This dataset includes microsatellite genotypes for 16 collections of tiger beetles (Ellipsoptera puritana) distributed in Connecticut and Maryland, United States.

We investigated fine-scale genetic patterns of the federally threatened Eastern Massasauga Rattlesnake (Sistrurus catenatus) on a relatively undisturbed island in northern Michigan, USA. This species often persists in habitat islands throughout much of its distribution due to extensive habitat loss and distance-limited dispersal. These data are from 102 individual Eastern Massasauga Rattlesnakes sampled at Bois Blanc Island, Michigan and genotyped at 15 microsatellite loci. Samples were collected as part of a study to examine functional connectivity for the Eastern Massasauga. We found that the entire island population exhibited weak genetic structuring with spatially segregated variation in effective migration and genetic diversity.

These data contain the longhorn beetle (Coleoptera: Cerambycidae) and ambrosia beetle (Coleoptera: Scolytinae) trap data collected at Waipunalei, Hawaii Island.

This record contains three zip files of data. First, for the file treeGeneticISSRData, the data consists of genetic ISSR band scores. Two sets of trees were sampled for genetic analyses - large trees surviving mountain pine beetle and 'general population' trees that we just a little to small to be attacked that served as a proxy for the population without beetle selection. Second, for the file Treegrowthdata_, this dataset includes files that record tree ring widths of trees by year from two sites, Vipond Park and Lacey Creek, in Montana. Third, the file monoterpeneConcentrationsData contains spreadsheets of monoterpene concentrations from surviving and susceptible whitebark pine after a mountain pine beetle outbreak at Vipond Park, Montana. All data takes the form of Excel spreadsheets.

This record contains three zip files of data. First, for the file treeGeneticISSRData, the data consists of genetic ISSR band scores. Two sets of trees were sampled for genetic analyses - large trees surviving mountain pine beetle and 'general population' trees that we just a little to small to be attacked that served as a proxy for the population without beetle selection. Second, for the file Treegrowthdata_, this dataset includes files that record tree ring widths of trees by year from two sites, Vipond Park and Lacey Creek, in Montana. Third, the file monoterpeneConcentrationsData contains spreadsheets of monoterpene concentrations from surviving and susceptible whitebark pine after a mountain pine beetle outbreak at Vipond Park, Montana. All data takes the form of Excel spreadsheets.

This data set provides sample collection information and genetic data used to identify relationships between groups of North American accipiters, including one hybrid. Genetic data includes gender identification, nuclear and mtDNA sequence markers, and microsatellite genotypes derived from 20 autosomal loci (Age1302, Age1303, Age1304, Age1305, Age1306, Age1307, Age1308, Age1309, Age1310, Age1311, Age1312, Age1313, Age1314, Age1316, Age1317, Age1318, Age1319, Age1320, Age1321, and Age1322).

This data set provides sample collection information and genetic data used to identify relationships between groups of North American accipiters, including one hybrid. Genetic data includes gender identification, nuclear and mtDNA sequence markers, and microsatellite genotypes derived from 20 autosomal loci (Age1302, Age1303, Age1304, Age1305, Age1306, Age1307, Age1308, Age1309, Age1310, Age1311, Age1312, Age1313, Age1314, Age1316, Age1317, Age1318, Age1319, Age1320, Age1321, and Age1322).

Monitoring change in genetic diversity in wildlife populations across multiple scales could facilitate prioritization of conservation efforts. We used microsatellite genotypes from 7,080 previously collected genetic samples from across the greater sage-grouse (Centrocercus urophasianus) range to develop a modelling framework for estimating genetic diversity within a recently developed hierarchically nested monitoring framework (clusters). The majority of these genetic samples (n=6560) were used in previous research (Oyler-McCance et al. 2014; Cross et. al 2018; Row et. al. 2018). Genetic diversity values associated with clusters across multiple scales could facilitate the identification of areas with low genetic diversity and inform the potential management or conservation priority and response. We also report the data used to define genetic diversity thresholds of conservation concern and a full reporting of the genetic diversity estimates associated with the evaluated clusters.