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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 3,501 to 3,520.First172173174175176177178179Last
Id Label Status Status Modified Notation
DE3445305 Fließwiese Ruhleben Quick edit Valid 2018-01-19 DE3445305
DE3447301 Falkenberger Rieselfelder Quick edit Valid 2018-01-19 DE3447301
DE3448301 Langes Elsenfließ und Wegendorfer Mühlenfließ Quick edit Valid 2018-01-19 DE3448301
DE3448302 Fredersdorfer Mühlenfließ, Breites und Krummes Luch Quick edit Valid 2018-01-19 DE3448302
DE3448303 Wiesengrund Quick edit Valid 2018-01-19 DE3448303
DE3449301 Herrensee, Lange-Damm-Wiesen und Barnimhänge Quick edit Valid 2018-01-19 DE3449301
DE3449303 Zimmersee Quick edit Valid 2018-01-19 DE3449303
DE3450301 Klobichsee Quick edit Valid 2018-01-19 DE3450301
DE3450302 Ruhlsdorfer Bruch Quick edit Valid 2018-01-19 DE3450302
DE3450303 Stobbertal Quick edit Valid 2018-01-19 DE3450303
DE3450304 Gumnitz und Großer Schlagenthinsee Quick edit Valid 2018-01-19 DE3450304
DE3450305 Rotes Luch Tiergarten Quick edit Valid 2018-01-19 DE3450305
DE3450306 Tornowseen - Pritzhagener Berge Quick edit Valid 2018-01-19 DE3450306
DE3450307 Schermützelsee Quick edit Valid 2018-01-19 DE3450307
DE3450308 Buckow - Waldsieversdorfer Niederungslandschaft Quick edit Valid 2018-01-19 DE3450308
DE3450309 Müncheberg Quick edit Valid 2018-01-19 DE3450309
DE3450320 Müncheberg Ergänzung Quick edit Valid 2018-01-19 DE3450320
DE3450401 Märkische Schweiz Quick edit Valid 2018-01-19 DE3450401
DE3451301 Gusower Niederheide Quick edit Valid 2018-01-19 DE3451301
DE3452302 Wilder Berg bei Seelow Quick edit Valid 2018-01-19 DE3452302
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?