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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
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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 187,901 to 187,920.First9,3929,3939,3949,3959,3969,3979,3989,399Last
Id Label Status Status Modified Notation
555770294 Waldstandort Ofengüpf-Egg Quick edit Valid 2024-11-04 555770294
555770295 Waldstandort Ornberg Quick edit Valid 2024-11-04 555770295
555770296 Waldstandort Rumliker Tobel Quick edit Valid 2024-11-04 555770296
555770297 Waldstandort Stapfete Quick edit Valid 2024-11-04 555770297
555770298 Waldstandort Stierlibachtobel Quick edit Valid 2024-11-04 555770298
555770299 Waldstandort Tämbrig Quick edit Valid 2024-11-04 555770299
555770300 Waldstandort Üetliberg-Osthang Quick edit Valid 2024-11-04 555770300
555770301 Cholrüti Quick edit Valid 2024-11-04 555770301
555770302 Waldstandort Unter Hueb Quick edit Valid 2024-11-04 555770302
555770303 Waldstandort Weidel Quick edit Valid 2024-11-04 555770303
555770304 Waldsumpf Wolfsgrueb Quick edit Valid 2024-11-04 555770304
555770305 Waldweiher im Landforst Quick edit Valid 2024-11-04 555770305
555770306 Waldwiese Allmen West Quick edit Valid 2024-11-04 555770306
555770307 Waldwiese Jäukli Quick edit Valid 2024-11-04 555770307
555770308 Waldwiese Lätten-Wisstöbler Quick edit Valid 2024-11-04 555770308
555770309 Waldwiese westlich Weid Quick edit Valid 2024-11-04 555770309
555770310 Waldwiesen Unterfeiet Quick edit Valid 2024-11-04 555770310
555770311 Wandbuck Quick edit Valid 2024-11-04 555770311
555770312 Chräenriet Quick edit Valid 2024-11-04 555770312
555770313 Wannenriede Quick edit Valid 2024-11-04 555770313
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?