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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 2,921 to 2,940.First143144145146147148149150Last
Id Label Status Status Modified Notation
DE2645402 Wald- und Seenlandschaft Lieps-Serrahn Quick edit Valid 2018-01-19 DE2645402
DE2646304 Schmaler Luzin, Zansen und Carwitzer See Quick edit Valid 2018-01-19 DE2646304
DE2646305 Wälder bei Feldberg mit Breitem Luzin und Dolgener See Quick edit Valid 2018-01-19 DE2646305
DE2647301 Kieker und Schotterwerk Quick edit Valid 2018-01-19 DE2647301
DE2647302 Karpfensee bei Boisterfelde Quick edit Valid 2018-01-19 DE2647302
DE2647304 Fledermausquartier Bunker Zerweliner Heide Quick edit Valid 2018-01-19 DE2647304
DE2647305 Umgebung Großer und Kleiner Karpfensee (MV) Quick edit Valid 2018-01-19 DE2647305
DE2648301 Fledermauswinterquartier Friedhofsgruft Schönermark Quick edit Valid 2018-01-19 DE2648301
DE2649301 Beesenberg Quick edit Valid 2018-01-19 DE2649301
DE2649421 Uckerniederung Quick edit Valid 2018-01-19 DE2649421
DE2650301 Randowhänge bei Schmölln Quick edit Valid 2018-01-19 DE2650301
DE2650322 Kleinseen bei Carmzow Quick edit Valid 2018-01-19 DE2650322
DE2651301 Storkower Os und östlicher Bürgersee bei Penkun Quick edit Valid 2018-01-19 DE2651301
DE2651471 Randowtal Quick edit Valid 2018-01-19 DE2651471
DE2652301 Schwarzer Tanger Quick edit Valid 2018-01-19 DE2652301
DE2652302 Hohenholzer Forst und Kleingewässerlandschaft bei Kyritz Quick edit Valid 2018-01-19 DE2652302
DE2709401 Rheiderland Quick edit Valid 2018-01-19 DE2709401
DE2710331 Wolfmeer Quick edit Valid 2018-01-19 DE2710331
DE2711331 Magerwiese bei Potshausen Quick edit Valid 2018-01-19 DE2711331
DE2712331 Holtgast Quick edit Valid 2018-01-19 DE2712331
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?