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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

585 concepts found, displaying 181 to 200.First678910111213Last
Id Label Status Status Modified Notation
181 Range for pollutant 449 for var in ug.m-3 Quick edit Valid 2016-11-17 181
182 Range for pollutant 449 for week in ug.m-3 Quick edit Valid 2016-11-17 182
183 Range for pollutant 450 for day in ug.m-3 Quick edit Valid 2016-11-17 183
184 Range for pollutant 450 for hour in ug.m-3 Quick edit Valid 2016-11-17 184
185 Range for pollutant 450 for month in ug.m-3 Quick edit Valid 2016-11-17 185
186 Range for pollutant 450 for var in ug.m-3 Quick edit Valid 2016-11-17 186
187 Range for pollutant 450 for week in ug.m-3 Quick edit Valid 2016-11-17 187
188 Range for pollutant 450 for year in ug.m-3 Quick edit Valid 2016-11-17 188
189 Range for pollutant 451 for day in ug.m-3 Quick edit Valid 2016-11-17 189
190 Range for pollutant 451 for hour in ug.m-3 Quick edit Valid 2016-11-17 190
191 Range for pollutant 451 for var in ug.m-3 Quick edit Valid 2016-11-17 191
192 Range for pollutant 451 for week in ug.m-3 Quick edit Valid 2016-11-17 192
193 Range for pollutant 464 for day in ug.m-3 Quick edit Valid 2016-11-17 193
194 Range for pollutant 464 for hour in ug.m-3 Quick edit Valid 2016-11-17 194
195 Range for pollutant 464 for month in ug.m-3 Quick edit Valid 2016-11-17 195
196 Range for pollutant 464 for var in ug.m-3 Quick edit Valid 2016-11-17 196
197 Range for pollutant 464 for week in ug.m-3 Quick edit Valid 2016-11-17 197
198 Range for pollutant 464 for year in ug.m-3 Quick edit Valid 2016-11-17 198
199 Range for pollutant 465 for day in ng.m-3 Quick edit Valid 2016-11-17 199
200 Range for pollutant 465 for year in ng.m-3 Quick edit Valid 2016-11-17 200
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?