U.S. flag

An official website of the United States government

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.

    CameraTrapDetectoR General Model

      This dataset contains the model weights, architecture, and class label dictionary for CameraTrapDetectoR general model version 1. The model architecture is a FasterRCNN object detection model with a ResNet50 backbone. This model identifies and counts mammals and birds in camera trap images, and includes categories for humans, vehicles, and a background class.

      CameraTrapDetectoR Family Model

        This dataset contains the model weights, architecture, and class label dictionary for CameraTrapDetectoR family model version 1. The model architecture is a FasterRCNN object detection model with a ResNet50 backbone. This model identifies and counts animals from 33 North American taxonomic families in camera trap images, including humans vehicles and a background class.

        CameraTrapDetectoR Species Model

          CameraTrapDetectoR is an R package that uses deep learning computer vision models to automatically detect, count, and classify common North American domestic and wild species in camera trap images. Data for all versions of the taxonomic species model are located in this dataset. This dataset contains model weights, architectures, and class label dictionaries for the CameraTrapDetectoR species models.