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The Griffindale University research beacons are examples of pioneering discoveries, interdisciplinary collaboration and cross-sector partnerships that are tackling some of the biggest questions facing the planet.

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1970 2025
27 results
  • Ceja et al., 2023 - GLN and Dairy Calf Supplementary Data
    Ceja et al. - J. Dairy Sci. - Supplementary Figures 1, 2 and 3
  • Kentucky bluegrass growth curves
    Dataset describes Kentucky bluegrass production and height throughout two growing seasons in a rangeland system in the northern Great Plains. One year of sampling was during a drought year and one year had average precipitation. 2017 was a drought year and 2018 was an average precipitation year. Dataset also includes the nutritive value of Kentucky bluegrass throughout the season. Dataset can be used for modeling or for grazing planning. 2017 was a drought year and 2018 was an average precipitation year. Some plots were mowed before the growing season to simulate early defoliation. Sampling occurred at the USDA Northern Great Plains Research Laboratory near Mandan, ND (46.7673 N, 100.9184 W) The 6-hectare pasture is at an altitude of 502 m above sea level and is within the temperate steppe ecoregion of the United States. This region is characterized by long, cold winters and short, hot summers. Predominant soil types include Temvik-Wilton silt loams (fine-silty, mixed, superactive, frigid Typic and Pachic Haplustolls). The pasture is on a loamy ecological site (site ID 054XY030ND) and is managed as a native grassland with no fertilization or irrigation. The average soil texture is a clay loam (31% clay, 49% silt, and 20% sand). Average soil chemical characteristics were: pH (H2O) = 6.4; OM = 7.4% LOI; Na (ppm) = 8.25; K (ppm) = 362.4; Ca (ppm) = 1925.4; Mg (mmolc/dm3) = 417.6; CEC (me/100 g) = 17.5; S (ppm) = 8.3; Cu (ppm) = 0.74; Fe (ppm) = 33.7; Mn (ppm) = 18.5; and Zn (ppm) = 9.7.
  • Red Beet Fiber NMR
    The data provided here include the 1D and 2D NMR spectra of four red beet fiber fractions, the pomace (PF), water-soluble (WSF), water-insoluble (WIF), and microwave-extracted pectin (10/80 min/˚C). The anomeric 1H-1H coupling constants and chemical shift resonances of the observed carbohydrate residues are reported. Additional analyses can be found in the associated paper "Structural characterization of red beet fiber and pectin” (Hotchkiss et al., 2022, https://doi.org/10.1016/j.foodhyd.2022.107549). The dominant anomeric resonances in the 1D-1H NMR spectrum of the WSF (Figure 1), as well as the PF (Figure 2) are at 5.42 ppm, with smaller intensity resonances at 5.23 and 5.09 ppm, followed by increasingly weaker resonances at 5.16, 5.26, 4.56, 5.31 and 5.13 ppm. The resonance at 5.42 ppm is an apparent doublet with a JH1H2 coupling constant of 2.8~3.42 Hz, which is consistent with H2 and H1 being in an axial-equatorial, or conformation. These peaks are assigned as α-Glc(1) and α-Glc(2). Similarly, the weak resonance at 5.26 ppm is a doublet with JH1H=3.15 Hz, which is also conformation, and is assigned as α-Glc(3). The weak doublet centered at 4.56 ppm has a JH1H2 = 7.51 Hz, which indicates an axial-axial orientation, or conformation, and is assigned as β-Glc(2). In the 1D-1H NMR spectrum of red beet WIS (Figure 3), the dominant resonance is at 4.65 ppm (doublet, JH1H2 = 8.1 Hz, conformation) and is assigned as β-Glc(1); this resonance is obscured by the water HOD peak in the water-soluble and pomace fractions. The next most intense peak in the water-insoluble fraction is at 5.24 ppm (doublet, JH1H2 = 3.8 Hz, conformation) which is assigned as α-Glc(3). Weaker peaks are found at 5.10 ppm (broad, JH1H2 = small, conformation), which is assigned as α-Ara, and at 4.52 ppm (doublet, JH1H2 = 7.5 Hz, conformation), which is assigned as β-Glc(2). The weakest anomeric peak observed is at 5.42 ppm (doublet, JH1H2 = 4.4 Hz, conformation), arising from α-Glc(2). All of the fractions contain many non-sugar resonances (0.5-3 ppm) of their 1D-1H spectra (Figures 1-3), that are primarily aliphatic, and comprise about 10% of the proton spectral intensity in WSF and PF, and about 13% of the proton spectral intensity in the WIF. Comparing the sugar resonance regions of the 1D-13C NMR spectra (Figure 4) for WSF, PF and WIF, it is seen that WSF and PF have very similar spectra, both in terms of resonances and intensities. The WIF 1D-13C spectrum, however, the resonances associated with Ara (~110 ppm) and Glc (~99 ppm) are not observed, as well as decreased sucrose resonances (Glc at ~95 ppm and Fru at ~84 ppm). All of these resonances can be weakly detected in the 2D spectra, however, indicating that while their concentration is diminished, they are still present.
