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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
  • 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
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 (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

2,939 concepts found, displaying 981 to 1,000.First4647484950515253Last
Id Label Status Status Modified Notation
1997 Natrix natrix gotlandica Quick edit Valid 2013-08-06 1997
1998 Romanichthys valsanicola Quick edit Valid 2013-08-06 1998
2001 Triturus montandoni Quick edit Valid 2013-08-06 2001
2002 Pelodytes caucasicus Quick edit Valid 2013-08-06 2002
2004 Lacerta lepida Quick edit Valid 2013-08-06 2004
2005 Lacerta parva Quick edit Valid 2013-08-06 2005
2006 Lacerta princeps Quick edit Valid 2013-08-06 2006
2007 Coluber gemonensis Quick edit Deprecated - superseded 2013-08-06 2007
2008 Vipera kaznakovi Quick edit Valid 2013-08-06 2008
2010 Vipera lebetina Quick edit Valid 2013-08-06 2010
2011 Umbra krameri Quick edit Valid 2013-08-06 2011
2012 Calopteryx syriaca Quick edit Valid 2013-08-06 2012
2013 Brachythemis fuscopalliata Quick edit Valid 2013-08-06 2013
2014 Myotis oxygnatus Quick edit Valid 2013-08-06 2014
2015 Nyctalus azoreum Quick edit Valid 2013-08-06 2015
2016 Pipistrellus kuhlii Quick edit Valid 2013-08-06 2016
2017 Pipistrellus maderensis Quick edit Valid 2013-08-06 2017
2018 Crocidura suaveolens ariadne Quick edit Valid 2013-08-06 2018
2019 Crocidura russula cypria Quick edit Valid 2013-08-06 2019
2020 Microtus bavaricus Quick edit Valid 2013-08-06 2020
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?