Data-driven analysis and visualization of dielectric properties curated from scientific literature
Tomoki Murata, Naoto Saito, Eiji Koyama, T. Phuong, Ryusuke Misawa, Satoshi Yokomizo, Tomoya Mato, Yu Takada, S. Hirose, Yukari Katsura
Centered on 230,000+ experimental data points extracted from paper plots — complemented by crystal structure simulators, elemental reactivity maps, and other open tools for Materials Informatics research.
| Research Field | Papers | Figures | Samples | Curves |
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Starrydata is an open data project that extracts and structures experimental data from graphs in inorganic materials science papers, making them freely reusable for researchers worldwide.
Starrydata is a federation of research projects that share a single database. Each project curates experimental data from its field's literature into a common repository, together forming a large open dataset that anyone can reuse.
Patterns invisible in any single paper emerge when tens of thousands of samples and curves can be explored together.
Performance distributions across material families, composition–property correlations, outliers and unexplored composition space, and training / benchmark datasets for machine learning — these are the analyses that only a large-scale database makes possible.
Pick tools by purpose to work with Starrydata data.
Register data from published plots, or search and browse existing samples, papers, and property curves
Download CSV and per-field datasets
Explore composition and property spaces
Filter samples by chemical composition
Starrydata2 Web System (register, search, download data), plus visualization and composition-search tools (Visualizer / Sample Explorer / Explorer 3D), Figshare / NIMS MDR snapshots, and the manual, REST API reference, and citation guide — organized by purpose.
Use the data, contribute data, partner on research, or support the project — there are many ways to get involved.
Everything you need to use Starrydata — web system, manual, Figshare snapshots and GitHub datasets, in one place.
Use the data →We welcome inquiries for joint research. Let's advance Materials Informatics together.
Contact us →Seven research fields powering data curation and Materials Informatics studies.
Top 3 of 8 project papers from the Starrydata team. 184 external publications cite our work.
Tomoki Murata, Naoto Saito, Eiji Koyama, T. Phuong, Ryusuke Misawa, Satoshi Yokomizo, Tomoya Mato, Yu Takada, S. Hirose, Yukari Katsura
Yukari Katsura, Masaya Kumagai, Tomoya Mato, Yu Takada, Yuki Ando, Erina Fujita, Fumikazu Hosono, Eiji Koyama, Farhan Mudasar, T. Phuong, Naoto Saito, Yoshihiro Sakamoto, Atsumi Tanaka, Dewi Yana, Kaoru Kimura, Koji Tsuda, Masahiko Demura
Yukari Katsura, Tomoya Mato, Yu Takada, Eiji Koyama, Dewi Yana, Atsumi Tanaka, Masaya Kumagai
Starrydataのデータセットのスキーマを刷新したので共有します。 過去のスキーマ(Version 1.0、以下v1)のデータセットはGithub、新しいスキーマ(Version 2.0、以下v2…
Starrydataプロジェクトでは、論文中のグラフから実験データを抽出して公開しています。このとき、論文の中のすべてのグラフを集めようとすると膨大な時間がかかってしまうので、研究プロジェクトの目的に…
Materials Informatics(MI)はデータ科学を活用して新材料を開発するという 新しい研究分野です。そんな中、私達のStarrydataプロジェクトに関心を持っていただき、共同研究を申…
物質・材料研究機構(NIMS)主任研究員の桂ゆかりです。Starrydataと名付けた論文データ収集プロジェクトや、CRESTの大規模新物質探索プロジェクトなどいろいろな研究活動をしておりますが、情報…
Starrydataプロジェクトへの思いについて、noteに投稿しました。 https://note.com/yukarikatsura/n/n7191a553d3e4
Starrydata runs as a dedicated team of researchers and engineers in materials science, data science, and web development.
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