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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
adms:status Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
01 Oct 2015
dct:isReplacedBy Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
08 Oct 2013
dct:replaces Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
08 Oct 2013
hasFeatureOfInterest Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
08 Feb 2016
hasIdentifierScheme Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
22 Nov 2024
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

440,076 concepts found, displaying 436,401 to 436,420.First21,81721,81821,81921,82021,82121,82221,82321,824Last
Id Label Status Status Modified Notation
euMonitoringSiteCode.UKGBNILLS004 MILL BAY 4 Quick edit Valid - stable 2021-06-17 UKGBNILLS004
euMonitoringSiteCode.UKGBNILLS005 LARNE LOUGH SOUTH 02 Quick edit Valid - stable 2021-06-17 UKGBNILLS005
euMonitoringSiteCode.UKGBNILLS006 MILL BAY 5 Quick edit Valid - stable 2021-06-17 UKGBNILLS006
euMonitoringSiteCode.UKGBNILLS007 LARNE LOUGH SOUTH 03 Quick edit Valid - stable 2021-06-17 UKGBNILLS007
euMonitoringSiteCode.UKGBNILLS008 LARNE LOUGH SOUTH 04 Quick edit Valid - stable 2021-06-17 UKGBNILLS008
euMonitoringSiteCode.UKGBNILLS009 LARNE LOUGH SOUTH 05 Quick edit Valid - stable 2021-06-17 UKGBNILLS009
euMonitoringSiteCode.UKGBNILLS010 LARNESOUTH Quick edit Valid - stable 2021-06-17 UKGBNILLS010
euMonitoringSiteCode.UKGBNIMCO001 MCA Quick edit Valid - stable 2021-06-17 UKGBNIMCO001
euMonitoringSiteCode.UKGBNIMCO002 MOURNE COAST 1 Quick edit Valid - stable 2021-06-17 UKGBNIMCO002
euMonitoringSiteCode.UKGBNIMCO003 MOURNE COAST 2 Quick edit Valid - stable 2021-06-17 UKGBNIMCO003
euMonitoringSiteCode.UKGBNIMCO004 NICHOLSONSPOINT Quick edit Valid - stable 2021-06-17 UKGBNIMCO004
euMonitoringSiteCode.UKGBNIMCO005 CRANFIELDPOINT Quick edit Valid - stable 2021-06-17 UKGBNIMCO005
euMonitoringSiteCode.UKGBNIMCO006 MOURNE COAST HERRING GROUND Quick edit Valid - stable 2021-06-17 UKGBNIMCO006
euMonitoringSiteCode.UKGBNIMCO007 MOURNE COAST 3 Quick edit Valid - stable 2021-06-17 UKGBNIMCO007
euMonitoringSiteCode.UKGBNIMCO008 MCB Quick edit Valid - stable 2021-06-17 UKGBNIMCO008
euMonitoringSiteCode.UKGBNIMCO009 RUSSELSPOINT Quick edit Valid - stable 2021-06-17 UKGBNIMCO009
euMonitoringSiteCode.UKGBNIMCO010 GLASSDRUMMAN Quick edit Valid - stable 2021-06-17 UKGBNIMCO010
euMonitoringSiteCode.UKGBNIMCO011 AFBIWFD87 Quick edit Valid - stable 2021-06-17 UKGBNIMCO011
euMonitoringSiteCode.UKGBNIMCO012 AFBIWFD88 Quick edit Valid - stable 2021-06-17 UKGBNIMCO012
euMonitoringSiteCode.UKGBNIMCO013 AFBIWFD89 Quick edit Valid - stable 2021-06-17 UKGBNIMCO013
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?