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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 436,681 to 436,700.First21,83121,83221,83321,83421,83521,83621,83721,838Last
Id Label Status Status Modified Notation
euMonitoringSiteCode.UKGBNISLS036 STRANGFORD SPATIAL 40 Quick edit Valid - stable 2021-06-17 UKGBNISLS036
euMonitoringSiteCode.UKGBNISLS037 STRANGFORD SPATIAL 41 Quick edit Valid - stable 2021-06-17 UKGBNISLS037
euMonitoringSiteCode.UKGBNISLS038 STRANGFORD SPATIAL 42 Quick edit Valid - stable 2021-06-17 UKGBNISLS038
euMonitoringSiteCode.UKGBNISLS039 STRANGFORD SPATIAL 43 Quick edit Valid - stable 2021-06-17 UKGBNISLS039
euMonitoringSiteCode.UKGBNISLS040 STRANGFORD SPATIAL 44 Quick edit Valid - stable 2021-06-17 UKGBNISLS040
euMonitoringSiteCode.UKGBNISLS041 STRANGFORD SPATIAL 45 Quick edit Valid - stable 2021-06-17 UKGBNISLS041
euMonitoringSiteCode.UKGBNISLS042 STRANGFORD SPATIAL 46 Quick edit Valid - stable 2021-06-17 UKGBNISLS042
euMonitoringSiteCode.UKGBNISLS043 STRANGFORD SPATIAL 47 Quick edit Valid - stable 2021-06-17 UKGBNISLS043
euMonitoringSiteCode.UKGBNISLS044 STRANGFORD SPATIAL 48 Quick edit Valid - stable 2021-06-17 UKGBNISLS044
euMonitoringSiteCode.UKGBNISLS045 STRANGFORD SPATIAL 49 Quick edit Valid - stable 2021-06-17 UKGBNISLS045
euMonitoringSiteCode.UKGBNISLS046 STRANGFORD SPATIAL 50 Quick edit Valid - stable 2021-06-17 UKGBNISLS046
euMonitoringSiteCode.UKGBNISLS047 MARLFIELD Quick edit Valid - stable 2021-06-17 UKGBNISLS047
euMonitoringSiteCode.UKGBNISLS048 MARLFIELDROCKS Quick edit Valid - stable 2021-06-17 UKGBNISLS048
euMonitoringSiteCode.UKGBNISLS049 STRANGFORD SPATIAL 51 Quick edit Valid - stable 2021-06-17 UKGBNISLS049
euMonitoringSiteCode.UKGBNISLS050 STRANGFORD SPATIAL 52 Quick edit Valid - stable 2021-06-17 UKGBNISLS050
euMonitoringSiteCode.UKGBNISLS051 STRANGFORD SPATIAL 53 Quick edit Valid - stable 2021-06-17 UKGBNISLS051
euMonitoringSiteCode.UKGBNISLS052 STRANGFORD LOUGH 3 Quick edit Valid - stable 2021-06-17 UKGBNISLS052
euMonitoringSiteCode.UKGBNISLS053 BALLYHENRYBAY Quick edit Valid - stable 2021-06-17 UKGBNISLS053
euMonitoringSiteCode.UKGBNISLS054 STRANGFORD SPATIAL 54 Quick edit Valid - stable 2021-06-17 UKGBNISLS054
euMonitoringSiteCode.UKGBNISLS055 STRANGFORD SPATIAL 55 Quick edit Valid - stable 2021-06-17 UKGBNISLS055
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?