Geospatial data analysis is a multifaceted discipline encompassing the collection, processing, and visualization of diverse datasets. It models and delineates the interactions of people, objects, and phenomena within geographical spaces and predicts patterns based on the relationships between different locations. Despite significant advancements in geospatial data engineering and analytics over...
The authors completed and submitted this Core Trust Seal self-assessment for the ScholarsArchive@OSU institutional repository in August 2022. The repository was awarded CoreTrustSeal certification for trustworthy data repositories. This international certification is based on a set of requirements and best practices for repositories, including data description, infrastructure, interoperability, sustainability, and...
Three library faculty at Oregon State University (OSU), a research intensive university, created the Data Sharing Wizard (the Wizard), a Scenario-Based, online, interactive learning tool that helps students learn about the sharing of research datasets with a focus on intellectual property and decision making. Using the Wizard, students are able...
In Spring 2019, a library team was asked to conduct this Core Trust Seal self-assessment for the ScholarsArchive@OSU institutional repository in order to determine whether the repository could achieve certification as a trusted digital repository.
Sequence alignments, phylogenetic trees, and associated information for Phylogenetic Estimation and Ancestral State Reconstruction of Rubus (Rosaceae) using Target Capture Sequencing
A flipped classroom provides students with course content in the form of videos, readings, and/or simulations that they complete during the time traditionally used for homework assignments while in-class time is devoted to hands-on group learning activities. Project BoxSand is gathering quantitative data on how students in a flipped classroom,...
Potentially large savings can be realized within the forest industry by improved machine scheduling, labour scheduling, machine investment, inventory management, and the maximization of wood value. Forecasting must change within the forest industry from Ttguesstimatesll to more efficient production forecasting models. Much work needs to be done with data collection...
Despite more than two centuries of exploration, including more than six million deep wellbores with depths exceeding 40,000 feet in some parts of the world, our ability to constrain subsurface processes and properties remains limited. Characteristics of the subsurface vary and can be analyzed on a variety of spatial scales....
Developing accurate predictive distribution models requires adequately representing relevant spatial and temporal scales, as these scales are ultimately reflective of the relationships between distributions and influential environmental conditions. In this research, we considered both spatial and temporal scale and the influence each has on predicting broad-scale distributions of two disparate...
In bioacoustics, automatic animal voice detection and recognition from audio recordings is an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where the goal is to segment bird syllables from the recording and predict the bird species for the syllables. Traditional methods for this task addresses the...