Find research datasets worth reusing

opencc-by-4.0Oct 2023View details →

UV Reflectance of Spacecraft Materials and Analog Soils: Implications for Bioburden Reductions on the Undersides of Mars Rovers

AbstractThe Mars Sample Return mission architecture will utilize three spacecraft to collect, cache, recover, launch, and return to Earth a diversity of regolith and rock samples. However, no comprehensive Mars Microbial Survival (MMS) model currently exists.  As an initial effort in building a MMS model, we examined the UV reflectance of 15 spacecraft materials and seven Mars analog soils within the context of the Perseverance mission. Data were used to predict the times required to achieve one lethal dose (syn., Sterility Assurance Level [SAL]; def. as a bioburden reduction of ‒12 logs).  Results suggest that a single SAL dosage of UVC was achieved on exposed surfaces on the upper deck of Perseverance within a few hours to a few sols post-landing at Jezero Crater. The overall average for UVC reflectance from spacecraft materials was approx. 10%.  The overall UVC reflectance from Mars analog soils was measured at 1.3%.  The Adaptive Caching Assembly (ACA) on Perseverance is located on the forward edge of the underbelly of the spacecraft.  Modeling of the accumulated UVC dosage for the ACA yielded a prediction of reaching one SAL for downward facing surfaces at 93 sols that receive 'single bounce' UVC photons from the local terrain.  The SAL increases to 930 sols, if an additional 'bounce' of the solar UV irradiation is required to reach a partially protected site in the ACA hardware.  The current study is the first to report on the UVC reflectance from a diversity of spacecraft materials.

opencc-by-4.0Nov 2023View details →

A list of Mercury's near-tail current sheet crossings observed by the MESSENGER spacecraft

The dataset for "North–South Plasma Asymmetry across Mercury's Near-tail Current Sheet" submitted to Geophy. Res. Lett. This dataset contains information about 202 Mercury's near-tail current sheet events.

opencc-by-4.0Oct 2021View details →

Improved boundary conditions for coupled geospace models: an application in modeling spacecraft surface charging environment

These are simulation results from running the RAM-SCB model coupled with the BATS-R-US model via the Space Weather Modeling Framework (SWMF). Two simulations are conducted. One named as "Simulation I" contains simulation outputs from using the traditional outer boundary conditions for the RAM-SCB (i.e., assuming a Kappa distribution with MHD parameters obtained from the BATS-R-US model). The other one named as "Simulation II" contains simulation output from using the new outer boundary conditions for the RAM-SCB (i.e., combining the Denton's empirical electron flux distribution (E<40 keV) with the MHD-parameterized Kappa distribution).  In "simulation_data.zip", three types of simulation results are included:  <ul> <li>"BC_simulation_?.zip": the outer boundary conditions of the electron flux at 6.5 Re at five different times (hour=6, 7, 10, 14, 19)</li> <li>"ram_e_d20130317_flux_simulation_?.zip": the differential electron flux in the equatorial plane within 6.5 Re during the March 17, 2013 event</li> <li>"RBSPB20130317.nc": the differential electron flux, and other parameters (ion flux, magnetic fields) along the RBSP-B trajectory.</li> </ul> In "simulation20180410_alongRBSPa.zip", model results during the storm of 2018/04/10 are saved, including the differential electron flux and other parameters (ion flux, magnetic fields) along the RBSP-A trajectory. Both types of simulations are conducted. In "simulation20180826_alongRBSPa.zip", model results during the storm of 2018/08/25-26 are saved, including the differential electron flux, and other parameters (ion flux, magnetic fields) along the RBSP-A trajectory. Both type of simulations are conducted.

opencc-by-4.0Aug 2022View details →

Multi-faceted metagenomic analysis of spacecraft associated surfaces reveal planetary protection relevant microbial composition

