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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
skos:broader Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:narrower Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Sep 2015

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

176 concepts found, displaying 141 to 160.First23456789Last
Id Label Status Status Modified Notation
910 Silting up Quick edit Valid 2014-01-31 910
920 Drying out Quick edit Valid 2014-01-31 920
930 Submersion Quick edit Valid 2014-01-31 930
940 Natural catastrophes Quick edit Valid 2014-01-31 940
941 inundation Quick edit Valid 2014-01-31 941
942 avalanche Quick edit Valid 2014-01-31 942
943 collapse of terrain, landslide Quick edit Valid 2014-01-31 943
944 storm, cyclone Quick edit Valid 2014-01-31 944
945 volcanic activity Quick edit Valid 2014-01-31 945
946 earthquake Quick edit Valid 2014-01-31 946
947 tidal wave Quick edit Valid 2014-01-31 947
948 fire (natural) Quick edit Valid 2014-01-31 948
949 other natural catastrophes Quick edit Valid 2014-01-31 949
950 Biocenotic evolution Quick edit Valid 2014-01-31 950
951 drying out / accumulation of organic material Quick edit Valid 2014-01-31 951
952 eutrophication Quick edit Valid 2014-01-31 952
953 acidification Quick edit Valid 2014-01-31 953
954 invasion by a species Quick edit Valid 2014-01-31 954
960 Interspecific faunal relations Quick edit Valid 2014-01-31 960
961 competition (example: gull/tern) Quick edit Valid 2014-01-31 961
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?