cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.ih0aia
title: Characterization of Metagenome Assembled Genomes from the International Space Station

description: Metagenome-assembled genomes (MAGs) of International Space Station (ISS) samples were subjected to various genomic analyses, including phylogenetic affiliation, predicted functional pathways, antimicrobial resistance, and virulence characteristics. In total, 46 MAGs were assembled from 21 ISS environmental metagenomes, in which metaSPAdes yielded 20 MAGs and metaWRAP generated 26 MAGs. Among 46 MAGs retrieved, 18 bacterial species were identified, including one novel genus/species combination (Kalamiella piersonii) and one novel bacterial species (Methylobacterium ajmalii). In addition, four bins exhibited fungal genomes; this is the first-time fungal genomes were assembled from ISS metagenomes. Variations in the antimicrobial resistant (AMR) and virulence genes of the selected 20 MAGs were characterized to predict the ecology and evolution of biosafety level (BSL) 2 microorganisms in space. Since microbial virulence increases in microgravity, AMR gene sequences of MAGs were compared with genomes of respective ISS isolates and corresponding type strains. Among these 20 MAGs characterized, AMR genes were more prevalent in the Enterobacter bugandensis MAG, which has been predominantly isolated from clinical samples. MAGs were further used to analyze if genes involved in AMR and biofilm formation of viable microbes in ISS have variation due to generational evolution in microgravity and radiation pressure. Comparative analyses of MAGs and whole genome sequences of related ISS isolates and their type strains were characterized to understand the variation related to the microbial evolution under microgravity. The Pantoea/Kalamiella strains have the maximum single nucleotide polymorphisms found within the ISS strains examined. This may suggest that Pantoea/Kalamiella strains are much more subjective to microgravity changes. The reconstructed genomes will enable researchers to study the evolution of genomes under microgravity and low dose irradiation compared to the evolution of microbes here on Earth.
DOI: 10.48577/jpl.hjwugi
title: Twilight mesospheric clouds in Jezero as observed by MEDA Radiation and Dust Sensor (RDS)

description: The Mars Environmental Dynamics Analyzer (MEDA) instrument, on board the NASA's Mars 2020 Perseverance rover, includes a number of sensors to characterize the Martian atmosphere. One of this sensors is the Radiation and Dust Sensor (RDS) that measures the solar irradiance at dierent wavelengths and geometries. We analyzed the RDS observations made during twilight for the period between sol 71 and 492 of the mission (Ls 39-262) to characterize the clouds over the Perseverance rover site. Using the ratio between the irradiance at zenith at 450 and 750 nm, we inferred that the main constituent of the detected high-altitude aerosol layers was ice from Ls= 39 to 150 (cloudy period), an dust from Ls 150-262. A total of 161 twilights were analyzed in the cloudy period using a radiative transfer code and we found: i) signatures of clouds/hazes in the signals in the 58 % of the twilights; ii) most of the clouds had altitudes between 40-50 km, suggesting water ice composition, and had particle sizes between 0.6 and 2 m; iii) the cloud activity at sunrise is slightly higher that at sunset, likely due to the dierences in temperature; iv) the time period with more cloud detections and with the greatest cloud opacities is during Ls 120-150; and v) a notable decrease in the cloud activity around the aphelion, along with lower cloud altitudes and opacities. This decrease in cloud activity indicates lower concentrations of water vapor or cloud condensation nuclei (dust) around this period in the Martian mesosphere.
DOI: 10.48577/jpl.zty9rh
title: LES for PBL studies, parameterizations, and OSSEs

description: No abstract available.
DOI: 10.48577/jpl.ppree9
title: Test and Evaluation for Deep-Space Autonomous Systems

description: No abstract available.
DOI: 10.48577/jpl.wryvn2
title: Bayesian Rules of Thumb

description: No abstract available.
DOI: 10.48577/jpl.jpodam
title: ECOSTRESS Observation of the Nishinoshima Eruption Plume

description: No abstract available.
DOI: 10.48577/jpl.kfdw0f
title: Tools for Measuring Concept Maturity

