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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 3,001 to 3,020.First147148149150151152153154Last
Id Label Status Status Modified Notation
DE2747303 Kuhzer See/Jakobshagen Quick edit Valid 2018-01-19 DE2747303
DE2747304 Klaushagen Quick edit Valid 2018-01-19 DE2747304
DE2747305 Zerweliner Allee und Carolinenhain Quick edit Valid 2018-01-19 DE2747305
DE2748301 Charlottenhöhe Quick edit Valid 2018-01-19 DE2748301
DE2748302 Fledermausquartier Bunkeranlagen Große Heide bei Prenzlau Quick edit Valid 2018-01-19 DE2748302
DE2749301 Uckerseewiesen und Trockenhänge Quick edit Valid 2018-01-19 DE2749301
DE2749322 Seenkette Hohengüstow-Lützlow Quick edit Valid 2018-01-19 DE2749322
DE2749323 Großer Kuhsee bei Gramzow Quick edit Valid 2018-01-19 DE2749323
DE2750301 Randow-Welse-Bruch Quick edit Valid 2018-01-19 DE2750301
DE2750302 Blumberger Wald Quick edit Valid 2018-01-19 DE2750302
DE2750304 Zichower Wald - Weinberg Quick edit Valid 2018-01-19 DE2750304
DE2750305 Gutspark, Lindenallee und Storcheneiche Radewitz Quick edit Valid 2018-01-19 DE2750305
DE2750306 Randowtal bei Grünz und Schwarze Berge Quick edit Valid 2018-01-19 DE2750306
DE2751301 Piepergrund Quick edit Valid 2018-01-19 DE2751301
DE2751302 Große Hölle Quick edit Valid 2018-01-19 DE2751302
DE2751421 Randow-Welse-Bruch Quick edit Valid 2018-01-19 DE2751421
DE2752301 Trockenrasen Geesow Quick edit Valid 2018-01-19 DE2752301
DE2752302 Salveytal Quick edit Valid 2018-01-19 DE2752302
DE2752303 Silberberge Quick edit Valid 2018-01-19 DE2752303
DE2752304 Stettiner Berge Quick edit Valid 2018-01-19 DE2752304
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?