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Supercon 2 Dataset
Description/Abstract:
The automatic extraction of materials and related properties from the scientific literature is gaining attention in data-driven materials...
Keyword:
tdm
,
materials science
,
superconductors
,
machine learning
, and
dataset
Resource Type:
Dataset
Data origin:
informatics and data science
Author:
Luca Foppiano
Date Uploaded:
11/10/2022
Date Modified:
10/11/2022
MDR metadata list
Description/Abstract:
MDR stores and manages materials data using a metadata set implemented by referring to the DICE common message format schema, used for co...
Keyword:
Materials informatics
,
Metadata
, and
Data repository
Resource Type:
Software or Program Code
Data origin:
informatics and data science
Date Uploaded:
12/05/2021
Date Modified:
26/11/2021
DICE common message format schema
Description/Abstract:
We have defined a common metadata schema for research dataset distribution/exchange/storage, with features for not only system-to-system ...
Keyword:
Materials informatics
,
Data management
,
System architecture
, and
Metadata
Resource Type:
Software or Program Code
Data origin:
informatics and data science
Date Uploaded:
12/05/2021
Date Modified:
26/11/2021
SuperMat: Construction of a linked annotated dataset from superconductors-related publications
Description/Abstract:
A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) proc...
Keyword:
machine learning
,
superconductors
, and
tdm
Resource Type:
Dataset
Data origin:
informatics and data science
Author:
ROMARY, Laurent
,
ESPARZA, Miren
,
TERASHIMA, Kensei
,
IWASAKI, Suguru
,
MENG, Yan
,
SUZUKI, Akira
,
CASTRO, Pedro
,
FOPPIANO, Luca
,
UZUKI, Azusa
,
TAKANO, Yoshihiko
, and
DIEB, Sae
Date Uploaded:
07/01/2021
Date Modified:
14/10/2022
Machine extraction of polymer data from tables using XML versions of scientific articles
Description/Abstract:
In this study, we examined machine extraction of polymer data from tables in scientific articles. The extraction system consists of five ...
Keyword:
XML
,
informatics
,
machine extraction
,
polymer data
, and
table
Resource Type:
Dataset
Data origin:
informatics and data science
Author:
MATSUMOTO, Yuji
,
OKA, Hiroyuki
,
SHINDO, Hiroyuki
,
YOSHIZAWA, Atsushi
, and
ISHII, Masashi
Date Modified:
25/02/2021
Leveraging Segmentation of Physical Units through a Newly Open Source Corpus
Description/Abstract:
The identification of physical measurements is a recurrent need in materials informatics (MI). For example, the extraction of superconduc...
Resource Type:
Dataset
Data origin:
informatics and data science
Author:
ISHII, Masashi
,
FOPPIANO, Luca
,
TANIFUJI, Mikiko
,
DIEB M. Thear
, and
SUZUKI, Akira
Date Uploaded:
25/10/2019
Date Modified:
15/06/2020
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Dataset
6
Keyword
Materials informatics
2
Metadata
2
machine learning
2
superconductors
2
tdm
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Language
English
1
Japanese
1
Publisher
National Institute for Materials Science
2
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4
Software or Program Code
2
Visibility
open
6
Rights Statement Sim
Creative Commons BY Attribution 4.0 International
2
Data origin
informatics and data science
[remove]
6
Date created
2020
1
2021
1
Date updated
2019
1
2020
1
Date
2019
1
Author
FOPPIANO, Luca
2
ISHII, Masashi
2
SUZUKI, Akira
2
CASTRO, Pedro
1
DIEB M. Thear
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License
https://creativecommons.org/licenses/by-nc-sa/4.0/
1
https://creativecommons.org/licenses/by/4.0/
1