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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25 May 2021
LC_LU_Relevance Fixed values
Released
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29 Aug 2023
parent Quantitative
Released
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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 701 to 720.First3233343536373839Last
Id Label Status Status Modified Notation
LCH-selection-cutting Selection Cutting Quick edit Valid 2023-11-29 LCH-selection-cutting
LCH-self-seeded-succession Self-Seeded Forest Succession Quick edit Valid 2023-11-29 LCH-self-seeded-succession
LCH-semidry Semi-Dry Quick edit Valid 2023-11-29 LCH-semidry
LCH-set-aside-parcel Set Aside Parcel Quick edit Valid 2023-11-29 LCH-set-aside-parcel
LCH-sheep Sheep Quick edit Valid 2023-11-29 LCH-sheep
LCH-shelterwood-cutting Shelterwood Cutting Quick edit Valid 2023-11-29 LCH-shelterwood-cutting
LCH-shifting-cultivation Shifting Cultivation Quick edit Valid 2023-11-29 LCH-shifting-cultivation
LCH-shipyard Shipyard Quick edit Valid 2023-11-29 LCH-shipyard
LCH-short-rotation-coppice-src-plantation Short Rotation Coppice (SRC) Plantation Quick edit Valid 2023-11-29 LCH-short-rotation-coppice-src-plantation
LCH-short-rotation-forestry-srf-plantation Short Rotation Forestry (SRF) Plantation Quick edit Valid 2023-11-29 LCH-short-rotation-forestry-srf-plantation
LCH-shrub-clearance Shrub Clearance Quick edit Valid 2023-11-29 LCH-shrub-clearance
LCH-side-crop Side Crop Quick edit Valid 2023-11-29 LCH-side-crop
LCH-silvicultural-harvest-and-regeneration-method Silvicultural Harvest and Regeneration Method Quick edit Valid 2023-11-29 LCH-silvicultural-harvest-and-regeneration-method
LCH-silvicultural-measure Silvicultural Measure Quick edit Valid 2023-11-29 LCH-silvicultural-measure
LCH-single-blocks-discontinuous Single Blocks, Discontinuous Quick edit Valid 2023-11-29 LCH-single-blocks-discontinuous
LCH-slate Slate Quick edit Valid 2023-11-29 LCH-slate
LCH-snow-avalanche Snow Avalanche Quick edit Valid 2023-11-29 LCH-snow-avalanche
LCH-snow-characteristics Snow Characteristics Quick edit Valid 2023-11-29 LCH-snow-characteristics
LCH-snow-height Snow Height Quick edit Valid 2023-11-29 LCH-snow-height
LCH-snowfarming-area Snow Farming Area Quick edit Valid 2023-11-29 LCH-snowfarming-area
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?