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 261 to 280.First1011121314151617Last
Id Label Status Status Modified Notation
261 Range for pollutant 632 for day in mg.l-1 Quick edit Valid 2016-11-17 261
262 Range for pollutant 633 for year in ng.m-3 Quick edit Valid 2016-11-17 262
263 Range for pollutant 643 for day in ng.m-3 Quick edit Valid 2016-11-17 263
264 Range for pollutant 643 for month in ng.m-3 Quick edit Valid 2016-11-17 264
265 Range for pollutant 643 for var in ng.m-3 Quick edit Valid 2016-11-17 265
266 Range for pollutant 643 for year in ng.m-3 Quick edit Valid 2016-11-17 266
267 Range for pollutant 645 for month in ug.m-2.day-1 Quick edit Valid 2016-11-17 267
268 Range for pollutant 648 for day in ueH.l-1 Quick edit Valid 2016-11-17 268
269 Range for pollutant 653 for day in ng.m-3 Quick edit Valid 2016-11-17 269
270 Range for pollutant 653 for var in ng.m-3 Quick edit Valid 2016-11-17 270
271 Range for pollutant 654 for month in ng.m-3 Quick edit Valid 2016-11-17 271
272 Range for pollutant 654 for var in ng.m-3 Quick edit Valid 2016-11-17 272
273 Range for pollutant 654 for year in ng.m-3 Quick edit Valid 2016-11-17 273
274 Range for pollutant 656 for day in ug.m-2.day-1 Quick edit Valid 2016-11-17 274
275 Range for pollutant 656 for month in ug.m-2.day-1 Quick edit Valid 2016-11-17 275
276 Range for pollutant 656 for var in ug.m-2.day-1 Quick edit Valid 2016-11-17 276
277 Range for pollutant 656 for week in ug.m-2.day-1 Quick edit Valid 2016-11-17 277
278 Range for pollutant 656 for year in ug.m-2.day-1 Quick edit Valid 2016-11-17 278
279 Range for pollutant 658 for day in mg.l-1 Quick edit Valid 2016-11-17 279
280 Range for pollutant 659 for day in ug.m-3 Quick edit Valid 2016-11-17 280
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?