Yellowstone RiverNET - Datasets

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Description

Internet of Things: By making the data collected by citizen scientists and IoT devices accessible to the Topcoder community, the RiverNET project hopes to improve their 3 day prediction forecasts of water turbidity and water flow as well as their annual prediction of fish populations and 10 day forecast of fishing activity.

Dataset Links

[DS ANALYTICS - DATASETS PAGE] - {Yellowstone - RiverNET} - Getting Started with Yellowstone RiverNET Data

Getting Started with Yellowstone RiverNET Data

An introduction to RiverNET’s purpose and objectives



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[DS ANALYTICS - DATASETS PAGE] - {Yellowstone - RiverNET} - Water Quality Monitoring Data

Water Quality Monitoring Data

The Upper Yellowstone Watershed is infrequently tested for water quality and, when it is, it is tested in very few locations. In response, the local community and scientists are coming together to test water quality for themselves, and share that information for the public good.



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[DS ANALYTICS - DATASETS PAGE] - {Yellowstone - RiverNET} - eDNA Monitoring Data

eDNA Monitoring Data

eDNA testing for PKX (Tetracapsuloides bryosalmonae) on the Upper Yellowstone arose in part due to 2016 Yellowstone River fish kill and closure. Since then, water monitoring data has been collected in order to leverage modern scientific analytics and computer machine learning techniques to predict, identify and resolve water quality issues in the Upper Yellowstone Watershed. DATA NEEDED



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Blogs and Discussions

[DS ANALYTICS - DATASETS PAGE] - {Yellowstone - RiverNET} - Livingston Enterprise - Group launched to monitor Yellowstone

Livingston Enterprise - Group launched to monitor Yellowstone

The goal is to work with as many local stakeholders as possible to try to make data about the river as transparent and open as possible.


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[DS ANALYTICS - DATASETS PAGE] - {Yellowstone - RiverNET} - Envision Yellowstone’s RiverNET Project

Envision Yellowstone’s RiverNET Project

Empowering local communities & citizen scientists, outdoor recreation & tourism businesses, private land owners, conservationists, and public lands agencies with high-density, real-time data and machine learning and AI models on natural ecosystems.



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