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  1. Data for: Authigenic Mineral Textures in Submarine 1979 Basalt Drill Core, Surtsey Volcano, Iceland

    Work
    Description: Micrometer-scale maps of authigenic microstructures in submarine basaltic tuff from a 1979 Surtsey volcano, Iceland, drill core acquired 15 years after eruptions terminated describe the initial alteration of oceanic basalt in a low temperature hydrothermal system. An integrative investigative approach uses synchrotron source X-ray microdiffraction (µXRD), microfluoresence (µXRF), micro-computed tomography (µCT), and scanning transmission electron microscopy (S/TEM) coupled with Raman spectroscopy to create finely resolved spatial frameworks that record a continuum of alteration in glass and olivine. Micro-analytical maps of vesicular and fractured lapilli in specimens from 157.1, 137.9, and 102.6 m depth, and borehole temperatures of 83, 93.9 and 141.3 °C measured in 1980, respectively, describe the production of nanocrystalline clay mineral, zeolites, and Al-tobermorite in diverse microenvironments. Irregular alteration fronts at 157.1 m depth resemble microchannels associated with biological activity in older basalts. By contrast, linear microstructures with little resemblance to previously described alteration features have nanocrystalline clay mineral (nontronite) and zeolite (amicite) texture. The crystallographic preferred orientation rotates around an axis parallel to the linear feature. Raman spectra indicating degraded and poorly-ordered carbonaceous matter of possible biological origin are associated with nanocrystalline clay mineral in a crystallographically-oriented linear microstructure in altered olivine at 102.6 m and with sub-circular nanoscale cavities in altered glass at 137.9 m depth. Although evidence for biotic processes is inconclusive, the integrated analyses describe the complex organization of previously unrecognized mineral texture in very young basalt. They provide a foundational mineralogical reference for longitudinal, time-lapse characterizations of palagonitized basalt in oceanic environments.
    Keyword: Submarine basalt, Glass alteration, Micrometer-scale maps, X-ray microdiffraction, Surtsey volcano
    Creator: Tamura, Nobumichi, Parkinson, Dula, Stan, Camelia V. , Czabaj, Michael W., Jackson, Marie D., Miyagi, Lowell M. , Moore, James G. , Couper, Samantha, and Ivarsson, Magnus
    Owner: Marie Jackson
    Location: Surtsey volcano, Iceland
    Date Uploaded: 05/21/2019
    Date Modified: 05/24/2019
    Date Created: 2016-2019
    Rights: CC BY NC - Allows others to use and share your data non-commercially and with attribution.
    Resource Type: Other
    Identifier: https://doi.org/10.7278/S50D-VJND-8V00
    Contact Email: m.d.jackson@utah.edu
    Funders: The College of Mines and Earth Sciences at University of Utah provided funding support. This research made use of University of Utah USTAR shared facilities supported, in part, by the MRSEC Program of NSF under Award No. DMR-1121252. Data acquired at ALS beamlines 12.3.2. and 8.3.2 at Lawrence Berkeley Laboratories were supported by the Director of the Office of Science, Department of Energy, under Contract No. DE-AC02-05CH11231.
  2. Datasets for: A Pluto-Charon Sonata: Dynamical Limits on the Masses of the Small Satellites

