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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 2,341 to 2,360.First114115116117118119120121Last
Id Label Status Status Modified Notation
DE1627322 Gorkwiese Kitzeberg Quick edit Valid 2018-01-19 DE1627322
DE1627391 Kalkreiche Niedermoorwiese am Ostufer des Dobersdorfer Sees Quick edit Valid 2018-01-19 DE1627391
DE1628302 Selenter See Quick edit Valid 2018-01-19 DE1628302
DE1628491 Selenter See-Gebiet Quick edit Valid 2018-01-19 DE1628491
DE1629320 Hohenfelder Mühlenau Quick edit Valid 2018-01-19 DE1629320
DE1629391 Strandseen der Hohwachter Bucht Quick edit Valid 2018-01-19 DE1629391
DE1631304 Seegalendorfer Gehölz Quick edit Valid 2018-01-19 DE1631304
DE1631351 Seegalendorfer und Neuratjensdorfer Moor Quick edit Valid 2018-01-19 DE1631351
DE1631391 Putlos Quick edit Valid 2018-01-19 DE1631391
DE1631392 Meeresgebiet der östlichen Kieler Bucht Quick edit Valid 2018-01-19 DE1631392
DE1631393 Küstenlandschaft Nordseite der Wagrischen Halbinsel Quick edit Valid 2018-01-19 DE1631393
DE1632392 Küstenlandschaft vor Großenbrode und vorgelagerte Meeresbereiche Quick edit Valid 2018-01-19 DE1632392
DE1633491 Ostsee östlich Wagrien Quick edit Valid 2018-01-19 DE1633491
DE1640301 Ahrenshooper Holz Quick edit Valid 2018-01-19 DE1640301
DE1640302 Hohes Ufer zwischen Ahrenshoop und Wustrow Quick edit Valid 2018-01-19 DE1640302
DE1641301 Barther Stadtholz Quick edit Valid 2018-01-19 DE1641301
DE1643301 Kleingewässerlandschaft bei Groß Kordshagen (Nordvorpommern) Quick edit Valid 2018-01-19 DE1643301
DE1645302 Kreidebruch bei Berglase Quick edit Valid 2018-01-19 DE1645302
DE1646302 Tilzower Wald Quick edit Valid 2018-01-19 DE1646302
DE1647303 Granitz Quick edit Valid 2018-01-19 DE1647303
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?