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Advances in information technology now provide large volume, high-frequency data collection which may improve real-time biosurveillance and forecasting. But, big data streams present challenges for data management and timely analysis. As a first step in creating a data science pipeline for translating large datasets into meaningful interpretations, we created a cloud-hosted PostgreSQL database that collates climate data served from PRISM (https://climatedataguide.ucar.edu/climate-data) and water-quality data from the National Water Quality Portal (https://www.waterqualitydata.us/) and NWIS (https://waterdata.usgs.gov/nwis; fig 1). Using Python-based code, these data streams are queried and updated every 24 hours,...
Categories: Project;
Tags: 2019,
All Funded Projects,
Computational Tools and Services,
Data and Information Assets,
Software
In 2016, a multidisciplinary team from the U.S. Geological Survey Wyoming-Montana Water Science Center, National Park Service, The Centers for Disease Control and Prevention, and Montana State University’s Department of Microbiology and Immunology in cooperation with the Teton Conservation District, initiated a small study to document the presence or absence of Naegleria fowleri at several hot springs in Grand Teton National Park/John D. Rockefeller, Jr. Memorial Parkway. Over four sampling events in 2016-2017, Naegleria fowleri was detected in several of the Grand Teton National Park/John D. Rockefeller, Jr. Memorial Parkway hot springs for the first time. Additionally, the team found that the prevalence of Naegleria...
Categories: Data;
Tags: Aquatic Biology,
Ecology,
Environmental Health,
Grand Teton National Park, Wyoming,
Hot Springs,
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