The Planetary Data System (PDS) is an archive of data products from NASA planetary missions, which is sponsored by NASA's Science Mission Directorate. We actively manage the archive to maximize its usefulness, and it has become a basic resource for scientists around the world.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The NEAR Radio Science Raw Archive document collection consists of documents supporting the data types and instrument. This collection was migrated from PDS3 to PDS4 in 2024 by the Radio Science Sub-Node. This bundle contains all the raw data from the PDS3 data sets NEAR_A_RSS_1_5_EROS_FLYBY_V1_0, NEAR_A_RSS_1_5_EROS_ORBIT_V1_0, and NEAR_A_RSS_1_5_MATHILDE_V1_0.
This series of fifteen CDs was produced by JPL's Science Digital Data Preservation Task (SDDPT) by migrating the original Mariner Ten image EDRs from old, deteriorating
This archive contains the data used to generate Figures 1-6 in the paper "Possible Transient Luminous Events observed in Jupiter's upper atmosphere" by Giles et al. (2020), submitted to JGR Planets. The original Juno UVS data is available at the PDS Atmospheres Node (https://pds-atmospheres.nmsu.edu/PDS/data/jnouvs_3001/). The images in Figure 7 were obtained from the JunoCam archive at the PDS Imaging Node (https://pds-imaging.jpl.nasa.gov/data/juno/). The image is Figure 8 was obtained from the WFCJ archive at MAST (https://archive.stsci.edu/hlsp/wfcj).
This bundle contains products associates with the PDS MAVEN LPW data archive.
This archive bundle contains collections of comet observations and derived results from the SOHO data archives, with related documentation.
Aggregated data from the Rover Environmental Monitoring Station (REMS) onboard the Mars Science Laboratory (MSL). Seasonal and diurnally fitted wave modes for the observed pressure. Raw data retrieved from NASA PDS archive (https://atmos.nmsu.edu/PDS/data/mslrem_1001/)
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset replicates the standard color maps of the Version 2 MRO MARCI Mars Daily Global Maps (MDGMs) delivered to the NASA Planetary Data System (PDS) Imaging Node, but in JPEG format. Each map was made from 13 consecutive sets of global map swaths taken during a time period of about a sol by the Mars Color Imager (MARCI) onboard the Mars Reconnaissance Orbiter (MRO) spacecraft. This dataset contains the standard resolution (0.1 degree longitude by 0.1 degree latitude, covering 180W-180E, 90S-90N) color MDGMs for MARCI subphases from P01 to J08 (Mars Year 28-33, data collected during 2006-2016). The maps are organized into "P" (for P01-P22), "B" for (B01-B22), "G" (for G01-G23), "D" (for D01-D22), "F" (for F01-F23) and "J" (for J01-J08) folders. The folders are tarred and gzipped. Information for the Mars year and solar longitude (Ls) value of each MDGM can be found from a .txt file within each subphase folder. The list of images used to construct the MDGMs can be found in the list/ subdirectory of each subphase folder. The time range covered by each subphase can be found in the summary_subphases.txt file. The Notes associated with this dataset provides additional information. The MDGMs in TIFF format, maps for 7 individual MARCI camera filters, 0.05 degree by 0.05 degree visible and color maps, and more information can be found in the original archive bundle at NASA's PDS Annex Astropedia website when the data are appended: https://astrogeology.usgs.gov/search/map/Mars/MarsReconnaissanceOrbiter/MARCI/MARS-MRO-MARCI-Mars-Daily-Global-Maps. For users' convenience, the documents (readme.pdf, processing.pdf and errata.pdf) for the PDS4 archive are replicated here. The MDGMs are intended for a quick look of time-variable phenomena on Mars from day to day. The color of MDGMs results from an arbitrary color scheme that is applied across all maps, but users can apply their own color stretch using image manipulating software.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A pair of Ames Stereo Pipeline (ASP) generated LROC NAC Digital Elevation Models in NASA PDS4 structure.
Purpose: Created as part of a testing effort funded by the LPI. The purpose of this dataset is to provide example LROC NAC Digital Elevation Models (DEMs) generated using rapid Ames Stereo Pipeline (ASP) processing. The example DEMs were assessed for suitability for scientific analysis.
Data Set Overview: The archive contains 2 DEMs, in GeoTiff format, as a right image and a left image. The DEMs were generated using the ASP online tutorial and version of the software downloaded in March 2022 from github using the latest build (https://github.com/NeoGeographyToolkit/StereoPipeline). The DEMs cover a portion of Glushko crater's extensive ejecta ray system, Earth's Moon.
