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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 3,741 to 3,760.First184185186187188189190191Last
Id Label Status Status Modified Notation
DE3730303 Nordwestlicher Elm Quick edit Valid 2018-01-19 DE3730303
DE3730331 Pfeifengraswiese Wohld Quick edit Valid 2018-01-19 DE3730331
DE3730332 Roter Berg (mit Lenebruch, Heiligenholz und Fünfgemeindeholz) Quick edit Valid 2018-01-19 DE3730332
DE3730333 Lutterlandbruch Quick edit Valid 2018-01-19 DE3730333
DE3731331 Dorm Quick edit Valid 2018-01-19 DE3731331
DE3732301 Lappwald südwestlich Walbeck Quick edit Valid 2018-01-19 DE3732301
DE3732302 Bartenslebener Forst im Aller-Hügelland Quick edit Valid 2018-01-19 DE3732302
DE3732303 Wälder und Pfeifengras-Wiesen im südl. Lappwald Quick edit Valid 2018-01-19 DE3732303
DE3732304 Zisterne Weferlingen Quick edit Valid 2018-01-19 DE3732304
DE3732305 Marienborn Quick edit Valid 2018-01-19 DE3732305
DE3733301 Wälder am Flechtinger Höhenzug Quick edit Valid 2018-01-19 DE3733301
DE3734301 Olbe- und Bebertal südlich Haldensleben Quick edit Valid 2018-01-19 DE3734301
DE3734302 Haldensleben, Fledermausquartier Bornsche Str. 25 Quick edit Valid 2018-01-19 DE3734302
DE3734303 Bebertal bei Hundisburg Quick edit Valid 2018-01-19 DE3734303
DE3735301 Untere Ohre Quick edit Valid 2018-01-19 DE3735301
DE3736301 Elbaue südlich Rogätz mit Ohremündung Quick edit Valid 2018-01-19 DE3736301
DE3737301 Heide südlich Burg Quick edit Valid 2018-01-19 DE3737301
DE3737302 Ihle zwischen Friedensau und Grabow Quick edit Valid 2018-01-19 DE3737302
DE3738301 Ringelsdorfer-, Gloine- und Dreibachsystem im Vorfläming Quick edit Valid 2018-01-19 DE3738301
DE3740301 Riembach Quick edit Valid 2018-01-19 DE3740301
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?