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
child Quantitative
Released
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16 Jun 2021
code Quantitative
Released
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16 Jun 2021
Data_Format Quantitative
Released
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10 Feb 2012
data_unit Fixed values
Released
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30 Aug 2023
isHeader Fixed values
Released
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25 May 2021
isParameter Fixed values
Released
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  • Step 5
25 May 2021
LC_LU_Relevance Fixed values
Released
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29 Aug 2023
parent Quantitative
Released
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  • Step 5
16 Jun 2021
Thematic_Domain_Context Fixed values
Released
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29 Aug 2023

Add new data elements

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

Vocabulary concepts

979 concepts found, displaying 321 to 340.First1314151617181920Last
Id Label Status Status Modified Notation
LCH-glacier-melting Glacier Melting Quick edit Valid 2023-11-29 LCH-glacier-melting
LCH-glass Glass Quick edit Valid 2023-11-29 LCH-glass
LCH-goats Goats Quick edit Valid 2023-11-29 LCH-goats
LCH-gooseberries Gooseberries Quick edit Valid 2023-11-29 LCH-gooseberries
LCH-grain-production-crop Grain Production Crop Quick edit Valid 2023-11-29 LCH-grain-production-crop
LCH-grapefruits Grapefruits Quick edit Valid 2023-11-29 LCH-grapefruits
LCH-grapes Grapes Quick edit Valid 2023-11-29 LCH-grapes
LCH-grasslands-and-lands-dominated-by-forbs-mosses-or-lichens Grasslands and Lands Dominated By Forbs, Mosses Or Lichens Quick edit Valid 2023-11-29 LCH-grasslands-and-lands-dominated-by-forbs-mosses-or-lichens
LCH-gravity-surface-irrigation Gravity Surface Irrigation Quick edit Valid 2023-11-29 LCH-gravity-surface-irrigation
LCH-grazing Grazing Quick edit Valid 2023-11-29 LCH-grazing
LCH-grazing-cycle Grazing Cycle Quick edit Valid 2023-11-29 LCH-grazing-cycle
LCH-grazing-intensity Grazing Intensity Quick edit Valid 2023-11-29 LCH-grazing-intensity
LCH-grazing-lifestock-per-ha Grazing Lifestock per ha Quick edit Valid 2023-11-29 LCH-grazing-lifestock-per-ha
LCH-grazing-present-intensity-unspecified Grazing Present, Intensity Unspecified Quick edit Valid 2023-11-29 LCH-grazing-present-intensity-unspecified
LCH-grazing-routine Grazing Routine Quick edit Valid 2023-11-29 LCH-grazing-routine
LCH-green-manure Green Manure Quick edit Valid 2023-11-29 LCH-green-manure
LCH-greened-roof Greened Roof Quick edit Valid 2023-11-29 LCH-greened-roof
LCH-greenhouse Greenhouse Under Glass or Foil Quick edit Valid 2023-11-29 LCH-greenhouse
LCH-groundwater Groundwater Quick edit Valid 2023-11-29 LCH-groundwater
LCH-groundwater-source Groundwater Quick edit Valid 2023-11-29 LCH-groundwater-source
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?