description: No abstract available.
DOI: 10.48577/jpl.vtymxa
title: The “Data, Information, Knowledge and Wisdom” Model

description: No abstract available.
DOI: 10.48577/jpl.hyp9by
title: Generating a Compelling Science Mission Concept

description: No abstract available.
DOI: 10.48577/jpl.4cutgr
title: Science Goals and Objectives

description: No abstract available.
DOI: 10.48577/jpl.noby3b
title: Science Return Diagramming

description: No abstract available.
DOI: 10.48577/jpl.cp2mya
title: Science Traceability Matrix (STM)

description: No abstract available.
DOI: 10.48577/jpl.l6dkor
title: ECCO-Darwin: A Data-Constrained, Global Ocean Ecology and Biogeochemistry Model

description: No abstract available.
DOI: 10.48577/jpl.mxywoy
title: Updates to the Analogy Software Costing Tool (ASCoT) and the Online NASA Space Estimation Tools (ONSET)

description: No abstract available.
DOI: 10.48577/jpl.roij1e
title: Additively Manufactured Thermal Dissipation Technology In CubeSats

description: No abstract available.
DOI: 10.48577/jpl.uouyiq
title: An Update on the Development of Skutterudite-Based Thermoelectric Technology for Integration into a Potential Enhanced Multi-Mission Radioisotope Thermoelectric Generator

description: No abstract available.
DOI: 10.48577/jpl.p1uc1g
title: Towards Generalized Feature Fitting for Imaging Spectroscopy

description: No abstract available.
DOI: 10.48577/jpl.fhnrui
title: Let's talk IDEA in Planetary Science

description: No abstract available.
DOI: 10.48577/jpl.kp3dwx
title: Systems Engineering of Aerospace Missions

description: No abstract available.
DOI: 10.48577/jpl.0aawlv
title: NASA Instrument Cost Model: NICM 10 Preview

description: No abstract available.
DOI: 10.6084/m9.figshare.22682104
title: passaging

description: meth data
DOI: 10.6084/m9.figshare.22682104.v3
title: passaging

description: meth data
DOI: 10.6084/m9.figshare.22682104.v2
title: passaging

description: meth data
DOI: 10.48577/jpl.gf0pwr
title: In-Flight Validation of the Landsat 7,8,9 Thermal Channel Using Automated Validation Sites at Lake Tahoe CA/NV and Salton Sea CA

description: No abstract available.
DOI: 10.48577/jpl.2d2s3w
title: Pros and Cons of a C++ Flow vs. a SystemC Flow for the Harris Corner Detector

description: No abstract available.
DOI: 10.48577/jpl.kqbn9f
title: Considerations for Backward Planetary Protection in Mars Sample Return Planning: Biological Safety from Flight to Facilities

description: No abstract available.
DOI: 10.48577/jpl.ofuln3
title: The RSD Sorting Hat

description: No abstract available.
DOI: 10.48577/jpl.qmrag6
title: Starburst: A Revolutionary Under-Constrained Adaptable Deployable Structure Architecture

description: No abstract available.
DOI: 10.48577/jpl.bxfqe4
title: Observational Products for End-Users from Remote Sensing Analysis (highlight slide)

description: No abstract available.
DOI: 10.48577/jpl.2pvcyr
title: Effective Sensitivity Analyses of Radar Systems in Formation Flying using Differential Algebra

