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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.

    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.

          Data from: Taxonomic, geographic, and diversity trends for exotic plant pests in recent biosurveillance articles

            PestLens is a Plant Protection and Quarantine (PPQ) biosurveillance system wherein analysts search online, open-source material for information on exotic plant pests that have relevance to plant health in the United States (https://pestlens.info/). The objectives are to provide early-warning information about those pests, and to facilitate timely and appropriate safeguarding responses.

            Data from: United States wildlife and wildlife product imports from 2000–2014

              Data are presented on 15 years of the importation of wildlife and their derived products into the United States (2000–2014), originally collected by the United States Fish and Wildlife Service. These data include >2 million wildlife or wildlife product shipments, representing >60 biological classes and >3.2 billion live organisms. The data were curated and cleaned, and taxonomic information added to improve usability.

              CottonGen Sequence Retrieval

                Sequence Retrieval allows users to download nucleotide and protein sequences including chromosomes, scaffolds, genes, mRNAs, transcript coding sequences, protein, reftrans contigs and unigene contigs. For the sequences aligned to larger sequences, such as genes, mRNAs and transcript coding sequences, a numeric value specifying the number of upstream bases and downstream bases can be entered.