Science Analytics and Synthesis (SAS)
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) 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.
The USGS announces the release of the Species of Greatest Conservation Need national database. The SGCN lists are part of the State Wildlife Action Plan (SWAP) process and identify the species most in need of conservation action in that state or territory. In total, 16,420 species have been included in the SGCN national list.
Evaluation of biodiversity data portals based on requirement analysis
In recent years, concern about the misuse of natural resources has been increasing. It is essential to know in detail the biodiversity of an ecosystem to understand and analyze the impact of human activities on nature, as well as to promote the economic growth of a country. To achieve these goals, public and private institutions are...Pizzigatti Corrêa, Pedro Luiz; de Moraes Batista, André Filipe; Lins da Silva, Daniel; Soares Rodrigues, Ronaldo; Frame, Mike; Morandini, Marcelo; Stanzani, Silvio; Correa, Fernando
Promoting synergy in the innovative use of environmental data—Workshop summary
From December 2 to 4, 2015, NatureServe and the U.S. Geological Survey organized and hosted a biodiversity and ecological informatics workshop at the U.S. Department of the Interior in Washington, D.C. The workshop objective was to identify user-driven future directions and areas of collaboration in advanced applications of environmental data...Hamilton, Healy; Guala, Gerald F.; Simpson, Annie
Community for Data Integration 2017 annual report
The Community for Data Integration (CDI) is a group that helps members grow their expertise on all aspects of working with scientific data. The CDI’s activities advance data and information integration capabilities in the U.S. Geological Survey and in the wider Earth and biological sciences. This annual report describes the presentations,...Hsu, Leslie; Langseth, Madison L.