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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 4
  • Step 5
22 Nov 2024
hasRelatedZone Quantitative
Released
  • Step 1
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  • Step 5
08 Feb 2016
hasSpecialisedZoneType Vocabulary
Released
  • Step 1
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  • Step 3
  • Step 4
  • Step 5
03 Nov 2015
hasZoneType Vocabulary
Released
  • Step 1
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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
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  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

138,256 concepts found, displaying 5,341 to 5,360.First264265266267268269270271Last
Id Label Status Status Modified Notation
euProtectedAreaCode.DEMV_PR_2_0126 SCHWERINER SEE BAD KLEINEN Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0126
euProtectedAreaCode.DEMV_PR_2_0130 GROSS LABENZER SEE KLEIN LABENZ Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0130
euProtectedAreaCode.DEMV_PR_2_0133 WARINER SEE WARIN Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0133
euProtectedAreaCode.DEMV_PR_2_0136 CRAMONER SEE CRAMONSHAGEN Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0136
euProtectedAreaCode.DEMV_PR_2_0142 VIETLUEBBER SEE VIETLUEBBE Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0142
euProtectedAreaCode.DEMV_PR_2_0144 ROEGGELINER SEE KLOCKSDORF Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0144
euProtectedAreaCode.DEMV_PR_2_0145 DUEMMER SEE PERLIN Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0145
euProtectedAreaCode.DEMV_PR_2_0147 MECHOWER SEE WIETINGSBEK Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0147
euProtectedAreaCode.DEMV_PR_2_0150 DUTZOWER SEE DUTZOW Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0150
euProtectedAreaCode.DEMV_PR_2_0153 PLOGGENSEE GREVESMUEHLEN Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0153
euProtectedAreaCode.DEMV_PR_2_0154 NEUKLOSTER SEE NEUKLOSTER Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0154
euProtectedAreaCode.DEMV_PR_2_0161 TRESSOWER SEE TRESSOW Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0161
euProtectedAreaCode.DEMV_PR_2_0170 KIESSEE DREENKROEGEN Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0170
euProtectedAreaCode.DEMV_PR_2_0171 NEUSTAEDTER SEE NEUSTADT GLEWE Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0171
euProtectedAreaCode.DEMV_PR_2_0176 KIESSEE NEU ZACHUN Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0176
euProtectedAreaCode.DEMV_PR_2_0178 PROBST JESARER SEE PROBST JESAR Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0178
euProtectedAreaCode.DEMV_PR_2_0179 SCHAALSEE ZARRENTIN Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0179
euProtectedAreaCode.DEMV_PR_2_0302 DUCKWITZER SEE DUCKWITZ Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0302
euProtectedAreaCode.DEMV_PR_2_0306 MALCHINER SEE BRISTOW Quick edit Deprecated - retired 2025-01-29 DEMV_PR_2_0306
euProtectedAreaCode.DEMV_PR_2_0308 MALCHINER SEE DAHMEN Quick edit Valid - stable 2025-01-29 DEMV_PR_2_0308
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?