Index Catalog // MDR

Description/Abstract:: This MDR XAFS DB is an integrated database of XAFS spectral data provided by the participating institutions in this project. The metadata...
Keyword:: collection - MDR XAFS DB and XAFS
Resource Type:: Other
Data origin:: other
Author:: ISHII, Masashi and SHIMIZU, Miharu
Date Uploaded:: 14/06/2022
Date Modified:: 19/06/2023

Description/Abstract:: NIMSでは材料データリポジトリ (MDR) を2020年より運用し、研究データセットの登録・公開を推進している。各データセットが有効に利活用・引用されるように検討しながら登録方法やメタデータを定め、DataCite DOIを付与している。ある研究コミュニティによる1700...
Keyword:: data repository, FAIR, DOI, data platform, and open science
Resource Type:: Presentation
Author:: MATSUDA, Asahiko, TANABE, Kosuke, ISHII, Masashi, ONODERA, Chie, HIROSAWA, Chieko, KUWAJIMA, Isao, KADOHIRA, Takuya, and TANIFUJI, Mikiko
Date Uploaded:: 08/06/2022
Date Modified:: 08/06/2022

Description/Abstract:: We present Grobid-quantities, an open-source application for extracting and normalising measurements from scientific and patent literatur...
Keyword:: machine learning, physical quantities, and tdm
Resource Type:: Conference Proceeding
Author:: FOPPIANO, Luca, ROMARY, Laurent, ISHII, Masashi, and TANIFUJI, Mikiko
Journal:: DocEng '19: Proceedings of the ACM Symposium on Document Engineering 2019
Date Uploaded:: 15/01/2021
Date Modified:: 01/07/2021

Description/Abstract:: A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) pro...
Keyword:: annotation, annotation guidelines, dataset, superconductors, and tdm
Resource Type:: Article
Author:: FOPPIANO, Luca, DIEB, Sae, SUZUKI, Akira, BAPTISTA DE CASTRO, Pedro, IWASAKI, Suguru, UZUKI, Azusa, ESPARZA ECHEVARRIA, Miren Garbine, MENG, Yan, TERASHIMA, Kensei, TAKANO, Yoshihiko, and ISHII, Masashi
Date Uploaded:: 07/01/2021
Date Modified:: 01/07/2021

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:: YOSHIZAWA, Atsushi, OKA, Hiroyuki, MATSUMOTO, Yuji, ISHII, Masashi, and SHINDO, Hiroyuki
Date Modified:: 25/02/2021

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

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:: FOPPIANO, Luca, TANIFUJI, Mikiko, ISHII, Masashi, DIEB M. Thear, and SUZUKI, Akira
Date Uploaded:: 25/10/2019
Date Modified:: 15/06/2020

Resource Type:: Presentation
Author:: TANIFUJI, Mikiko, ISHII, Masashi, ROMARY, Laurent, and FOPPIANO, Luca
Date Uploaded:: 18/10/2019
Date Modified:: 15/06/2020

Description/Abstract:: The identification of physical measurements is a recurrent task in material informatics (MI). Quantities and units are contained in unstr...
Keyword:: measurements, physical quantities, quantities, and segmentation
Resource Type:: Presentation
Author:: SUZUKI, Akira, TANIFUJI, Mikiko, DIEB M. Thear, ISHII, Masashi, and FOPPIANO, Luca
Date Uploaded:: 18/10/2019
Date Modified:: 15/06/2020

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