As researchers address increasingly complex scientific challenges, the need for advanced computational capacity grows. Along with the increased need to interact with high performance computing environments also comes the need for greater expertise in optimizing code to minimize processing time and maximize quality. The CSAS&L ARC program is designed to help USGS scientists access and effectively utilize high performance computing resources.
Development of the Biocomplexity Thesaurus began in 2002-2003 through a partnership between the NBII and ProQuest (formerly Cambridge Scientific Abstacts [CSA]), a worldwide information company with more than 30 years experience as a leading bibliographic database provider. The original Biocomplexity Thesaurus, first made available online in 2003, was a merger of five individual thesauri: CSA Aquatic Sciences and Fisheries Thesaurus, CSA Life Sciences Thesaurus, CSA Pollution Thesaurus, CSA Sociological Thesaurus, and CERES/NBII Thesaurus.
The Biocomplexity Thesaurus Web service (SOAP) interface provides the capability for direct use of the thesaurus within a user's own applications, rather than requiring the user to come to the CSAS&L's Biocomplexity Thesaurus site for each individual use of our Thesaurus. Web Service
Biodiversity Information Serving Our Nation (BISON) allows users to find, explore, and download species occurrence records from hundreds of data providers for thousands of species that occur in the United States and U.S. territories. By aggregating data from natural history museums, monitoring programs, research studies, citizen science programs, and peer-reviewed literature, BISON is developing a national resource (with over 100M records) to facilitate mobilization of species occurrence data of diverse types: specimens, observations, fossils, and more.
BISON Web Viewer: A Web-based map viewer allowing users to search, view and download species occurrence data from BISON.
BISON Web Services: Search & retrieval Web services and Web map services (WMS) to enable use of species occurrence data from BISON in custom applications and widgets.
BISON API Demos: Examples of BISON application programming interface (API) use via Web services.
Development of the The Community for Data Integration (CDI) is a dynamic community of practice working together to advance scientific data and information management and integration capabilities in the USGS. This is a publicly available web space managed by community members, and much of the content found throughout this site provides exposure to current thinking of the community. It is provided into the public space to encourage participation and collaboration with the many groups and individuals who are working on similar issues but does not represent official policy of the USGS or the U.S. Government in general.
Data Observation Network for Earth (DataONE) is poised to be the foundation of new innovative environmental science through a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data. The USGS is an active participant in the DataONE network through interaction and leadership in working groups/user groups; supporting data sharing/integration by establishing DataONE Member Nodes; developing tools and services; and providing overall project leadership and direction.
With the Digital Object Identifier (DOI) Service, USGS scientists and data managers can generate and maintain globally unique, persistent and resolvable identifiers for digital data products. USGS is using DOIs in support of improved data management practices and to cite web-accessible datasets, and other digital data products in journal articles. This service has been developed in collaboration with Department of Energy's Oak Ridge National Laboratory (ORNL) Mercury Consortium and utilizes the California Digital Library EZID service.
Energy and Environment in the Rocky Mountain Area (EERMA) is evaluating environmental impacts of energy development (conventional and unconventional) in Colorado and New Mexico to provide a comparison of cumulative effects and tradeoffs generated by cultivating different energy sources. CSAS&L is working to establish a data catalog for important resources, enable uploading and sharing of data resources, and provide visualization of separate data layers.
The mission of the Gap Analysis Program (GAP) is to improve our ability to assess the affects of land management practices by developing and sharing information on where species and natural communities occur and how they are being managed for their long-term survival. "Gap analysis" is a scientific method for identifying the degree to which native animal species and natural plant communities are represented in our present-day network of conservation lands. Those species and communities not adequately represented constitute "gaps" in conservation lands and efforts.
Web Services: USGS GAP provides web service connections for its data sets.
Integrated Taxonomic Information System (ITIS) is a partnership of federal agencies formed to satisfy their mutual needs for scientifically credible taxonomic information.
The goal for ITIS is to create an easily accessible database with reliable information on species names and their hierarchical classification. The database is reviewed periodically to ensure high quality with valid classifications, revisions, and additions of newly described species. ITIS includes documented taxonomic information of flora and fauna from both aquatic and terrestrial habitats.
Integrated Taxonomic Information System: is the authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. We are a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF). The ITIS and Species 2000 Catalogue of Life (CoL) partnership is proud to provide the taxonomic backbone to the Encyclopedia of Life (EOL). Web Service | RSS Entry | What's New
The mission of the National Fish Habitat Partnership is to protect, restore, and enhance the nation's fish and aquatic communities through partnerships that foster fish habitat conservation and improve the quality of life for the American people. To remain true to the National Fish Habitat Partnership's science-based decision-making strategies, data used in Through a Fish's Eye: The Status of Fish Habitats in the United States 2010 (and future assessments) are accessible through an online data system maintained by the U.S. Geological Survey.
The results of the 2010 NFHAP National Assessment, as well as other data contributed by National Fish Habitat Partnerships, are available for download via the National Fish Habitat Partnership Data System. Additionally, several ArcGIS map services are available for use in your own GIS applications.
The results of the Assessment can also be viewed online using the National Data Viewer
Classifying vegetation is a critical to sound ecological science and efficient land assessment, management and planning. The National Vegetation Classification (NVC) is a central organizing framework for how all vegetation in the United States is inventoried and studied, from broad scale formations (biomes) to fine-scale plant communities. The purpose of the NVC is to produce uniform statistics about vegetation resources across the nation, based on vegetation data gathered at local, regional, or national levels. The latest classification standard was published in 2008 by the Federal Geographic Data Committee and provides the basis for ongoing refinement of the NVC. CSAS&L actively participates in the development of this important standard through our involvement with the FGDC Vegetation Subcommittee.
