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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 2,861 to 2,880.First140141142143144145146147Last
Id Label Status Status Modified Notation
DE2546301 Schlavenkensee Quick edit Valid 2018-01-19 DE2546301
DE2547301 Damerower Wald - Schlepkower Wald - Jagenbruch Quick edit Valid 2018-01-19 DE2547301
DE2547302 Wald- und Kleingewässerlandschaft Hinrichshagen - Wrechen Quick edit Valid 2018-01-19 DE2547302
DE2547303 Jagenbruch und Kleingewässerlandschaft bei Hildebrandshagen (MV) Quick edit Valid 2018-01-19 DE2547303
DE2547374 Wald- und Kleingewässerlandschaft Helpter Berge Quick edit Valid 2018-01-19 DE2547374
DE2547471 Feldberger Seenlandschaft und Teile des Woldegker Hügellands Quick edit Valid 2018-01-19 DE2547471
DE2548301 Daberkower Heide Quick edit Valid 2018-01-19 DE2548301
DE2549301 Eiskellerberge - Os bei Malchow Quick edit Valid 2018-01-19 DE2549301
DE2549302 Köhntoptal Quick edit Valid 2018-01-19 DE2549302
DE2549303 Schanzberge bei Brietzig Quick edit Valid 2018-01-19 DE2549303
DE2549304 Mühlbach Beeke Quick edit Valid 2018-01-19 DE2549304
DE2549305 Malchower Os (MV) Quick edit Valid 2018-01-19 DE2549305
DE2549471 Mittleres Ueckertal Quick edit Valid 2018-01-19 DE2549471
DE2550301 Caselower Heide Quick edit Valid 2018-01-19 DE2550301
DE2550401 Caselower Heide Quick edit Valid 2018-01-19 DE2550401
DE2551301 Großer Kutzowsee bei Bismark Quick edit Valid 2018-01-19 DE2551301
DE2551302 Randowhänge beim Burgwall Löcknitz Quick edit Valid 2018-01-19 DE2551302
DE2551373 Kiesbergwiesen bei Bergholz (südlich Löcknitz) Quick edit Valid 2018-01-19 DE2551373
DE2551374 Wald nordöstlich von Löcknitz Quick edit Valid 2018-01-19 DE2551374
DE2609401 Emsmarsch von Leer bis Emden Quick edit Valid 2018-01-19 DE2609401
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?