Spectral Database for Organic Compounds

Japan's free SDBS provides spectral records for organic compounds, including NMR, mass spectrometry, ESR, and infrared data.

sdbs.db.aist.go.jp
Spectral Database for Organic Compounds homepage screenshot

About Spectral Database for Organic Compounds

Japan's free SDBS provides spectral records for organic compounds, including NMR, mass spectrometry, ESR, and infrared data.

Spectral Database for Organic Compounds is a website in our Open Data & Datasets collection, part of the Research & Data directory. It runs in your web browser, so there's nothing to install.

People usually find Spectral Database for Organic Compounds when they’re looking for open data and datasets.

Not quite what you need? Close alternatives include jPOSTrepo, mzCloud, and RefractiveIndex.INFO — compare them below.

Spectral Database for Organic Compounds at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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Spectral Database for Organic Compounds FAQ

What is Spectral Database for Organic Compounds?
Japan's free SDBS provides spectral records for organic compounds, including NMR, mass spectrometry, ESR, and infrared data.
Can I use Spectral Database for Organic Compounds in my browser?
Yes. Spectral Database for Organic Compounds works on the web, so you can use it from any modern browser without installing anything.
What is Spectral Database for Organic Compounds used for?
People use Spectral Database for Organic Compounds for open data and datasets, within our open data & datasets category.
Is Spectral Database for Organic Compounds working?
sdbs.db.aist.go.jp responded when checked on Oct 6, 2026. Its current availability has not been confirmed.
What are the best alternatives to Spectral Database for Organic Compounds?
Popular alternatives to Spectral Database for Organic Compounds include jPOSTrepo, mzCloud, RefractiveIndex.INFO, and DNA Data Bank of Japan. We list 12+ options matched by topic, tags and features.
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