Supplemental tables and figures for manuscript titled: "Multi-faceted metagenomic analysis of spacecraft associated surfaces reveal planetary protection relevant microbial composition" Abstract NASA has been monitoring the microbial burden of spacecraft since the 1970’s Viking missions. Originally based upon culture-based and then focused 16S sequencing techniques, we have now applied whole metagenomic sequencing of cleanroom samples at the Jet Propulsion Lab (JPL), including the Spacecraft Assembly Facility (SAF) with the goals of taxonomic identification and for functional assignment. Our samples included facility pre-filters, cleanroom vacuum debris, and surface wipes. The taxonomic composition was carried out by three different analysis tools. Hierarchical clustering analysis separated vacuum particles from SAF DNA samples. Vacuum particle samples were the most diverse while DNA samples from the ISO facilities and the SAF were the least diverse; all three were dominated by Proteobacteria. Wipe samples had higher diversity and were predominated by Actinobacteria, including human commensals Cutibacterium acnes and Corynebacterium. Taxa identified by the three methods were not identical, supporting the use of multiple methods for metagenome characterization. Likewise, functional annotation was performed using multiple methods. Vacuum particle and SAF tricarboxylic acid cycle and amino acid biosynthesis suggested that many of the identified microorganisms have the ability to grow in nutrient-limited environments. In total, 18 high quality metagenome assembled genomes were generated and were dominated by Moraxella osloensis or Malassezia restricta. A M. osloensis MAG was assembled into a single circular scaffold and gene annotated.  This includes a rigorous quantitative determination of microbial loads, and a qualitative dissection of microbial composition. Genomic assembly led to greater confidence of species identification and their functional roles.

opencc-by-4.0Oct 2021View details →

Next Generation Spacecraft Pose Estimation Dataset (SPEED+)

SPEED+ is the next-generation dataset for spacecraft pose estimation with specific emphasis on the robustness of Machine Learning (ML) models across the domain gap. Similar to its predecessor, SPEED+ consists of images of the Tango spacecraft from the PRISMA mission. SPEED+ consists of three different domains of imageries from two distinct sources. The first source is the OpenGL-based Optical Stimulator camera emulator software of <a href="https://damicos.people.stanford.edu">Stanford’s Space Rendezvous Laboratory (SLAB)</a>, which is used to create the synthetic domain comprising 59,960 synthetic images. The labeled synthetic domain is split into 80:20 train/validation sets and is intended to be the main source of training of an ML model. The second source is the Testbed for Rendezvous and Optical Navigation (TRON) facility at SLAB, which is used to generate two simulated Hardware-In-the-Loop (HIL) domains with different sourcesof illumination: lightbox and sunlamp. Specifically, these two domains are constructed using realistic illumination conditions using lightboxes with diffuser plates for albedo simulation and a sun lamp to mimic direct high-intensity homogeneous light from the Sun. Compared to synthetic imagery, they capture corner cases, stray lights, shadowing, and visual effects in general which are not easy to obtain through computer graphics. The lightbox and sunlamp domains are unlabeled and thus intendeded mainly for testing, representing a typical scenario in developing a spaceborne ML model in which the labeled images from the target space domain are not available prior to deployment. SPEED+ is made publicly available to the aerospace community and beyond as part of the second international Satellite Pose Estimation Competition (SPEC2021) co-hosted by SLAB and the <a href="https://www.esa.int/gsp/ACT/">Advanced Concepts Team (ACT)</a> of the <a href="https://esa.int">European Space Agency</a>. The construction of the TRON testbed was partly funded by the U.S. Air Force Office of Scientific Research (AFOSR) through the Defense University Research InstrumentationProgram (DURIP) contract FA9550-18-1-0492, titled High-Fidelity Verification and Validation of Spaceborne Vision-Based Navigation. The SPEED+ dataset was created using the TRON testbed by SLAB at Stanford University. The post-processing of the raw images was reviewed by ACT to meet the quality requirement of SPEC2021. For more details on the dataset and the competition, please visit <a href="https://kelvins.esa.int/pose-estimation-2021/">https://kelvins.esa.int/pose-estimation-2021/</a>

opencc-by-3.0-usMar 2023View details →

Corresponding Dataset for Precision of Spacecraft Doppler Tracking at Low Signal-to-Noise Ratios

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

opencc-by-4.0Sep 2020View details →

Location of ground stations, targets and spacecraft

Datasets included with Article: "Data sink selection using consensus leadership: improving target connectivity for a spacecraft constellation"

opencc-by-4.0Oct 2020View details →

Supplymented Data for "On the Conditions of Aliasing Effects in Constellations with More than Four Spacecraft"

