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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News

Date published: March 30, 2019

From Big Data to Smart Data: 2019 CDI Workshop Registration is Open

Registration is open for our 2019 Community for Data Integration Workshop, "From Big Data to Smart Data."

Date published: March 6, 2019

New Species Habitat Distribution Maps Now Support Conservation Planning at a National Scale

A new dataset of habitat distribution for terrestrial vertebrate species in the conterminous United States is now available from the USGS.

Date published: February 21, 2019

Twenty Community for Data Integration Proposals Advance to Phase 2

Thank you to all community members who submitted, commented on, or voted for the Statements of Interest! 

Publications

Year Published: 2018

Solving a nomenclatural conundrum: Cernosvitovia crainensis (Mršić, 1989) and Aporrectodea macvensis Šapkarev in Mršić, 1991 (Lumbricidae)

This contribution deals with the names and authorship of two lumbricid taxa endemic to the Balkans (see Stojanović et al., this volume). Although their validity has never been questioned, it has been unclear up to now which publication has made these two species-group names available according to the rules of the International Code of Zoological...

Nicolson, David T.; Csuzdi, Csaba

Year Published: 2018

Community for Data Integration fiscal year 2017 funded project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 11 projects funded in fiscal year 2017, outlining their goals, activities, and outputs.

Hsu, Leslie; Allstadt, Kate E.; Bell, Tara M.; Boydston, Erin E.; Erickson, Richard A.; Everette, A. Lance; Lentz, Erika E.; Peters, Jeff; Reichert, Brian E.; Nagorsen, Sarah; Sherba, Jason T.; Signell, Richard P.; Wiltermuth, Mark T.; Young, John A.
Hsu, L., Allstadt, K.E., Bell, T.M., Boydston, E.E., Erickson, R.A., Everette, A.L., Lentz, E., Peters, J., Reichert, B.E., Nagorsen, S., Sherba, J.T., Signell, R.P., Wiltermuth, M.T., and Young, J.A., 2018, Community for Data Integration fiscal year 2017 funded project report: U.S. Geological Survey Open-File Report 2018–1154, 15 p., https://doi.org/10.3133/ofr20181154.

Year Published: 2018

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