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 381 to 400.First1617181920212223Last
Id Label Status Status Modified Notation
381 Range for pollutant 2014 for month in ug.l-1 Quick edit Valid 2016-11-17 381
382 Range for pollutant 2014 for var in ug.l-1 Quick edit Valid 2016-11-17 382
383 Range for pollutant 2014 for week in ug.l-1 Quick edit Valid 2016-11-17 383
384 Range for pollutant 2015 for month in ug.l-1 Quick edit Valid 2016-11-17 384
385 Range for pollutant 2015 for var in ug.l-1 Quick edit Valid 2016-11-17 385
386 Range for pollutant 2015 for week in ug.l-1 Quick edit Valid 2016-11-17 386
387 Range for pollutant 2016 for var in ug.l-1 Quick edit Valid 2016-11-17 387
388 Range for pollutant 2016 for week in ug.l-1 Quick edit Valid 2016-11-17 388
389 Range for pollutant 2018 for month in ug.l-1 Quick edit Valid 2016-11-17 389
390 Range for pollutant 2018 for var in ug.l-1 Quick edit Valid 2016-11-17 390
391 Range for pollutant 2018 for week in ug.l-1 Quick edit Valid 2016-11-17 391
392 Range for pollutant 2063 for var in ug.l-1 Quick edit Valid 2016-11-17 392
393 Range for pollutant 2063 for week in ug.l-1 Quick edit Valid 2016-11-17 393
394 Range for pollutant 2064 for var in ug.l-1 Quick edit Valid 2016-11-17 394
395 Range for pollutant 2064 for week in ug.l-1 Quick edit Valid 2016-11-17 395
396 Range for pollutant 2065 for var in ug.l-1 Quick edit Valid 2016-11-17 396
397 Range for pollutant 2065 for week in ug.l-1 Quick edit Valid 2016-11-17 397
398 Range for pollutant 2073 for var in ug.l-1 Quick edit Valid 2016-11-17 398
399 Range for pollutant 2073 for week in ug.l-1 Quick edit Valid 2016-11-17 399
400 Range for pollutant 2076 for day in pH Quick edit Valid 2016-11-17 400
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?