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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 2,781 to 2,800.First136137138139140141142143Last
Id Label Status Status Modified Notation
DE2448302 Wald- und Kleingewässerlandschaft Brohmer Berge Quick edit Valid 2018-01-19 DE2448302
DE2448303 Strasburg, Eiskeller Quick edit Valid 2018-01-19 DE2448303
DE2448374 Straßburger Mühlenbach - Beeke (Oberlauf und Mündung, MV) Quick edit Valid 2018-01-19 DE2448374
DE2448401 Brohmer Berge Quick edit Valid 2018-01-19 DE2448401
DE2450301 Koblentzer See und Zerrenthiner Wiesen Quick edit Valid 2018-01-19 DE2450301
DE2450302 Eichenwälder bei Viereck Quick edit Valid 2018-01-19 DE2450302
DE2450402 Koblentzer See Quick edit Valid 2018-01-19 DE2450402
DE2451301 Gottesheide mit Schloß- und Lenzener See Quick edit Valid 2018-01-19 DE2451301
DE2451302 Latzigsee bei Borken Quick edit Valid 2018-01-19 DE2451302
DE2507301 Hund und Paapsand Quick edit Valid 2018-01-19 DE2507301
DE2507331 Unterems und Außenems Quick edit Valid 2018-01-19 DE2507331
DE2508401 Krummhörn Quick edit Valid 2018-01-19 DE2508401
DE2509331 Großes Meer, Loppersumer Meer Quick edit Valid 2018-01-19 DE2509331
DE2509401 Ostfriesische Meere Quick edit Valid 2018-01-19 DE2509401
DE2510331 Ihlower Forst Quick edit Valid 2018-01-19 DE2510331
DE2511331 Fehntjer Tief und Umgebung Quick edit Valid 2018-01-19 DE2511331
DE2511332 Kollrunger Moor und Klinge Quick edit Valid 2018-01-19 DE2511332
DE2513301 Schwarzes Meer Quick edit Valid 2018-01-19 DE2513301
DE2513331 Neuenburger Holz Quick edit Valid 2018-01-19 DE2513331
DE2514431 Marschen am Jadebusen Quick edit Valid 2018-01-19 DE2514431
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?