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
skos:altLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

13 concepts found, displaying all concepts.
Id Label Status Status Modified Notation
3dAbove Three consecutive days in exceedance Quick edit Valid 2024-10-29 3dAbove
3hAbove Three consecutive hours in exceedance Quick edit Valid 2013-03-22 3hAbove
90.4th The percentile 90.4 for PM10 Quick edit Valid 2013-03-22 90.4th
AEI Average Exposure Indicator Quick edit Valid 2013-03-22 AEI
AOT40c AOT40 vegetation protection Quick edit Valid 2013-03-22 AOT40c
AOT40c-5yr AOT40 vegetation protection averaged over 5 years Quick edit Valid 2013-03-22 AOT40c-5yr
AOT40f AOT 40 forest protection Quick edit Valid 2013-03-22 AOT40f
NA Not applicable Quick edit Valid 2013-10-10 NA
aMean Annual mean / average Quick edit Valid 2013-03-22 aMean
daysAbove Days in exceedance in a calendar year Quick edit Valid 2013-03-22 daysAbove
daysAbove-3yr Days in exceedance averaged over 3 calendar years Quick edit Valid 2013-03-22 daysAbove-3yr
hrsAbove Hours in exceedance in a calendar year Quick edit Valid 2013-03-22 hrsAbove
wMean Winter Mean Quick edit Valid 2013-03-22 wMean
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?