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 181 to 200.First678910111213Last
Id Label Status Status Modified Notation
LCH-common-wheat-and-spelt Common Wheat and Spelt Quick edit Valid 2023-11-29 LCH-common-wheat-and-spelt
LCH-concrete Concrete Quick edit Valid 2023-11-29 LCH-concrete
LCH-constructed-industrial-and-other-artificial-habitats Constructed, Industrial and Other Artificial Habitats Quick edit Valid 2023-11-29 LCH-constructed-industrial-and-other-artificial-habitats
LCH-contamination-or-pollution Contamination Or Pollution Quick edit Valid 2023-11-29 LCH-contamination-or-pollution
LCH-continuous-cover-forestry Continuous Cover Forestry Quick edit Valid 2023-11-29 LCH-continuous-cover-forestry
LCH-controlled-regulated-heavily-modified-water-body Controlled, Regulated, Heavily Modified Water Body Quick edit Valid 2023-11-29 LCH-controlled-regulated-heavily-modified-water-body
LCH-conventional-farming Conventional Farming Quick edit Valid 2023-11-29 LCH-conventional-farming
LCH-copper Copper Quick edit Valid 2023-11-29 LCH-copper
LCH-coppice-low-forest Coppice, Low Forest Quick edit Valid 2023-11-29 LCH-coppice-low-forest
LCH-coppice-standard-combination Coppice-Standard Combination Quick edit Valid 2023-11-29 LCH-coppice-standard-combination
LCH-coppicing Coppicing Quick edit Valid 2023-11-29 LCH-coppicing
LCH-cork Cork Quick edit Valid 2023-11-29 LCH-cork
LCH-cornel Cornel Quick edit Valid 2023-11-29 LCH-cornel
LCH-corylus Corylus Quick edit Valid 2023-11-29 LCH-corylus
LCH-cosmic Cosmic Quick edit Valid 2023-11-29 LCH-cosmic
LCH-cotton Cotton Quick edit Valid 2023-11-29 LCH-cotton
LCH-countable-occurrence Countable Occurrence Quick edit Valid 2023-11-29 LCH-countable-occurrence
LCH-countable-occurrence-value-from Countable Occurrence Value From Quick edit Valid 2023-11-29 LCH-countable-occurrence-value-from
LCH-countable-occurrence-value-to Countable Occurrence Value To Quick edit Valid 2023-11-29 LCH-countable-occurrence-value-to
LCH-cover-crop Cover Crop Quick edit Valid 2023-11-29 LCH-cover-crop
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?