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535 results for “DUST”
ULYSSES DUST DETECTION SYSTEM V2.0
Dataset Overview ================ This data set contains information on dust the dust environment in interplanetary space within the inner solar system, between Jupiter and the Sun, and at high polar latitudes of the Sun. Both interplanetary and interstellar dust particles have been detected. This information is collected with a dust impact experiment, from which may be inferred direction of motion, mass, velocity and charge (see ULYDINST.CAT). The data presented in this dataset include instrumental readouts, inferred metadata, calibration information and a calendar of events. Specifically:
ULYSSES DUST DETECTOR SYSTEM V1.0
Version 1.1 =========== This data set, ULY-D-UDDS-5-DUST-V1.1, differs slightly from the data set UL-D-UDDS-5-DUST-V1.0 created and reviewed at the PDS/Small Bodies Dust Subnode. In addition to the change in Data set ID, the following changes have been made:
ROSETTA-ORBITER 67P GIADA 5 DUST MAPS V1.0
Rosetta-GIADA scientific Phase covers the period of time from 01 August 2014 until 31 September 2016. It started after the first dust particle detection by the GIADA subsystems. The present DataSet collects all the High Level GIADA dust maps obtained by high level elaboration of the measurements obtained during the scientific phase. The high level data produced are dust maps of the coma reporting spatial flux and mass distribution, spatial speed distribution and dispersion of the particles end dust production area on the nucleus.
VEGA1 DUST MASS SPECTROMETER MODAL DATA V1.0
The data from MPI for this dataset were received as text files each containing spectra of a single instrument mode (there were several files for most modes). These spectra were reformatted into binary tables, and all spectra from each mode were combined into a single file. The original order of the spectra has been preserved. Spacecraft time, relative to switch-on of the instrument is specified as 1 clock tick = 0.11852 seconds. The exact equation is:
Cosmic Dust Catalog
Since May 1981, the National Aeronautics and Space Administration (NASA) has used aircraft to collect cosmic dust (CD) particles from Earth's stratosphere. Specially designed dust collectors are prepared for flight and processed after flight in an ultraclean (Class-100) laboratory constructed for this purpose at the Lyndon B. Johnson Space Center (JSC) in Houston, Texas. Particles are individually retrieved from the collectors, examined and cataloged, and then made available to the scientific community for research. Cosmic dust thereby joins lunar samples and meteorites as an additional source of extraterrestrial materials for scientific study.
VEGA1 PUMA DUST MASS SPECTROMETER DATA V1.0
The PUMA data were submitted by IKI in two unique forms, a GROUPS FITS file and undocumented binary file. In one original form, the data in this set were received as 4,027 separate FITS files, one for each spectrum. These files have been reformatted and combined into four tables, one for each of the PUMA instrument operating modes. Within each table, the spectra are in order of original FITS file number. This order is assumed to be chronological, based on time given by the BLISI clock, in sec.
Predicting how varying moisture conditions impact the microbiome of dust collected from the International Space Station (ISS)
On Earth, people spend 90% of their time indoors where dust and moisture can facilitate rapid microbial growth, especially fungi. The International Space Station is a specialized closed environment that contains own unique indoor microbiome. Elevated moisture such as from a temporary ventilation system malfunction may lead to unintended microbial growth indoors, which is associated with negative health outcomes and degradation of essential built environment materials. We need to develop a predictive approach for modeling microbial growth to understand when it may occur in these critical indoor spaces. Here we demonstrate that exposure to even fluctuating elevated relative humidity above 80% can lead to rapid microbial growth and community composition changes in dust from spacecraft. We were able to model fungal growth in space station dust using the time-of-wetness framework with activation and deactivation limited growth occurring at 85% and 100% relative humidity conditions, respectively. Alpha and beta diversity of fungi was altered with both significantly decreasing as relative humidity and time elevated increased. Our results demonstrate that we can use moisture conditions to develop predictive models for fungal growth and composition. Understanding microbial growth in spacecraft can protect astronaut health, spacecraft integrity, and promote planetary protection as human activity increases in low-Earth orbit, the moon, Mars, and beyond.
Lunar Atmosphere and Dust Environment Explorer (LADEE) Ultraviolet-Visible Spectrometer (UVS) Archive Bundle
Lunar Atmosphere and Dust Environment Explorer (LADEE) Ultraviolet-Visible Spectrometer (UVS) Archive Bundle
ROSETTA-ORBITER DUST MIDAS 3 PRL SAMPLES V2.0
The Micro-Imaging Dust Analysis System (MIDAS) is an instrument on the ROSETTA Orbiter that will provide 3D images and statistical parameters of pristine cometary particles, collected in the vicinity of comet 67P/Churyumov-Gerasimenko. This data set includes all data from the PRELANDING mission phase. The current release is based on the results of the Comet Science Reviews held in Feb 2016 and Oct 2017 and supersedes version 1.0.
MSX ZODIACAL DUST DATA V1.0
The Midcourse Space Experiment (MSX) mid-infrared emission measurements from the zodiacal dust cloud in spectral bands centered at 8.3 12, 15, and 21 microns.
