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).

Excel file with processed data used to generate each figure in the manuscript.

Excel file with processed data used to generate each figure in the manuscript.

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).

Pesticide concentrations determined in honey bee hive matrices from GC/qToF-MS analysis. Including neonicotinoid concentrations determined by LC-MS/MS as published in Lin et al., 2021. This dataset is associated with the following publication: Glinski, D., S. Purucker, J. Minucci, R. Richardson, C. Lin, R. Johnson, and W. Henderson. Analysis of contaminant residues in honey bee hive matrices. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 954: 176329, (2024).

This study generated genetic 'metabarcode' data using high-throughput sequencing to characterize pollen foraging behavior of pollinating bee species on managed field habitat within units of the National Park Service. Specimens were collected within parks of the National Capital Region from 2021-2023 and subsequently identified to species or genus. DNA was then extracted from specimens using leg samples if pollen was adherent to the corbiculae ("pollen baskets") of corbiculate bees, otherwise using whole-body samples. This data release consists of three tab-delimited files and a file of DNA sequences: 1) sample.metadata.txt includes sample identifiers and the accessions they have been assigned by the National Center for Biotechnology Information (NCBI), the authoritative repository for publicly funded genetic data in the United States. These accessions can be used individually to obtain raw sequencing data or sample information at www.ncbi.nlm.nih.gov. Alternatively, the BioProject accession PRJNA1236404 can be searched to retrieve the full set of data and sample accessions listed in the file. Entity and attribute metadata are provided for this file herein. 2) ITS2.raw.pollen.counts.txt includes the inferred taxon counts at the ITS2 locus, i.e. number of ITS2 sequences in a sample attributable to each identified taxon in each sample. 3. potential.contaminants.txt lists plant taxa that were over-represented in negative controls samples within a particular sequence run. Values for these plant taxa in these runs should either be zeroed-out or adjusted based on a statistical model to account for potential sample contamination. Censoring data based on results in negative controls is a standard practice in metabarcoding. Many samples in this study were very small and/or had no visible pollen, which increases the potential for contamination as the endogenous DNA concentration is expected to be very low in these cases. 3) reference.db.fas contains the plant reference DNA sequences used for taxonomic assignment of the pollen sample sequences.

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).