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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.

    Agronomic Calendars for the Bushland, Texas Sorghum Datasets

      This dataset consists of agronomic calendars for 15 seasons of sorghum [*Sorghum bicolor* (L.)] grown for grain or forage at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) in 1987, 1988, 1991, 1993, 1997 through 1999, 2003 through 2007, 2014, and 2015. Depending on experimental objectives, sorghum was grown on one, two, or four large, precision weighing lysimeters, each in the center of a 4.44 ha square field. In 2002, 2010, and 2012, cotton was grown on two large, precision weighing lysimeters and their surrounding 4.44 ha square fields. In 2003 and 2004, sorghum was grown on only one large weighing lysimeter in rotation with cotton. The entire datasets for individual season years consist of soil water content, weather, crop growth and yield, agronomic calendar, water balance (evapotranspiration, precipitation, dew/frost, irrigation), and lysimeter energy and water balance data.

      Data from: Metagenomes and Metagenome-Assembled Genomes from Ex Vivo Fecal Incubations of Six Unique Donors

        This is a dataset consisting of donor-specific collections of 78 metagenomes (13 / donor) and 143 metagenome-assembled genomes (MAGs) representing the gut microbiomes of six healthy adult human donors. Raw sequencing data and MAG sequence data will be available in NCBI under BioProject accession PRJNA961974. Spreadsheets attached to this dataset include individual accession numbers and sequencing depth for the raw data; and assembly and NCBI accession numbers, binning information, quality metrics, and taxonomic assignments for the MAGs.

        Kentucky bluegrass growth curves and nutritive values

          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.

          Data from: Effect of cricket protein powders on dough functionality and bread quality

            Data collected from duplicate laboratory analysis of the functional properties of wheat flour dough mixed with cricket protein powders. Dough properties were evaluated for dough strength and elasticity. Breads were baked from all flour treatments and bread quality evaluated from image analysis of crumb structure, loaf volume, and texture analysis.

            CameraTrapDetectoR Pig Model

              This dataset contains the model weights, architecture, and class label dictionary for CameraTrapDetectoR pig-only model version 1. The model architecture is a FasterRCNN object detection model with a ResNet50 backbone. This model identifies and counts wild pigs in camera trap images. It also includes categories for non-pig detections (animal, human, or vehicle), and a background class.