The DEMs were generated using map-projected Lunar Reconnaissance Orbiter Camera (LROC) Narrow Angle Camera (NAC) input images that were collected as a stereo pair but have not yet been processed into a DEM using photogrammetric techniques. The base shape model for the projection is the LROC Wide Angle Camera (WAC) GLD100 topographic product. The map-projected images were run using parallel_stereo and point2dem processes in the ASP toolkit. The output is a DEM in geotiff format.
The included test DEMs, archive structure, related documents, and xml files are formatted to best effort in pds4 format following online documentation by NASA PDS (as of Sept 2022 at https://pds.nasa.gov). Files were validated using the PDS Validate tool (downloaded Sept 2022, version v2.3.0, from https://github.com/NASA-PDS/validate). Xml templates were modified from existing related examples (Watkins 2018, Herrick and Ward 2020, Hare and Trent 2018). The provided files have been self-validated but are not validated by the Planetary Data System (PDS) and are provided for educational and training purposes only, and could contain errors or inconsistencies.
This data set consists of 6691 images spanning 24 classes that were collected by the Mars Science Laboratory (MSL, Curosity) rover by three instruments (Mastcam Right eye, Mastcam Left eye, and MAHLI). These images are the "browse" version of each original data product, not full resolution. They are roughly 256x256 pixels each. We divided the MSL images into train, validation, and test data sets according to their sol (Martian day) of acquisition. This strategy was chosen to model how the system will be used operationally with an image archive that grows over time. The images were collected from sols 3 to 1060 (August 2012 to July 2015). The exact train/validation/test splits are given in individual files. Full-size images can be obtained from the PDS at https://pds-imaging.jpl.nasa.gov/search/ .
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset has been curated for the purpose of training and evaluating a variety of local feature extractors intended for optical navigation in the proximity of Solar System small bodies (SSSBs). It aims to serve as a resource for researchers in the field and it is referenced in the related article titled "CNN-based local features for navigation near an asteroid" [1]. Additionally, the associated Python code for this dataset can be found in [2].
The dataset is a compilation of images obtained from four distinct space missions focused on SSSBs, specifically NEAR Shoemaker (Eros) [3], Hayabusa (Itokawa) [4], Rosetta (67P/Churyumov-Gerasimenko) [5, 6], and OSIRIS-REx (Bennu) [7]. It also incorporates synthetic data generated through the utilization of a Bennu shape model [8] and OpenGL-based rendering software [9, 10]. Access to mission-specific images is available through the NASA Planetary Data System (PDS), and for the Rosetta mission, via the ESA Planetary Science Archive [11].
The prefix rot-
has been applied to subsets in which images have been pre-rotated to orient the SSSB's rotation axis upwards within the image frame. These subsets are primarily intended for training purposes and encompass image pairs with pixel correspondences that can be found in the aflow
directory. Pixel correspondences are stored as 16-bit PNG images, where the G- and B-channels respectively represent the x and y image coordinates. To facilitate data compression and storage, a fixed scaling coefficient of 8 has been employed to convert the pixel correspondence float array into a 16-bit integer array to be used by the PNG compression. These pixel correspondence files can be loaded using the navex.datasets.tools.load_aflow
function from [2].
On the other hand, subsets designated with a -d
postfix include depth information (*.d
files) and are exclusively employed during the evaluation of the proposed feature extractors. The depth data is stored as scaled grayscale 16-bit integer arrays using PNG compression. A custom additional header accompanies these images, providing two 32-bit float values, namely the subtracted offset v0 and the scale multiplier s utilized in the calculation of image pixel values as v' = (v - v0)·s. To access the depth data as a 32-bit float array, researchers can utilize the navex.datasets.tools.load_mono
function from [2].
Please note that the file paths in e.g. rot-cg67p-osinac.tar
and cg67p-osinac-d.tar
archives are the same, so you need to either rename the extracted folder, extract them to different folders, or only extract the archive that you need.
For clarity, it should be noted that subsets lacking the aforementioned pre- or postfixes do not contain paired images and consequently lack pixel correspondences. These subsets were exclusively used for feature extractor training in [1].
The dataset also includes *.ckpt
files, which are the trained feature extractor models referred to in [1]. More details about how to use them can be found in [2].
