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 83,784 Results
    Dataset for the paper "Magnetospheric control of ionospheric TEC perturbations via whistler-mode and ULF waves" paper to be submitted to AGU Advances
    Apr 25, 2024
    Verkhoglyadova, Olga, 2024, "Dataset for the paper "Magnetospheric control of ionospheric TEC perturbations via whistler-mode and ULF waves" paper to be submitted to AGU Advances", https://doi.org/10.48577/jpl.LGI5JS, JPL Open Repository
    The dataset contains slant TEC (STEC) estimated between FAIR GPS site (-147.499,64.978) and selected GPS satellites, and corresponding vertical TEC (VTEC) calculated at ionospheric shell heights of 450km and 150km heights. RINEX 1-second data are publicly available from the NASA...
    DatasetReadme.rtf
    Apr 25, 2024 - Dataset for the paper "Magnetospheric control of ionospheric TEC perturbations via whistler-mode and ULF waves" paper to be submitted to AGU Advances
    Rich Text Format - 3.9 KB - MD5: 6f4b095c82debd101d6a2dfdef7db91f
    tec_fair130703_1sec_14_18_150km_2.txt
    Apr 25, 2024 - Dataset for the paper "Magnetospheric control of ionospheric TEC perturbations via whistler-mode and ULF waves" paper to be submitted to AGU Advances
    Plain Text - 24.5 MB - MD5: a18386a4bffbc3f209c70797138aa94e
    04-1622.pdf
    Apr 24, 2024 - Mars Exploration Rover (MER) project environmental assurance program
    Adobe PDF - 723.9 KB - MD5: 4dacc6f89f4ea0965de8a432e9d60b64
    CL24_1289.pdfEmbargoed
    Apr 24, 2024 - Optical turbulence profiling at the Table Mountain Facility with the Laser Communication Relay Demonstration GEO downlink.
    Adobe PDF - 2.4 MB - MD5: edbea15b4e3d97ba1aa238f76d3a5402
    CL24_0873.pdfEmbargoed
    Apr 24, 2024 - Energetic particle precipitation in sub-auroral polarization streams
    Adobe PDF - 3.4 MB - MD5: c39b0aee63ed50089d4c4e7cfdcc5468
    CL24_0963.pdfEmbargoed
    Apr 24, 2024 - A Constrained dust opacity for models of dense clouds and protostellar envelopes
    Adobe PDF - 383.7 KB - MD5: 00a5afa5b90cc34f7a1aed42728fcd91
    CL24_0951.pdfEmbargoed
    Apr 24, 2024 - Imaging Spectroscopy Investigations in Wet Carbon Ecosystems: A Review of the Literature From 1995-2022 and Future Directions
    Adobe PDF - 4.8 MB - MD5: 92a33da4667eb7c4e79a4cc0b04f2073
    CL24_0947.pdfEmbargoed
    Apr 24, 2024 - The Surface Water and Ocean Topography Mission: A breakthrough in radar remote sensing of the ocean and land surface water
    Adobe PDF - 5.2 MB - MD5: 64780acebfbaed3fcf52d55ff7c3daf6
    CL24_0896.pdfEmbargoed
    Apr 24, 2024 - Forming localized dust concentrations in a dust ring? A case study on DM Tau Asymmetric 7 mm Dust Continuum of DM Tau Disk
    Adobe PDF - 4.9 MB - MD5: 94e1f3eaa521462a954e1c86354c6cac
    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.