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Data from: Grain inoculated with different growth stages of the fungus, Aspergillus flavus, affect the close-range foraging behavior by a primary stored product pest, Sitophilus oryzae (Coleoptera: Curculionidae)

    Our goals with this dataset were to 1) isolate, culture, and identify two fungal life stages of Aspergillus flavus, 2) characterize the volatile emissions from grain inoculated by each fungal morphotype, and 3) understand how microbially-produced volatile organic compounds (MVOCs) from each fungal morphotype affect foraging, attraction, and preference by S. oryzae. This dataset includes that derived from headspace collection coupled with GC-MS, where we found the sexual life stage of A. flavus had the most unique emissions of MVOCs compared to the other semiochemical treatments.

    Data from: Thermal tolerance regulates foraging behavior of ants

      Data files for manuscript titled "Thermal tolerance regulates foraging behavior of ants". Over two years, we tracked 322 foraging trips from 15 red harvester ant colonies in a mixed grass prairie of southwestern Oklahoma. During each trip, we measured surface temperature, distance, time, worker mass, seed mass, and foraging tempo (i.e. running speed). To assess P. barbatus heat tolerance, we measured CTmax and knock-down resistance of field-collected workers in the lab.

      Data from: Assessing pollen nutrient content: a unifying approach for the study of bee nutritional ecology

        Poor nutrition and landscape changes are regularly cited as key factors causing the decline of wild and managed bee populations. However, what constitutes “poor nutrition” for bees currently is inadequately defined. Bees collect and eat pollen: it is their only solid food source and it provides a broad suite of required macro- and micronutrients. Bees are also generalist foragers and thus the different pollen types they collect and eat can be highly nutritionally variable. Therefore, characterizing the multidimensional nutrient content of different pollen types is needed to fully understand pollen as a nutritional resource. Unfortunately, the use of different analytical approaches to assess pollen nutrient content has complicated between-studies comparisons and blurred our understanding of pollen nutrient content. This dataset includes the raw data generated from each of our analyses, including pollen disruption and nutrient assays. We used our collective data to propose a unifying approach for analyzing pollen nutrient content. This will help researchers better study and understand the nutritional ecology – including foraging behavior, nutrient regulation, and health – of bees and other pollen feeders.

        Data from: Can measurements of foraging behaviour predict variation in weight gains of free-ranging cattle?

          This study examines whether four different ways of measuring daily foraging behaviour (grazing-bout duration, grazing time per day, velocity while grazing, and turn angle while grazing) were related to weight gain by free-ranging yearling steers grazing semiarid rangeland. Data include measurements interpreted from neck collars supporting a solar-powered device that measured GPS locations at 5 min intervals and an accelerometer to predict grazing activity at 4 sec intervals.

          Data from: Attraction, mobility, and preference by Lasioderma serricorne (F.) (Coleoptera: Ptinidae) to microbially-mediated volatile emissions by two species of fungi in stored grain

            Our goals were to 1) isolate, and culture two fungal morphotypes, 2) characterize the volatile emissions from grain inoculated by each fungal morphotype (Aspergillus flavus or Fusarium spp.) compared to uninoculated and sanitized grain, and 3) understand how MVOCs from each morphotype affects mobility, attraction, and preference by L. serricorne.

            Redapol

              A computer-based model simulating the interactions of weather, bloom and honey bee foraging activity that culminate in 'Delicious' apple fruit-set. The model predicts the percentage of blossoms setting fruit based upon weather conditions, orchard design, tree characteistics, and honey bee colonies per hectare.