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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

Congratulations to the 2025 CDI Awarded Projects

Congratulations to the 2025 CDI Awarded Projects

Upcoming CDI Monthly Meetings

Upcoming CDI Monthly Meetings

CDI Carpentries Workshops

CDI Carpentries Workshops

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...
Authors
Mark L. Buckley, Daniel Buscombe, Justin J. Birchler, Margaret L. Palmsten, Eric Swanson, Jenna A. Brown, Michael 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 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...
Authors
Peter Christian Ibsen, Benjamin R Crawford, Lucila Marie Corro, Kenneth J. Bagstad, Brandon E McNellis, G. Darrel Jenerette, James E. Diffendorfer

Science

A Scalable System for Geospatial Delivery of Hi-Res Data Products From Mobile Monitoring Platforms

Using enterprise mapping capabilities to deliver data products from mobile monitoring platforms to management partners
link

A Scalable System for Geospatial Delivery of Hi-Res Data Products From Mobile Monitoring Platforms

Using enterprise mapping capabilities to deliver data products from mobile monitoring platforms to management partners
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Scaling-up phenological date matching for invasive species mapping: a free opensource workflow

Matching imagery dates to phenological events across large geographic regions for invasive species mapping.
link

Scaling-up phenological date matching for invasive species mapping: a free opensource workflow

Matching imagery dates to phenological events across large geographic regions for invasive species mapping.
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An application for automation and streamlining of workflow for modeling of time-series data

Expand usability of existing water-quality software more broadly to other time-series datasets
link

An application for automation and streamlining of workflow for modeling of time-series data

Expand usability of existing water-quality software more broadly to other time-series datasets
Learn More
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