description: Spacecraft Formation Flying is a technology that has been increasingly used in recent years. Distributed formations of low-cost SmallSats, both deployable and free-flying, can provide mission ca- pability comparable to or greater than large monolithic spacecraft, but with greatly improved flexibility (adaptability, scalability, evolvability and maintainability) and robustness (reliability, survivability and fault tolerance). These advantages are accompanied by an increase in complexity in maintaining and managing the system. Especially in the case of systems whose purpose is the creation of Synthetic Aper- ture Radar (SAR), relative positions and relative velocities must be finely controlled so that the acquired data are not partially or totally corrupted. Several studies deal with the active and passive control of satellite formations with the aim of minimizing the fuel needed to carry out orbital correction maneuvers or to lengthen the life of the mission. Such works often take place in a deterministic context. Accurate simulations must take into account the uncertainties affecting the quantities involved. In reality, the initial state of the system may not be known precisely, so it should be treated as a random variable. In this context, uncertainty propagation helps to know how the uncertainty on the initial state influences the uncertainty on the final state when the system is subject to complex nonlinear dynamics. The Monte- Carlo procedure (MC) is the best known and most intuitive method for uncertainty propagation. The problem is that in case of large state vectors (as in the case of control of satellite formations with 6-DoF dynamics control) or of propagation of the system for multiple orbits, MC is difficult to implement due to the high computational cost. In this paper, a different methodology based on Differential Algebra (DA) is presented. DA is able to obtain the same information as the classical MC method in a shorter amount of time, at the cost of an acceptable loss of accuracy. In particular, we present simulation studies of Uncertainty Propagation and Sensitivity Analysis applied to Formation Flying by using DA, and discuss the advantages and disadvantages with respect to the MC method.
DOI: 10.48577/jpl.fpifzq
title: ONBOARD PLANNING FOR THE MARS 2020 PERSEVERANCE ROVER

description: The Mars 2020 Mission is developing a scheduler for use onboard the Mars 2020 Perseverance Rover. The purpose of this scheduler is to adjust the activities to account for variances in onboard resources (e.g. available energy) or execution (e.g. activity failures or activities taking shorter or longer than expected). The onboard scheduler is a priority-first non backtracking scheduler. The scheduling problem is challenged by: (1) limited onboard computing resources; (2) scheduler/execution interactions; (3) energy management including scheduling of wakeup and shutdown; (4) and thermal management (preheat and maintenance heating for mechanical actuation). We overview how these challenges are addressed in the scheduler design. We also discuss the ground software being developed to support operations with onboard autonomy. We also describe the current status and target deployment timeline.
DOI: 10.48577/jpl.10ntvi
title: SPARTA-A New Geotechnical Tool for Subsurface Exploration

description: Detailed characterization of the subsurface properties of in situ planetary regolith is critical to many applied areas in planetary science, astrobiology, space engineering, and to the operational success of all future science missions involving surface or near-surface contact. Understanding the geomechanical properties of planetary regolith, as well as determining the presence and the chemical potentials of liquid water and water-ice, are both central to NASA’s exploration strategy for future manned long-term exploration of the Moon and Mars. SPARTA (Regolith Properties Assessment, Resistance, Thermal, Analysis) is a highly versatile, miniature toolkit that provides NASA with a new capability for in situ measurements of mechanical, thermal, electrical, and chemical properties of dry or icy regolith and permafrost during surface-landed missions. SPARTA is designed for planetary bodies such as the Moon, Mars, Mercury, Venus, asteroids, and comets with or without atmospheres, that may/may not contain water/ice.
DOI: 10.48577/jpl.ob6jok
title: MATERIAL PREDICTION FOR DESIGN AUTOMATION USING GRAPH REPRESENTATION LEARNING

description: Successful material selection is critical in designing and manufacturing products for design automation. Designers leverage their knowledge and experience to create high-quality designs by selecting the most appropriate materials through performance, manufacturability, and sustainability evaluation. Intelligent tools can help designers with varying expertise by providing recommendations learned from prior designs. To enable this, we introduce a graph representation learning framework that supports the material prediction of bodies in assemblies. We formulate the material selection task as a node-level prediction task over the assembly graph representation of CAD models and tackle it using Graph Neural Networks (GNNs). Evaluations over three experimental protocols performed on the Fusion 360 Gallery dataset indicate the feasibility of our approach, achieving a 0.75 top-3 micro-F1 score. The proposed framework can scale to large datasets and incorporate designers’ knowledge into the learning process. These capabilities allow the framework to serve as a recommendation system for design automation and a baseline for future work, narrowing the gap between human designers and intelligent design agents.
DOI: 10.6084/m9.figshare.22688191
title: Restoring particulate and mineral-associated organic carbon through regenerative agriculture

