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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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20 Aug 2020
sitecodes_DATE_DELETED Quantitative
Released
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20 Aug 2020
sitecodes_INITIAL_SITE_NAME Quantitative
Released
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  • Step 5
20 Aug 2020
sitecodes_SITE_CODE_NAT Quantitative
Released
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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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20 Aug 2020
sitecodes_YEARS_DELETED Quantitative
Released
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20 Aug 2020

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

192,024 concepts found, displaying 187,781 to 187,800.First9,3869,3879,3889,3899,3909,3919,3929,393Last
Id Label Status Status Modified Notation
555770174 Trockenstandort und Ried östlich Breite Quick edit Valid 2024-11-04 555770174
555770175 Trockenstandort Wueerital West Quick edit Valid 2024-11-04 555770175
555770176 Trockenstandorte Ägetswil Quick edit Valid 2024-11-04 555770176
555770177 Trockenstandorte bei Ellikon Quick edit Valid 2024-11-04 555770177
555770178 Trockenstandorte Chueweid Quick edit Valid 2024-11-04 555770178
555770179 Breitmatt Quick edit Valid 2024-11-04 555770179
555770180 Trockenstandorte entlang Bahndamm Quick edit Valid 2024-11-04 555770180
555770181 Trockenstandorte Forhalden Quick edit Valid 2024-11-04 555770181
555770182 Trockenstandorte Roggenacher-Egg Quick edit Valid 2024-11-04 555770182
555770183 Trockenstandorte Schwändi Quick edit Valid 2024-11-04 555770183
555770184 Trockenstandorte Schwändibuck Quick edit Valid 2024-11-04 555770184
555770185 Trockenstandorte südlich Loch Quick edit Valid 2024-11-04 555770185
555770186 Trockenstandorte Südlich Loch Quick edit Valid 2024-11-04 555770186
555770187 Trockenstandorte und Hangriede Usser-Matt Quick edit Valid 2024-11-04 555770187
555770188 Trockenstandorte und Waldstandorte Bahndamm Landikon Quick edit Valid 2024-11-04 555770188
555770189 Trockstandort und Waldstandorte Bahndamm Guet-Chlihaeuli, Tislimatt Quick edit Valid 2024-11-04 555770189
555770190 Bruchwald Maas Quick edit Valid 2024-11-04 555770190
555770191 TSO Gentner Quick edit Valid 2024-11-04 555770191
555770192 TSO Risi Quick edit Valid 2024-11-04 555770192
555770193 TSO Akau Quick edit Valid 2024-11-04 555770193
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?