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BrAPI

    The Breeding API (BrAPI) Project is an effort to create a RESTful specification to enable interoperability among plant breeding databases. The Breeding API specifies a standard interface for plant phenotype/genotype databases to serve their data to crop breeding applications. It is a shared, open API, to be used by all data providers and data consumers who wish to participate.

    BAR- The Bio-Analytic Resource for Plant Biology

      BAR is a collection of web-based, user-friendly tools for exploring, visualizing, and analyzing large datasets from plants. Supported are expression data, Next-Gen sequence data, protein-protein interactions, polymorphisms / conservation, and protein 3-D structures.

      Data from: Dataset on characterization of recombinant interleukin-23α, IL-12p40 and IL-23 complex protein, which activates JAK-STAT signaling pathway in chicken cell lines using immunocytochemical staining

        The data herein is related to the research article entitled "Functional analyses of the interaction of chicken interleukin 23 subunit p19 with IL-12 subunit p40 to form the IL-23 complex", where it is demonstrated that the chicken interleukin (IL)-23α, IL-12p40, and IL-23 complex regulates Th1, Th17, and Treg cytokine production through heterodimer receptors as well as a homodimer receptor consisting of IL-12Rβ1 and IL-23R, and activates the JAK/STAT signaling pathways.

        Data from: Shoot transcriptome of the giant reed, Arundo donax

          The giant reed, *Arundo donax*, is a perennial grass species that has become an invasive plant in many countries. To establish a foundational molecular dataset, an llumina Hi-Seq protocol was used to sequence the transcriptome of actively growing shoots from an invasive genotype collected along the Rio Grande River, bordering Texas and Mexico. The assembly of 27,491 high confidence transcripts (≥200 bp) are reported with at least 70% coverage of known genes in other Poaceae species.

          Data from: Datasets for transcriptomic analyses of maize leaves in response to Asian corn borer feeding and/or jasmonic acid

            Corn's (*Zea mays*) response to initial insect damage involves a variety of changes to the levels of defensive enzymes, toxins, and communicative volatiles. Such a dramatic change secondary metabolism necessitates the regulation of gene expression at the transcript level. This *Data In Brief* paper summarizes the datasets of the transcriptome of corn plants in response to corn stalk borers (*Ostrinia furnacalis*) and/or methyl jasmonate (MeJA). Altogether, 39,636 genes were found to be differentially expressed.

            Insect Images: The Source for Entomology Photos

              A joint project of The University of Georgia - Warnell School of Forestry and Natural Resources, College of Agricultural and Environmental Sciences - Department of Entomology, Center for Invasive Species and Ecosystem Health, Georgia Museum of Natural History, The Entomology Society of America and USDA Identification Technology Program, [Insect Images](https://www.insectimages.org/) image categories include: Insect Orders: Hymenoptera; Coleoptera; Hemiptera; Lepidoptera; Blattodea; Odonata; Dermaptera; Diptera; Orthoptera; Neuroptera; Phthiraptera; Mantodea; Thysanura; Isoptera; Thysanoptera; Phasmatoptera; and Related Organisms.

              Weed Images: The Source for Images of Weeds and Weed Management in Agriculture

                A joint project of The University of Georgia - Warnell School of Forestry and Natural Resources, College of Agricultural and Environmental Sciences - Department of Entomology, Center for Invasive Species and Ecosystem Health, Weed Science Society of America and the USDA/APHIS Identification Technology Program, [Weed Images](https://www.weedimages.org/) image categories include: Habit: Aquatics, Herbs/Forbs, Grasses, Shrubs, Trees, Vines; Herbicides: Mechanism of Action, HRAC or WSSA Group; Most Troublesome and Most Common Weed Lists.

                Forestry Images: The Source for Forest Health and Silviculture Images

                  A joint project between University of Georgia - Bugwood Network and the U.S. Department of Agriculture, [Forestry Images](https://www.forestryimages.org/) image categories include: Forest Pests; Trees, Plants, and Stand Types; Silvicultural Practices; Urban Forestry; Wildlife; People, Places and Scenes.

                  Land Use Strata - Selected States

                    The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) area sampling frame is a delineation of all parcels of land for the purpose of later sampling the parcels. The area frame is constructed by visually interpreting satellite imagery to divide a state into homogenous land use areas (strata) based on percent cultivated. The strata are typically defined as low, medium or high percent cultivated, non-agricultural land, urban use, agri-urban, or water. This site provides links to download ESRI shape and symbology layer files, as well as low resolution JPEG or higher resolution PDF images for each state.