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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 3,401 to 3,420.First167168169170171172173174Last
Id Label Status Status Modified Notation
DE3334301 Secantsgraben, Milde und Biese Quick edit Valid 2018-01-19 DE3334301
DE3334401 Milde-Niederung/Altmark Quick edit Valid 2018-01-19 DE3334401
DE3337301 Schießplatz Bindfelde östlich Stendal Quick edit Valid 2018-01-19 DE3337301
DE3337302 Stendaler Stadtforst Quick edit Valid 2018-01-19 DE3337302
DE3338301 Binnendüne bei Scharlibbe Quick edit Valid 2018-01-19 DE3338301
DE3338302 Klietzer Heide Quick edit Valid 2018-01-19 DE3338302
DE3338401 Vogelschutzgebiet Klietzer Heide Quick edit Valid 2018-01-19 DE3338401
DE3339301 Niederung der Unteren Havel/Gülper See Quick edit Valid 2018-01-19 DE3339301
DE3339303 Buckow-Steckelsdorf-Göttlin Quick edit Valid 2018-01-19 DE3339303
DE3339304 Klietzer Heide Quick edit Valid 2018-01-19 DE3339304
DE3339402 Niederung der Unteren Havel Quick edit Valid 2018-01-19 DE3339402
DE3340302 Rodewaldsches Luch Quick edit Valid 2018-01-19 DE3340302
DE3340303 Hundewiesen Quick edit Valid 2018-01-19 DE3340303
DE3341301 Mühlenberg Nennhausen Quick edit Valid 2018-01-19 DE3341301
DE3341302 Teufelsberg oder Rhinsberg bei Landin Quick edit Valid 2018-01-19 DE3341302
DE3341401 U. Rhinluch/Dreetzer See, Havell. Luch und Belziger Landschaftsw. Quick edit Valid 2018-01-19 DE3341401
DE3342301 Paulinenauer Luch Quick edit Valid 2018-01-19 DE3342301
DE3342302 Lindholz Quick edit Valid 2018-01-19 DE3342302
DE3342303 Paulinenauer Luch Ergänzung Quick edit Valid 2018-01-19 DE3342303
DE3343301 Leitsakgraben Quick edit Valid 2018-01-19 DE3343301
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?