description: Sustainability of agricultural production and mitigation of global warming rely on the regeneration of soil organic carbon (SOC), in particulate organic carbon (POC) and mineral-associated organic carbon (MAOC) forms. We conducted a global systematic meta-analysis of the effects of regenerative management practices on SOC, POC, and MAOC in cropland, finding: 1) no-till (NT) and cropping system intensification increase SOC (11.3% and 12.4%, respectively), MAOC (8.5% and 7.1%, respectively), and POC (19.7% and 33.3%, respectively) in topsoil (0 to 20 cm), but not in subsoil (&gt;20 cm); 2) experimental duration, tillage frequency, the intensification type, and rotation diversity moderate the effects of regenerative management; and 3) NT synergized with crop–livestock systems to greatly increase POC (38.1%) and cropping intensification synergized with crop–livestock systems to greatly increase MAOC (33.1 to 53.6%). This analysis shows that regenerative agriculture is a key strategy to reduce the soil C deficit inherent to agriculture to promote both soil health and long-term C stabilization.
DOI: 10.6084/m9.figshare.20405435
title: A Generalized Integration Approach to Association Analysis with Multi-category Outcome: An Application to a Tumor Sequencing Study of Colorectal Cancer and Smoking

description: Cancer is a heterogeneous disease, and rapid progress in sequencing and -omics technologies has enabled researchers to characterize tumors comprehensively. This has stimulated an intensive interest in studying how risk factors are associated with various tumor heterogeneous features. The Cancer Prevention Study-II (CPS-II) cohort is one of the largest prospective studies, particularly valuable for elucidating associations between cancer and risk factors. In this article, we investigate the association of smoking with novel colorectal tumor markers obtained from targeted sequencing. However, due to cost and logistic difficulties, only a limited number of tumors can be assayed, which limits our capability for studying these associations. Meanwhile, there are extensive studies for assessing the association of smoking with overall cancer risk and established colorectal tumor markers. Importantly, such summary information is readily available from the literature. By linking this summary information to parameters of interest with proper constraints, we develop a generalized integration approach for polytomous logistic regression model with outcome characterized by tumor features. The proposed approach gains the efficiency through maximizing the joint likelihood of individual-level tumor data and external summary information under the constraints that narrow the parameter searching space. We apply the proposed method to the CPS-II data and identify the association of smoking with colorectal cancer risk differing by the mutational status of APC and RNF43 genes, neither of which is identified by the conventional analysis of CPS-II individual data only. These results help better understand the role of smoking in the etiology of colorectal cancer. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.20405435.v2
title: A Generalized Integration Approach to Association Analysis with Multi-category Outcome: An Application to a Tumor Sequencing Study of Colorectal Cancer and Smoking

description: Cancer is a heterogeneous disease, and rapid progress in sequencing and -omics technologies has enabled researchers to characterize tumors comprehensively. This has stimulated an intensive interest in studying how risk factors are associated with various tumor heterogeneous features. The Cancer Prevention Study-II (CPS-II) cohort is one of the largest prospective studies, particularly valuable for elucidating associations between cancer and risk factors. In this article, we investigate the association of smoking with novel colorectal tumor markers obtained from targeted sequencing. However, due to cost and logistic difficulties, only a limited number of tumors can be assayed, which limits our capability for studying these associations. Meanwhile, there are extensive studies for assessing the association of smoking with overall cancer risk and established colorectal tumor markers. Importantly, such summary information is readily available from the literature. By linking this summary information to parameters of interest with proper constraints, we develop a generalized integration approach for polytomous logistic regression model with outcome characterized by tumor features. The proposed approach gains the efficiency through maximizing the joint likelihood of individual-level tumor data and external summary information under the constraints that narrow the parameter searching space. We apply the proposed method to the CPS-II data and identify the association of smoking with colorectal cancer risk differing by the mutational status of APC and RNF43 genes, neither of which is identified by the conventional analysis of CPS-II individual data only. These results help better understand the role of smoking in the etiology of colorectal cancer. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.20405435.v1
title: A Generalized Integration Approach to Association Analysis with Multi-category Outcome: An Application to a Tumor Sequencing Study of Colorectal Cancer and Smoking

