You are here:
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
adms:status Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
01 Oct 2015
dct:isReplacedBy Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
08 Oct 2013
dct:replaces Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
08 Oct 2013
hasFeatureOfInterest Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
08 Feb 2016
hasIdentifierScheme Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
22 Nov 2024
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

440,076 concepts found, displaying 841 to 860.First3940414243444546Last
Id Label Status Status Modified Notation
eionetMonitoringSiteCode.ATFW31100037 BERNHARDSTHAL Quick edit Deprecated - superseded 2021-06-17 ATFW31100037
eionetMonitoringSiteCode.ATFW31100057 HOHENAU Quick edit Deprecated - superseded 2021-06-17 ATFW31100057
eionetMonitoringSiteCode.ATFW31100067 DROSENDORF Quick edit Deprecated - superseded 2021-06-17 ATFW31100067
eionetMonitoringSiteCode.ATFW31100077 MARCHEGG Quick edit Deprecated - superseded 2021-06-17 ATFW31100077
eionetMonitoringSiteCode.ATFW31100087 UH DEINZENDORF Quick edit Deprecated - retired 2021-06-17 ATFW31100087
eionetMonitoringSiteCode.ATFW31100097 OH JUNGBUNZLAUER Quick edit Deprecated - retired 2021-06-17 ATFW31100097
eionetMonitoringSiteCode.ATFW31100107 SCHWARZENAU Quick edit Deprecated - retired 2021-06-17 ATFW31100107
eionetMonitoringSiteCode.ATFW31100117 OH ERNSTBRUNN Quick edit Deprecated - superseded 2021-06-17 ATFW31100117
eionetMonitoringSiteCode.ATFW31100127 OH NEUSIEDL AN DER ZAYA Quick edit Deprecated - superseded 2021-06-17 ATFW31100127
eionetMonitoringSiteCode.ATFW31200037 GATTENDORF Quick edit Deprecated - superseded 2021-06-17 ATFW31200037
eionetMonitoringSiteCode.ATFW31200087 ERLACH Quick edit Deprecated - retired 2021-06-17 ATFW31200087
eionetMonitoringSiteCode.ATFW31200097 OH SEIBERSDORF BEI WAMPERSDORF Quick edit Deprecated - superseded 2021-06-17 ATFW31200097
eionetMonitoringSiteCode.ATFW31200107 UH NASSBACHMUNDUNG Quick edit Deprecated - retired 2021-06-17 ATFW31200107
eionetMonitoringSiteCode.ATFW31200117 UH SIERNINGBACHMUNDUNG Quick edit Deprecated - retired 2021-06-17 ATFW31200117
eionetMonitoringSiteCode.ATFW40401017 UBERACKERN HOCHBURG-ACH Quick edit Deprecated - retired 2021-06-17 ATFW40401017
eionetMonitoringSiteCode.ATFW40502017 INN BRAUNAU Quick edit Deprecated - superseded 2021-06-17 ATFW40502017
eionetMonitoringSiteCode.ATFW40502037 INGLING Quick edit Deprecated - superseded 2021-06-17 ATFW40502037
eionetMonitoringSiteCode.ATFW40503037 JAHRSDORF Quick edit Deprecated - retired 2021-06-17 ATFW40503037
eionetMonitoringSiteCode.ATFW40503046 LAIMHAUSMUHLE PEGEL Quick edit Deprecated - retired 2021-06-17 ATFW40503046
eionetMonitoringSiteCode.ATFW40504017 ALTHEIM Quick edit Deprecated - retired 2021-06-17 ATFW40504017
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?