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The purpose of this project was to support the enhanced search, access, and visualization capability for disaster maps and other contributed products on the public USGS Hazards Data Distribution System (HDDS) (U.S. Geological Survey, 2015). These products are often provided to USGS by collaborators for sharing across the response community during the course of an emergency event response; however, in the past, they were not easy for users to discover or access. This project involved the design, testing, and delivery of a new capability for HDDS to ingest, catalog, and display informational or value-added products when provided in a variety of formats. As a result of this work, the user community will be able to...
Science is an increasingly collaborative endeavor. In an era of Web-enabled research, new tools reduce barriers to collaboration across traditional geographic and disciplinary divides and improve the quality and efficiency of science. Collaborative online code management has moved project collaboration from a manual process of email and thumb drives into a traceable, streamlined system where code can move directly from the command-line onto the Web for discussion, sharing, and open contributions. Within the USGS, however, data have no such analogous system. To bring data collaboration and sharing within the USGS to the next level, we are missing crucial components. The sbtools project team built sbtools, an R interface...
This project team developed a Web-hosted application (that can also be used on mobile platforms) for automatic analysis of images of sediment for grain-size distribution, using the “Digital Grain Size” (DGS) algorithm of Buscombe (2013) (“DGS-Online,” 2015). This is a free, browser-based application for accurately estimating the grain-size distribution of sediment in digital images without any manual intervention or even calibration. It uses the statistical algorithm of Buscombe (2013) that estimates particle size directly from the spatial distribution of light intensity within the image. The application is designed to batch-process tens to thousands of images, utilizing cloud computing storage and processing technologies....
The purpose of this project was to test and develop first-generation biological data integration and retrieval capabilities for the Water Quality Portal (National Water Quality Monitoring Council, [n.d.]) using the Water Quality Exchange (WQX) data exchange standard (Environmental Information eXchange Network, 2016). The Water Quality Portal (Portal) is a significant national water data distribution node that is aligned with the vision of the Open Water Data Initiative (Advisory Committee on Water Information, [n.d.]). The Portal is sponsored by the USGS, the EPA, and the National Water Quality Monitoring Council. The WQX data exchange standard is a mature standard widely adopted within the water quality monitoring...