Corresponding Dataset for Precision of Spacecraft
Doppler Tracking at Low Signal-to-Noise Ratios
README FILE
Dustin Buccino
January 1, 2023
Jet Propulsion Laboratory
California Institute of Technology
=============================================================================
INTRODUCTION
=============================================================================
This dataset contains open-loop data collected by the Planetary Radar
and Radio Science Group at the Jet Propulsion Laboratory from the Low-SNR
Ground System Demonstration with DSS-25 in May 2020. Futhermore, it
also provides the necessary data behind the figures in the corresponding
publication. This dataset is provided in order to supplement the submitted
article to the "Radio Science" journal
Buccino, D.R., et al (2023), Precision of Spacecraft Doppler Tracking
at Low Signal-to-Noise Ratios, Radio Science, submitted
January 2023.
=============================================================================
ARCHIVE INFORMATION
=============================================================================
This archive contains several data types, located within subdirectories.
ROOT
`- 159TEST2022133_1845X25X25RO.A02_XATnn_nndBHz
These files are the open-loop data collected at the DSN
during the test. There are six files, one for each SNR level. The
files are in the DSN-standard 0159-Science format (binary data).
To decode these files, one should utilize the software
interface specification documents from the Planetary Data System
radio science documentation bundle:
https://pds-geosciences.wustl.edu/
radiosciencedocs/urn-nasa-pds-radiosci_documentation/
`- figures.zip
This directory contains all data necessary to reproduce the figures
in the publication. Data include Doppler residuals, SNR measurement,
Allan deviation and associated parameters. Each file in this
directory is plain-text.
=============================================================================
ACKNOWLEDGMENTS
=============================================================================
This work was carried out at the Jet Propulsion Laboratory,
California Institute of Technology, under contract with the National
Aeronautics and Space Administration. Government sponsorship acknowledged.
=============================================================================
PRIMARY POINT OF CONTACT
=============================================================================
Dustin Buccino
Jet Propulsion Laboratory
Planetary Radar and Radio Sciences
(818) 393 - 1072
Dustin.R.Buccino@jpl.nasa.gov
=============================================================================
ACRONYMS AND ABBREVIATIONS
=============================================================================
ASCII American Standard Code for Information Interchange
DOY Day of year
DSN Deep Space Network
JPL Jet Propulsion Laboratory
NAIF Navigation Ancillary Information Facility
NASA National Aeronautics and Space Administration
PDS Planetary Data System
RS Radio Science
RSS Radio Science Subsystem
SIS Software Interface Specification
TXT Text file
UTC Universal Time, Coordinated
This archive contains Mars Exploration Rover x-ray data products from the APXS instrument and ancillary files. Each product has a detached PDS label that describes the file structure and instrument parameters used for that product. The APXS x-ray products archived on this volume were generated by the APXS Science Team, Max Planck Institute, for the Mars Exploration Rover Project. Supporting documentation and label files conform to the Planetary Data System (PDS) Standards, Version 3.6, Jet Propulsion Laboratory (JPL) document number D-7669. This archive is designed to be accessed as an online resource.
Corresponding Dataset for "Ganymede’s Ionosphere observed
by a Dual-Frequency Radio Occultation with Juno"
README FILE
Dustin Buccino
February 21, 2022
Jet Propulsion Laboratory
California Institute of Technology
=============================================================================
INTRODUCTION
=============================================================================
This dataset contains processed radio science data and results of the
Juno Ganymede radio occultation. This dataset is provided in order to
supplement the submitted article to the "Geophysical Research Letters"
journal:
Buccino, D.R., et al (2022), Ganymede’s Ionosphere observed by a
Dual-Frequency Radio Occultation with Juno, Geophysical Research
Letters, submitted February 2022.
Please note the raw data used in this analysis are not provided in this
supplementary dataset. The raw Juno Gravity Science Data may be found at
the Planetary Data System:
Buccino, D. R. (2016). Juno jupiter gravity science raw data set
V1.0, JUNO-J-RSS-1 JUGR-V1.0, NASA planetary data system (PDS).
Retrieved from https://atmos.nmsu.edu/PDS/data/jnogrv_1001/
=============================================================================
ARCHIVE INFORMATION
=============================================================================
This archive contains two files within the root directory.
ROOT
`- JunoG34OccData_Egress_v1.csv
This data file contains the EGRESS data relevant to the radio
occultation. The data is a timeseries of impact parameter, sky
sky frequency at X-band and Ka-band, the dual-frequency
combination, the calibrated dual-frequency, Total Electron
Content, Electron density, and 1-sigma electron density
uncertainty.
`- JunoG34OccData_Ingress_v1.csv
This data file contains the INGRESS data relevant to the radio
occultation. The data is a timeseries of impact parameter, sky
sky frequency at X-band and Ka-band, the dual-frequency
combination, the calibrated dual-frequency, Total Electron
Content, Electron density, and 1-sigma electron density
uncertainty.
