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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 24,141 to 24,160.First1,2041,2051,2061,2071,2081,2091,2101,211Last
Id Label Status Status Modified Notation
SE0430101 Lövestads åsar Quick edit Valid 2018-01-19 SE0430101
SE0430104 Klövabäcken Quick edit Valid 2018-01-19 SE0430104
SE0430105 Hallabäckens dalgång Quick edit Valid 2018-01-19 SE0430105
SE0430106 Traneröds mosse Quick edit Valid 2018-01-19 SE0430106
SE0430109 Rååns dalgång Quick edit Valid 2018-01-19 SE0430109
SE0430110 Klingavälsån-Karup Quick edit Valid 2018-01-19 SE0430110
SE0430111 Falsterbo skjutfält Quick edit Valid 2018-01-19 SE0430111
SE0430112 Kabusa Quick edit Valid 2018-01-19 SE0430112
SE0430113 Revingefältet Quick edit Valid 2018-01-19 SE0430113
SE0430114 Högestads mosse Quick edit Valid 2018-01-19 SE0430114
SE0430115 Skoghejdan Quick edit Valid 2018-01-19 SE0430115
SE0430116 Skoghusets enefälad Quick edit Valid 2018-01-19 SE0430116
SE0430117 Borgen Quick edit Valid 2018-01-19 SE0430117
SE0430118 Billingemölla Quick edit Valid 2018-01-19 SE0430118
SE0430119 Abullahagen Quick edit Valid 2018-01-19 SE0430119
SE0430120 Humlarödshus Quick edit Valid 2018-01-19 SE0430120
SE0430121 Fjällmossen Quick edit Valid 2018-01-19 SE0430121
SE0430122 Fredriksbergs mosse Quick edit Valid 2018-01-19 SE0430122
SE0430124 Krankesjön Quick edit Valid 2018-01-19 SE0430124
SE0430125 Skälderviken Quick edit Valid 2018-01-19 SE0430125
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?