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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 Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

28,131 concepts found, displaying 3,301 to 3,320.First162163164165166167168169Last
Id Label Status Status Modified Notation
DE3148303 Fledermauswochenstube in Eberswalde Quick edit Valid 2018-01-19 DE3148303
DE3149301 Kanonen- und Schloßberg, Schäfergrund Quick edit Valid 2018-01-19 DE3149301
DE3149302 Niederoderbruch Quick edit Valid 2018-01-19 DE3149302
DE3149303 Plagefenn Quick edit Valid 2018-01-19 DE3149303
DE3149304 Finowtal - Ragöser Fließ Quick edit Valid 2018-01-19 DE3149304
DE3150301 Pimpinellenberg Quick edit Valid 2018-01-19 DE3150301
DE3150302 Tongruben Neuenhagen Quick edit Valid 2018-01-19 DE3150302
DE3150303 Gabower Hangkante Quick edit Valid 2018-01-19 DE3150303
DE3150304 Trockenhänge Oderberg-Liepe Quick edit Valid 2018-01-19 DE3150304
DE3150325 Breitefenn Quick edit Valid 2018-01-19 DE3150325
DE3151301 Oderwiesen Neurüdnitz Quick edit Valid 2018-01-19 DE3151301
DE3210301 Stadtveen, Kesselmoor, Süd-Tannenmoor Quick edit Valid 2018-01-19 DE3210301
DE3210302 Untere Haseniederung Quick edit Valid 2018-01-19 DE3210302
DE3211431 Niederungen der Süd- und Mittelradde und der Marka Quick edit Valid 2018-01-19 DE3211431
DE3216301 Goldenstedter Moor Quick edit Valid 2018-01-19 DE3216301
DE3217331 Wietingsmoor Quick edit Valid 2018-01-19 DE3217331
DE3218331 Rathloser Gehäge Quick edit Valid 2018-01-19 DE3218331
DE3218332 Pastorendiek und Amphibiengewässer nördlich Schwaförden Quick edit Valid 2018-01-19 DE3218332
DE3221331 Lichtenmoor Quick edit Valid 2018-01-19 DE3221331
DE3222401 Untere Allerniederung Quick edit Valid 2018-01-19 DE3222401
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?