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Data and models from: A novel design method for customized visual delimiting surveys for plant pests based on transects and scouting

    Models were used in the manuscript "A novel design method for customized visual delimiting surveys for plant pests based on transects and scouting," by Barney P. Caton, Godshen R. Pallipparambil, and Hui Fang. This paper describes a novel approach for designing custom visual delimitation surveys, called ‘Delimitation via Transect Data and Scouting,’ or DTDS.

    Data and code from: Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management

      This dataset includes code and data to recreate analysis from the manuscript "Nauman, T.W., Munson, S.M., Dhital, S, Webb, N.P., Duniway, M.C. Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for managemen". In prep for STOTEN. This includes R statistical code, aeolian monitoring data and associated soil, land use, and climate explanatory data for each site, and a raster map showing areas modeled to have more sediment transport.

      Data from: Experiments on Jackson trap efficiency capturing Bactrocera dorsalis and Zeugodacus cucurbitae

        We tested the effects of three important components of Jackson traps on efficiency of capture of two important fruit fly species, using the “standard” (i.e., as they are used in the state-wide surveillance program in California) and alternatives: Insecticide (Naled, DDVP or None), type of adhesive on the sticky panel (Seabright Laboratories Stickem Special Regular or Stickem Special HiTack), and use of a single or combination male lure (Methyl eugenol and/or cuelure). Experiments were conducted in large outdoor carousel olfactometers with known numbers of Bactrocera dorsalis and Zeugodacus cucurbitae and by trapping wild populations of the same two species. Lures were aged out to eight weeks to develop a comprehensive dataset on trap efficiency of the various combinations.

        Mechanistic probes into the action of high-intensity ultrasound within edible lipids

          This study investigates the underlying HIU mechanism to identify which HIU behaviours are crucial to the beneficial action of HIU within edible lipid systems. This has potential to lead to amplification of behaviours beneficial to the lipid crystallisation and minimise the detrimental effects in future. This was conducted within an all-purpose shortening sample in the presence of high-intensity ultrasound (20 kHz) employing a 3.2 mm PLE tip.

          Dynamic Soil Properties for Soil Health projects-v2

            This version-2 expands and updates the first dataset from the Dynamic Soil Properties for Soil Health (DSP4SH) initiative. The dataset represents the data gathered, processed, and curated using scientifically based approaches to evaluate dynamic soil properties as soil health metrics. This dataset comprises of raw data collected from assessment of dynamic soil properties that may change due to agricultural land management.

            Dynamic Soil Properties for Soil Health projects

              This dataset represents the first dataset from the Dynamic Soil Properties for Soil Health (DSP4SH) initiative. The dataset represents the data gathered, processed, and curated using scientifically based approaches to evaluate dynamic soil properties as soil health metrics. This dataset comprises of raw data collected from assessment of dynamic soil properties that may change due to agricultural land management.

              Data from: Antigenic distance between North American swine and human seasonal H3N2 influenza A viruses as an indication of zoonotic risk to humans

                An investigation of antigenic relationships between North American swine H3N2 influenza A viruses (IAV) and human seasonal vaccine strains was conducted to assess the zoonotic risk to humans. Human seasonal vaccine strains were cultured on MDCK cells or eggs and the HA gene was verified by sequencing on a Sanger method at National Animal Disease Center (NADC). A consensus HA sequence was generated using Geneious Software.