University of Dundee View Homepage


Ontology type: skos:Concept     


Concept Info

NAME

University of Dundee

DESCRIPTION

The IDR makes datasets that have never previously been accessible publicly available, allowing the community to search, view, mine and even process and analyze large, complex, multidimensional life sciences image data.

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    ], 
    "type": [
      "http://www.w3.org/2004/02/skos/core#ConceptScheme"
    ]
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/ontologies/data-repositories/154'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/ontologies/data-repositories/154'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/ontologies/data-repositories/154'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/ontologies/data-repositories/154'


 

This table displays all metadata directly associated to this object as RDF triples.

189 TRIPLES      11 PREDICATES      13 URIs      5 LITERALS

Subject Predicate Object
1 sg:ontologies/data-repositories/154 schema:about sg:ontologies/subjects/high-throughput-screening
2 sg:ontologies/subjects/imaging
3 sg:ontologies/subjects/pathology
4 schema:url http://idr-demo.openmicroscopy.org/
5 sgo:license sg:explorer/license/
6 sgo:sdDataset onto_dr
7 rdf:type skos:Concept
8 rdfs:label University of Dundee
9 skos:altLabel IDR
10 skos:definition The IDR makes datasets that have never previously been accessible publicly available, allowing the community to search, view, mine and even process and analyze large, complex, multidimensional life sciences image data.
11 skos:inScheme sg:ontologies/data-repositories/
12 skos:prefLabel University of Dundee
13 skos:topConceptOf sg:ontologies/data-repositories/
14 sg:ontologies/data-repositories/ dcterms:description The Data Repositories taxonomy is a categorization of research data repositories that have been evaluated by the Scientific Data team as being suitable for archiving research data in conjunction with a Springer Nature publication.
15 dcterms:title Data Repositories Taxonomy
16 sgo:sdDataset onto_dr
17 rdf:type skos:ConceptScheme
18 owl:versionInfo 0.0.5
19 skos:hasTopConcept sg:ontologies/data-repositories/1
20 sg:ontologies/data-repositories/10
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130 sg:ontologies/subjects/high-throughput-screening sgo:sdDataset onto_subjects
131 rdf:type npg:Subject
132 skos:Concept
133 rdfs:label High-throughput screening
134 skos:altLabel High Throughput Biological Assays
135 High Throughput Chemical Assays
136 High Throughput Screening Assays
137 High Throughput Screening Methods
138 High-Throughput Biological Assay
139 High-Throughput Biological Assays
140 High-Throughput Chemical Assay
141 High-Throughput Chemical Assays
142 High-Throughput Screening Assay
143 High-Throughput Screening Assays
144 High-Throughput Screening Method
145 High-Throughput Screening Methods
146 skos:broader sg:ontologies/subjects/biological-techniques
147 sg:ontologies/subjects/computational-biology-and-bioinformatics
148 sg:ontologies/subjects/cytological-techniques
149 sg:ontologies/subjects/drug-screening
150 skos:definition High-throughput screening methods provide efficient measurement of the effects of agents or conditions in biological or chemical assays. These methods often require robotics, imaging and computation to increase the scale and speed of assays.
151 skos:inScheme sg:ontologies/subjects/
152 skos:prefLabel High-throughput screening
153 sg:ontologies/subjects/imaging sgo:sdDataset onto_subjects
154 rdf:type npg:Subject
155 skos:Concept
156 rdfs:label Imaging
157 skos:broader sg:ontologies/subjects/biological-techniques
158 skos:definition Imaging is the visual representation of a subject. Imaging methods may provide a two-dimensional depiction of a surface or a three-dimensional reconstruction, they may use special probes or modalities to track specific molecular features, and they may use invasive or non-invasive means to visualize the internal components of a subject.
159 skos:inScheme sg:ontologies/subjects/
160 skos:narrower sg:ontologies/subjects/3d-reconstruction
161 sg:ontologies/subjects/bioluminescence-imaging
162 sg:ontologies/subjects/diffusion-tensor-imaging
163 sg:ontologies/subjects/endoscopy
164 sg:ontologies/subjects/fluorescence-imaging
165 sg:ontologies/subjects/functional-magnetic-resonance-imaging
166 sg:ontologies/subjects/magnetic-resonance-imaging
167 sg:ontologies/subjects/magnetoencephalography
168 sg:ontologies/subjects/molecular-imaging
169 sg:ontologies/subjects/optical-imaging
170 sg:ontologies/subjects/positron-emission-tomography
171 sg:ontologies/subjects/time-lapse-imaging
172 sg:ontologies/subjects/ultrasound
173 sg:ontologies/subjects/viral-tracing
174 sg:ontologies/subjects/x-ray-tomography
175 skos:prefLabel Imaging
176 sg:ontologies/subjects/pathology sgo:sdDataset onto_subjects
177 rdf:type npg:Subject
178 skos:Concept
179 rdfs:label Pathology
180 skos:altLabel Pathologies
181 skos:broader sg:ontologies/subjects/diagnosis
182 skos:definition Pathology is the precise study of the causes and consequences of a disease. The two major components of pathology are anatomical studies of structure and function at levels ranging from the whole organism to the subcellular level, and laboratory techniques and procedures to analyse bodily fluids.
183 skos:inScheme sg:ontologies/subjects/
184 skos:prefLabel Pathology
185 skos:Concept sgo:sdDataset for_codes
186 rdf:type rdfs:Class
187 rdfs:Resource
188 rdfs:subClassOf rdfs:Resource
189 skos:Concept
 




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