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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
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  • Step 2
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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 187,921 to 187,940.First9,3939,3949,3959,3969,3979,3989,3999,400Last
Id Label Status Status Modified Notation
555770314 Warpeltal Quick edit Valid 2024-11-04 555770314
555770315 Wehri Quick edit Valid 2024-11-04 555770315
555770316 Weier-Chueberg, Magerweide, Magerwiese Quick edit Valid 2024-11-04 555770316
555770317 Weiher Cholschwärzi/Tössallmend Quick edit Valid 2024-11-04 555770317
555770318 Weiher Gütighausen Quick edit Valid 2024-11-04 555770318
555770319 Weiher, Grube bei Wängi Quick edit Valid 2024-11-04 555770319
555770320 Weiherholz Quick edit Valid 2024-11-04 555770320
555770321 Weiherholz (süd) Quick edit Valid 2024-11-04 555770321
555770322 Weiherholz (west) Quick edit Valid 2024-11-04 555770322
555770323 Chrutzelenmoos (Hirzel) Quick edit Valid 2024-11-04 555770323
555770324 Westliches Waldried Hinter-Guldenen Quick edit Valid 2024-11-04 555770324
555770325 Widen Quick edit Valid 2024-11-04 555770325
555770326 Widum Quick edit Valid 2024-11-04 555770326
555770327 Wiesengraben Ammentännli Quick edit Valid 2024-11-04 555770327
555770328 Wildberger Tobel Quick edit Valid 2024-11-04 555770328
555770329 Wildert Quick edit Valid 2024-11-04 555770329
555770330 Wisbord/Gruebbach:TSO,Ried Quick edit Valid 2024-11-04 555770330
555770331 Wisspeter Quick edit Valid 2024-11-04 555770331
555770332 Wurzer Ost Quick edit Valid 2024-11-04 555770332
555770333 Ziegelhüttenweiher Quick edit Valid 2024-11-04 555770333
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?