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Data from: Use of long-read sequencing simulators to assess real-world applications for food safety

    The goal of this project was to use NanoSim-H software to simulate Oxford Nanopore sequencing reads to assess the feasibility of sequencing-based foodborne pathogen detection and guide experimental design. Sequencing reads were simulated for STEC, *L. monocytogenes*, and a 1:1 combination of STEC and *Bos taurus* genomes using NanoSim-H. This dataset includes all of the simulated reads generated by the project in fasta format.

    Data From: Habitat type and host grazing regimen influence the soil microbial diversity and communities within potential biting midge larval habitats

      Culicoides biting midges are important vectors of diverse microbes such as viruses, protozoa, and nematodes that cause diseases in wild and domestic animals. To investigate the role of microbial communities in midge larval habitat utilization in the wild, we characterized microbial communities (bacterial, protistan, fungal and metazoan) in soils from disturbed (bison and cattle grazed) and undisturbed (non-grazed) pond and spring potential midge larval habitats. We evaluated the influence of habitat and grazing disturbance and their interaction on microbial communities, diversity, presence of midges, and soil properties.

      Data from: Pasture dragging fails to reliably suppress the emergence of horn flies (Haematobia irritans) and face flies (Musca autumnalis) from dung pats in a Mid-Atlantic North American climate

        In order to determine if pasture dragging suppresses the emergence of horn flies (Haematobia irritans) and face flies (Musca autumnalis) from dung pats in a Mid-Atlantic North American climate, bovine dung pats were spread with pasture drag or plaster knife and covered with emergence traps, and emerging flies quantified.

        Data from: Genomic divergence of zebu and taurine cattle identified through high-density SNP genotyping

          The following is taken directly from the introduction of the paper. In this study, we used a pure drift FST model [11] which assumes all animals originated from the same ancestral population. This model was applied to taurine and zebu animals to identify loci under selection. These two groups correspond to the main (and most ancestral) separation of domestic cattle, which in most but not all cases corresponds to animals adapted to tropical and temperate environments. The identification of such loci can aid in the identification of genes and genomic variants that are related to environmental adaptation and/or selection derived from human agro-pastoral activities.

          Data from: Predicting spatial-temporal patterns of diet quality and large herbivore performance using satellite time series

            Analysis-ready tabular data from "Predicting spatial-temporal patterns of diet quality and large herbivore performance using satellite time series" in Ecological Applications, Kearney et al., 2021. Data is tabular data only, summarized to the pasture scale. Weight gain data for individual cattle and the STARFM-derived Landsat-MODIS fusion imagery can be made available upon request.

            Angus Sequence Data: Animal Donnie

              Whole genome sequence data for Bovidae Bos taurus - beef Angus. The data is in "fastq" format. The National Animal Germplasm Program does not have germplasm for this animal.