    Work
    Description: --------------------- DATA & FILE OVERVIEW --------------------- Files summarized in items 1-8 are binary output files from n-body simulations as described in Kenyon & Bromley, "A Pluto-Charon Sonata: Dynamical Limits on fate Masses of the Small Satellites" (2019, Astronomical Journal). Files described in item 9 are ascii txt. The C programs in items 10, 11, and 12 provide different ways to access the binary output. Each C program describes the architecture of the binary files. 1. pcs2-0mmm-nnn[a-z] files: heavy satellites, mmm = 100 x mass factor for all satellites, nnn = number of Symplectic steps per PC orbit, a-z = version 2. pcs2-1mmm-nnn[a-z] files: light satellites, mmm = 100 x mass factor for all satellites, nnn = number of Symplectic steps per PC orbit, a-z = version 3. pcs2-2mmm-nnn[a-z] files: light satellites with 2x nominal mass of Styx & Kerberos, mmm = 100 x mass factor for all satellites, nnn = number of Symplectic steps per PC orbit, a-z = version 4. pcs2-3mmm: heavy satellites, 40 Symplectic steps per PC orbit, mmm = 100 x mass factor for Nix only 5. pcs2-4mmm: heavy satellites, 40 Symplectic steps per PC orbit, mmm = 100 x mass factor for Kerberos only 6. pcs2-5mmm: heavy satellites, 40 Symplectic steps per PC orbit, mmm = 100 x mass factor for Hydra only 7. pcs2-6mmm light satellites, 40 Symplectic steps per PC orbit, mmm = 100 x mass factor for Nix only 8. pcs2-7mmm: light satellites, 40 Symplectic steps per PC orbit, mmm = 100 x mass factor for Hydra only 9. pcs2-n000.dat: summary of lifetimes for binary files in each archive 10. lifetime.c: summarizes lifetime and mass factor for binary file usage example: "lifetime pcs2-6110" 11. summary.c: generates basic summary of timesteps in a binary file usage example: "summary pcs1-0013d" 12. extrxyz.c: extracts (x,y,z) for N satellites and outputs (x,y,z) usage example: "extr6d pcs1-6110 6" will output (x,y,z) for SNKH 3. Additional related data collected that was not included in the current data package: There are other binary output files not included in this archive. 4. Are there multiple versions of the dataset? no -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: The data were generated by computer simulations using the C++ code "Orchestra", a proprietary hybrid code that follows the dynamical evolution of solids and gas orbiting a central object. Algorithms in the code are described in the following papers (author names abbreviated to B for Bromley, K for Kenyon, and L for Jane X Luu along with a year for publication date, AJ = Astronomical Journal, ApJ = Astrophysical Journal, S=Supplement): KL1998, AJ 115:2136; KL1999, AJ 118:1101; KB2001,AJ 121:538; KB2002,AJ 123:1757; KB2004, AJ 127:513; BK2006, AJ 131:2737; KB2006, AJ 131:1837; KB2008, ApJS 179:451; KB2010, ApJS 188:242; BK2011, ApJ 731:101; KB2012, AJ 143:63; KB2014, AJ 147:8. Initial conditions for these simulations described in the published paper. 2. Methods for processing the data: Various C and fortran programs are used to analyze the data for the calculations. Several C programs needed to extract information from the computer generated binary output files are included with the dataset. The C programs include basic summaries of the structure of the data files and the usage to extract data from each binary file. 3. Instrument- or software-specific information needed to interpret the data: Appropriate software is included in directory. 4. Standards and calibration information, if appropriate: none 5. Environmental/experimental conditions: all calculations were run on the NASA discover cluster 6. Describe any quality-assurance procedures performed on the data: Aside from tests summarized in the papers described in item 1, test calculations are summarized in the Appendix of each paper and compared to an appropriate benchmark. 7. People involved with sample collection, processing, analysis and/or submission: Scott Kenyon and Ben Bromley
    Keyword: planets and satellites: dynamical evolution and stability; Pluto and Charon
    Creator: Kenyon, Scott and Bromley, Benjamin
    Owner: Benjamin Bromley
    Date Uploaded: 05/20/2019
    Date Modified: 05/24/2019
    Date Created: 2018-2019
    Rights: CC BY NC - Allows others to use and share your data non-commercially and with attribution.
    Resource Type: Dataset
    Identifier: https://doi.org/10.7278/S50D-HAJT-E0G0
    Contact Email: bromley@physics.utah.edu
    Funders: NASA
  3. Dataset for NSF grant: Jurassic Navajo Sandstone - Moab Utah area localities

