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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 3,181 to 3,200.First156157158159160161162163Last
Id Label Status Status Modified Notation
DE2947303 Reiersdorf Quick edit Valid 2018-01-19 DE2947303
DE2947304 Lübbesee Quick edit Valid 2018-01-19 DE2947304
DE2947305 Polsensee Quick edit Valid 2018-01-19 DE2947305
DE2947306 Vietmannsdorfer Heide Quick edit Valid 2018-01-19 DE2947306
DE2948302 Endmoränenlandschaft bei Ringenwalde Quick edit Valid 2018-01-19 DE2948302
DE2948303 Krinertseen Quick edit Valid 2018-01-19 DE2948303
DE2948304 Poratzer Moränenlandschaft Quick edit Valid 2018-01-19 DE2948304
DE2948305 Winkel Quick edit Valid 2018-01-19 DE2948305
DE2948306 Fledermausquartier Eiskeller Glambeck Quick edit Valid 2018-01-19 DE2948306
DE2948401 Schorfheide-Chorin Quick edit Valid 2018-01-19 DE2948401
DE2949301 Fischteiche Blumberger Mühle Quick edit Valid 2018-01-19 DE2949301
DE2949302 Grumsiner Forst/Redernswalde Quick edit Valid 2018-01-19 DE2949302
DE2949303 Sernitz-Niederung und Trockenrasen Quick edit Valid 2018-01-19 DE2949303
DE2950301 Breitenteichsche Mühle Quick edit Valid 2018-01-19 DE2950301
DE2950302 Felchowseegebiet Quick edit Valid 2018-01-19 DE2950302
DE2950303 Pinnow Quick edit Valid 2018-01-19 DE2950303
DE2950304 Ostufer Mudrowsee Quick edit Valid 2018-01-19 DE2950304
DE2950305 Trockenrasen Schildberge Quick edit Valid 2018-01-19 DE2950305
DE2951302 Unteres Odertal Quick edit Valid 2018-01-19 DE2951302
DE2951401 Unteres Odertal Quick edit Valid 2018-01-19 DE2951401
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?