Publications
Browse publications that have a connection to the Community for Data Integration.
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Community for Data Integration 2017 annual report 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, activities, collaboration areas, workshop, and...
Authors
Leslie Hsu, Madison Langseth
U.S. Geological Survey Community for Data Integration 2017 Workshop Proceedings U.S. Geological Survey Community for Data Integration 2017 Workshop Proceedings
Executive Summary The U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held May 16–19, 2017 at the Denver Federal Center. There were 183 in-person attendees and 35 virtual attendees over four days. The theme of the workshop was “Enabling Integrated Science,” with the purpose of bringing together the community to discuss current topics, shared challenges...
Authors
Leslie Hsu, Vivian B. Hutchison, Madison Langseth, Benjamin Wheeler
Development and release of phenological data products—A case study in compliance with federal open data policy Development and release of phenological data products—A case study in compliance with federal open data policy
In Autumn 2015, USA National Phenology Network (USA-NPN) staff implemented new U.S. Geological Survey (USGS) data-management policies intended to ensure that the results of Federally funded research are made available to the public. The effort aimed both to improve USA-NPN data releases and to provide a model for similar programs within the USGS. This report provides an overview of the...
Authors
Alyssa Rosemartin, Madison Langseth, Theresa Crimmins, Jake F. Weltzin
An open repository of earthquake-triggered ground-failure inventories 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...
Authors
Robert Schmitt, Hakan Tanyas, M. Anna Nowicki Jessee, Jing Zhu, Katherine Biegel, Kate Allstadt, Randall Jibson, Eric Thompson, Cees van Westen, Hiroshi P. Sato, David Wald, Jonathan Godt, Tolga Gorum, Chong Xu, Ellen Rathje, Keith Knudsen
Community for Data Integration 2016 annual report 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...
Authors
Madison Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew Bock, Rachel T. Bolus, R. Sky Bristol, Katherine Chase, Theresa Crimmins, Paul Earle, Richard Erickson, A. Everette, Jeff Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew Ignizio, Dana Infante, Catherine Jarnevich, Jeanne Jones, Tim Kern, Scott Leibowitz, Francis Lightsom, R. Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey Morisette, John Nelson, Tamar Norkin, Todd Preston, Alyssa Rosemartin, Roy Sando, Jason Sherba, Richard Signell, Benjamin Sleeter, Eric Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel 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
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)...
Authors
Andrew Bock, Lauren Hay, Steven L. Markstrom, Christopher Emmerich, Marian Talbert
The U.S. Geological Survey Monthly Water Balance Model Futures Portal 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...
Authors
Andy Bock
USA National Phenology Network gridded products documentation 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...
Authors
Theresa Crimmins, R. Marsh, Jeff Switzer, Michael Crimmins, Katharine Gerst, Alyssa Rosemartin, Jake F. Weltzin
Community for Data Integration 2015 annual report 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...
Authors
Madison Langseth, Michelle Chang, Jennifer Carlino, J. Bellmore, Daniella Birch, Joshua Bradley, R. Bristol, Daniel Buscombe, Jeffrey Duda, Anthony Everette, Tabitha Graves, Michelle Greenwood, David Govoni, Heather Henkel, Vivian Hutchison, Brenda K. Jones, Tim Kern, Jennifer Lacey, Rynn M. Lamb, Frances Lightsom, John Long, Ra’ad Saleh, Stan W. Smith, Christopher Soulard, Roland Viger, Jonathan A. Warrick, Katherine Wesenberg, Daniel Wieferich, Luke Winslow
Dam Removal Information Portal (DRIP)—A map-based resource linking scientific studies and associated geospatial information about dam removals 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...
Authors
Jeffrey Duda, Daniel J. Wieferich, R. Bristol, J. Bellmore, Vivian Hutchison, Katherine Vittum, Laura Craig, Jonathan A. Warrick
sbtools: A package connecting R to cloud-based data for collaborative online research 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...
Authors
Luke Winslow, Scott Chamberlain, Alison P. Appling, Jordan Read
Sharing our data—An overview of current (2016) USGS policies and practices for publishing data on ScienceBase and an example interactive mapping application 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...
Authors
Katherine Chase, Andrew Bock, Roy Sando