Respondent-driven sampling (RDS) is used throughout the world to estimate prevalence and population size for hidden populations. Although RDS is an effective method for enrolling people from key populations in studies, it relies on a partially unknown sampling mechanism, and thus each individual’s inclusion probability is unknown. Current estimators for...
The following taxonomic keys are adapted in part from the subgeneric and species descriptions and keys produced by McGinley (2003), Gibbs et al. (2013) and Gardner and Gibbs (2022). Additional identification information was provided by Jason Gibbs, Thilina Hettiarachchi (University of Manitoba), and Joel Gardner (Washington State University). While these...
The European green crab (Carcinus maenas) has persisted in Oregon and Washington coastal estuaries since the late 1990s. A strong year class arrived during the 1998 El Niño, but numbers decreased and remained below 1 per trap per day until the arrival of the 2015-2016 El Niño. Since then, numbers...
Over recent decades, the Bering Sea has experienced oceanic and atmospheric
climate extremes, including record warm ocean temperature anomalies and marine heatwaves (MHWs), and increasingly variable air-sea heat fluxes. In this work, we assess the relative roles of surface forcing and ocean dynamical processes on mixed layer temperature (MLT) tendency...
In the absence of meaningful federal climate policy in the United States, states and local governments are poised to make a substantial contribution to decarbonization efforts. At present, over 70 local jurisdictions and two states have enacted building electrification policies that limit the use of natural gas in buildings and...
Having valid measures of college student FI is essential for justifying basic-needs services for students. But college student food insecurity (FI) rates vary significantly across institutions, perhaps partially due to differences in non-response bias resulting from participant recruitment strategies. We tested for effects of recruitment method on measured levels of...
A variety of important machine learning applications require predictions on test data with different characteristics than the data on which a model was trained and validated. In particular, test data may have a different relative frequency of positives and negatives (i.e., class distribution) and/or different mislabeling costs of false positive...
Oregon's estuaries are important ecosystems for scientific study. Consequently, knowledge of what research has been conducted helps us identify benchmarks and plan new projects. A comprehensive bibliography of published research, technical reports, local documents, and data sets is one means of recording this knowledge. For these reasons, the Guin Library...