This data release includes sampling location, pesticide concentrations in passive samplers (silicone bands) and bees foraging 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. First posted - December 14, 2022(available from author) Revised - October 2023 (version 2.0)

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.

These raw survey data and associated explanatory covariates were used to model western bumble bee occupancy across the western conterminous United States from 1998 to 2020. These data underlie the analyses found in the publication of “Recent and future declines of a historically widespread pollinator linked to climate, land cover, and pesticides” by Janousek et al. 2023 in the Proceedings of the National Academy of Sciences vol. 120, issue 5. The covariate data are provided in a scaled format for use in the occupancy model, and the scaling parameters used to transform the data to the original (real) scale are provided in the scaling information file.

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.

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.

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.

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.

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.