Data used in "A comparison of pollen and syrup exposure routes in Bombus impatiens microcolonies: implications for pesticide risk assessment". This dataset is associated with the following publication: Weitekamp, C., R. Koethe, and D. Lehmann. A comparison of pollen and syrup exposure routes in Bombus impatiens (hymenoptera: apidae) microcolonies: implications for pesticide risk assessment. ENVIRONMENTAL ENTOMOLOGY. Entomological Society of America, Lantham, MD, USA, 51(3): 613-620, (2022).

Dataset for figures included in associated publication. This dataset is associated with the following publication: Lehmann, D., M. Batres, and W. Williams. Impact of Diflubenzuron on Bombus Impatiens Microcolony Development. ENVIRONMENTAL ENTOMOLOGY. Entomological Society of America, Lantham, MD, USA, 49(1): 203-210, (2020).

Dataset for figures included in associated publication. This dataset is associated with the following publication: Lehmann, D., M. Batres, and W. Williams. Impact of Diflubenzuron on Bombus Impatiens Microcolony Development. ENVIRONMENTAL ENTOMOLOGY. Entomological Society of America, Lantham, MD, USA, 49(1): 203-210, (2020).

Excel file with processed data used to generate each figure in the manuscript. This dataset is associated with the following publication: Camp, A., M. Batres, W. Williams, R. Koethe, K. Stoner, and D. Lehmann. Effects of the neonicotinoid acetamiprid in pollen on Bombus impatiens microcolony development. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 39(12): 2560-2569, (2020).

Data on the presence of corn seed treatment insecticides in bee-collected pollen and increased honey bee mortality associated with corn planting, persistence of the insecticides inside honey bee colonies, and long-term growth of these colonies in central Ohio. We also constructed spatial models, based on empirical data of honey bee foraging and dispersion patterns of planter dust, and landscape compositions, to simulate hypothesized exposure routes via contamination of foraging resources and aerial exposure resulting from flight through localized dust plumes from planters and diffuse dust in the landscape over all resulting from widespread planting activity. Insecticide concentrations under different hypothesized exposure routes were then compared with the observed levels of contamination to evaluate these hypotheses. This dataset is associated with the following publication: Kuan, C., G. DeGrandi-Hoffman, R. Curry, K. Garber, A. Kanarek, M. Snyder, K. Wolfe, and T. Purucker. Sensitivity analyses for simulating pesticide impacts on honey bee colonies. ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 376: 15-27, (2018).

Data on the presence of corn seed treatment insecticides in bee-collected pollen and increased honey bee mortality associated with corn planting, persistence of the insecticides inside honey bee colonies, and long-term growth of these colonies in central Ohio. We also constructed spatial models, based on empirical data of honey bee foraging and dispersion patterns of planter dust, and landscape compositions, to simulate hypothesized exposure routes via contamination of foraging resources and aerial exposure resulting from flight through localized dust plumes from planters and diffuse dust in the landscape over all resulting from widespread planting activity. Insecticide concentrations under different hypothesized exposure routes were then compared with the observed levels of contamination to evaluate these hypotheses. This dataset is associated with the following publication: Kuan, C., G. DeGrandi-Hoffman, R. Curry, K. Garber, A. Kanarek, M. Snyder, K. Wolfe, and T. Purucker. Sensitivity analyses for simulating pesticide impacts on honey bee colonies. ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 376: 15-27, (2018).

- Text description of regulatory methods for estimating nectar and pollen concentrations from soil applications and seed treatments; - Table S1: Parameter set for imidacloprid used for simulations to assess the relative risk of neonicotinoid pesticides to hummingbirds. - Table S2: Full sensitivity results for ruby-throated hummingbird exposure to imidacloprid simulation - Table S3: Data used for estimating the Mineau scaling factor for imidacloprid. This dataset is associated with the following publication: Etterson, M., E. Paulukonis, and S. Purucker. Using Pop-GUIDE to Assess the Applicability of MCnest for Relative Risk of Pesticides to Hummingbirds. Ecologies. MDPI, Basel, SWITZERLAND, 4(1): 171-194, (2023).

- Text description of regulatory methods for estimating nectar and pollen concentrations from soil applications and seed treatments; - Table S1: Parameter set for imidacloprid used for simulations to assess the relative risk of neonicotinoid pesticides to hummingbirds. - Table S2: Full sensitivity results for ruby-throated hummingbird exposure to imidacloprid simulation - Table S3: Data used for estimating the Mineau scaling factor for imidacloprid. This dataset is associated with the following publication: Etterson, M., E. Paulukonis, and S. Purucker. Using Pop-GUIDE to Assess the Applicability of MCnest for Relative Risk of Pesticides to Hummingbirds. Ecologies. MDPI, Basel, SWITZERLAND, 4(1): 171-194, (2023).

The U.S. Environmental Protection Agency (USEPA) and U.S. Department of Agriculture (USDA) are developing the VarroaPop+Pesticide model which simulates the dynamics of honey bee colonies and how they respond to multiple stressors, including weather, Varroa mites and pesticides. To evaluate this model, we used Approximate Bayesian Computation to fit field data from an empirical study where honey bee colonies were fed the insecticide clothianidin. Model input data (Minucci 2021a) are available on Figshare: https://doi.org/10.6084/m9.figshare.c.5402901.v1. Scripts (Minucci 2021b) to run this analysis are available on Zenodo: https://doi.org/10.5281/zenodo.4721797. This dataset is associated with the following publication: Minucci, J., R.J. Curry, G. DeGrandi-Hoffman, C. Douglass, K. Garber, and S. Purucker. Inferring pesticide toxicity to honey bees from a field-based feeding study using a colony model and Bayesian inference. ECOLOGICAL APPLICATIONS. Ecological Society of America, Ithaca, NY, USA, 31(8): e02442, (2021).

The U.S. Environmental Protection Agency (USEPA) and U.S. Department of Agriculture (USDA) are developing the VarroaPop+Pesticide model which simulates the dynamics of honey bee colonies and how they respond to multiple stressors, including weather, Varroa mites and pesticides. To evaluate this model, we used Approximate Bayesian Computation to fit field data from an empirical study where honey bee colonies were fed the insecticide clothianidin. Model input data (Minucci 2021a) are available on Figshare: https://doi.org/10.6084/m9.figshare.c.5402901.v1. Scripts (Minucci 2021b) to run this analysis are available on Zenodo: https://doi.org/10.5281/zenodo.4721797. This dataset is associated with the following publication: Minucci, J., R.J. Curry, G. DeGrandi-Hoffman, C. Douglass, K. Garber, and S. Purucker. Inferring pesticide toxicity to honey bees from a field-based feeding study using a colony model and Bayesian inference. ECOLOGICAL APPLICATIONS. Ecological Society of America, Ithaca, NY, USA, 31(8): e02442, (2021).