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SuperCon RDF Ver. 1.0
Description/Abstract:
"SuperCon RDF" is an RDF version of the datasheets published in this collection based on the SuperCon Ontology (https://doi.org/10.48505/...
Keyword:
Ontology
,
RDF
,
SPARQL
,
Semantic Web
,
SuperCon
, and
Superconductors
Resource Type:
Dataset
Data origin:
informatics and data science
Author:
Masashi Ishii
Date Uploaded:
11/04/2023
Date Modified:
19/07/2023
SuperCon Ontology
Description/Abstract:
"SuperCon Ontology" is the basic conceptual structure of SuperCon RDF (https://doi.org/10.48505/nims.3872), which is published in this co...
Keyword:
Ontology
,
RDF
,
SPARQL
,
Semantic Web
,
SuperCon
, and
Superconductors
Resource Type:
Dataset
Data origin:
informatics and data science
Author:
Masashi Ishii
Date Uploaded:
11/04/2023
MDR SuperCon Datasheet Ver.220808
Description/Abstract:
MDR SuperCon Datasheet is a re-edited datasheet of SuperCon, a superconductivity database that was originally published as the MatNavi da...
Keyword:
Metallic
,
Organic
,
Oxide
,
SuperCon
,
Superconductors
, and
Tc
Resource Type:
Dataset
Data origin:
experiments
Date Uploaded:
15/12/2022
Date Modified:
16/12/2022
MDR SuperCon Datasheet Readme
Description/Abstract:
The readme (SuperCon_ReadMe_en.pdf) describes the contents of the SuperCon datasheet in detail. It references the functionality of the Su...
Keyword:
Metallic
,
Organic
,
Oxide
,
Readme
,
SuperCon
, and
Superconductors
Resource Type:
Other
Date Uploaded:
14/12/2022
Date Modified:
16/12/2022
MDR SuperCon Datasheet
User Collection
Description/Abstract:
The MDR SuperCon Datasheet is a datasheet re-edited from SuperCon, which was originally published as the MatNavi database. To use it, ple...
Keyword:
Metallic
,
SuperCon
,
Superconductors
,
Oxide
,
Organic
, and
Tc
Resource Type:
Dataset
License:
Creative Commons BY Attribution 4.0 International
Date Created:
2022
0
Collections
2
Works
Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature
Description/Abstract:
The automatic collection of materials information from research papers using Natural Language Processing (NLP) is highly required for rap...
Keyword:
Machine Learning
,
Material Informatics
,
NLP
,
Superconductors
, and
TDM
Resource Type:
Conference Proceeding
Author:
FOPPIANO, Luca
,
Thaer, M. Dieb
,
SUZUKI, Akira
, and
ISHII, Masashi
Date Uploaded:
05/02/2020
Date Modified:
02/02/2022
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3
Publication
2
Collection
1
Collection
MDR SuperCon Datasheet
2
Keyword
Superconductors
[remove]
6
SuperCon
5
Metallic
3
Organic
3
Oxide
3
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Language
English
1
Publisher
National Institute for Materials Science
3
Resource type
Dataset
4
Conference Proceeding
1
Other
1
Visibility
open
6
Rights Statement Sim
CC-BY-4.0
2
Creative Commons BY Attribution 4.0 International
2
In Copyright
1
Data origin
informatics and data science
2
experiments
1
Date
2019
1
Author
Masashi Ishii
2
FOPPIANO, Luca
1
ISHII, Masashi
1
SUZUKI, Akira
1
Thaer, M. Dieb
1
Editor
Materials Database Group
2
