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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 3,641 to 3,660.First179180181182183184185186Last
Id Label Status Status Modified Notation
DE3627331 Binnensalzstelle Klein Oedesse Quick edit Valid 2018-01-19 DE3627331
DE3627332 Meerdorfer Holz Quick edit Valid 2018-01-19 DE3627332
DE3627401 Wendesser Moor Quick edit Valid 2018-01-19 DE3627401
DE3629301 Eichen-Hainbuchenwälder zwischen Braunschweig und Wolfsburg Quick edit Valid 2018-01-19 DE3629301
DE3630301 Beienroder Holz Quick edit Valid 2018-01-19 DE3630301
DE3630331 Rieseberger Moor Quick edit Valid 2018-01-19 DE3630331
DE3630332 Sundern bei Boimstorf Quick edit Valid 2018-01-19 DE3630332
DE3630401 Laubwälder zwischen Braunschweig und Wolfsburg Quick edit Valid 2018-01-19 DE3630401
DE3631331 Pfeifengras-Wiesen und Binnensalzstelle bei Grasleben Quick edit Valid 2018-01-19 DE3631331
DE3633301 Spetze und Krummbek im Ohre-Aller-Hügelland Quick edit Valid 2018-01-19 DE3633301
DE3633302 Silberkuhle bei Bodendorf Quick edit Valid 2018-01-19 DE3633302
DE3634301 Klüdener Pax-Wanneweh östlich Calvörde Quick edit Valid 2018-01-19 DE3634301
DE3634302 Kirche in Bülstringen Quick edit Valid 2018-01-19 DE3634302
DE3635302 Colbitzer Lindenwald Quick edit Valid 2018-01-19 DE3635302
DE3635401 Vogelschutzgebiet Colbitz-Letzlinger Heide Quick edit Valid 2018-01-19 DE3635401
DE3636302 Erlen-Eschenwald westlich Mahlwinkel Quick edit Valid 2018-01-19 DE3636302
DE3636303 Fledermausquartier Bunker Dornberg Quick edit Valid 2018-01-19 DE3636303
DE3637301 Elbaue bei Bertingen Quick edit Valid 2018-01-19 DE3637301
DE3637302 Bürgerholz bei Burg Quick edit Valid 2018-01-19 DE3637302
DE3638301 Güsener Niederwald Quick edit Valid 2018-01-19 DE3638301
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?