ROSETTA-ORBITER DUST MIDAS 3 PRL SAMPLES V1.0
The Micro-Imaging Dust Analysis System (MIDAS) is an instrument on the ROSETTA Orbiter that will provide 3D images and statistical parameters of pristine cometary particles hitting the detector. This data set includes all data from the PRELANDING mission phase.
Analysis of dust samples from the Russian part of the ISS
Our study focuses on the hardiest microorganisms inhabiting the ISS in order to assess their diversity and capabilities to resist certain stresses. We specifically selected dust samples from the Russian modules that were obtained 8-10 years ago and stored since then under sealed conditions on Earth. Targeting long-time survivors and spore-forming microorganisms we assessed consequently the cultivable microbial community of these samples in order to obtain model microbial strains that could help to analyze specific adaptation towards environmental stresses such as desiccation and lack of nutrients. In this study we analyzed these microorganisms with respect to their resistance towards thermal stress and exposure to clinically relevant antibiotics. In addition we assessed the bacterial and archaeal community via molecular methods (NGS sequencing) and compared our new data with the previously derived information from the ISS microbiome.
CASSINI COSMIC DUST ANALYZER CALIBRATED/RESAMPLED DATA
The Cosmic Dust Analyzer (CDA) is an instrument on the Cassini Orbiter that studies the physical properties of dust particles hitting the detector. This data set includes all data from the CDA with the exception of the High Rate Detector (HRD). Please refer to [SRAMAETAL2004B] (see CDAREFS.CAT) for a detailed CDA description.
GIOTTO EXTENDED MISSION DUST IMPACT DETECTOR V1.0
This dataset contains the results obtained from the Dust Impact Detection System (DIDSY) flown aboard the GIOTTO spacecraft during its extended mission to Comet P/Grigg-Skjellerup in 1992. The measurements and analysis of the three impacts detected during close approach are contained in text files. Calibration tables for the sensors are included in this dataset. These data have not been reviewed or formally archived with the PDS.
z0MGS_Dust Catalog
The z0MGS_Dust project consists of Herschel images from PACS and SPIRE available for 1578 galaxies, dust emission parameters for 819 galaxies, and integrated photometry and dust parameters for 877 galaxies. The final catalog used in this study uses WISE and Herschel data to derive interstellar dust parameters and scaling relations with other galactic information such as stellar mass, star formation rate, and related values.
GALILEO DUST DETECTION SYSTEM V2.0
This data set contains information on the dust environment in interplanetary space within the inner solar system and in the Jupiter system, within and without the Jovian magnetosphere and around the Galilean satellites.
Microbiomes of the Dust Particles Collected from the International Space Station and Spacecraft Assembly Facilities
The safety of the International Space Station (ISS) crewmembers and maintenance of ISS hardware are the primary rationale for monitoring microorganisms in this closed habitat. The composition of the microbial community of this built environment is unique due to microgravity, space radiation, and elevated carbon dioxide levels. As built environments are known to have their own microbiomes, next-generation sequencing methods have to be utilized to explore the ISS microbial profile, and use this data for further development of safety and maintenance practices. ISS vacuum cleaner bag components (surface) and vacuum cleaner bag components of two cleanrooms at Jet Propulsion Laboratory (JPL, Pasadena, CA) were examined. 16S rRNA gene and ITS sequencing based on the 454 platform was used to elucidate the ISS microbial diversity and explore differences between the microbiomes of the ISS and Earth-based cleanrooms.
VEGA2 DUST PARTICLE IMPACT DETECTOR DATA V1.0
The SP-2 experiment on Vega spacecraft was intended for studying the spatial and mass distributions of dust particles in the cometary coma over the mass range 1.e-16 to 1.e-6 g. Covering such a broad mass range was made possible by using sensors of two types, namely, impact plasma and acoustic.
Analysis of dust samples from the Russian part of the ISS
Our study focuses on the hardiest microorganisms inhabiting the ISS in order to assess their diversity and capabilities to resist certain stresses. We specifically selected dust samples from the Russian modules that were obtained 8-10 years ago and stored since then under sealed conditions on Earth. Targeting long-time survivors and spore-forming microorganisms we assessed consequently the cultivable microbial community of these samples in order to obtain model microbial strains that could help to analyze specific adaptation towards environmental stresses such as desiccation and lack of nutrients. In this study we analyzed these microorganisms with respect to their resistance towards thermal stress and exposure to clinically relevant antibiotics. In addition we assessed the bacterial and archaeal community via molecular methods (NGS sequencing) and compared our new data with the previously derived information from the ISS microbiome.
VEGA2 DUST PARTICLE IMPACT PLASMA DETECTOR DATA V1.0
A number of datasets from the VEGA missions were submitted by Dyachkov at IKI as FITS files (binary data) using the GROUPS form or multidimensioned arrays. In addition, little information was provided except for the date, spacecraft, and experiment. Sometimes in the GROUPS parameters (Pvalues), there were experiment parameters such as 'time' indicated and by inference this could be determined to be exposure time versus a clock time. Since there was at least one extensive set of observations (TVS images), that were provided by IKI in this manner and a separate facility (KFKI) with the proper IHW keywords, it was possible to make estimates as to the meaning of 'time' with proper units (seconds).
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