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
broaderMetric Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
15 Apr 2014
Remove
skos:scopeNote Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013
Remove
relatedPollutant Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
15 Apr 2014
Remove

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

69 concepts found, displaying 21 to 40.First1234Last
Id Label Status Status Modified Notation
P1Y-3hAbove500 3 consecutive hours in exceedance of 500 Quick edit Valid 15.04.2014 P1Y-3hAbove500
P1Y-8hdmxAbove10 1 year daymax exceed 10 Quick edit Valid 15.04.2014 P1Y-8hdmxAbove10
P1Y-P1D-per90.4 1 year 90.4 percentile - COMPLIANCE Quick edit Valid 03.06.2014 P1Y-P1D-per90.4
P1Y-P1D-per90.41 1 year 90.41 percentile Quick edit Valid 15.04.2014 P1Y-P1D-per90.41
P1Y-P1D-per99 1 year 99 percentile Quick edit Valid 22.03.2017 P1Y-P1D-per99
P1Y-P1D-per99.18 1 year 99.18 percentile of daily value/mean (see P1Y-day-max-per99.18) Quick edit Valid 14.12.2017 P1Y-P1D-per99.18
P1Y-WA-avg yearly mean weighted average Quick edit Valid 15.04.2014 P1Y-WA-avg
P1Y-WA-dc 1 year weighted average data capture Quick edit Valid 15.04.2014 P1Y-WA-dc
P1Y-WA-tc 1 year weighted average time coverage Quick edit Valid 15.04.2014 P1Y-WA-tc
P1Y-day-max 1 year day max Quick edit Valid 15.04.2014 P1Y-day-max
P1Y-day-max-per99.18 1 year 99.18 percentile of daily MEAN (P1Y-P1D-per99.18) Quick edit Valid 03.06.2014 P1Y-day-max-per99.18
P1Y-day-max36 1 year day max 36 Quick edit Valid 15.04.2014 P1Y-day-max36
P1Y-day-max4 1 year day max 4 Quick edit Valid 15.04.2014 P1Y-day-max4
P1Y-day-min 1 year day min Quick edit Valid 15.04.2014 P1Y-day-min
P1Y-day-per50 1 year 50 %ile of daily values in a year Quick edit Valid 03.06.2014 P1Y-day-per50
P1Y-daysAbove100 1 year exceed 100 Quick edit Valid 15.04.2014 P1Y-daysAbove100
P1Y-daysAbove125 1 year day exceed 125 Quick edit Valid 15.04.2014 P1Y-daysAbove125
P1Y-daysAbove50 1 year day exceed 50 Quick edit Valid 15.04.2014 P1Y-daysAbove50
P1Y-dc Data capture of reported units in 1 year Quick edit Valid 15.04.2014 P1Y-dc
P1Y-dmax-per93.15 1 year 93.15 percentile daily 8h maximum Quick edit Valid 03.06.2014 P1Y-dmax-per93.15
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?