Advanced Cooperative Arctic Data and Information Service

The NSF Arctic Data Center is a data and software repository for research in the Arctic.

arcticdata.io
Advanced Cooperative Arctic Data and Information Service homepage screenshot

About Advanced Cooperative Arctic Data and Information Service

The NSF Arctic Data Center is a data and software repository for NSF Arctic research. It provides open access and long-term preservation of Arctic data.

Users can explore datasets by discipline, submit data, book office hours help with submissions and data discovery, and use openly available training materials. Access does not require login; in-person training is held in Santa Barbara, CA.

Key features

  • Explore Arctic datasets browsable by scientific discipline
  • Submit research data for long-term preservation
  • Book one-on-one help with submissions and data discovery
  • Access platform openly with no login required
  • Training in R, Python, and reproducible research practices
  • Training curricula openly available for self-learning
Best for: Arctic researchers and others who need to find, use, or submit open Arctic research data.
Good for
  • Openly accessible with no login required
  • Supports long-term preservation and reuse of data
  • Training curricula openly available for self-learning
Watch out for
  • In-person training held in Santa Barbara, CA and limited to one scheduled 2027 session

Advanced Cooperative Arctic Data and Information Service at a glance

Official website
arcticdata.io
Type
Dataset
Platforms
Web
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Advanced Cooperative Arctic Data and Information Service FAQ

Do I need to log in to use the data?
No, the platform is openly accessible with no login required.
How can I get help with submitting or finding data?
You can book an office hours session for one-on-one help with submissions, metadata, and data discovery.
Are training materials available outside scheduled courses?
Yes, all course curricula are openly available on the website for self-learning.
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