View studies in the NIH Metabolomics Data Repository on the Metabolomics Workbench containing 20 or more detected lipids. One can browse, search, download and analyze lipidomics data from approximately 500 studies involving over 40 different species in this public repository.
Browse, search, analyze and download lipid_studies.
Upload and Manage Experimental Data via the Metabolomics Workbench
The NIH Metabolomics Consortium's Data Repository and Coordinating Center (DRCC) accepts metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data.
An option to keep the data private until a user-specified \"embargo\" data is available at the time of upload; researchers are notified prior to data being released to the public; and the embargo data may be modified by e-mailing the DRCC.
Requirements for depositing data via the Metabolomics Workbench
- Register for a Metabolomics Workbench account and request authorization to upload data - either by checking the "I wish to be authorized to upload data" box on the registration form or e-mailing the DRCC at email@example.com.
- Log in to the Metabolomics Workbench.
- Use the online tool to map current metabolite identifications (where possible) to the corresponding RefMet names (strongly encouraged, but not strictly required).
- Use Metabolomics Workbench interfaces to register your study; submit metadata and processed data; and upload raw data and any supplementary material.
Accessing and reviewing deposited data/metadata on the Metabolomics Workbench
After the DRCC has processed your dataset (typically less than 30 days), you will be notified and given access to view your study on a private website. After you have reviewed your dataset and communicated with the DRCC, the study will be placed on the public Metabolomics Workbench website (subject to its embargo date, if any).
Experimental data (lipidomic and transcriptomic measurements) generated by the LIPID MAPS® Consortium between 2003 and 2014, including:
- LIPID MAPS® human Non-alcoholic fatty liver disease Study
- Lipidomics studies on human plasma
- Lipidomics studies on mouse macrophages
- Subcellular fractionation studies on macrophages
View LIPID MAPS® Experimental data