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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 201 to 220.First7891011121314Last
Id Label Status Status Modified Notation
201 Range for pollutant 475 for day in ug.m-3 Quick edit Valid 2016-11-17 201
202 Range for pollutant 475 for hour in ug.m-3 Quick edit Valid 2016-11-17 202
203 Range for pollutant 475 for var in ug.m-3 Quick edit Valid 2016-11-17 203
204 Range for pollutant 475 for week in ug.m-3 Quick edit Valid 2016-11-17 204
205 Range for pollutant 482 for day in ug.m-3 Quick edit Valid 2016-11-17 205
206 Range for pollutant 482 for hour in ug.m-3 Quick edit Valid 2016-11-17 206
207 Range for pollutant 482 for month in ug.m-3 Quick edit Valid 2016-11-17 207
208 Range for pollutant 482 for var in ug.m-3 Quick edit Valid 2016-11-17 208
209 Range for pollutant 482 for week in ug.m-3 Quick edit Valid 2016-11-17 209
210 Range for pollutant 482 for year in ug.m-3 Quick edit Valid 2016-11-17 210
211 Range for pollutant 486 for day in ug.m-3 Quick edit Valid 2016-11-17 211
212 Range for pollutant 486 for hour in ug.m-3 Quick edit Valid 2016-11-17 212
213 Range for pollutant 486 for month in ug.m-3 Quick edit Valid 2016-11-17 213
214 Range for pollutant 486 for var in ug.m-3 Quick edit Valid 2016-11-17 214
215 Range for pollutant 486 for week in ug.m-3 Quick edit Valid 2016-11-17 215
216 Range for pollutant 486 for year in ug.m-3 Quick edit Valid 2016-11-17 216
217 Range for pollutant 503 for day in ug.m-3 Quick edit Valid 2016-11-17 217
218 Range for pollutant 503 for hour in ug.m-3 Quick edit Valid 2016-11-17 218
219 Range for pollutant 503 for month in ug.m-3 Quick edit Valid 2016-11-17 219
220 Range for pollutant 503 for year in ug.m-3 Quick edit Valid 2016-11-17 220
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?