    Work
    Description: This project was a NSF-funded collaborative research project entitled: Collaborative Research: Deciphering Eolian Paleoenvironmental and Hydrodynamic records: Lower Jurassic Navajo Sandstone, Colorado Plateau, USA This was a multifaceted interdisciplinary study of the Lower Jurassic Navajo Sandstone (Ss)--a unique and distinctive unit in all of geologic history. This unit represents the largest known ancient desert (erg), and is typically classified as a record of a hyperarid environment. Furthermore, the Navajo Ss was deposited at a time when mammals were undergoing their first major diversification, and dinosaurs began to dominate the landscape in number and diversity. Our goal was to examine sedimentary features of the erg margin that recorded the active paleohydrology of the desert regime, and examine abundant trace- and body-fossil material to more fully document the structure and evolution of the biota in a variably arid landscape through Navajo Ss deposition. Field studies involved sedimentology and paleoecology. Laboratory studies involved isotope geochemistry of carbonate deposits, as well as thin section petrography.
    Keyword: eolian, Utah, Moab, sedimentology, geology, paleoecology, Jurassic Navajo Sandstone, and field study
    Creator: Chan, Marjorie A.
    Owner: Marjorie Chan
    Location: Moab, Utah
    Date Uploaded: 03/25/2019
    Date Modified: 04/05/2019
    Date Created: May 2015-May 2017
    Rights: Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
    Resource Type: Dataset
    Identifier: https://doi:10.7278/S50D-D7DX-GJG0
    Contact Email: marjorie.chan@utah.edu
    Funders: Canyonlands Natural History Association and U.S. National Science Foundation
  4. Data to support: Phylogenetic and biogeographic controls of plant nighttime stomatal conductance

    Work
    Description: • The widely documented phenomenon of nighttime stomatal conductance (gsn) could lead to substantial water loss with no carbon gain, and thus it remains unclear whether nighttime stomatal conductance confers a functional advantage. Given that studies of gsn have focused on controlled environments or small numbers of species in natural environments, a broad phylogenetic and biogeographic context could provide insights into potential adaptive benefits of gsn. • We measured gsn on a diverse suite of species (n = 73) across various functional groups and climates-of-origin in a common garden to study the phylogenetic and biogeographic/climatic controls on gsn and further assessed the degree to which gsn co-varied with leaf functional traits and daytime gas exchange rates. • Closely related species were more similar in gsn than expected by chance. Herbaceous species had higher gsn than woody species. Species that typically grow in climates with lower mean annual precipitation – where the fitness cost of water loss should be the highest – generally had higher gsn. • Our results reveal the highest gsn rates in species from environments where neighboring plants compete most strongly for water, suggesting a possible role for the competitive advantage of gsn.
    Keyword: nighttime stomata, competition, biogeographic, herbaceous species, woody species, adaption, water resource, gas exchange, phylogenetic, and climate controls
    Creator: Anderegg, William and Yu, Kailiang
    Owner: Kailiang Yu
    Location: Red Butte Garden, Salt Lake City, Utah
    Date Uploaded: 02/04/2019
    Date Modified: 02/19/2019
    Date Created: 2018 May through August
    Rights: CC BY NC - Allows others to use and share your data non-commercially and with attribution.
    Resource Type: Dataset
    Identifier: https://doi.org/10.7278/S50D-E9J1-NYG0
    Contact Email: anderegg@utah.edu
    Funders: USDA National Institute of Food and Agriculture, Agricultural and Food Research Initiative Competitive Programme, Ecosystem Services and Agro-ecosystem Management, University of Utah Global Change and Sustainability Center, David and Lucille Packard Foundation, and U.S. National Science Foundation
  5. Supporting data for 'Tree carbon allocation explains forest drought-kill and recovery patterns'.

    Work
    Description: The mechanisms governing tree drought mortality and recovery remain a subject of inquiry and active debate given their role in the terrestrial carbon cycle and their concomitant impact on climate change. Counter-intuitively, many trees do not die during the drought itself. Indeed, observations globally have documented that trees often grow for several years after drought before mortality. A combination of meta-analysis and tree physiological models demonstrate that optimal carbon allocation after drought explains observed patterns of delayed tree mortality and provides a predictive recovery framework. Specifically, post-drought, trees attempt to repair water transport tissue and achieve positive carbon balance through regrowing drought-damaged xylem. Further, the number of years of xylem regrowth required to recover function increases with tree size, explaining why drought mortality increases with size. These results indicate that tree resilience to drought-kill may increase in the future, provided that CO2 fertilization facilitates more rapid xylem regrowth.
    Keyword: drought, optimality theory, hydraulic-carbon coupling, CO2 fertilization, carbon metabolism, and vegetation model
    Creator: Schwalm, C., Detto, M., Bartlett, M. K., Schahher, B., Anderegg, W. R. L., Trugman, Anna T., Medvigy, D., and Pacala, S. W.
    Owner: Anna Trugman
    Date Uploaded: 08/08/2018
    Date Modified: 10/25/2018
    Date Created: Spring 2018
    Rights: CC BY NC - Allows others to use and share your data non-commercially and with attribution.
    Resource Type: Dataset
    Identifier: https://doi.org/10.7278/S5N29V4F
    Contact Email: a.trugman@utah.edu
    Funders: USDA National Institute of Food and Agriculture Postdoctoral Research Fellowship Grant No. 2017-07164
  6. BIG-LoVE data

