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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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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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  • 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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20 Aug 2020
sitecodes_YEARS_DELETED Quantitative
Released
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  • Step 4
  • Step 5
20 Aug 2020

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

192,024 concepts found, displaying 187,741 to 187,760.First9,3849,3859,3869,3879,3889,3899,3909,391Last
Id Label Status Status Modified Notation
555770134 Ägelsee Quick edit Valid 2024-11-04 555770134
555770135 Boppelser Weid Quick edit Valid 2024-11-04 555770135
555770136 Tisenriet Quick edit Valid 2024-11-04 555770136
555770137 Tobel Quick edit Valid 2024-11-04 555770137
555770138 Töbeliweiher Quick edit Valid 2024-11-04 555770138
555770139 Tobelweid:TSO, Ried Quick edit Valid 2024-11-04 555770139
555770140 Torfriet Quick edit Valid 2024-11-04 555770140
555770141 Tössmündung Quick edit Valid 2024-11-04 555770141
555770142 Tösswald Quick edit Valid 2024-11-04 555770142
555770143 Tr.Reckholderboden/Ried Moosweid Quick edit Valid 2024-11-04 555770143
555770144 Trocken- und Feuchtstandorte in der Weid Quick edit Valid 2024-11-04 555770144
555770145 Trocken-, Feuchtstandorte Scheller Quick edit Valid 2024-11-04 555770145
555770146 Bösensee Quick edit Valid 2024-11-04 555770146
555770147 Trockenrasen Steinigbuck Quick edit Valid 2024-11-04 555770147
555770148 Trockenstandort Roswiesen Quick edit Valid 2024-11-04 555770148
555770149 Trockenstandort Allmen West Quick edit Valid 2024-11-04 555770149
555770150 Trockenstandort Älpli Quick edit Valid 2024-11-04 555770150
555770151 Trockenstandort Auenberg Quick edit Valid 2024-11-04 555770151
555770152 Trockenstandort Bachtelhörnli Quick edit Valid 2024-11-04 555770152
555770153 Trockenstandort Breiti Quick edit Valid 2024-11-04 555770153
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?