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Biodiversity Science

Focusing on a landscape-level understanding of terrestrial, aquatic & marine species & ecosystems, through data integration and visualization.

Advanced Research Computing

Provides high-performance computing (HPC) capabilities & expertise to USGS scientists for the acceleration and expansion of scientific discovery.

Library and Information Science

Enables access to USGS scientific data & publications by partnering with USGS programs/centers to facilitate lifecycle data management...

Science Analytics and Synthesis (SAS)

Science Analytics and Synthesis (SAS) emphasizes a science data lifecycle approach to Earth systems data and information. We strive to accelerate research and decision making through data science, information delivery, advanced computing, and biodiversity analytics.

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U.S. Register of Introduced and Invasive Species StoryMap

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Comprehensive and Authoritative Lists of Non-Native Taxa Established in Alaska, Hawaii, and the Conterminous United States.

StoryMap

Gap Analysis Project Species Viewer

Screenshot of the Gap Analysis Species Viewer

The Gap Analysis Project Species Viewer is focused on providing access to species range maps and predicted habitat distribution models for species within the continental U.S. through an interactive map, allowing the user to explore the data.

Viewer

Hawaii Waterfalls Linked to the National Hydrography Datasets

Image: Waterfall, Maui, Hawaii

Waterfall locations and estimated waterfall heights on five of the main Hawaiian Islands linked the NHD. Knowing waterfall locations and characteristics can aide in understanding species distributions and migration patterns across stream networks.

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News

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For USGS Scientist Abby Benson, data standardization for big data is FAIR game

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November 10, 2021 CDI Monthly Meeting

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Analysis of Updated USGS Database Finds Increase in America’s Lands and Waters Managed for Biodiversity

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Publications

Using fish community and population indicators to assess the biological condition of streams and rivers of the Chesapeake Bay watershed, USA

The development of indicators to assess relative freshwater condition is critical for management and conservation. Predictive modeling can enhance the utility of indicators by providing estimates of condition for unsurveyed locations. Such approaches grant understanding of where “good” and “poor” conditions occur and provide insight into landscape contexts supporting such conditions. However, as a
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Ecosystems, Water Resources, Science Analytics and Synthesis (SAS), Chesapeake Bay Activities, Maryland-Delaware-D.C. Water Science Center, Wetland and Aquatic Research Center

Ten simple rules for creating a scientific web application

The use of scientific web applications (SWApps) across biological and environmental sciences has grown exponentially over the past decade or so. Although quantitative evidence for such increased use in practice is scant, collectively, we have observed that these tools become more commonplace in teaching, outreach, and in science coproduction (e.g., as decision support tools). Despite the increased
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Science Analytics and Synthesis (SAS)

Capacity assessment for Earth Monitoring, Analysis, and Prediction (EarthMAP) and future integrated monitoring and predictive science at the U.S. Geological Survey

Executive SummaryManagers of our Nation’s resources face unprecedented challenges driven by the convergence of increasing, competing societal demands and a changing climate that affects the stability, vulnerability, and predictability of those resources. To help meet these challenges, the scientific community must take advantage of all available technologies, data, and integrative Earth systems mo
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Ecosystems, Water Resources, Science Analytics and Synthesis (SAS), Energy Resources Program, Geology, Energy & Minerals Science Center, Wetland and Aquatic Research Center , Oregon Water Science Center, Southwest Biological Science Center, Oklahoma-Texas Water Science Center, Upper Midwest Environmental Sciences Center
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