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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 3,041 to 3,060.First149150151152153154155156Last
Id Label Status Status Modified Notation
DE2819402 Borgfelder Wümmewiesen Quick edit Valid 2018-01-19 DE2819402
DE2820301 Wiestetal, Glindbusch, Borchelsmoor Quick edit Valid 2018-01-19 DE2820301
DE2820402 Wümmewiesen bei Fischerhude Quick edit Valid 2018-01-19 DE2820402
DE2822331 Stellmoor und Weichel Quick edit Valid 2018-01-19 DE2822331
DE2824331 Schwarzes Moor und Seemoor Quick edit Valid 2018-01-19 DE2824331
DE2824332 Sandmagerrasen Camp Reinsehlen Quick edit Deprecated 2023-01-26 DE2824332
DE2830331 Buchen- und Eichenwälder in der Göhrde (mit Breeser Grund) Quick edit Valid 2018-01-19 DE2830331
DE2830332 Rotbauchunken-Vorkommen Strothe/Almstorf Quick edit Valid 2018-01-19 DE2830332
DE2832331 Gewässersystem der Jeetzel mit Quellwäldern Quick edit Valid 2018-01-19 DE2832331
DE2832401 Niedersächsische Mittelelbe Quick edit Valid 2018-01-19 DE2832401
DE2833301 Werder Besandten Quick edit Valid 2018-01-19 DE2833301
DE2833302 Untere Rhinowwiesen Quick edit Valid 2018-01-19 DE2833302
DE2833306 Elbtallandschaft und Löcknitzniederung bei Dömitz Quick edit Valid 2018-01-19 DE2833306
DE2833307 Festung Dömitz Quick edit Valid 2018-01-19 DE2833307
DE2834301 Untere Löcknitzniederung Quick edit Valid 2018-01-19 DE2834301
DE2834303 Karenzer und Kalißer Heide Quick edit Valid 2018-01-19 DE2834303
DE2835301 Rambower Moor Quick edit Valid 2018-01-19 DE2835301
DE2835302 Nausdorfer Moor Quick edit Valid 2018-01-19 DE2835302
DE2835303 Meynbach bei Krinitz Quick edit Valid 2018-01-19 DE2835303
DE2836301 Mittlere und Obere Löcknitz Quick edit Valid 2018-01-19 DE2836301
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?