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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
dct:isReplacedBy Quantitative
Released
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  • Step 5
08 Oct 2013
dct:replaces Quantitative
Released
  • Step 1
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  • Step 4
  • Step 5
08 Oct 2013
hasIdentifierScheme Vocabulary
Released
  • Step 1
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  • Step 3
  • Step 4
  • Step 5
29 Oct 2015
hasRelatedZone Quantitative
Released
  • Step 1
  • Step 2
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  • Step 5
08 Feb 2016
hasSpecialisedZoneType Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
03 Nov 2015
hasZoneType Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
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  • Step 5
18 Oct 2016
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

106,312 concepts found, displaying 141 to 160.First4567891011Last
Id Label Status Status Modified Notation
euProtectedAreaCode.AT1210001800310010 NEUSTADL HOSSGANG Quick edit Deprecated - retired 2022-08-11 AT1210001800310010
euProtectedAreaCode.AT1210003900040010 AUSEE 1 BLINDENMARKT Quick edit Valid - stable 2022-08-11 AT1210003900040010
euProtectedAreaCode.AT1210003900040020 AUSEE 2 BLINDENMARKT Quick edit Valid - stable 2022-08-11 AT1210003900040020
euProtectedAreaCode.AT1210003900040030 AUSEE 3 BLINDENMARKT Quick edit Valid - stable 2022-08-11 AT1210003900040030
euProtectedAreaCode.AT1210005000190010 DONAU ALTARM WEITENEGG Quick edit Valid - stable 2022-08-11 AT1210005000190010
euProtectedAreaCode.AT1210008000350010 LUNZER SEE LUNZ Quick edit Valid - stable 2022-08-11 AT1210008000350010
euProtectedAreaCode.AT1230000100340010 RATZERSDORFER SEE Quick edit Valid - stable 2022-08-11 AT1230000100340010
euProtectedAreaCode.AT1230002700210010 EBERSDORFER SEE Quick edit Valid - stable 2022-08-11 AT1230002700210010
euProtectedAreaCode.AT1230003600060010 BADESEE TRAISMAUER Quick edit Valid - stable 2022-08-11 AT1230003600060010
euProtectedAreaCode.AT1240000600010010 ASANGTEICH GMUND Quick edit Deprecated - retired 2022-08-11 AT1240000600010010
euProtectedAreaCode.AT1240001600270010 HERRENTEICH LITSCHAU Quick edit Valid - stable 2022-08-11 AT1240001600270010
euProtectedAreaCode.AT1240002900220010 EDLERSEETEICH GERAS Quick edit Valid - stable 2022-08-11 AT1240002900220010
euProtectedAreaCode.AT1240003000120010 BADETEICH HORN Quick edit Valid - stable 2022-08-11 AT1240003000120010
euProtectedAreaCode.AT1240003300170010 BERGWERKSEE LANGAU Quick edit Valid - stable 2022-08-11 AT1240003300170010
euProtectedAreaCode.AT1240005300370010 THURNBERGER STAUSEE IDOLSBERG Quick edit Valid - stable 2022-08-11 AT1240005300370010
euProtectedAreaCode.AT1240005400290010 KAMP FLUSSBAD LANGENLOIS Quick edit Deprecated - retired 2022-08-11 AT1240005400290010
euProtectedAreaCode.AT1240007000200010 DONAU WEISSENKIRCHEN Quick edit Deprecated - retired 2022-08-11 AT1240007000200010
euProtectedAreaCode.AT1240008800070010 BADETEICH ALLENTSTEIG Quick edit Valid - stable 2022-08-11 AT1240008800070010
euProtectedAreaCode.AT1240009900240010 FRAUENWIESERTEICH LANGSCHLAG Quick edit Valid - stable 2022-08-11 AT1240009900240010
euProtectedAreaCode.AT1240010300180010 DOBRASTAUSEE POLLA Quick edit Valid - stable 2022-08-11 AT1240010300180010
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?