  • Data from PestLens biosurveillance articles from 2008-2018, plus genus and country matching lists
    Data scraped from an online repository 1,925 articles collected by the biosurveillance program, PestLens (2019) from 2008-2018, and then edited. The 1,612 edited records shown had usable information for report date, pest species taxonomy and type, and country of report. Also included are the genera and country matching lists. PestLens (2019) Preclearance and Offshore Programs, Plant Protection and Quarantine, U.S. Department of Agriculture, and Center for Integrated Pest Management, North Carolina State University. https://pestlens.info/. Accessed April 11, 2019
  • Lessons from a next generation carbon ranching experiment
    In association with the paper entitled, “Lessons from a next generation carbon ranching experiment” the following data set has been archived: (1) CSV files of raw data (2013, 2018) used in various data transformations to ultimately estimate soil organic carbon (SOC) stocks; (2) CSV files with data summaries (2013, 2018) after data transformations; (3) text files of R script of data transformations and SOC stock equations with metadata; (4) text files of R script of statistical analyses of summary files with metadata; (5) text files of R session info; and (6) readme text file with descriptions of files, description of workflow, and metadata.
  • American elm genotype cold tolerance assay
    This data set supports an article under review at Forests titled: "Cold tolerance assay reveals evidence of climate adaptation among American elm (Ulmus americana L.) genotypes" by authors: John R Butnor, Cornelia Wilson, Melike Bakir, Athony D’ Amato, Charles Flower, Chris Hansen, Stephen R Keller, Kathleen S Knight, Paula F Murakami
  • DTA prototype programs for Campbell Scientific CR23X logger
    These files are programs generated by Campbell Scientific's Short Cut software for operating the "simple DTA prototype" with a Campbell Scientific CR23X logger. They support a manuscript in preparation for submission to HardwareX journal titled "A simple prototype for assessing plant cold hardiness with differential thermal analysis" by John R Butnor, USDA Forest Service, Northern research Station, Burlington, VT USA
  • Isolated sweetpotato starch properties from roots used to make sweetpotato French fries
    These are data of isolated sweetpotato starch granule sizes, amylopectin branching distributions (peak area ratios and molar ratios), and thermal differential scanning calorimetry scans (raw and deconvolution data) that were used in the manuscript "Impact of sweetpotato starch structures, thermal properties, and granules sizes on sweetpotato fry textures" by Allan, Read, and Johanningsmeier. Starches were isolated from the roots used in Sato, A., Truong, V.-D., Johanningsmeier, S. D., Reynolds, R., Pecota, K. V., & Yencho, G. C. (2018). Chemical constituents of sweetpotato genotypes in relation to textural characteristics of processed French fries. Journal of Food Science, 83(1), 60–73. https://doi.org/10.1111/1750-3841.13978
  • Porcine metabolome data
    Ascaris roundworms impair human and swine health. While treatments using anthelmintic drugs are generally effective in eliminating worms, their effects on the gut microenvironment remain poorly understood. Here we took an integrated multi-omics approach to investigate pathophysiological implications of drug-mediated worm clearance in a swine-Ascaris model. We also validated key findings using in vitro aerobic and anaerobic cultures. Our data show that Ascaris suum infection altered microbial composition and dysregulated 182 serum and fecal metabolites, including histamine and p-cresol sulfate. Compared to time-matched healthy controls, the infected and anthelmintic treated pigs differed markedly in gut microbial composition thirteen days after successful fenbendazole treatments that eliminated worms from the gut. Eleven pathways were enriched in successfully treated pigs, including peptidoglycan biosynthesis and histidine metabolism, suggesting that infection-induced alterations can be long-lasting. Interactions between parasite proteins and fenbendazole strongly increased histamine production by Lactobacillus reuteri in vitro by 83.7% (P < 0.05). Host microbiota modified swine-Ascaris interactions by producing metabolites regulating host gene expression, such as TFF2 and IL8. Our findings demonstrated that host microbiota modifies swine-Ascaris interactions via different mechanisms. Microbiota-derived metabolites directly regulate host gene expression. Microbiota plasticity allows the exploitation of the niche differentiated upon infection, resulting in blossom of certain Lactobacillus strains in treated animals. Designing functional anthelminthics will require attention to the complex interactions between parasites, drugs, and the gut microbiota.
  • Collection
    United Nations Sustainable Development Goals (SDGs) datasets
    The United Nations Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind. Since 2018, Elsevier have generated SDG search queries to help researchers and institutions track and demonstrate progress towards the targets of the United Nations Sustainable Development Goals (SDGs).
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