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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
baselineValue Quantitative
Released
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19 Jul 2022
baselineYearMax Quantitative
Released
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19 Jul 2022
baselineYearMin Quantitative
Released
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19 Jul 2022
exceedanceThreshold Quantitative
Released
  • Step 1
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10 Sep 2014
exceedanceThresholdExtra Quantitative
Released
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19 Jul 2022
hasObjectiveType Vocabulary
Released
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21 Jul 2014
hasReportingMetric Vocabulary
Released
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  • Step 5
05 Sep 2014
inCountry Vocabulary
Released
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29 Aug 2014
reductionTarget Quantitative
Released
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19 Jul 2022
relatedPollutant Vocabulary
Released
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15 Apr 2014
skos:editorialNote Quantitative
Released
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24 Sep 2013

Add new data elements

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

Vocabulary concepts

29 concepts found, displaying 21 to 29.First12NextLast
Id Label Status Status Modified Notation
21 PM2.5 NERT in force in 2020 for PL Quick edit Valid 2022-07-19 21
22 PM2.5 NERT in force in 2020 for PT Quick edit Valid 2022-07-19 22
23 PM2.5 NERT in force in 2020 for RO Quick edit Valid 2022-07-19 23
24 PM2.5 NERT in force in 2020 for SK Quick edit Valid 2022-07-19 24
25 PM2.5 NERT in force in 2020 for SI Quick edit Valid 2022-07-19 25
26 PM2.5 NERT in force in 2020 for ES Quick edit Valid 2022-07-19 26
27 PM2.5 NERT in force in 2020 for SE Quick edit Valid 2022-07-19 27
28 PM2.5 NERT in force in 2020 for NO Quick edit Valid 2022-10-24 28
29 PM2.5 NERT in force in 2020 for IS Quick edit Valid 2022-11-10 29
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?