    Work
    Description: Background. Common cold viruses create significant health and financial burdens, and understanding key loci of transmission would help focus control strategies. This study (1) examines factors that influence when individuals transition from a negative to positive test (acquisition) or a positive to negative test (loss) of rhinovirus (HRV) and other respiratory tract viruses in 26 households followed weekly for one year, (2) investigates evidence for intrahousehold and interhousehold transmission and the characteristics of individuals implicated in transmission, and (3) builds data-based simulation models to identify factors that most strongly affect patterns of prevalence. Methods. We detected HRV, coronavirus, paramyxovirus, influenza and bocavirus with the FilmArray polymerase chain reaction (PCR) platform (BioFire Diagnostics, LLC). We used logistic regression to find covariates affecting acquisition or loss of HRV including demographic characteristics of individuals, their household, their current infection status, and prevalence within their household and across the population. We apply generalized linear mixed models to test robustness of results. Results. Acquisition of HRV was less probable in older individuals and those infected with a coronavirus, and higher with a higher proportion of other household members infected. Loss of HRV is reduced with a higher proportion of other household members infected. Within households, only children and symptomatic individuals show evidence for transmission, while between households only a higher number of infected older children (ages 5-19) increases the probability of acquisition. Coronaviruses, paramyxoviruses and bocavirus also show evidence of intrahousehold transmission. Simulations show that age-dependent susceptibility and transmission have the largest effects on mean HRV prevalence. Conclusions. Children are most likely to acquire and most likely to transmit HRV both within and between households, with infectiousness concentrated in symptomatic children. Simulations predict that the spread of HRV and other respiratory tract viruses can be reduced but not eliminated by practices within the home.
    Keyword: viral epidemiology, longitudinal study, Utah, viral interactions, epidemiology, coronavirus, rhinovirus, respiratory disease, and respiratory tract virus
    Creator: Frederick R. Adler
    Contributor: Andrew Pavia, Carrie L. Byington, and Krow Ampofo
    Owner: Frederick Adler
    Location: Salt Lake City
    Date Uploaded: 07/05/2018
    Date Modified: 10/25/2018
    Date Created: August 2009 - August 2010
    Rights: CC BY NC - Allows others to use and share your data non-commercially and with attribution.
    Resource Type: Dataset
    Identifier: https://doi.org/10.7278/S5XG9P97
    Contact Email: adler@math.utah.edu
    Funders: National Institutes of Health (NIH)/National Institute of Allergy and Infectious Diseases, 21st Century Science Initiative Grant from the James S McDonnell Foundation, The HA and Edna Benning Presidential Endowment, The Primary Children's Hospital Foundation, NIH/National Center for Advancing Translational Sciences, NIH/National Institute of Child Health and Human Development, and Pediatric Clinical and Translational Scholars Program
  7. Supplemental data for 'Soil moisture drought as a major driver of carbon cycle uncertainty", Geophysical Research Letters

