarzer See Quick edit Valid 2018-01-19 DE2350301
DE2350302 Alteichen bei Christiansberg Quick edit Valid 2018-01-19 DE2350302
DE2350303 Uecker von Torgelow bis zur Mündung Quick edit Valid 2018-01-19 DE2350303
DE2350304 Wald bei Kuhlmorgen an der Uecker Quick edit Valid 2018-01-19 DE2350304
DE2350401 Ueckermünder Heide Quick edit Valid 2018-01-19 DE2350401
DE2351301 Ahlbecker Seegrund und Eggesiner See Quick edit Valid 2018-01-19 DE2351301
DE2408331 Teichfledermaus-Gewässer im Raum Aurich Quick edit Valid 2018-01-19 DE2408331
DE2408401 Westermarsch Quick edit Valid 2018-01-19 DE2408401
DE2410301 Ewiges Meer, Großes Moor bei Aurich Quick edit Valid 2018-01-19 DE2410301
DE2410401 Ewiges Meer Quick edit Valid 2018-01-19 DE2410401
DE2413331 Upjever und Sumpfmoor Dose Quick edit Valid 2018-01-19 DE2413331
DE2414431 Voslapper Groden-Süd Quick edit Valid 2018-01-19 DE2414431
DE2416431 Butjadingen Quick edit Valid 2018-01-19 DE2416431
DE2417370 Weser bei Bremerhaven Quick edit Valid 2018-01-19 DE2417370
DE2417401 Luneplate Quick edit Valid 2018-01-19 DE2417401
DE2418301 Sellstedter See und Ochsentriftmoor Quick edit Valid 2018-01-19 DE2418301
DE2418331 Niederung von Geeste und Grove Quick edit Valid 2018-01-19 DE2418331
DE2421331 Hohes Moor Quick edit Valid 2018-01-19 DE2421331
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?