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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
maximumValue Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Nov 2016
minimumValue Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Nov 2016
primaryObservationTime Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Nov 2016
recommendedUnit Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
25 Sep 2013
relatedPollutant Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
15 Apr 2014

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

610 concepts found, displaying 141 to 160.First4567891011Last
Id Label Status Status Modified Notation
724 Range for pollutant 5759 for month in ng.m-3 specific to ES Quick edit Valid 2018-08-13 724
725 Range for pollutant 6008 for var in ug.m-3 specific to ES Quick edit Valid 2018-08-13 725
726 Range for pollutant 6009 for var in ug.m-3 specific to ES Quick edit Valid 2018-08-13 726
727 Range for pollutant 6011 for var in ug.m-3 specific to ES Quick edit Valid 2018-08-13 727
728 Range for pollutant 6012 for var in ug.m-3 specific to ES Quick edit Valid 2018-08-13 728
729 Range for pollutant 6013 for var in ug.m-3 specific to ES Quick edit Valid 2018-08-13 729
730 Range for pollutant 1 for hour in ug.m-3 specific to FI Quick edit Valid 2018-08-13 730
731 Range for pollutant 4 for day in ug.m-3 specific to FI Quick edit Valid 2018-08-13 731
732 Range for pollutant 5 for day in ug.m-3 specific to FI Quick edit Valid 2018-08-13 732
733 Range for pollutant 5 for hour in ug.m-3 specific to FI Quick edit Valid 2018-08-13 733
734 Range for pollutant 7 for hour in ug.m-3 specific to FI Quick edit Valid 2018-08-13 734
735 Range for pollutant 8 for hour in ug.m-3 specific to FI Quick edit Valid 2018-08-13 735
736 Range for pollutant 9 for hour in ug.m-3 specific to FI Quick edit Valid 2018-08-13 736
737 Range for pollutant 10 for hour in mg.m-3 specific to FI Quick edit Valid 2018-08-13 737
738 Range for pollutant 5018 for month in ng.m-3 specific to FI Quick edit Valid 2018-08-13 738
739 Range for pollutant 6001 for hour in ug.m-3 specific to FI Quick edit Valid 2018-08-13 739
740 Range for pollutant 20 for hour in ug.m-3 specific to FR Quick edit Valid 2018-08-13 740
741 Range for pollutant 5018 for year in ng.m-3 specific to FR Quick edit Valid 2018-08-13 741
742 Range for pollutant 6 for day in ug.m-3 specific to GB Quick edit Valid 2018-08-13 742
743 Range for pollutant 12 for month in ug.m-3 specific to GB Quick edit Valid 2018-08-13 743
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?