Discover the Network Linked Data Index (NLDI)—a search engine that indexes data to a river network —and its applications for data producers, application developers, data analysts, and modelers. A vital component of several USGS web systems as well as the growing index of data in Geoconnex (the Internet of Water’s core technology), the NLDI has been key to unveiling relationships between single monitoring locations and the broader water world. Now, following a recent effort to convert the code base to Python to increase open-source accessibility, it’s set to make water data even more discoverable and easily accessible. Join this webinar to learn more about the NLDI’s past as a groundbreaking EPA and USGS collaboration, and its future, including the development of client applications in the USGS Monitoring Location pages and Water Quality Portal. The presentation will be targeted at both a technical and non-technical audience.
Great Lakes to Gulf: Data Visualizations and Tracking Nutrient Trends in the Mississippi River Basin
The Great Lakes to Gulf Virtual Observatory (GLTG) is an interactive, geospatial application that provides user-friendly access to water quality information from the Mississippi River and its tributaries. GLTG helps people visualize and better understand nutrient pollution and its historical evolution. From agricultural conservation practices to green infrastructure, to Nitrate Loading trends, there’s a wealth of information at your fingertips. We’ll walk you through the different layers and data available and then dive into lessons learned from our work on nutrient trends analysis in the Mississippi River Basin.
Join the Center for Geospatial Solutions to learn more about the Internet of Water’s flagship technology, Geoconnex. This revolutionary water data-specific search index links disjointed water data with structured metadata, enabling seamless organization and discovery of information by theme and location. Ultimately, Geoconnex will unlock a Google-like experience, helping save countless hours in water data searches for the benefit of water managers, researchers, and the public alike.
Streamflow data are critical for decision-makers from local to regional scales who are responsible for an array of topics ranging from real-time water management to long-term water resources planning. Through this project we engaged a stakeholder advisory group to identify and compile critical streamflow monitoring metadata from 32 different organizations across the Pacific Northwest and created an interactive data visualization. We also distributed a survey to capture information about the organizations monitoring networks and quality assurance protocols and convened roundtable discussions in each state to gain additional insight into the challenges that organizations are facing and to identify priorities in regard to improved quality and accessibility of streamflow data.
The Western States Water Council (WSWC) has completed the development of the first stage of the Western States Water Data Access and Analysis Tool (WestDAAT). WestDAAT will improve data visualization and streamline water data sharing for eighteen states in the western US. The new tool is the latest phase of the WSWC’s Water Data Exchange (WaDE) program, launched in 2011. WestDAAT encourages data sharing through a common system that improves access to and analysis of public water rights and water use data by providing this data in standardized, machine-readable formats. For the first time, WestDAAT provides access to information about surface water and groundwater prior-appropriation rights, serving approximately 2.5 million users.
DataStream Initiative is a Canadian charity dedicated to advancing freshwater protection through open data flows. Our core programming includes a free, online platform for sharing water quality data, which was first launched in 2016. It provides a place for monitoring programs of all kinds to publish their results publicly – in secure, open and accessible formats that support data (re)use. In this webinar, we will explore how DataStream is contributing to a growing open data system of systems and helping to advance collaborative water stewardship. We’ll take a tour through the platform and some of the twists and turns in our evolution and growth. Importantly, we’ll share the lessons learned along the way and key insights from our work in the open data space. We will finish off by discussing what is next for DataStream in the years ahead.