    Work
    Description: Future projections suggest an increase in drought globally with climate change. Current vegetation models typically regulate the plant photosynthetic response to soil moisture stress through an empirical function, rather than a mechanistic response where plant water potentials respond to changes in soil water. This representation of soil moisture stress may introduce significant uncertainty into projections for the terrestrial carbon cycle. We examined the use of the soil moisture limitation function in historical and future emissions scenarios in nine Earth system models. We found that soil moisture-limited productivity across models represented a large and uncertain component of the simulated carbon cycle, comparable to 3-286% of current global productivity. Approximately 40-80% of the intermodel variability was due to the functional form of the limitation equation alone. Our results highlight the importance of implementing mechanistic water limitation schemes in models and illuminate several avenues for improving projections of the land carbon sink.
    Keyword: carbon cycle, Water limitation , drought, Gross primary productivity, soil moisture, and Earth system modeling
    Creator: Anderegg, William R.L., Mankin, Justin S., Medvigy, David, and Trugman, Anna T.
    Owner: Anna Trugman
    Date Uploaded: 06/25/2018
    Date Modified: 10/25/2018
    Date Created: Spring 2016
    Rights: CC BY – Allows others to use and share your data, even commercially, with attribution.
    Resource Type: Dataset
    Identifier: https://doi.org/10.7278/S5707ZMS
    Contact Email: a.trugman@utah.edu
    Funders: USDA National Institute of Food and Agriculture, Agricultural and Food Research Initiative Competitive Programme, Ecosystem Services and Agro-ecosystem Management, grant no. 2017-05521, National Science Foundation grant 1714972, US Department of Energy, Office of Science, Office of Biological and Environmental Research, Terrestrial Ecosystem Science (TES) Program award DE-SC0014363 , National Science Foundation Award 1151102 , and USDA National Institute of Food and Agriculture Postdoctoral Research Fellowship Grant No. 2017-07164
  8. SAS Code to Calculate GPQI-2016 Total and Component Scores

    Work
    Description: This SAS program can be used to calculate Grocery Purchase Quality Index-2016 (GPQI-2016) total and component scores from food purchase data (dollars and cents) that have been summarized into the 29 categories of the USDA Food Plans. The code can be adapted to calculate GPQI-2016 scores for data that use a smaller number of categories.
    Keyword: food expenditures, USDA, grocery quality, grocery shopping, nutrition, nutrition informatics, and Healthy Eating Index
    Creator: Guenther, Patricia M, Brewster, Philip J, and Hurdle, John F
    Contributor: Tran, Lethuy and Chidambaram, Valli
    Owner: John Hurdle
    Location: University of Utah
    Date Uploaded: 06/07/2018
    Date Modified: 10/25/2018
    Date Created: 2018
    Rights: CC BY NC - Allows others to use and share your data non-commercially and with attribution.
    Resource Type: Software or Program Code
    Identifier: https://doi.org/10.7278/S5HD7ST1
    Contact Email: john.hurdle@utah.edu
    Funders: National Library of Medicine training grant (T15-LM007124) and USDA National Institute of Food and Agriculture Award No. 2015-67001-24290, Multi-Disciplinary Methods for Effective, Sustainable, and Scalable Evaluations of Nutrition Education Programs
  9. Data for Almishaal et al. “Reactive Oxygen Species and Hearing Loss in Murine CMV Labyrinthitis" 2019

    Work
    Description: The data set includes individual images of mouse cochleae, both scanning electron micrographs and fluorescent micrographs, used to generate aggregated data described in Ali A. Almishaal; Phayvanh P. Sjogren; Pranav D. Mathur; Elaine Hillas;Taelor Johnson; Melissa S. Price; Travis Haller; Jun Yang; Namakkal S. Rajasekaran; Matthew A. Firpo; Albert H. Park (2018) "Reactive Oxygen Species and Hearing Loss in Murine CMV Labyrinthitis".
    Keyword: congenital CMV, distortion-product otoacoustic emissions, herpesviridae, antioxidant, cochlea, outer hair cells, cytomegalovirus, hearing loss, reactive oxygen species, auditory brainstem response, and mouse
    Creator: Firpo, Matthew A.
    Owner: Matthew Firpo
    Location: Salt Lake City, Utah, USA
    Date Uploaded: 05/23/2018
    Date Modified: 01/08/2019
    Date Created: 04082015-11022016
    Rights: CC BY NC - Allows others to use and share your data non-commercially and with attribution.
    Resource Type: Dataset
    Identifier: https://doi.org/10.7278/S50D-D0WT-SV00
    Contact Email: matt.firpo@hsc.utah.edu
    Funders: NIH EY014800, NIH EY020853, Triological Society Career Development Award, and Research to Prevent Blindness Fund