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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 2,881 to 2,900.First141142143144145146147148Last
Id Label Status Status Modified Notation
DE2611331 Heseler Wald Quick edit Valid 2018-01-19 DE2611331
DE2611401 Fehntjer Tief Quick edit Valid 2018-01-19 DE2611401
DE2613301 Lengener Meer, Stapeler Moor, Baasenmeers-Moor Quick edit Valid 2018-01-19 DE2613301
DE2616331 Dornebbe, Braker Sieltief und Colmarer Tief Quick edit Valid 2018-01-19 DE2616331
DE2617331 Kuhlmoor, Tiefenmoor Quick edit Valid 2018-01-19 DE2617331
DE2617401 Unterweser Quick edit Valid 2018-01-19 DE2617401
DE2619302 Springmoor, Heilsmoor Quick edit Valid 2018-01-19 DE2619302
DE2620301 Huvenhoopssee, Huvenhoopsmoor Quick edit Valid 2018-01-19 DE2620301
DE2626331 Gewässersystem der Luhe und unteren Neetze Quick edit Valid 2018-01-19 DE2626331
DE2627301 Zollenspieker/Kiebitzbrack Quick edit Valid 2018-01-19 DE2627301
DE2627331 Birken-Eichenwald bei Sangenstedt Quick edit Valid 2018-01-19 DE2627331
DE2628331 Ilmenau mit Nebenbächen Quick edit Valid 2018-01-19 DE2628331
DE2628392 Elbe mit Hohem Elbufer von Tesperhude bis Lauenburg mit angr. Fl. Quick edit Valid 2018-01-19 DE2628392
DE2630301 Wiebendorfer Moor Quick edit Valid 2018-01-19 DE2630301
DE2630303 Elbtallandschaft und Sudeniederung bei Boizenburg Quick edit Valid 2018-01-19 DE2630303
DE2632301 Feldgehölze und Wälder im Raum Pritzier Quick edit Valid 2018-01-19 DE2632301
DE2632372 Die Rense Quick edit Valid 2018-01-19 DE2632372
DE2633401 Feldmark Strohkirchen Quick edit Valid 2018-01-19 DE2633401
DE2634301 Schloßpark Ludwigslust Quick edit Valid 2018-01-19 DE2634301
DE2635303 Ludwigsluster-Grabower Heide, Weißes Moor und Griemoor Quick edit Valid 2018-01-19 DE2635303
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?