High-throughput methods for identification of pollinator taxa are desirable to improve our understanding of pollinator distributions, population trends, and ecology. Genetic sequencing of taxonomically informative 'barcode' loci is one high-throughput strategy, which can be applied to individual specimens using Sanger technology and to complex mixtures using metabarcoding technology. This study generated Sanger sequencing data from morphologically identified specimens and metabarcoding data derived from pooled tissues. This data release consists of several files: 1. sample.metadata.txt, which contains sampling metadata and identifiers linking to sequence data that has been deposited in the Sequence Read Archive of the National Center for Biotechnology Information (NCBI). This database is authoritative and comprehensive for sharing high-throughput sequence data produced with public funds. All NCBI-derived accessions listed in the file can be searched at www.ncbi.nlm.nih.gov to retrieve sample and sequence information 2. raw.counts.txt, which is a tab-delimited table of counts of individual metabarcode sequences that are attributed to each detected bee genus. 3. BeeSangerSequencesFASTA.txt, which is a text document in FASTA format containing the DNA sequences obtained from the individual specimens using Sanger sequencing technology. 4. reference.sequences.fasta, which is a text document in FASTA format containing the DNA sequences obtained from public databases for taxonomic assignment of metabarcode sequences as described in the process steps.

This data release includes sampling location identification and timing data as well as plant and insect pollinator taxonomic information in Conservation Reserve Program fields. Sampling took place during July and August of 2019. Fields were located on private land managed for the U.S.Department of Agriculture Conservation Reserve Program in eastern central Iowa, U.S.A.

Bee-Gap describes the ecology, life-history, and distribution of 3,925 bee species in the United States that have geographical data and verified taxonomy. The database was constructed by compiling information from a broad range of internet sources and peer-reviewed journal articles. The 10 traits included in the database are: native status (native versus exotic/introduced), state and territory presence/absence, adult habitat, nesting strategy, voltinism, sociality, host bee species (for parasitic bees only), foraging strategy (generalist vs specialist), known host plants, and tongue length.

Bees were collected in 24 fields across eastern Iowa in summer 2019. This data collection was part of a pesticide study funded by the USGS Ecosystems Mission Area- Environmental Health Program. Bees were collected using the sweep net method and then were immediately placed on dry ice in the field. Bees were kept frozen to prevent degradation. In the lab, each wild bee was photographed from one or more angles using an AmScope microscope fitted with an MU1400 digital camera at 20x magnification. Bees were then morphologically identified based on the images. All images were checked for quality control before they were archived on this site. This data release includes 1) a txt file with bee identifications and image names, 2) zipped images of the bees, and 3) a text file with alternative text for each image.

Data included in this data set are for blue vane trap captured native bees from Logan County, Colorado starting in 2012 and ending in 2014. Data were collected the number of bees captured per date, per field, and identified to genus. Net level data contains 16,229 records.

We compared pollinator diversity derived from environmental DNA (eDNA) extracted from flowers and DNA extracted from pulverized bulk samples of insects collected from vane traps deployed at the same sites. We used three metabarcoding primers, two of which target arthropods generally (COI-Jusino and 16S-Marquina) and one that targets bumblebees (Bombus spp., COI-Milam). Across methods, we detected 77 insect families from 9 orders. The COI-Jusino marker amplified the highest taxonomic diversity compared to 16S-Marquina and COI-Milam. More ASVs were recovered from vane traps (blue: 1357, yellow: 1542) than flowers (245), but only 23% of families and 13% of genera were shared among methods, indicating that flowers and blue and yellow vane traps may each sample different parts of the available arthropod community. Of 29 flowers with known bee visitations, only 10 had bee detections, and incomplete reference databases hindered assignment to species.

The datasets show the amount of Conservation Reserve Program land around registered apiaries in North and South Dakota from 2006-2016.

The datasets show the amount of Conservation Reserve Program land around registered apiaries in North and South Dakota from 2006-2016.

We measured nesting rates and nesting success for a community of cavity-nesting bees across gradients of floral abundance, floral richness, and land-cover in the Prairie Pothole Region. Variables in this dataset include a unique transect identifier, a count of the occupied nests per transect, total floral species richness per transect, total floral stem abundance per transect, bee species richness, number of emerged adult bees per transect, and the proportion of those emerged bees which were female. In addition, there are land-cover measurements of the total area, in hectares, of grasslands, wetlands, and woodlands within 500m and 1500m of each transect. We binned land-covers from the 2019 National Agricultural Statistics Service Cropland Data Layer into our definitions of grasslands (Other Hay/Non Alfalfa, Sod/Grass Seed, Fallow/Idle Cropland, and Grassland/Pasture), wetlands (Woody Wetlands and Herbaceous Wetlands), and woodlands (Deciduous Forest, Evergreen Forest, and Shrubland).

We measured nesting rates and nesting success for a community of cavity-nesting bees across gradients of floral abundance, floral richness, and land-cover in the Prairie Pothole Region. Variables in this dataset include a unique transect identifier, a count of the occupied nests per transect, total floral species richness per transect, total floral stem abundance per transect, bee species richness, number of emerged adult bees per transect, and the proportion of those emerged bees which were female. In addition, there are land-cover measurements of the total area, in hectares, of grasslands, wetlands, and woodlands within 500m and 1500m of each transect. We binned land-covers from the 2019 National Agricultural Statistics Service Cropland Data Layer into our definitions of grasslands (Other Hay/Non Alfalfa, Sod/Grass Seed, Fallow/Idle Cropland, and Grassland/Pasture), wetlands (Woody Wetlands and Herbaceous Wetlands), and woodlands (Deciduous Forest, Evergreen Forest, and Shrubland).