Welcome to the FY20 Community for Data Integration Statement of Interest site.
Commenting is open starting October 15, and we encourage you to enter comments before the voting starts on October 25.
Watch 1-minute talks from the lightning presentation session on October 23, 2019!
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|Barnhart, Theodore||Building a framework to compute continuous grids of basin characteristics for the conterminous United States|
|Bradford, John||Implementing FAIR Data Principles to a Ecohydrology Dataset Simulated at Fine Temporal and Spatial Scales for the Western United States|
|Burnett, Jessica||Integrating Two Foundational USGS Data Products: the Breeding Bird Survey (BBS) and the Bird Banding Lab (BBL) Data|
|Duniway, Michael||So you want to build a web-tool?: Assessing successes, pitfalls, and lessons learned in an emerging frontier of scientific visualization|
|Erickson, Richard||Using Jupyter Notebooks to tell data stories and create reproducible workflows|
|Fox, Aaron||USGS Cloud Environment Cookbook|
|Hitt, Nathaniel (Than)||Enabling AI for citizen science in fish ecology|
|Hunter, Margaret||Implementing FAIR practices: Storing and displaying eDNA data in the USGS Nonindigenous Aquatic Species database|
|Kolb, Katharine||Developing a "fire-aware" stream gage network by integrating USGS enterprise databases|
|Letcher, Ben||Visualizing environmental effects on animal movements|
|Liu, Sophia B||Communicate and Refine USGS Strategy for Crowdsourcing, Citizen Science, and Competitions through Workshops and Trainings|
|Martin, Julien||A framework for incorporating management objectives into an integrative predictive model to direct future eDNA monitoring|
|Medenblik, Andrea||Waterbody Rapid Assessment Tool (WaterRAT): 3-dimensional Visualization of High-Resolution Spatial Data|
|Miller, Mark||Developing operational long-term forecasting capabilities at USGS: a test case from the USA National Phenology Network|
|Nelson, Kurtis||Development and distribution of standardized data products from small UAS photo collections|
|Peacock, Jared||Development of a Flexible Multi-Channel Spatiotemporal Geophysical HDF5 Data Format Supporting FAIR|
|Petkewich, Matthew||Real-time Coastal Salinity Index for monitoring coastal drought and ecological response to changing salinity values|
GrassCast: A multi-agency tool using remote sensing, modeling, and on-the-ground science to forecast grassland productivity in the Southwest
|Ryberg, Karen||Better data stewardship of historical flood estimates—A new database and interface|
|Sofaer, Helen||Can deep learning leverage USGS occurrence data to predict invader dominance?|
|Sohl, Terry||Moving towards EarthMAP: Establishing linkages among USGS land use, water use, runoff, and recharge models|
|Webb, Richard||Research to Operations: Ensemble Modeling at Hillslope to Regional Scales|
|Wellman, Tristan||A Prototype AWS Fit-For-Purpose Scale-Transform Service|
|Williamson, Tanja N||Using machine learning to map topographic-soil & densely-patterned sub-surface agricultural drainage (tile drains) from satellite imagery|