=============================================================================
FILE FORMAT
=============================================================================
This dataset contains only a comma-separated text files which are
given with the "*.csv" extension.
CSV FILES
-------------------------------------------------------------------------
The Comma-Separated Value (CSV) files are plain-text files. Values in
each data file are separated using a comma ",". Each column is defined
by a header row which provides a description of each column.
=============================================================================
ACKNOWLEDGMENTS
=============================================================================
This work was carried out at the Jet Propulsion Laboratory,
California Institute of Technology, under contract with the National
Aeronautics and Space Administration. Government sponsorship acknowledged.
EG, LGC, PT, MZ and AC are grateful to the Italian Space Agency (ASI) for
financial support through Agreement No. 2018-25-HH.0 in the context of ESA's
JUICE mission, and Agreement No. 2017-40-H.1-2020, and its extension
2017-40-H.02020-13-HH.0, for ESA’s BepiColombo and NASAs Juno radio science
experiments. EG is grateful to "Fondazione Cassa dei Risparmi di Forlì" for
financial support of his PhD fellowship.
PS and AH were supported by NASA Contract NNM06AA75C from the Marshall
Space Flight Center under subcontract 699054X from Southwest Research
Institute.
=============================================================================
PRIMARY POINT OF CONTACT
=============================================================================
Dustin Buccino
Jet Propulsion Laboratory
Planetary Radar and Radio Sciences
(818) 393 - 1072
Dustin.R.Buccino@jpl.nasa.gov
=============================================================================
ACRONYMS AND ABBREVIATIONS
=============================================================================
ASCII American Standard Code for Information Interchange
DOY Day of year
DSN Deep Space Network
JPL Jet Propulsion Laboratory
NAIF Navigation Ancillary Information Facility
NASA National Aeronautics and Space Administration
PDS Planetary Data System
RS Radio Science
RSS Radio Science Subsystem
SIS Software Interface Specification
TXT Text file
UTC Universal Time, Coordinated
Y.J.L. has received funding from EU Horizon 2020 MSCA-IF No. 841432. P.K was funded by the JSPS International Research Fellow program. J.P. acknowledges JAXA's International Top Young Fellowship (ITYF). VMC data are publicly available at ESA PSA (ftp://psa.esac.esa.int/pub/mirror/VENUS-EXPRESS/VMC/). UVI data are publicly available at the JAXA archive website, DARTS (http://darts.isas.jaxa.jp/), and the NASA archive website, PDS (https://pds.nasa.gov/). This is the derived data, presented in a publication entitled "Spatial and temporal variability of the 365-nm albedo of Venus observed by the camera on board Venus Express" (JGR:Planet, doi: 10.1029/2019JE006271). See the paper for details. See 'Readme.txt' for the file descriptions.
The Voyager magnetometer investigation (P.I.- Norman F. Ness) makes available archival data through the National Space Science Data Center (NSSDC) located at NASA/GSFC as well as through the Planetary Data System (PDS) and other channels. The primary archive format, referred to as a 'summary tape' or 'conjoint summary tape' has been used consistently since the beginning of the Voyager mission to the outer planets (1977). This format makes available magnetometer observations, supplementary engineering and ephemeris data in one data file, and it is one product of Voyager magnetometer routine data processing. Users are referred to the summary format data for all data requirements with one exception: Neptune encounter high field observations. Neptune close approach observations are archived separately and in a different format from that with which many are familiar. This high-field archive is described here.
This archive contains Mars Exploration Rover Operations (Ops) APXS Experiment Data Record (EDR) products and ancillary files. Each EDR product has a detached PDS label that describes the file structure and instrument parameters used for that image. The APXS Operations EDR products archived on this volume are theoriginal products used during mission operations by the Mars Exploration Rover project. Supporting documentation and label files conform to the Planetary Data System (PDS) Standards, Version 3.6, Jet Propulsion Laboratory (JPL) document number D-7669.
This archive contains level 2 data from the ROMAP-MAG instrument onboard ROSETTA Lander, acquired during the MARS fly-by phase. It also contains documentation which describes the ROMAP experiment. The data archived in this data set conform to the Planetary Data System (PDS) Standards, Version 3.6.
This archive contains level 3 data from the ROMAP SPM instrument onboard ROSETTA Lander, acquired during the MARS fly-by phase. It also contains documentation which describes the ROMAP experiment. The data archived in this data set conform to the Planetary Data System (PDS) Standards, Version 3.6.
The Planetary Data System (PDS) is an archive of data products from NASA planetary missions, which is sponsored by NASA's Science Mission Directorate. We actively manage the archive to maximize its usefulness, and it has become a basic resource for scientists around the world.