Request to Store Non-ESS Project Data in ESS-DIVE
ESS-DIVE is the DOE's Environmental Systems Science (ESS) program's central data repository. All data generated by a project funded through the ESS program is automatically authorized to be published on ESS-DIVE.

If your data is not generated through ESS program funding, you will need approval to store this data on ESS-DIVE. Please fill out this form to request access to store data on ESS-DIVE. Your request will be reviewed by the ESS program managers and it will be evaluated based on whether the project data is (a) relevant to the ESS mission and (b) appropriate to store on ESS-DIVE. Please provide as much detail as you can.

Data storage requests can take 1-2 weeks to process, we recommend allowing time for this step in your data management plan.

To find out if your project is an authorized ESS project, please visit ESS-DIVE's project list: https://data.ess-dive.lbl.gov/projects. 

If your project is on the list, fill out the New Data Contributor Form (https://bit.ly/ess-dive-new-contributor) to get started. For more information, read through our new user documentation (https://docs.ess-dive.lbl.gov/new-user-registration).
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Email *
Your Name *
PI Name *
The Project PI (or lead PI) is the individual responsible for the preparation, conduct, and administration of the research grant for your affiliated project(s).
PI Email *
PI institution at time of award *
Funding source for the data you wish to store (Agency and area/office) *
If your project is funded by DOE BER, specify which division and program is providing the funding (e.g. EESSD, ESS)
Project or Program that generated the data *
Status of project or program that generated the data *
Do you agree to the ESS-DIVE Terms of Use? *
Link to ESS-DIVE Terms of Use: https://ess-dive.lbl.gov/about/terms/
Reason why you believe that this data should be stored in ESS-DIVE. Include a statement on how these data are relevant to the ESS program. *
Description of the data including data type, size, and number of data packages. For large datasets, mention if it would be possible to store a subset of the data that is of higher scientific value *
A copy of your responses will be emailed to the address you provided.
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