ESS-DIVE

Deep Insight for Earth Science Data

FAQs

What kind of data does ESS-DIVE store?
ESS-DIVE stores data obtained from observational, experimental, and modeling research that is funded by the DOE under its Subsurface Biogeochemical Research (SBR) and Terrestrial Ecosystem Science (TES) Programs in the Environmental Systems Science (ESS) activity. Key data types include hydrogeology, ecology, geochemistry, biology, climate and geophysics. These data range from molecular to global scales and are collected in environments spanning bedrock to canopy.

When did ESS-DIVE start accepting datasets? 
ESS-DIVE has been accepting datasets since 2017. You can search or upload data through our data portal.

I am going to submit a publication, and the journal requires that the associated data are available at a recognized open repository. Is ESS-DIVE suitable for this purpose, and can I get a data DOI?
ESS-DIVE is a recognized open data repository, and can be used to store data related to publications. We are a member of the DataONE Federation, and are registered with fairsharing.org. We are able to publish data and issue DOIs.

Can I use ESS-DIVE for environmental data that is not funded by the DOE ?
ESS-DIVE is primarily intended to host DOE-sponsored environmental research data. However, we will consider storing certain datasets that are not funded by the DOE, but are of high value to our projects and programs. We expect that any external data submissions conform to ESS-DIVE data and metadata standards. Contact ess-dive-support@lbl.gov if you are interested in storing such data with ESS-DIVE.

What happened to the CDIAC and the data hosted there?
The Carbon Dioxide Information Analysis Center (CDIAC) data archive ceased operation at the end of September 2017. The data collected over 30 years of CDIAC operation transitioned to new archives. ESS-DIVE managed the transition, and hosted an interim version of the CDIAC website and has since transitioned the data into ESS-DIVE. If you have any questions about ESS-DIVE or the data transition, contact ess-dive-support@lbl.gov.

The new archive for the CDIAC data is ESS-DIVE, except in the specific cases mentioned below. The Oceanic Trace Gas data have been transitioned to the new Ocean Carbon Data System (OCADS) operated by NOAA’s National Centers for Environmental Information (NCEI) at https://www.nodc.noaa.gov/ocads/. The Total Carbon Column Observing Network (TCCON) data were transitioned to Cal Tech at http://www.tccon.caltech.edu/. HIAPER Pole-to-Pole Observations (HIPPO) data were transitioned to the NCAR Earth Observing Laboratory at https://www.eol.ucar.edu/data-software.

The CDIAC data are out of date. Are updates to the CDIAC datasets (e.g. fossil fuels emissions) available?
ESS-DIVE is not updating any of the CDIAC data. Here are some links to check out for additional data:

  • International Energy Agency (https://www.iea.org/statistics/relateddatabases/co2emissionsfromfuelcombustion/ ) – provides global and national (~ 140 countries) estimates including estimates by sector (e.g., residential, electricity generation).
  • Jos Oliver/Emissions Database for Global Atmospheric Research (EDGAR) – provides emissions estimates for several atmospheric species including carbon dioxide including global and national time series and gridded (0.1 x 0.1) estimates.
  • US Environmental Protection Agency (https://www.epa.gov/ghgemissions/sources-greenhouse-gas-emissions ) – provides detailed emission estimates including sectoral estimates for the United States.
  • Global Emission Inventory Activity (GEIA, http://eccad.aeris-data.fr/#DatasetPlace  ) – provides gridded emissions estimates for many atmospheric species including carbon dioxide.
  • Tom Oda (NASA/GSFC)/ ODIAC (http://odiac.org/index.html) – Odiac (Open-source Data Inventory for Anthropogenic CO2) is a global high-resolution emission dataset for fossil fuel carbon dioxide (CO2) emissions, initially developed by the Japanese Greenhouse gas Observing SATellite (GOSAT) project. Odiac emissions are based on CDIAC estimates and create spatial and temporal distributions using various proxy data such as satellite-observed nighttime lights and power plant profiles.