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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 3,321 to 3,340.First163164165166167168169170Last
Id Label Status Status Modified Notation
DE3224331 Meißendorfer Teiche, Ostenholzer Moor Quick edit Valid 2018-01-19 DE3224331
DE3224401 Ostenholzer Moor und Meißendorfer Teiche Quick edit Valid 2018-01-19 DE3224401
DE3226301 Bornriethmoor Quick edit Valid 2018-01-19 DE3226301
DE3226331 Entenfang Boye und Bruchbach Quick edit Valid 2018-01-19 DE3226331
DE3227301 Breites Moor Quick edit Valid 2018-01-19 DE3227301
DE3227331 Kleingewässer bei Dalle Quick edit Valid 2018-01-19 DE3227331
DE3227401 Südheide und Aschauteiche bei Eschede Quick edit Valid 2018-01-19 DE3227401
DE3229331 Ise mit Nebenbächen Quick edit Valid 2018-01-19 DE3229331
DE3229401 Schweimker Moor und Lüderbruch Quick edit Valid 2018-01-19 DE3229401
DE3230331 Ohreaue Quick edit Valid 2018-01-19 DE3230331
DE3231301 Diesdorfer Wohld Quick edit Valid 2018-01-19 DE3231301
DE3232301 Rohrberger Moor Quick edit Valid 2018-01-19 DE3232301
DE3232302 Jeetze zwischen Beetzendorf und Salzwedel Quick edit Valid 2018-01-19 DE3232302
DE3232303 Waldgebiet Ferchau bei Salzwedel Quick edit Valid 2018-01-19 DE3232303
DE3232304 Moorweide bei Stapen Quick edit Valid 2018-01-19 DE3232304
DE3233301 Köhe westlich Winterfeld Quick edit Valid 2018-01-19 DE3233301
DE3233302 Kuhschellenstandort bei Recklingen Quick edit Valid 2018-01-19 DE3233302
DE3234301 Kalbescher Werder bei Vienau Quick edit Valid 2018-01-19 DE3234301
DE3236301 Uchte unterhalb Goldbeck Quick edit Valid 2018-01-19 DE3236301
DE3237301 Fasanengarten Iden Quick edit Valid 2018-01-19 DE3237301
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?