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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 2,261 to 2,280.First110111112113114115116117Last
Id Label Status Status Modified Notation
DE1316301 Godelniederung / Föhr Quick edit Valid 2018-01-19 DE1316301
DE1319301 NSG Bordelumer Heide und Langenhorner Heide mit Umgebung Quick edit Valid 2018-01-19 DE1319301
DE1320302 Lütjenholmer und Bargumer Heide Quick edit Valid 2018-01-19 DE1320302
DE1320303 Schirlbusch Quick edit Valid 2018-01-19 DE1320303
DE1320304 Löwenstedter Sandberge Quick edit Valid 2018-01-19 DE1320304
DE1321302 Pobüller Bauernwald Quick edit Valid 2018-01-19 DE1321302
DE1321303 Dünen am Rimmelsberg Quick edit Valid 2018-01-19 DE1321303
DE1322391 Treene Winderatter See bis Friedrichstadt und Bollingstedter Au Quick edit Valid 2018-01-19 DE1322391
DE1322392 Wald-, Moor- und Heidelandschaft der Fröruper Berge und Umgebung Quick edit Valid 2018-01-19 DE1322392
DE1323301 NSG Hechtmoor Quick edit Valid 2018-01-19 DE1323301
DE1323355 Rehbergholz und Schwennholz Quick edit Valid 2018-01-19 DE1323355
DE1324391 Wellspanger-Loiter-Oxbek-System und angrenzende Wälder Quick edit Valid 2018-01-19 DE1324391
DE1325356 Drülter Holz Quick edit Valid 2018-01-19 DE1325356
DE1326301 NSG Schwansener See Quick edit Valid 2018-01-19 DE1326301
DE1332301 Fehmarnbelt Quick edit Valid 2018-01-19 DE1332301
DE1339301 Kadetrinne Quick edit Valid 2018-01-19 DE1339301
DE1343301 Plantagenetgrund Quick edit Valid 2018-01-19 DE1343301
DE1343401 Plantagenetgrund Quick edit Valid 2018-01-19 DE1343401
DE1345301 Erweiterung Libben, Steilküste und Blockgründe Wittow und Arkona Quick edit Valid 2018-01-19 DE1345301
DE1346301 Steilküste und Blockgründe Wittow Quick edit Valid 2018-01-19 DE1346301
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?