NOMAD

NOMAD
Share data, not files.

NOMAD lets you extract and publish structured data with rich metadata. It provides a unified way to Find, Access, Interoperate with, and Reuse millions of FAIR data from different codes and sources.

Features

What is NOMAD?

NOMAD is a free web-service that lets you share your data or use comprehensive data that others provide. You can use NOMAD to organize, analyze, share, and publish your materials science data, as well as explore, download, and analyze your colleagues' data.

Drag & Drop

NOMAD organizes your files as you would on your hard-drive. Upload file-by-file or zip and upload whole directory structures.

Get a DOI

NOMAD allows you to publish and archive your data for free. Assign a DOI to uploaded datasets and reference your papers.

You Control Your Data

Not ready to publish? Organize data and collaborate in private first, or use your own NOMAD Oasis for an even higher level of privacy.

FAIR data

NOMAD extracts machine-actionable data from over 60+ formats and codes. All data accessible and prepared for analysis.

All data, one source

NOMAD is the largest database of its kind, combining data from popular sources like the Materials Project, AFLOW, and OQMD.

Ready to use Tools

Run Jupyter and other tools directly on NOMAD. Access your data and publish your Jupyter notebooks.

FAIR data

Why is NOMAD different?

NOMAD is not about sharing files, it is about sharing data and making data FAIR. All data is organized in well-defined structures that are described by a formal schema. This is the basis for searching (Findable), using APIs (Accessible), converting data (Interoperable), and running tools (Re-usable).

Structured data and Metainfo

All data in NOMAD follows a schema that defines how the data is hierarchically structured and cross-referenced. This schema is called the NOMAD Metainfo. It defines a general domain-independent super structure, as well as highly detailed, specialized data from specific methods, tools, and programs.

NOMAD's parsers automatically structure your data
You can extend the existing NOMAD schema
All data are hierarchically organized and connected

Analysis tools

Since all data is uniformly organized, you can use existing tools or build your tools own tools to analyze data from various sources. The NOMAD Remote Tools Hub (NORTH) allows you to run containerized tools and Jupyter notebooks directly on your data.

Use JupyterLab to access and modify files in NOMAD
Run predefined notebooks for machine learning in the AI Toolkit
All data is available via API

Video tutorials

Getting started

Our short YouTube tutorials provide specific instructions on how to use the core functionality of NOMAD.

Publish

Learn how to upload data, add more metadata, create datasets, publish, and get a DOI.

Explore

Learn how to use NOMAD's extensive search interface to identify interesting data.

Use APIs

Learn how to use NOMAD's API to access and work with data programatically.

Try and test

Other NOMAD versions

In addition to the official NOMAD version, we operate other installations running different NOMAD versions. You can try features which are currently being developed or have an empty test sandbox, or access older versions of NOMAD.

Beta

This installation runs the newest version of the NOMAD software and uses the official NOMAD data. This installation is called "beta" or "staging".

Developmental features activated
Shows the actual NOMAD data
Frequently updated

Test

This installation runs the official released version of the NOMAD software, but on data that is routinely wiped.

Official NOMAD software
Only contains test data
Can be used for testing

Legacy

This installation runs an old version of NOMAD (v0). Newer versions use a different API that is incompatible.

Runs The old v0 NOMAD version
Frozen, data up to end of 2021
Offers the legacy NOMAD API