description: Cancer is a heterogeneous disease, and rapid progress in sequencing and -omics technologies has enabled researchers to characterize tumors comprehensively. This has stimulated an intensive interest in studying how risk factors are associated with various tumor heterogeneous features. The Cancer Prevention Study-II (CPS-II) cohort is one of the largest prospective studies, particularly valuable for elucidating associations between cancer and risk factors. In this paper, we investigate the association of smoking with novel colorectal tumor markers obtained from targeted sequencing. However, due to cost and logistic difficulties, only a limited number of tumors can be assayed, which limits our capability for studying these associations. Meanwhile, there are extensive studies for assessing the association of smoking with overall cancer risk and established colorectal tumor markers. Importantly, such summary information is readily available from the literature. By linking this summary information to parameters of interest with proper constraints, we develop a generalized integration approach for polytomous logistic regression model with outcome characterized by tumor features. The proposed approach gains the efficiency through maximizing the joint likelihood of individual-level tumor data and external summary information under the constraints that narrow the parameter searching space. We apply the proposed method to the CPS-II data and identify the association of smoking with colorectal cancer risk differing by the mutational status of APC and RNF43 genes, neither of which is identified by the conventional analysis of CPS-II individual data only. These results help better understand the role of smoking in the etiology of colorectal cancer.
DOI: 10.5281/zenodo.7860748
title: 4982_Table S1

description: Supplementary Table S1. Sequence alignments of the 18S rDNA gene of the identified MOTUs of planktonic gastropods. Gaps are indicated by a dash.
description: Supplementary Table S1 of the article "Diversity of planktonic gastropods from western Baja California Peninsula assessed by 18S rDNA sequences".
DOI: 10.5281/zenodo.7860747
title: 4982_Table S1

description: Supplementary Table S1. Sequence alignments of the 18S rDNA gene of the identified MOTUs of planktonic gastropods. Gaps are indicated by a dash.
description: Supplementary Table S1 of the article "Diversity of planktonic gastropods from western Baja California Peninsula assessed by 18S rDNA sequences".
DOI: 10.34740/kaggle/dsv/5513409
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.21227/y4ss-5615
title: Exogenous Variables Influence on Time Series Data Synchronization Applied to a Power Substation Equipment

description: Between June 5th, and June 24th, 2022, thermographic acquisitions were performed on the disconnect to obtain its maximum temperature, a thermal camera was installed in the studied substation and pointed to a threephase 69 kV disconnect. Additionally, air temperature (°C), solar incidence (W/m²), wind speed (m/s), and air humidity (%) data were collected every minute througha weather station. The energy company also provided minute-wise load current (A) measurements through the disconnect under study.
DOI: 10.5281/zenodo.7860755
title: Historico resultados futbol y baloncesto

description: Este dataset contiene el historial de resultados de partidos tanto de fútbol como de baloncesto obtenidos de la web oficial del periódico diario As. Este dataset contiene datos desde la fecha actual (25/04/2023) hasta el 11/02/2021 (última fecha con registros almacenados en la web de As).
DOI: 10.5281/zenodo.7860754
title: Historico resultados futbol y baloncesto

description: Este dataset contiene el historial de resultados de partidos tanto de fútbol como de baloncesto obtenidos de la web oficial del periódico diario As. Este dataset contiene datos desde la fecha actual (25/04/2023) hasta el 11/02/2021 (última fecha con registros almacenados en la web de As).
DOI: 10.5519/qd.y5fpppms
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc2dz1s7
title: CCDC 2233419: Experimental Crystal Structure Determination

description: Related Article: Meng-Yang Chang, Chi-Ruei Guo, Chin-Huei Ho|2023|J.Mol.Struct.|1285|135478|doi:10.1016/j.molstruc.2023.135478
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dz1t8
title: CCDC 2233420: Experimental Crystal Structure Determination

description: Related Article: Meng-Yang Chang, Chi-Ruei Guo, Chin-Huei Ho|2023|J.Mol.Struct.|1285|135478|doi:10.1016/j.molstruc.2023.135478
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.