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
dct:isReplacedBy Quantitative
Released
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08 Oct 2013
dct:replaces Quantitative
Released
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08 Oct 2013
isApplicableToBQE Vocabulary
Released
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15 May 2017
isApplicableToCountry Vocabulary
Released
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07 Oct 2021
isApplicableToWaterBodyCategory Vocabulary
Released
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07 Oct 2021

Add new data elements

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

Vocabulary concepts

314 concepts found, displaying 161 to 180.First56789101112Last
Id Label Status Status Modified Notation
MA-SI Metodologija vrednotenja ekološkega stanja obalnega morja na podlagi makroalg Quick edit Valid 2021-10-07 MA-SI
MASRP Mediterranean Assessment System for Reservoirs Phytoplankton Quick edit Valid 2020-01-07 MASRP
MBf Multimetric Basque index family level Quick edit Valid 2025-10-10 MBf
MDFLD Maximum depth of the redalga Furcellaria lumbricalis distribution Quick edit Valid 2020-01-07 MDFLD
MDIAT Diatom multimetric Quick edit Valid 2020-01-07 MDIAT
MEDOCC Mediterráneo Occidental index Quick edit Valid 2020-01-07 MEDOCC
METI METI Quick edit Valid 2020-01-07 METI
MI-CW-SI Metodologija vrednotenja ekološkega stanja obalnega morja na podlagi bentoških nevretenčarjev Quick edit Valid 2021-10-07 MI-CW-SI
MI-RW-AT Macroinvertebrates in lakes, Austria Quick edit Valid 2024-12-05 MI-RW-AT
MI-RW-AU Assessment of the biological quality elements - part benthic invertebrates [Erhebung der biologischen Qualitätselemente - Teil Makrozoobenthos (Detaillierte MZB-Methode)] Quick edit Deprecated - superseded 2024-12-05 MI-RW-AU
MI-RW-CZ Czech system for ecological status assessment of rivers using benthic macroinvertebrates Quick edit Valid 2021-10-07 MI-RW-CZ
MI-RW-EE Estonian surface water ecological quality assessment – river macroinvertebrates Quick edit Valid 2021-10-07 MI-RW-EE
MI-RW-HU Hungarian Multimetric Macroinvertebrate Index Quick edit Valid 2021-10-07 MI-RW-HU
MI-RW-IE Irish biotic index Quick edit Valid 2021-10-07 MI-RW-IE
MI-RW-RO Assessment method for ecological status of water bodies based on macroinvertebrates Quick edit Valid 2021-10-07 MI-RW-RO
MI-RW-SI Metodologija vrednotenja ekološkega stanja rek z bentoškimi nevretenčarji v Sloveniji Quick edit Valid 2021-10-07 MI-RW-SI
MI-RW-SK Slovak assessment of benthic invertebrates in rivers Quick edit Valid 2021-10-07 MI-RW-SK
MI-TW-PL Macroinvertebrates in transitional waters, Poland Quick edit Valid 2024-12-05 MI-TW-PL
MISA Multimetric Invertebrate Stream Acidification index Quick edit Valid 2020-01-07 MISA
MMIF Multimetric Macroinvertebrate Index Flanders Quick edit Valid 2020-01-07 MMIF
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?