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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 Site code
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
sitecodes_CC_ISO2 Vocabulary
Released
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19 Aug 2020
sitecodes_DATE_ALLOCATED Quantitative
Released
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20 Aug 2020
sitecodes_DATE_CREATED Quantitative
Released
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  • Step 5
20 Aug 2020
sitecodes_DATE_DELETED Quantitative
Released
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  • Step 5
20 Aug 2020
sitecodes_INITIAL_SITE_NAME Quantitative
Released
  • Step 1
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_SITE_CODE_NAT Quantitative
Released
  • Step 1
  • Step 2
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  • Step 5
20 Aug 2020
sitecodes_STATUS Fixed values
Released
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20 Aug 2020
sitecodes_USER_ALLOCATED Quantitative
Released
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20 Aug 2020
sitecodes_USER_CREATED Quantitative
Released
  • Step 1
  • Step 2
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  • Step 5
20 Aug 2020
sitecodes_YEARS_DELETED Quantitative
Released
  • Step 1
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  • Step 3
  • Step 4
  • Step 5
20 Aug 2020

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

192,024 concepts found, displaying 187,541 to 187,560.First9,3749,3759,3769,3779,3789,3799,3809,381Last
Id Label Status Status Modified Notation
555769934 Maas-Tälchen Quick edit Valid 2024-11-04 555769934
555769935 Mädlesten - Ried Quick edit Valid 2024-11-04 555769935
555769936 Bachtelweiher Quick edit Valid 2024-11-04 555769936
555769937 Magerwiese Allmen Ost Quick edit Valid 2024-11-04 555769937
555769938 Magerwiese Allmen Süd Quick edit Valid 2024-11-04 555769938
555769939 Magerwiese Farnrain Quick edit Valid 2024-11-04 555769939
555769940 Magerwiese Nideltobel Quick edit Valid 2024-11-04 555769940
555769941 Magerwiese östlich Laubberg Quick edit Valid 2024-11-04 555769941
555769942 Magerwiesen Egg/Eggweid Quick edit Valid 2024-11-04 555769942
555769943 Massholderen, Magerweide, Magerwiese Quick edit Valid 2024-11-04 555769943
555769944 Moorbiotope Hinter Guldenen Quick edit Valid 2024-11-04 555769944
555769945 Moos Quick edit Valid 2024-11-04 555769945
555769946 Moos, Birmensdorf Quick edit Valid 2024-11-04 555769946
555769947 Badholz/Bergweid Quick edit Valid 2024-11-04 555769947
555769948 Mooshölzli Quick edit Valid 2024-11-04 555769948
555769949 Mördersee (Söll) Quick edit Valid 2024-11-04 555769949
555769950 Mülichramweiher Quick edit Valid 2024-11-04 555769950
555769951 Mülistettenried Quick edit Valid 2024-11-04 555769951
555769952 Mülitobel Quick edit Valid 2024-11-04 555769952
555769953 Müliweiher Quick edit Valid 2024-11-04 555769953
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?