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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

28,510 concepts found, displaying 3,721 to 3,740.First183184185186187188189190Last
Id Label Status Status Modified Notation
DE3717301 Limberg Quick edit Valid 2018-01-19 DE3717301
DE3718301 Stollen Oberlübbe, Elfter Kopf Quick edit Valid 2018-01-19 DE3718301
DE3718302 Schloss Ulenburg Quick edit Valid 2018-01-19 DE3718302
DE3719301 Wälder bei Porta Westfalica Quick edit Valid 2018-01-19 DE3719301
DE3719302 Unternammerholz Quick edit Valid 2018-01-19 DE3719302
DE3719331 Unternammer Holz (niedersächsischer Teil) Quick edit Valid 2018-01-19 DE3719331
DE3720301 Süntel, Wesergebirge, Deister Quick edit Valid 2018-01-19 DE3720301
DE3720331 Teufelsbad Quick edit Valid 2018-01-19 DE3720331
DE3720332 Mausohr-Quartiere Wesergebirge Quick edit Valid 2018-01-19 DE3720332
DE3720431 Uhu-Brutplätze im Weserbergland Quick edit Valid 2018-01-19 DE3720431
DE3721331 Amphibienbiotope in den Bückebergen Quick edit Deprecated 2026-05-07 DE3721331
DE3723331 Oberer Feldbergstollen im Deister Quick edit Valid 2018-01-19 DE3723331
DE3724331 Hallerburger Holz Quick edit Valid 2018-01-19 DE3724331
DE3724332 Linderter und Stamstorfer Holz Quick edit Valid 2018-01-19 DE3724332
DE3727331 Klein Lafferder Holz Quick edit Valid 2018-01-19 DE3727331
DE3727401 Lengeder Teiche Quick edit Valid 2018-01-19 DE3727401
DE3729301 Pfeifengras-Wiese bei Schapen, Schapener Forst Quick edit Valid 2018-01-19 DE3729301
DE3729331 Wälder und Kleingewässer zwischen Mascherode und Cremlingen Quick edit Valid 2018-01-19 DE3729331
DE3729332 Riddagshäuser Teiche Quick edit Valid 2018-01-19 DE3729332
DE3730301 Rieseberg Quick edit Valid 2018-01-19 DE3730301
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?