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Organization

Core Science Analytics, Synthesis and Libraries Program

Core Science Analytics, Synthesis and Libraries

CSAS Vision

Providing a reliable, comprehensive view of USGS data that accelerates scientific discovery and reveals new connections to increase our understanding of Earth's natural systems.

CSAS Mission

With expertise in technology, informatics, and science, CSAS leads the management and delivery of scientific data and information for the USGS. CSAS implements and promotes standards and best practices to enable efficient, data-driven science for decision making at multiple scales. We build critical relationships to identify the data, and to develop and deploy appropriate technological solutions that support rapid response to emerging natural resource issues.


http://www.usgs.gov/core_science_systems/csas/index.html
Parent Organization: Core Science Systems
This ScienceBase space provides an array of USGS Series publications, journal articles, and other published references for the Gap Analysis Program. Information on GAP-related publications can also be found at: http://gapanalysis.usgs.gov/publications/
Categories: Publication
OBIS-USA provides integrated data for marine biological observations aligned with the Darwin Core standard.
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GAP species range data show a coarse representation of the total areal extent of a species or the geographic limits within which a species can be found (Morrison and Hall 2002). To represent these geographic limits, GAP compiled existing GAP data, where available, and NatureServe data (Patterson et al. 2003, Ridgely et al. 2007, NatureServe 2010) IUCN data (IUCN 2004), where needed. Data provided by GAP in collaboration with the Northwest Gap Analysis Project (NWGAP), the Southwest Regional Gap Analysis Project (SWReGAP), the Southeast Gap Analysis Project (SEGAP), the Alaska Gap Analysis Project (AKGAP), the Hawaii Gap Analysis Project (HIGAP), the Puerto Rico Gap Analysis Project (PRGAP), and the U.S. Virgin Islands...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
This is a collection of biological taxa and associated information. It serves as a point of reference for taxa of interest to the Biogeographic Information System, an enterprise of the Core Science Analytics, Synthesis and Libraries Program designed to serve as an information underpinning for the National Biogeographic Map and the National Biodiversity Assessment. The primary features of the taxa registry include the following: Identifiers - provides a connection point for different identifiers for the same species to aid in interconnecting between relevant data systems Links - provides web links and API connection points to different data systems associated with a species Additional attributes - provides additional...
Categories: Data
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ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.