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Community for Data Integration (CDI)

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The Community for Data Integration (CDI) is a dynamic community of practice working together to grow USGS knowledge and capacity in scientific data and information management and integration.

News

October 9, 2024 CDI Monthly Meeting: Statement of Interest Lightning Presentations

October 9, 2024 CDI Monthly Meeting: Statement of Interest Lightning Presentations

September 11, 2024 CDI Monthly Meeting

September 11, 2024 CDI Monthly Meeting

August 14, 2024 CDI Monthly Meeting

August 14, 2024 CDI Monthly Meeting

Publications

Wave runup and total water level observations from time series imagery at several sites with varying nearshore morphologies

Coastal imaging systems have been developed to measure wave runup and total water level (TWL) at the shoreline, which is a key metric for assessing coastal flooding and erosion. However, extracting quantitative measurements from coastal images has typically been done through the laborious task of hand-digitization of wave runup timestacks. Timestacks are images created by sampling a cross-shore ar
Authors
Mark L. Buckley, Daniel Buscombe, Justin J. Birchler, Margaret Louise Palmsten, Eric Swanson, Jenna A. Brown, Michael Christopher Itzkin, Curt Storlazzi, Shawn R. Harrison

Community for Data Integration 2020 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 12 projects funded in fiscal year 2020, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Emily G. Chapin, Theodore B. Barnhart, Amanda E. Cravens, Richard A. Erickson, Jason Ferrante, Aaron Fox, Nathaniel P. Hitt, Margaret Hunter, Katharine Kolb, Jared R. Peacock, Matthew D. Petkewich, Sasha C. Reed, Terry L. Sohl, Tanja N. Williamson

Urban tree cover provides consistent mitigation of extreme heat in arid but not humid cities

Urban land cover types influence the urban microclimates. However, recent work indicates the magnitude of land cover's microclimate influence is affected by aridity. Moreover, this variation in cooling and warming potentials of urban land cover types can substantially alter the exposure of urban areas to extreme heat. Our goal is to understand both the relative influences of urban land cover on lo
Authors
Peter Christian Ibsen, Benjamin R Crawford, Lucila Marie Corro, Kenneth J. Bagstad, Brandon E McNellis, G. Darrel Jenerette, James E. Diffendorfer

Science

Developing inter-agency templates for FAIR genetic data archiving

Standardized archiving of genetic data is essential for reuse in monitoring biodiversity and data syntheses.
link

Developing inter-agency templates for FAIR genetic data archiving

Standardized archiving of genetic data is essential for reuse in monitoring biodiversity and data syntheses.
Learn More

A National Tool for Graphing and Synthesizing Continuous and Discrete Water-Quality Data

Provide synthesis of water quality data to better understand the Nation’s water resources
link

A National Tool for Graphing and Synthesizing Continuous and Discrete Water-Quality Data

Provide synthesis of water quality data to better understand the Nation’s water resources
Learn More

USGS Data in K-12 Education: Inspiring Future Scientists

Co-producing adaptable applications and trainings using USGS data to enhance data literacy in K-12 education.
link

USGS Data in K-12 Education: Inspiring Future Scientists

Co-producing adaptable applications and trainings using USGS data to enhance data literacy in K-12 education.
Learn More
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