Science Analytics and Synthesis (SAS)

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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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Gap Analysis Project Species Viewer

Gap Analysis Project 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

Hawaii Waterfalls Linked to the National Hydrography Datasets

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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Comprehensive List of Non-Native Species in AK-HI-L48, V2.0

Comprehensive List of Non-Native Species in AK-HI-L48, V2.0

A compilation and analysis of authoritative assertions of the nonindigenous status of taxa in Alaska, Hawaii, and the conterminous United States of America.

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News

Date published: August 3, 2021

August 11, 2021 CDI Monthly Meeting

The August 2021 Monthly Virtual Meeting will feature a presentation on hazardous substance data and a CDI pop-up lab on communicating about data.

Date published: June 25, 2021

July 14, 2021 CDI Monthly Meeting

The July 2021 Monthly Virtual Meeting will feature presentations on FAIR geophysical data and lessons for developing decision support tools.

Publications

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Year Published: 2021

Leveraging existing technology: Developing a trusted digital repository for the U.S. Geological Survey

As Federal Government agencies in the United States pivot to increase access to scientific data (Sheehan, 2016), the U.S. Geological Survey (USGS) has made substantial progress (Kriesberg et al., 2017). USGS authors are required to make federally funded data publicly available in an approved data repository (USGS, 2016b). This type of public data...

Hutchison, Vivian B.; Norkin, Tamar; Langseth, Madison; Ignizio, Drew; Zolly, Lisa; McClees-Funinan, Ricardo; Liford, Amanda N.

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Year Published: 2021

Quantifying the representation of plant communities in the protected areas of the U.S.: An analysis based on the U.S. National Vegetation Classification Groups

Plant communities represent the integration of ecological and biological processes and they serve as an important component for the protection of biological diversity. To measure progress towards protection of ecosystems in the United States for various stated conservation targets we need datasets at the appropriate thematic, spatial, and temporal...

McKerrow, Alexa J.; Davidson, Anne; Rubino, Matthew; Faber-Langendoen, Don; Dockter, Daryn (Contractor)

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Year Published: 2021

Refining the coarse filter approach: Using habitat-based species models to identify rarity and vulnerabilities in the protection of U.S. biodiversity

Preserving biodiversity and its many components is a priority of conservation science and how to efficiently allocate resources to preserve healthy populations of as many species, habitats, and ecosystems as possible. We used the U.S. Geological Survey (USGS) Gap Analysis Project (GAP) species models released in 2018, which identify...

Davidson, Anne; Dunn, Leah; Gergely, Kevin; McKerrow, Alexa J.; Williams, Steven G.; Case, Mackenzie