Supplymented Data for "On the Conditions of Aliasing Effects in Constellations with More than Four Spacecraft"

opencc-by-nc-sa-4.0Feb 2023View details →

The m-Dimensional Spatial Nyquist Limit Using the Wave Telescope for Larger Numbers of Spacecraft Dataset

Dataset for: The m-Dimensional Spatial Nyquist Limit Using the Wave Telescope for Larger Numbers of Spacecraft. Includes model results of 2D and 3D modelling.

opencc-by-4.0Jul 2023View details →

Multi-Spacecraft Observations of the September 05, 2022 CME

Combination of in situ data, remote sensing observations, and CME modeling for the ICME on 2022 September 05. (a) Running difference COR2 image from STEREO-A at 19:11 UT, where the location of PSP is represented by the white asterisk. (b) The combined WISPR FOV, overlaid on a grid of heliocentric longitude and latitude. (c) PSP orbital trajectory in HEEQ coordinates, with CME1 in blue and CME2 in red. The orbital location of Solar Orbiter (SOLO), STEREO-A (STA), and Earth are shown by black arrows. (d) In situ measurements observed by PSP. From top to bottom, the electron density from QTN (blue) and SPAN-E (red), solar wind velocity spectra from SPAN-I, RTN magnetic field vector with magnitude (black), and normalized ePADs measured at 433 eV. The vertical black line indicates the current time in the animation. An animation of this figure is also available in the online Journal, spanning from 22-09-05/16:00 to 22-09-07/12:00~UT, syncing the different cadence rates of the coronagraph imaging, in situ measurements, and CME modeling.

opencc-by-4.0Jul 2023View details →

Nonresonant scattering of energetic electrons by electromagnetic ion cyclotron waves: spacecraft observations and theoretical framework

This repository contains the simulation dataset, plotting scripts, and optimization package for the manuscript ``Nonresonant scattering of energetic electrons by electromagnetic ion cyclotron waves: spacecraft observations and theoretical framework''. *.h5 are snapshots of EMIC wave field (By and Bz) from deltaf-PIC simulations. test_particle.zip contains the test particle data in the wave field of deltaf-PIC simulations. *.py are plotting scripts to visualize the wave field, test particle simulation results, and theoretical predictions. optimization.zip contains the main subroutines for optimization of wave power spectrum to produce the measured electron precipitation. plt_style.txt is an auxillary style file for matplotlib plot.

nasa28/100

['Draft Genome Sequences of Acinetobacter and Bacillus Strains Isolated from Spacecraft-Associated Surfaces']

['We report here the draft genome sequences of four strains isolated from spacecraft-associated surfaces exhibiting increased resistance to stressors such as UV radiation and exposure to H2O2. The draft genomes of strains 1P01SC, FO-92, 50v1, and 2P01AA had sizes of 5,500,894 bp, 4,699,376 bp, 3,174,402 bp, and 4,328,804 bp, respectively.']

restrictedus-pdMar 2025View details →

zenodo24/100

Numerical simulations on electron wing-like structures formed at a negatively-charged spacecraft moving in a magnetized plasma

Numerical and observational data presented in Miyake et al. (2019): Electron wing-like structures formed at a negatively-charged spacecraft moving in a magnetized plasma. The format of the dataset is described in the PDF document (2019JA027379_supporting_information.pdf).

opencc-by-4.0Nov 2019View details →

OCO-2 Level 0 spacecraft attitude data, Retrospective Processing V10r (OCO2_Att) at GES DISC

Version 10r is the current version of the data set. Older versions will no longer be available and are superseded by Version 10r. Version 8r is the current version of the data set. Version 7r has been superseded by Version 8r. The Orbiting Carbon Observatory is the first NASA missiondesigned to collect space-based measurements of atmospheric carbon dioxidewith the precision, resolution, and coverage needed to characterize theprocesses controlling its buildup in the atmosphere. The OCO-2 project uses the LEOStar-2 spacecraft that carries a single instrument. It incorporates three high-resolution spectrometers that make coincident measurements ofreflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and inmolecular oxygen (O2) A-Band at 0.76 micrometers . Each band has 1016 spectralelements.This product contains pointing angles of the spacecraft for each orbit.It is generated using the following input data:+ APID 20 telemetry+ Orbit Boundary File.It is essential in generating the Geolocations of the science data.This is the retrospective processing where the calibration data is estimated from the full timeseries of data (before, during, and after the measurements), and is expected to be of slightly higher quality.

