Data · dataset · 2022
Instantiation example of the user centric metadata model - REPHY network
Listed in DataSuds
This example of the proposed use centric metadata model is constructed using the data of Observation and Monitoring Network for Phytoplankton and Hydrology in coastal waters.
Description
The dataset [Cellule d'Administration Quadrige², 2017] contains several files of distinct parameters measured between 2006 and 2016 at the French surveillance sites (called REPHY network). However, to give the proof-of-concept illustration of the proposed model, only observations related to the concentration measurements of Pheopigment (i.e. a pigment which is the degradation product of algal chlorophyll pigments and commonly formed during and after marine phytoplankton blooms [Roy et al., 2011] is discussed in the provided Turtle script.
Based on our model parameters, Ocean is defined as the Ultimate Feature of Interest. The concept “Ocean” is enriched with spatial information i.e. Mediterranean Sea that is further semantically linked with the Atlantic Ocean. Also, the observable property is defined using the CPM ontology, which links the concept “Pigments” to Object of Interest, whereas, Biomass to the Property of Object of Interest
Links
Where it is published
- Dataverse dataset page dataverse.ird.fr/dataset.xhtml?persistentId=doi%3A10.23708%2FG4OM43 ↗
landing page · from dataverse ird fr
- DOI doi.org/10.23708/g4om43 ↗
DOI / persistent id · from dataverse ird fr
Catalogue records · 1
- Dataverse API dataverse.ird.fr/api/datasets/:persistentId/?persistentId=doi%3A10.23708%2FG4OM… ↗
metadata API · from dataverse ird fr
Topics
- Stated by source
- Computer and Information Science · Earth and Environmental Sciences
- From keywords
- Earth & Environmental Science
- Inferred from text
- Information systems 73%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataSuds | doi:10.23708/G4OM43 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4609 | enrichment · dataverse ird fr | taxonomy-embedding@1.1.0 | title+keywords+description (73%) |
| concepts[field].dataverse_subject:computer-and-information-science | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| created_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| description | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /description |
| publication_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| title | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /name |
| updated_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| version_label | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 |