Skip to main content
Advanced Search

Folders: ROOT > ScienceBase Catalog > Community for Data Integration (CDI) > CDI Projects Fiscal Year 2014 ( Show all descendants )

9 results (43ms)   

View Results as: JSON ATOM CSV
thumbnail
Over the last few years, the ISO 19115 family of metadata standards has become the predominantly accepted worldwide standard for sharing information about the availability and usability of scientific datasets among researchers. The U.S. interests in the ISO standard have also been growing as global-scale science demands participation with the broader international community; however, adoption has been slow because of the complexity and rigor of the ISO metadata standards. In addition, support for the standard in current implementations has been minimal. Principal Investigator : Stan Smith, Joshua Bradley Cooperator/Partner : Chis Turner In 2009, the Alaska Data Integration Working Group members (ADIwg) mobilized...
thumbnail
The U.S. network of 160 weather radars known as NEXRAD (NEXt generation RADar) is one of the largest and most comprehensive terrestrial sensor networks in the world. To date, the National Climatic Data Center (NCDC) has archived about 2 petabytes data from this system. Although designed for meteorological applications, these radars readily detect the movements of birds, bats, and insects. Many of these movements are continental in scope, spanning the entire range of the network. It is unclear whether biological or meteorological data comprise the bulk of the archive. Regardless, the biological portion is sufficiently large that it likely represents one of the largest biological data archives in the world, perhaps...
thumbnail
Note 9/22/18: The Adopt a Pixel concept has been incorporated into NASA's Globe Observer App (Land Cover Tool). Find out more and download the app at https://observer.globe.gov/. *** Adopt a Pixel-Data Infrastructure (AaP-DI) provides the basis for a new data acquisition system for ground reference data. These data will be used to complement existing and future remote sensing collections by providing geospatiallytagged ground-based landscape imagery and landcover of an exact location from 6 different viewing aspects. The goal is for AaP-DI to enable citizen participation in Landsat science. Principal Investigator : Ryan Longhenry, Eric C Wood Cooperator/Partner : Jeannie Allen, Virginia Butcher, Rachel Headley,...
thumbnail
The purpose of this project was to integrate the Bat Banding Program data (1932-1972) and the U.S. and Canada diagnostic data for white-nose syndrome with the USGS Bat Population Data (BPD) Project and provide the bat research community with secure, role-based access to these previously unavailable datasets. The objectives of this project were to: 1) integrate WNS diagnostic data into the BPD (http://my.usgs.gov/bpd - content no longer available); 2) incorporate the historical bat banding data produced by the Bat Banding Program into the BPD; and, 3) develop the application programming interfaces (APIs) and data services required to share these datasets with DOI and USGS enterprise data resources, BISON and Sciencebase....
thumbnail
Large online data catalogs use controlled vocabularies to categorize datasets in ways that allow end users to sort and select data matching their needs. The eventual goal of this project is to build functional services so that the USGS Thesaurus and other USGS-controlled vocabularies will be available to the English-speaking scientific community, especially within the USGS where they can be used to improve metadata quality and data discovery. The project team used the Tetherless World Constellation (TWC) Semantic Web Methodology, which is designed to examine use cases and determine both functional and nonfunctional system requirements without prejudicial commitments to meeting those requirements by utilizing particular...
thumbnail
People in the locality of earthquakes are publishing anecdotal information about the shaking within seconds of their occurrences via social network technologies, such as Twitter. In contrast, depending on the size and location of the earthquake, scientific alerts can take between two to twenty minutes to publish. The goals of this project are to assess earthquake damage and effects information, as impacts unfold, by leveraging expeditious, free and ubiquitous social-media data to enhance our response to earthquake damage and effects. Principal Investigator : Michelle Guy, Paul S Earle Cooperator/Partner : Scott R Horvath, Douglas Bausch, Gregory M Smoczyk The project leverages an existing system that performs...
thumbnail
The purpose of this project is to improve the USGS Publications Warehouse (Pubs Warehouse) so that a person can search for USGS publications by geographic region in addition to existing search criteria; for example, one could search using map zooms or congressional districts. The addition of geographic searches allows users to narrow their search results to specific areas of interest, which reduces the time required to sift through all results outside the area of interest. Principal Investigator : Rex Sanders Cooperator/Partner : Qi Tong, Jenna E Nolt, James M Kreft, Frances L Lightsom, Carolyn Hayashida Degnan, Jennifer L Bruce, Ben Wheeler In FY 2014, the project team determined that the ScienceBase Footprint...
thumbnail
The national Nonindigenous Aquatic Species (NAS) Database Program serves as a repository for geo-referenced occurrence data on introduced aquatic organisms across the nation. The NAS Program, including the database and website (http://nas.er.usgs.gov), is a well-known resource and has been widely referenced in peer reviewed literature, agency reports, state and national management plans, news articles and other locations. Access to NAS occurrence data is currently restricted to three channels: directly through the NAS website (primarily single occurrence records and species distribution maps), distributed databases (e.g, GBIF, BISON), and custom data queries directly through NAS program staff. The goal of this project...
thumbnail
Digital Elevation Models (DEM) provide details of the earth’s surface and are used for visualization, physical modeling, and elevation change analysis. Creating DEMs in coastal environments is complicated by the highly ephemeral nature of the coast and the need to span the land-water interface. This requires merging multiple bathymetric and topographic datasets that have been collected at different times, using different instrument platforms with varying levels of accuracy, and with variable spatial resolution and coverage. Because coastal change can occur over relatively short time scales (days to weeks in the case of storms), rapid updates to coastal DEMs are also needed. These challenges and the lack of available...