The Ocean Biogeographic Information System - USA (OBIS-USA) provides access to biogeographic data collected from U.S. waters and oceanic regions--the Arctic, the Atlantic and Pacific oceans, the Caribbean Sea, the Gulf of Mexico, and the Great Lakes. The data are aggregated from a large number of datasets from a multitude of partners documenting where and when species were observed or collected. It also offers a unique combination of tools to aide scientists, resource managers, and decision makers in research and analyses critical to undertanding and managing the nation's valued marine ecosystems.
OBIS-USA: Going beyond the limits of traditionally encountered biodiversity data, OBIS-USA configures the data and web services to enable integration with other data types, such as physical oceanography, water chemistry, climate, and other types. It can integrate application-critical details such as absence, abundance, effort, method, and tracking. Over time, OBIS-USA aims to further identify and innovate yet more categories of important biological observations and details. Web Service
A data cataloging and collaborative data management platform providing access to aggregated information derived from many data and information domains and web services enabling use of data in other applications. ScienceBase includes information feeds from existing data systems, metadata catalogs, and scientists contributing new and original content.
ScienceBase: is developed using a REST service architecture, employing standard data transport formats for deriving data from and manipulating data in ScienceBase (create, update, and delete). The ScienceBase information model consists of a core set of attributes for all cataloged items and extended metadata that describe additional attributes corresponding to the cataloged information item type. The option to extend metadata elements provides for refined item descriptions and a higher level integration of various types of metadata such that a ScienceBase Item can represent anything from a distinct scientific dataset to a complex streaming data source to a description of a science project.
In 2005, each of the 50 states and five U.S. territories developed a State Wildlife Action Plan, outlining the steps that are needed to conserve wildlife and habitat in their state or territory before they become too rare or costly to restore. The Species Conservation Analysis Tool provides a national look at Species of Greatest Conservation Need as reported in the State Wildlife Action Plans.
The USGS Core Science Metadata Clearinghouse is a repository that contains approximately 100,000 metadata records from more than 80 data providers. The Clearinghouse is part of the CSAS&L Metadata Program, whose mission is to provide USGS and its partners with data documentation services that make critical data management activities readily accessible and easy to use. These include: metadata creation and quality control assistance, metadata authoring tools, educational and training workshops, and a searchable metadata clearinghouse. The CSAS&L Metadata Program seeks to achieve a workflow environment that assists USGS scientists with the implementation of critical data management activities.
USGS Core Science Metadata Clearinghouse: is an application developed by the USGS Core Science Analytics, Synthesis, and Libraries (CSAS&L) program to locate, evaluate, and access earth science data and information from cooperating data partners and information sources. It contains standardized metadata descriptions of earth science data sets and information products from over 94 partners. Metadata descriptions follow the Federal Geographic Data Committee's (FGDC's) Content Standards for Digital Geospatial Metadata, and other standards such as the Ecological Metadata Language. Web Service
The USGS Data Management Toolbox is a USGS website dedicated to support and enable better science data management. Created and sponsored by the Community for Data Integration (CDI) Data Management Working Group, the site provides suggested best practices, tools, and policies to ensure good data management. The site guides scientists, data managers, and data stewards through the USGS data lifecycle enabling the ability to better plan, describe, preserve, and share data.
The USGS Library program, managed by the Core Science Analytics, Synthesis, and Libraries program, supports all of the fundamental scientific research conducted within the USGS. The library serves both internal and external users with comprehensive access to the literature, data, and information necessary to understand the mission areas of the USGS and make critical decisions about how to proceed with research initiatives and investigations in the earth and natural sciences.
A tool for discovery of public USGS Datasets through text-based search; keyword, mission area, data source, and scientist faceting; and GIS-based search mechanisms. An associated provider dashboard allows USGS programs to select and provide metadata records describing their online datasets to the Catalog in response to federal Open Data requirements.
The USGS Science Data Coordinator Network (SDCN) is a Bureau-wide partnership established by Core Science Systems (CSS) to address current and cross-cutting information management issues that increase the success and impact of collaborative science projects. In partnership with the Community for Data Integration and with representation from all Mission Areas and Regions, the SDCN provides a conduit and framework for activities that help connect information investments across multiple disciplinary, geographic, temporal, and political boundaries, while assisting with identification and prioritization of local science and information management requirements. By building upon existing data investments and expertise, the SDCN supports the deployment of more consistent data management and long-term preservation practices and helps facilitate integration, discovery, access, and delivery of information assets developed at the USGS. Associate Director for CSS Kevin Gallagher serves as the SDCN Executive Sponsor and Core Science Analytics, Synthesis, and Libraries Director Cheryl Morris as Champion.
The on-the-ground approach of the SDCN will facilitate the identification of Bureau data and information needs and help guide data management priorities for science activities. The Network will also promote access to data integration tools as well as standard formats for data characterization and metadata developed through the USGS Community for Data Integration and other collaborative forums.
The Wyoming Landscape Conservation Initiative (WLCI) is a multi-partner, science-based program focusing on monitoring habitat in southwest Wyoming amidst anthropogenic changes on a landscape scale. WLCI needs data management tools that enable federal, state, and local entities to integrate resources by contributing, accessing, and archiving multidisciplinary data of various types (geospatial, database, and spreadsheet).