Starrydata — National Institute for Materials Science
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Explore
  • Starrydata2 Web System ↗ Large open database with 200,000+ curves. Register, search, and download data.
  • Sample Explorer ↗ Browse and filter samples by chemical composition.
  • Visualizer ↗ Overview plots covering the entire Starrydata.
  • Explorer 3D ↗ Interactive 3D plots of thermoelectric property distributions.
  • Auto-Summary Viewer ↗ View automatically generated summaries of the Starrydata dataset.
  • StarryDigitizer ↗ Digitize plot images from published papers into numerical data.
Download
  • Latest CSV ↗ Daily per-field CSV
  • Figshare ↗ DOI-fixed snapshots
  • NIMS MDR ↗ Citable frozen snapshots
  • How to cite Papers to cite
Documentation
  • Manual Search, curation, download
  • REST API API endpoints & examples
  • Data schema papers / samples / curves spec
Other MI Tools
  • Crystal Structure Simulator ↗ Simulate and visualize crystal structures
  • Elemental Reactivity Map ↗ Map of reactivity between elements
  • Debye-Scherrer XRD ↗ Generate X-ray diffraction plots
→ View all Resources

Starrydata From Published Graphs to Structured Research Data

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.

Search data → Get datasets →
Research Field Papers Figures Samples Curves
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What is Starrydata

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.

A Large-Scale Database

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.

Go to Starrydata2 Web System →

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Resources

Pick tools by purpose to work with Starrydata data.

What do you want to do?

Starrydata2 Web System

Register & search data

Register data from published plots, or search and browse existing samples, papers, and property curves

Datasets

Get datasets

Download CSV and per-field datasets

Visualizer

Visualize data

Explore composition and property spaces

Sample Explorer

Explore by composition

Filter samples by chemical composition

Resources

Explore all tools and documentation

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.

→

Get Involved

Use the data, contribute data, partner on research, or support the project — there are many ways to get involved.

USE

Use the data

Everything you need to use Starrydata — web system, manual, Figshare snapshots and GitHub datasets, in one place.

Use the data →
COLLABORATE

Research & funding partnership

We welcome inquiries for joint research. Let's advance Materials Informatics together.

Contact us →
STUDENTS

Research & funding partnership

ーーーーーーー.

Contact us →

Research

Seven research fields powering data curation and Materials Informatics studies.

01

Thermoelectric

熱電材料
02

Battery

電池材料
03

Magnetic

磁性材料
04

Dielectric

誘電材料
05

Condensed Matter

固体物性
06

Piezoelectric

圧電材料
07

Hypermaterial

準結晶
+

View all

12 fields

Featured Publications

Top 3 of 8 project papers from the Starrydata team. 184 external publications cite our work.

Paper2025

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

Paper2025

Starrydata: from published plots to shared materials data

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

Paper2025

Development of LLM-assisted data curation tools for the Starrydata materials science database

Yukari Katsura, Tomoya Mato, Yu Takada, Eiji Koyama, Dewi Yana, Atsumi Tanaka, Masaya Kumagai

View all publications →

News

  • 2023/09/05
    更新情報 アップデート

    データセットの仕様を刷新しました

    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…

  • 2022/04/20

    Starrydataのデータ収集プロジェクト一覧

    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…

  • 2022/03/17

    Starrydataプロジェクトとの共同研究

    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…

  • 2022/01/04

    研究紹介HPの一覧(Y. Katsura Ph.D.)

    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…

  • 2021/12/29

    Starrydataプロジェクトへの思い

    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

View all news →

Team

Starrydata runs as a dedicated team of researchers and engineers in materials science, data science, and web development.

Yukari Katsura

Yukari Katsura

Project Leader
Masaya Kumagai

Masaya Kumagai

Web Development
Tomoya Mato

Tomoya Mato

Web Development
Atsumi Tanaka

Atsumi Tanaka

Project Operations (Research Administrator)
Dewi Yana

Dewi Yana

Data Analyst
View all members →

Funders and Partners

NIMS
RIKEN AIP
JST
Univ. of Tsukuba
SAKURA internet
★ Starrydata

Open experimental data from materials science literature

About
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Research
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