OCO-2 Level 0 spacecraft ephemerides, Retrospective Processing V10r (OCO2_Eph) at GES DISC

Version 10r is the current version of the data set. Older versions will no longer be available and are superseded by Version 10r. Version 8r is the current version of the data set. Version 7r has been superseded by Version 8r. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. The OCO-2 project uses the LEOStar-2 spacecraft that carries a single instrument. It incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers . Each band has 1016 spectral elements.This product contains the position and velocity of the spacecraft for each orbit. It is generated using the following input data:+ APID 20 telemetry+ Orbit Boundary File.It is essential in generating the Geolocations of the science data.This is the retrospective processing where the calibration data is estimated from the full timeseries of data (before, during, and after the measurements), and is expected to be of slightly higher quality.

OCO-2 Level 0 spacecraft ephemerides V11 (OCO2_Eph) at GES DISC

Version 11 is the current version of the data set. Older versions will no longer be available and are superseded by Version 11. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. The OCO-2 project uses the LEOStar-2 spacecraft that carries a single instrument. It incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers . Each band has 1016 spectral elements.This product contains the position and velocity of the spacecraft for each orbit. It is generated using the following input data:+ APID 20 telemetry+ Orbit Boundary File.It is essential in generating the Geolocations of the science data.

restrictednotspecifiedMay 2025View details →

MODIS/Aqua Near Real Time (NRT) 5-min Spacecraft attitude data from GBAD to be read via SDP Toolkit Binary Format

PM1ATTNR is the Aqua Near Real Time (NRT) daily spacecraft attitude data file in native format. This is MODIS Ancillary Data. The data collection consists of PM1 Platform Attitude Data that has been preprocessed by ECS to an internal standard supported by the ECS SDP Toolkit. This data is typically used in determining the geolocation of earth remote sensing observations.The file name format is the following:PM1ATTNR_NRT.Ayyyyddd.hhmm.vvv where from left to right: PM1 = PM1 (Aqua); ATT = spacecraft attitude; N = Native format; R = Refined; A = Acquisition; yyyy = data year, ddd = Julian data day, hh = data hour, mm = data minute; vvv = Version ID.

Single reusable spacecraft

Design of a my single person reusable spacecraft. It can carry one person and it has to be dropped from an aircraft at an altitude of 40,000 - 45,000 feet. Can be the future solution for cheap public space travel.

OCO-2 Level 0 spacecraft ephemerides V11.2 (OCO2_Eph) at GES DISC

Version 11.2 is the current version of the data set. Older versions will no longer be available and are superseded by Version 11.2. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. The OCO-2 project uses the LEOStar-2 spacecraft that carries a single instrument. It incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers . Each band has 1016 spectral elements.This product contains the position and velocity of the spacecraft for each orbit. It is generated using the following input data:+ APID 20 telemetry+ Orbit Boundary File.It is essential in generating the Geolocations of the science data.

OCO-2 Level 0 spacecraft attitude data V11.2 (OCO2_Att) at GES DISC

Version 11.2 is the current version of the data set. Older versions will no longer be available and are superseded by Version 11.2 The Orbiting Carbon Observatory is the first NASA missiondesigned to collect space-based measurements of atmospheric carbon dioxidewith the precision, resolution, and coverage needed to characterize theprocesses controlling its buildup in the atmosphere. The OCO-2 project uses the LEOStar-2 spacecraft that carries a single instrument. It incorporates three high-resolution spectrometers that make coincident measurements ofreflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and inmolecular oxygen (O2) A-Band at 0.76 micrometers . Each band has 1016 spectralelements.This product contains pointing angles of the spacecraft for each orbit.It is generated using the following input data:+ APID 20 telemetry+ Orbit Boundary File.It is essential in generating the Geolocations of the science data.