Interferometric tracking system for the tracking and data relay satellite

This report documents construction and testing of the Interferometric Tracking System project developed under the NASA SBIR contract NAS5-30313. Manuals describing the software and hardware, respectively entitled: 'Field Station Guide to Operations' and 'Field Station Hardware Manual' are included as part of this final report. The objective of this contract was to design, build, and operate a system of three ground stations using Very Long Baseline Interferometry techniques to measure the TDRS orbit. The ground stations receive signals from normal satellite traffic, store these signals in co-located computers, and transmit the information via phone lines to a central processing site which correlates the signals to determine relative time delays. Measurements from another satellite besides TDRS are used to determine clock offsets. A series of such measurements will ultimately be employed to derive the orbital parameters, yielding positions accurate to within 50 meters or possibly better

A Guide to Enterotypes across the Human Body: Meta-Analysis of Microbial Community Structures in Human Microbiome Datasets

Recent analyses of human-associated bacterial diversity have categorized individuals into ‘enterotypes’ or clusters based on the abundances of key bacterial genera in the gut microbiota. There is a lack of consensus, however, on the analytical basis for enterotypes and on the interpretation of these results. We tested how the following factors influenced the detection of enterotypes: clustering methodology, distance metrics, OTU-picking approaches, sequencing depth, data type (whole genome shotgun (WGS) vs.16S rRNA gene sequence data), and 16S rRNA region. We included 16S rRNA gene sequences from the Human Microbiome Project (HMP) and from 16 additional studies and WGS sequences from the HMP and MetaHIT. In most body sites, we observed smooth abundance gradients of key genera without discrete clustering of samples. Some body habitats displayed bimodal (e.g., gut) or multimodal (e.g., vagina) distributions of sample abundances, but not all clustering methods and workflows accurately highlight such clusters. Because identifying enterotypes in datasets depends not only on the structure of the data but is also sensitive to the methods applied to identifying clustering strength, we recommend that multiple approaches be used and compared when testing for enterotypes

Simulated residual nitrogen scavenging and recovery among cover crop systems using nitrogen-15 in a corn production setting

Nitrogen recovery and contribution to production agricultural systems are critical services provided by cover crops investigated in this study. Research was conducted to evaluate the effect of simulated residual N (SRN) on N recovery in various winter cover crop systems (CCS) and subsequent effects on corn N uptake. Biomass, C and N measurements, 15N recovery, and sources of N acquisition were quantified among CCS. Subsequently, CCS and SRN effects on corn productivity and N status were quantified. Grass-included CCS had the greatest N scavenging ability by CCS termination, though they had negative or neutral effects on corn N acquisition. Brassicas-included CCS were prolific early season N scavengers, though winterkill may have negated this effect. Legumes-included CCS generally accumulated large quantities of N and had narrow C:N ratios, positively affecting corn N acquisition. This study highlights the importance of context-specific CCS selection for N conservation

Tropospheric Modeling Improvement

The work performed under this contract provides for the improvement of modeling of troposphere propagation delay in VLBI data, defining of required accuracy of ancillary data type(s) to measure tropospheric behavior, and to develop a clear correspondence between tropospheric behavior and the quality of geodetic VLBI measurements

Dynamics of the solid earth

The work performed under this contract provides for the improvement of modeling of troposphere propagation delay in very long base interferometry (VLBI) data, defining of required accuracy of ancillary data type(s) to measure tropospheric behavior and to develop a clear correspondence between tropospheric behavior and the quality of geodetic VLBI measurements

The Human Microbiome Project: A Community Resource for the Healthy Human Microbiome

The Human Microbiome Project (HMP) [1],[2] is a concept that was long in the making. After the Human Genome Project, interest grew in sequencing the “other genome" of microbes carried in and on the human body [3],[4]. Microbial ecologists, realizing that >99% of environmental microbes could not be easily cultured, developed approaches to study microorganisms in situ [5], primarily by sequencing the 16S ribosomal RNA gene (16S) as a phylogenetic and taxonomic marker to identify members of microbial communities [6]. The need to develop corresponding new methods for culture-independent studies [7],[8] in turn precipitated a sea change in the study of microbes and human health, inspiring the new term “metagenomics" [9] both to describe a technological approach—sequencing and analysis of the genes from whole communities rather than from individual genomes—and to emphasize that microbes function within communities rather than as individual species. This shift from a focus on individual organisms to microbial interactions [10] culminated in a National Academy of Science report [11], which outlined challenges and promises for metagenomics as a way of understanding the foundational role of microbial communities both in the environment and in human health.National Institutes of Health (U.S.) (grant U54HG004969)National Institutes of Health (U.S.) (grant U54HG004973)National Institutes of Health (U.S.) (grant U54AI084844)National Institutes of Health (U.S.) (grant U01HG004866)National Institutes of Health (U.S.) (grant R01HG005969)National Institutes of Health (U.S.) (grant R01HG004872)United States. Army Research Office (grant W911NF-11-1-0473)National Science Foundation (U.S.) (NSF DBI-1053486)Howard Hughes Medical Institute (Early Career Scientist

Intracanopy adjustment of leaf-level thermal tolerance is associated with microclimatic variation across the canopy of a desert tree (Acacia papyrocarpa)

© 2018, Springer-Verlag GmbH Germany, part of Springer Nature. Tree crowns are spatially heterogeneous, sometimes resulting in significant variation in microclimate across the canopy, particularly with respect to temperature. Yet it is not known whether such localised temperature variation equates to intracanopy variation in leaf-level physiological thermal tolerance. Here, we studied whether microclimate variation across the canopy of a dominant desert tree equated to localised variation in leaf thermal thresholds (T 50 ) among four canopy positions: upper south, upper north, lower south, lower north. Principal component analysis was used to generate a composite climatic stress variable (C STRESS ) from canopy temperature, vapour pressure deficit, and relative humidity. We also determined the average number of days that maximum temperatures exceeded the air temperature equating to this species’ critical threshold of 49 °C (AT 49 ). To estimate how closely leaf temperatures track ambient temperature, we predicted the thermal time constant (τ) for leaves at each canopy position. We found that C STRESS and AT 49 were significantly greater in lower and north-facing positions in the canopy. Differences in wind speed with height resulted in significantly longer predicted τ for leaves positioned at lower, north-facing positions. Variation in these drivers was correlated with significantly higher T 50 for leaves in these more environmentally stressful canopy positions. Our findings suggest that this species may optimise resources to protect against thermal damage at a whole-plant level. They also indicate that, particularly in desert environments with steep intracanopy microclimatic gradients, whole-plant carbon models could substantially under- or overestimate productivity under heat stress, depending on where in the canopy T 50 is measured