Publications
Browse publications that have a connection to the Community for Data Integration.
Filter Total Items: 47
An open repository of earthquake-triggered ground-failure inventories
Earthquake-triggered ground failure, such as landsliding and liquefaction, can contribute significantly to losses, but our current ability to accurately include them in earthquake-hazard analyses is limited. The development of robust and widely applicable models requires access to numerous inventories of ground failures triggered by earthquakes that span a broad range of terrains, shaking characte
Authors
Robert G. Schmitt, Hakan Tanyas, M. Anna Nowicki Jessee, Jing Zhu, Katherine M. Biegel, Kate E. Allstadt, Randall W. Jibson, Eric M. Thompson, Cees J. van Westen, Hiroshi P. Sato, David J. Wald, Jonathan W. Godt, Tolga Gorum, Chong Xu, Ellen Rathje, Keith L. Knudsen
Community for Data Integration 2016 annual report
The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other CDI-sponso
Authors
Madison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-Myers
The U.S. Geological Survey Monthly Water Balance Model Futures Portal
The U.S. Geological Survey Monthly Water Balance Model Futures Portal (https://my.usgs.gov/mows/) is a user-friendly interface that summarizes monthly historical and simulated future conditions for seven hydrologic and meteorological variables (actual evapotranspiration, potential evapotranspiration, precipitation, runoff, snow water equivalent, atmospheric temperature, and streamflow) at location
Authors
Andrew R. Bock, Lauren E. Hay, Steven L. Markstrom, Christopher Emmerich, Marian Talbert
The U.S. Geological Survey Monthly Water Balance Model Futures Portal
Simulations of future climate suggest profiles of temperature and precipitation may differ significantly from those in the past. These changes in climate will likely lead to changes in the hydrologic cycle. As such, natural resource managers are in need of tools that can provide estimates of key components of the hydrologic cycle, uncertainty associated with the estimates, and limitations associat
Authors
Andy Bock
USA National Phenology Network gridded products documentation
The goals of the USA National Phenology Network (USA-NPN, www.usanpn.org) are to advance science, inform decisions, and communicate and connect with the public regarding phenology and species’ responses to environmental variation and climate change. The USA-NPN seeks to facilitate informed ecosystem stewardship and management by providing phenological information freely and openly. One way the USA
Authors
Theresa M. Crimmins, R. Lee Marsh, Jeff R. Switzer, Michael A. Crimmins, Katharine L. Gerst, Alyssa H. Rosemartin, Jake F. Weltzin
Community for Data Integration 2015 annual report
The Community for Data Integration (CDI) continued to experience success in fiscal year 2015. The CDI community members have been sharing, learning, and collaborating through monthly forums, workshops, working groups, and funded projects. In fiscal year 2015, CDI coordinated 10 monthly forums with 16 different speakers from the U.S. Geological Survey and external partners; funded 11 collaborative
Authors
Madison L. Langseth, Michelle Y. Chang, Jennifer Carlino, J. Ryan Bellmore, Daniella D. Birch, Joshua Bradley, R. Sky Bristol, Daniel D. Buscombe, Jeffrey J. Duda, Anthony L. Everette, Tabitha A. Graves, Michelle M. Greenwood, David L. Govoni, Heather S. Henkel, Vivian B. Hutchison, Brenda K. Jones, Tim Kern, Jennifer Lacey, Rynn M. Lamb, Frances L. Lightsom, John L. Long, Ra'ad A. Saleh, Stan W. Smith, Christopher E. Soulard, Roland J. Viger, Jonathan A. Warrick, Katherine E. Wesenberg, Daniel J. Wieferich, Luke A. Winslow
Dam Removal Information Portal (DRIP)—A map-based resource linking scientific studies and associated geospatial information about dam removals
The removal of dams has recently increased over historical levels due to aging infrastructure, changing societal needs, and modern safety standards rendering some dams obsolete. Where possibilities for river restoration, or improved safety, exceed the benefits of retaining a dam, removal is more often being considered as a viable option. Yet, as this is a relatively new development in the history
Authors
Jeffrey J. Duda, Daniel J. Wieferich, R. Sky Bristol, J. Ryan Bellmore, Vivian B. Hutchison, Katherine M. Vittum, Laura Craig, Jonathan A. Warrick
sbtools: A package connecting R to cloud-based data for collaborative online research
The adoption of high-quality tools for collaboration and reproducible research such as R and Github is becoming more common in many research fields. While Github and other version management systems are excellent resources, they were originally designed to handle code and scale poorly to large text-based or binary datasets. A number of scientific data repositories are coming online and are often f
Authors
Luke Winslow, Scott Chamberlain, Alison P. Appling, Jordan S. Read
Sharing our data—An overview of current (2016) USGS policies and practices for publishing data on ScienceBase and an example interactive mapping application
This report provides an overview of current (2016) U.S. Geological Survey policies and practices related to publishing data on ScienceBase, and an example interactive mapping application to display those data. ScienceBase is an integrated data sharing platform managed by the U.S. Geological Survey. This report describes resources that U.S. Geological Survey Scientists can use for writing data mana
Authors
Katherine J. Chase, Andrew R. Bock, Roy Sando
myScience—Engaging the public in U.S. Geological Survey science
myScience (http://txpub.usgs.gov/myscience/) is a Web application developed by the U.S. Geological Survey (USGS) Texas Water Science Center through a partnership with the USGS Community for Data Integration to address the need for increasing public awareness and participation in existing USGS citizen science projects. The myScience application contains data for 20 projects available for public par
Authors
Sally Holl
Community for Data Integration 2014 annual report
The U.S. Geological Survey (USGS) researches Earth science to help address complex issues affecting society and the environment. In 2006, the USGS held the first Scientific Information Management Workshop to bring together staff from across the organization to discuss the data and information management issues affecting the integration and delivery of Earth science research and investigate the use
Authors
Madison L. Langseth, Michelle Y. Chang, Jennifer Carlino, Daniella D. Birch, Joshua Bradley, R. Sky Bristol, Craig Conzelmann, Robert H. Diehl, Paul S. Earle, Laura E. Ellison, Anthony L. Everette, Pamela L. Fuller, Janice M. Gordon, David L. Govoni, Michelle R. Guy, Heather S. Henkel, Vivian B. Hutchison, Tim Kern, Frances L. Lightsom, Joseph W. Long, Ryan Longhenry, Todd M. Preston, Stan W. Smith, Roland J. Viger, Katherine Wesenberg, Eric C. Wood
A case study of data integration for aquatic resources using semantic web technologies
Use cases, information modeling, and linked data techniques are Semantic Web technologies used to develop a prototype system that integrates scientific observations from four independent USGS and cooperator data systems. The techniques were tested with a use case goal of creating a data set for use in exploring potential relationships among freshwater fish populations and environmental factors. Th
Authors
Janice M. Gordon, Nina Chkhenkeli, David L. Govoni, Frances L. Lightsom, Andrea C. Ostroff, Peter N. Schweitzer, Phethala Thongsavanh, Dalia E. Varanka, Stephan Zednik