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 321 to 340.First1314151617181920Last
Id Label Status Status Modified Notation
321 Range for pollutant 762 for day in ng.m-3 Quick edit Valid 2016-11-17 321
322 Range for pollutant 762 for year in ng.m-3 Quick edit Valid 2016-11-17 322
323 Range for pollutant 763 for month in ng.m-3 Quick edit Valid 2016-11-17 323
324 Range for pollutant 1012 for day in ug.m-3 Quick edit Valid 2016-11-17 324
325 Range for pollutant 1014 for day in ng.m-3 Quick edit Valid 2016-11-17 325
326 Range for pollutant 1015 for day in ng.m-3 Quick edit Valid 2016-11-17 326
327 Range for pollutant 1018 for day in ug.m-3 Quick edit Valid 2016-11-17 327
328 Range for pollutant 1029 for day in ng.m-3 Quick edit Valid 2016-11-17 328
329 Range for pollutant 1045 for day in ug.m-3 Quick edit Valid 2016-11-17 329
330 Range for pollutant 1045 for hour in ug.m-3 Quick edit Valid 2016-11-17 330
331 Range for pollutant 1045 for var in ug.m-3 Quick edit Valid 2016-11-17 331
332 Range for pollutant 1045 for week in ug.m-3 Quick edit Valid 2016-11-17 332
333 Range for pollutant 1045 for year in ug.m-3 Quick edit Valid 2016-11-17 333
334 Range for pollutant 1046 for day in ug.m-3 Quick edit Valid 2016-11-17 334
335 Range for pollutant 1046 for hour in ug.m-3 Quick edit Valid 2016-11-17 335
336 Range for pollutant 1046 for var in ug.m-3 Quick edit Valid 2016-11-17 336
337 Range for pollutant 1046 for week in ug.m-3 Quick edit Valid 2016-11-17 337
338 Range for pollutant 1046 for year in ug.m-3 Quick edit Valid 2016-11-17 338
339 Range for pollutant 1047 for day in ug.m-3 Quick edit Valid 2016-11-17 339
340 Range for pollutant 1047 for hour in ug.m-3 Quick edit Valid 2016-11-17 340
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?