The JPL Open Repository (JOR) replaced the JPL Technical Report Server (TRS) in 2023. It is a repository for digital copies of technical publications authored by JPL employees. It includes journal articles (the Final Accepted Version), meeting papers, presentations, and other publications cleared for external distribution from 1992 to the present. It also include research datasets from 2022 on.

Years covered: 1992 to the present.
  • 1992-2021 records were originally on the JPL Technical Report Server (TRS) on Dspace system; those records were migrated to Dataverse in 2022.
  • Records with publication date 2022 or later are native to the Dataverse.
  • Data sets: 2022 to present
  • There are a few pre-1992 records. Those were added to the system on a case-by-case request basis.

  • Persistent IDs (PIDs):
  • 1992-2021 records have Handles
  • 2022 and later records have Digital Object Identifiers (DOIs).
    • Featured Dataverses

    In order to use this feature you must have at least one published dataverse.

    Publish Dataverse

    Are you sure you want to publish your dataverse? Once you do so it must remain published.

    Publish Dataverse

    This dataverse cannot be published because the dataverse it is in has not been published.

    Delete Dataverse

    Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

    Advanced Search

    1 to 10 of 83,946 Results
    Seeing Earth’s Coastlines: SWOT Satellite Provides Higher-resolution Data than Ever
    Apr 30, 2024
    Hamlington, Benjamin (329C), 2024, "Seeing Earth’s Coastlines: SWOT Satellite Provides Higher-resolution Data than Ever", https://doi.org/10.48577/jpl.164TQL, Von Karman Lecture, JPL Open Repository
    Seeing Earth’s Coastlines: SWOT Satellite Provides Higher-resolution Data than Ever
    CL24_1979.pdf
    Apr 30, 2024 - Seeing Earth’s Coastlines: SWOT Satellite Provides Higher-resolution Data than Ever
    Adobe PDF - 34.3 MB - MD5: 0d54c9ec8d7df20b66c096aca0364c7a
    Observing River Dynamics from Space… Why?
    Apr 29, 2024
    Cedric David (329F), 2024, "Observing River Dynamics from Space… Why?", https://doi.org/10.48577/jpl.9NHIUL, Panel Discussion on “Satellite Constellation for Daily Water Level Measurements”, JPL Open Repository
    Observing River Dynamics from Space… Why?
    CL23_2143.pdf
    Apr 29, 2024 - Observing River Dynamics from Space… Why?
    Adobe PDF - 9.6 MB - MD5: 198d14bec996e57226c25ee9c6296bf2
    Local linear emulators accelerate atmospheric correction
    Apr 29, 2024
    Thompson, David (382B), 2024, "Local linear emulators accelerate atmospheric correction", https://doi.org/10.48577/jpl.MY6SSF, EARSeL Workshop on Imaging Spectroscopy in Valéncia, JPL Open Repository
    Local linear emulators accelerate atmospheric correction
    CL24_1738.pdf
    Apr 29, 2024 - Local linear emulators accelerate atmospheric correction
    Adobe PDF - 3.9 MB - MD5: bce93d5c76e303d28bf15b6956f22fd5
    CL24_2048.pdfEmbargoed
    Apr 29, 2024 - MRO Overview: Sixteen Years in Mars Orbit
    Adobe PDF - 19.9 MB - MD5: 58808278b4cfbf9bdce559079bf2f6a2
    CL24_2039.pdfEmbargoed
    Apr 29, 2024 - Magnetospheric‐Ionospheric‐Atmospheric Implications From the Juno Flyby of Ganymede
    Adobe PDF - 2.0 MB - MD5: 1b253cf55883021f327725e15bac0420
    CL24_2022.pdfEmbargoed
    Apr 29, 2024 - Low Noise W-band Photonic Oscillator
    Adobe PDF - 10.1 MB - MD5: e6c7ed379c6b3230b648017a37475534
    CL24_2112.pdfEmbargoed
    Apr 29, 2024 - More Frequent Spaceborne Sampling of XCO2 Improves Detectability of Carbon Cycle Seasonal Transitions in Arctic-Boreal Ecosystems
    Adobe PDF - 1.3 MB - MD5: 7df7f2f8df53d4db38c3bc4b146e6ace
    Add Data

    Sign up or log in to create a dataverse or add a dataset.

    Sign Up Log In
    Share Dataverse

    Share this dataverse on your favorite social media networks.

    Link Dataverse
    Reset Modifications

    Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.