def-au-asls-land-surface
Machine-readable representation of the classifiers described in chapter 7 Land Surface, by R.C. McDonald, R.F. Isbell and J.G. Speight, in Australian soil and land survey field handbook (3rd edn)
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.6%) to scientific vocabulary
Repository
Machine-readable representation of the classifiers described in chapter 7 Land Surface, by R.C. McDonald, R.F. Isbell and J.G. Speight, in Australian soil and land survey field handbook (3rd edn)
Basic Info
- Host: GitHub
- Owner: ANZSoilData
- License: cc0-1.0
- Default Branch: master
- Size: 40.2 MB
Statistics
- Stars: 0
- Watchers: 5
- Forks: 0
- Open Issues: 0
- Releases: 2
Metadata Files
README.md
Cite as:
def-au-asls-land-surface
Preparation and maintenance of a machine-readable representation of the classifiers described in chapter 7 Land Surface, by R.C. McDonald, R.F. Isbell and J.G. Speight, in Australian soil and land survey field handbook (3rd edn)
Preparing the vocabulary for loading in RVA
All collection members must have an rdf:type, else they won't render in the RVA browse view.
All resources must have an rdfs:label or skos:prefLabel, else they won't have nice titles in the RVA browse view.
Since ASLS Land Surface imports some concepts and collections from ASLS Substrate, the rdf:type and skos:prefLabel for the linked elements must be available locally, not just through the owl:imports.
Run this SPARQL prior to loading:
INSERT { ?m a ?t ; skos:prefLabel ?l .}
WHERE {
?c skos:member ?m .
?m a ?t ;
skos:prefLabel ?l .
}
Contact:
Linda Gregory linda.gregory@csiro.au
Simon Cox simon.cox@csiro.au
Owner
- Name: Australia and New Zealand Soil Data Standards
- Login: ANZSoilData
- Kind: organization
- Location: Australia; New Zealand
- Repositories: 15
- Profile: https://github.com/ANZSoilData
Collaboration site for the development of data and encoding standards for Australian and New Zealand soil and landscape observations and descriptions.
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Machine readable representation (Resource Description format, RDF) of the classifiers for Land Surface - the Australian Soil and Land Survey Field Handbook (3rd edn)
message: >-
If you use this software, please cite it using the
metadata from this file.
type: dataset
authors:
- given-names: Simon
family-names: Cox
orcid: 'https://orcid.org/0000-0002-3884-3420'
repository-code: 'https://github.com/ANZSoilData/def-au-asls-land-surface'
repository: 'https://vocabs.ardc.edu.au'
abstract: >-
Machine-readable representation of a the classifiers for Land Surface - from Chapter 7 of the Australian soil and land survey field handbook (3rd edn)
keywords:
- land surface
- linked data
- vocabulary
license: CC-BY-1.0
version: 1.0.1
date-released: '2022-12-16'
GitHub Events
Total
- Release event: 2
- Delete event: 2
- Push event: 5
- Pull request event: 6
- Create event: 5
Last Year
- Release event: 2
- Delete event: 2
- Push event: 5
- Pull request event: 6
- Create event: 5