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CDI FY25 Funded Projects

By Community for Data Integration (CDI)

The Community for Data Integration supported fifteen projects in FY25.

CDI annually funds projects that promote data integration for interdisciplinary research, innovative data management, and demonstrations of new technology. Awarded projects for FY25 are below, with links to the project page in the title.

TitleLead PI USGS Program
Terrestrial Remote Sensing Data Ingestion With PyHAT (Python Hyperspectral Analysis Tool)Ryan B AndersonAstrogeology Science Center
A Scalable System for Geospatial Delivery of Hi-Res Data Products From Mobile Monitoring PlatformsPeter C EsselmanGreat Lakes Science Center
Is It Me or the Water Quality Portal? Providing Real-Time Download Reliability Metrics to UsersElise D HinmanWater Resources Mission Area
Advancing the Geophysical Survey (GS) Data Standard and GSPy ToolboxStephanie R. JamesGeology, Geophysics, and Geochemistry Science Center
Scaling-Up Phenological Date Matching for Invasive Species Mapping: A Free Open-Source WorkflowCatherine S Jarnevich​Fort Collins Science Center
GeoDRAW (Geospatial Data Retrieval and Alignment Workflow) to Advance Data-Visualization and Earth Systems Model DevelopmentJeffrey S KwangWater Resources Mission Area
An Open-Source Workflow for Point Cloud Based Geomorphic Change Detection and Sediment Budget AnalysisRaymond LeBeauSouthwest Biological Science Center
Leveraging the National Water Model to Inform Binational Management of Invasive Carp in North AmericaJessica Z LeRoyCentral Midwest Water Science Center
Snakemake Training: Building Data Pipelines in PythonWallace (Andy) McAlileyWater Resources Mission Area
Understanding and Streamlining Environmental DNA QA/QC AnalysisChristopher M MerkesUpper Midwest Environmental Sciences Center
Git/Software-Release Workshop for USGS and Python/R Data Retrieval Demo for Open ScienceBojan MilinicUpper Midwest Water Science Center
An Application for Automation and Streamlining of Workflow for Modeling of Time-Series DataKyle A PulsKansas Water Science Center
Increasing Understanding of Large River Dynamics Through an Open-Source Bedform ToolboxCollin J RolandUpper Midwest Water Science Center
Bridging the Learning Gap in the R Computing Environment Using Water-Quality DataKimberly H ShafferWater Resources Mission Area
Data Quality Control for Everyone: A Course and Recipes for Well-Documented Data Workflows in RGregor-Fausto SiegmundSouthwest Biological Science Center
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