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 501 to 520.First2223242526272829Last
Id Label Status Status Modified Notation
501 Range for pollutant 5668 for day in ug.m-3 Quick edit Valid 2016-11-17 501
502 Range for pollutant 5759 for day in ng.m-3 Quick edit Valid 2016-11-17 502
503 Range for pollutant 5759 for month in ng.m-3 Quick edit Valid 2016-11-17 503
504 Range for pollutant 5759 for var in ng.m-3 Quick edit Valid 2016-11-17 504
505 Range for pollutant 5759 for week in ng.m-3 Quick edit Valid 2016-11-17 505
506 Range for pollutant 5759 for year in ng.m-3 Quick edit Valid 2016-11-17 506
507 Range for pollutant 5762 for day in ng.m-3 Quick edit Valid 2016-11-17 507
508 Range for pollutant 5762 for month in ng.m-3 Quick edit Valid 2016-11-17 508
509 Range for pollutant 5762 for var in ng.m-3 Quick edit Valid 2016-11-17 509
510 Range for pollutant 5763 for day in ng.m-3 Quick edit Valid 2016-11-17 510
511 Range for pollutant 5763 for var in ng.m-3 Quick edit Valid 2016-11-17 511
512 Range for pollutant 5771 for day in ug.m-3 Quick edit Valid 2016-11-17 512
513 Range for pollutant 5772 for day in ug.m-3 Quick edit Valid 2016-11-17 513
514 Range for pollutant 6001 for day in ug.m-3 Quick edit Valid 2016-11-17 514
515 Range for pollutant 6001 for hour in ug.m-3 Quick edit Valid 2016-11-17 515
516 Range for pollutant 6001 for var in ug.m-3 Quick edit Valid 2016-11-17 516
517 Range for pollutant 6002 for day in ug.m-3 Quick edit Valid 2016-11-17 517
518 Range for pollutant 6002 for hour in ug.m-3 Quick edit Valid 2016-11-17 518
519 Range for pollutant 6005 for day in ug.m-3 Quick edit Valid 2016-11-17 519
520 Range for pollutant 6005 for hour in ug.m-3 Quick edit Valid 2016-11-17 520
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?