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

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).

Hybrid sunflower production occurs near Sacramento in Northern California where seed treatments are commonly used. In this study, four locations were sampled in 2016 as matched pairs; half of each field was sown with thiamethoxam treated seed and half without. In addition to the thiamethoxam seed treatment, all seeds were coated with two fungicides, fludioxonil and mefenoxam/metalaxyl. Both wild bee and honey bee pesticide exposure was assessed by analyzing field soil, sunflower pollen and nectar, honey bees (pollen and nectar foraging) and a sunflower specialist wild bee, Melissodes agilis. Samples were extracted via pressurized liquid extraction (except nectar which underwent a room temperature solvent extraction) with an organic solvent followed by solid phase extraction cleanup. Samples were analyzed for 168 pesticides and degradates using both gas and liquid chromatography-tandem mass spectrometry. While only one of the three seed coating pesticides (thaimethoxam) was detected, 25 other pesticides and degradates were also measured. In total, 5 insecticides, 9 herbicides, 7 fungicides, and 5 degradates detected across all matrices. There were 7 pesticides and degradates detected in M. agilis, 4 in honey bees, 6 in nectar, 6 in pollen, and 23 in soil. These results indicate the bees visiting sunflower fields are exposed to more pesticides than those used as seed coatings including those pesticides applied to other nearby crops (e.g., rice, tomatoes and walnuts).

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).

Wild bee and butterfly samples were collected from the margins of agricultural fields located on five Conservation Areas in Missouri. In 2016 and 2017, samples were collected and composited by genera for a total of 90 samples. Samples were extracted via pressurized liquid extraction and solid phase extraction cleanup. Samples were analyzed for 168 pesticides and degradates using both gas and liquid chromatography-tandem mass spectrometry. Overall, 16 pesticides were detected. Pesticides detected in greater than 2% of the composite samples included: metolachlor (24%), tebuconazole (22%), atrazine (18%), imidacloprid desnitro (13%), bifenthrin (9%), flumetralin (9%), p,p’-DDD (6%), tebupirimfos (4%), fludioxonil (4%), flutriafol (3%), cyproconazole (2%), and oxadiazon (2%). Concentrations for individual pesticides ranged from 2 to 174 ng/g. Results indicate that wild pollinators are exposed to a wide variety of pesticides.

Access APIMetadata Portal Metadata InformationContent TitleHoney productionContent TypeOtherDescriptionLearn about honey production in Tocal, home to around 250 bee hives and the newly established Bee Training & Research Facility.Initial Publication Date24/06/2024Data Currency24/06/2024Data Update FrequencyOtherContent SourceOtherFile TypeDocumentAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)OtherSpatial Reference System (web service)OtherWGS84 Equivalent ToOtherSpatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianDuo HePoint of Contactduo.he@customerservice.nsw.gov.auData AggregatorData DistributorAdditional Supporting InformationTRIM Number

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.

- 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).

This data release is for all native bee and plant records collected at four national parks in Maryland and Virginia, 2021 and 2022. The purpose of the study was to document the floral resources and native bees that depend on them within variously-managed park grasslands, with the goal of providing managers with information that will help them maximize pollinator habitat while concurrently meeting other management objectives. The zip file "Bee_and_Plant_Metadata_NPS2021-2022.7z" contains two metadata records: 1) "Battlefield_Bees_metadata_08.07.2024.xml" contains all native bee data, and 2. "Battlefield_Plants_metadata_08.07.2024.xml" contains all plant data.