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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 2,641 to 2,660.First129130131132133134135136Last
Id Label Status Status Modified Notation
DE2243301 Wald nördlich von Basepohl Quick edit Valid 2018-01-19 DE2243301
DE2243302 Ivenacker Tiergarten, Stavenhagener Stadtholz und Umgebung Quick edit Valid 2018-01-19 DE2243302
DE2243401 Wald bei Grammentin Quick edit Valid 2018-01-19 DE2243401
DE2244301 Gützkower Wald und anschließende Kleingewässer Quick edit Valid 2018-01-19 DE2244301
DE2244302 Kleingewässerlandschaft bei Gültz (nördlich Altentreptow) Quick edit Valid 2018-01-19 DE2244302
DE2245302 Tollensetal mit Zuflüssen Quick edit Valid 2018-01-19 DE2245302
DE2246301 Talmoorkomplex des Kleinen Landgrabens bei Werder Quick edit Valid 2018-01-19 DE2246301
DE2247301 Trockenhänge und Hangquellmoor bei Rebelow (Großes Landgrabental) Quick edit Valid 2018-01-19 DE2247301
DE2247302 Wasserburg Spantekow Quick edit Valid 2018-01-19 DE2247302
DE2247303 Kleingewässer westlich Boldekow bei Rubenow (OVP) Quick edit Valid 2018-01-19 DE2247303
DE2248301 Putzarer See Quick edit Valid 2018-01-19 DE2248301
DE2250471 Kleines Haff, Neuwarper See und Riether Werder Quick edit Valid 2018-01-19 DE2250471
DE2251301 Altwarper Binnendünen, Neuwarper See und Riether Werder Quick edit Valid 2018-01-19 DE2251301
DE2251403 Binnendünen und Wälder bei Altwarp Quick edit Valid 2018-01-19 DE2251403
DE2306301 Nationalpark Niedersächsisches Wattenmeer Quick edit Valid 2018-01-19 DE2306301
DE2309431 Ostfriesische Seemarsch zwischen Norden und Esens Quick edit Valid 2018-01-19 DE2309431
DE2311331 Ochsenweide, Schafhauser Wald und Feuchtwiesen bei Esens Quick edit Valid 2018-01-19 DE2311331
DE2312331 Teichfledermaus-Habitate im Raum Wilhelmshaven Quick edit Valid 2018-01-19 DE2312331
DE2314431 Voslapper Groden-Nord Quick edit Valid 2018-01-19 DE2314431
DE2316331 Unterweser Quick edit Valid 2018-01-19 DE2316331
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?