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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 2,741 to 2,760.First134135136137138139140141Last
Id Label Status Status Modified Notation
DE2423301 Feerner Moor Quick edit Valid 2018-01-19 DE2423301
DE2424302 Mühlenberger Loch/Neßsand Quick edit Valid 2018-01-19 DE2424302
DE2424303 Rapfenschutzgebiet Hamburger Stromelbe Quick edit Valid 2018-01-19 DE2424303
DE2424401 Mühlenberger Loch Quick edit Valid 2018-01-19 DE2424401
DE2426301 Boberger Düne und Hangterrassen Quick edit Valid 2018-01-19 DE2426301
DE2426401 Holzhafen Quick edit Valid 2018-01-19 DE2426401
DE2427302 Talwald Hahnenkoppel Quick edit Valid 2018-01-19 DE2427302
DE2427391 Bille Quick edit Valid 2018-01-19 DE2427391
DE2428393 Wälder im Sachsenwald und Schwarze Au Quick edit Valid 2018-01-19 DE2428393
DE2428492 Sachsenwald-Gebiet Quick edit Valid 2018-01-19 DE2428492
DE2429301 Birkenbruch südlich Groß Pampau Quick edit Valid 2018-01-19 DE2429301
DE2429304 Kiefholz Quick edit Valid 2018-01-19 DE2429304
DE2429353 Kleinstmoore bei Hornbek Quick edit Valid 2018-01-19 DE2429353
DE2430302 Rosengartener Moor Quick edit Valid 2018-01-19 DE2430302
DE2430353 Langenlehstener Heide Quick edit Valid 2018-01-19 DE2430353
DE2430391 Seenkette Drüsensee bis Gudower See mit angrenzenden Wäldern u.a. Quick edit Valid 2018-01-19 DE2430391
DE2430392 Talhänge bei Göttin, Grambeker Teiche und Umgebung Quick edit Valid 2018-01-19 DE2430392
DE2431304 Testorfer Wald und Kleingewässerlandschaft Quick edit Valid 2018-01-19 DE2431304
DE2431391 Amphibiengebiet Seedorfer Forst Quick edit Valid 2018-01-19 DE2431391
DE2431392 Hakendorfer Wälder Quick edit Valid 2018-01-19 DE2431392
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?