Funding Cycle
- Overview
- Research Groups 4
- Datasets 8
- People 20
- Publications 0
- Information Products 0
Engaging Communities to Design Nature-based Solutions to Mitigate Climate-related Hazards
National Academies of Science, Engineering, Medicine: Gulf Research Program
To support partnerships between subject matter experts and local or tribal governments that engage diverse community stakeholders to adapt an existing or design a new project that incorporates one or more NBS that: mitigates one or more climate-related hazards (e.g., sea level rise, flooding, extreme heat, etc.) in an at-risk community that is disproportionately impacted by the selected hazard(s), has the potential to enhance human health and/or community resilience, and incorporates equity (e.g., in the planning and design process, by bringing diverse voices to the table, by enhancing the health of at-risk community members, etc.).
A Living Shoreline Design Approach Supporting the Pointe-au-Chien Indian Tribe’s Climate Adaptation Efforts
Engaging Communities to Design Nature-based Solutions to Mitigate Climate-related HazardsNational Academies of Science, Engineering, Medicine: Gulf Research Program
Cedar Key ShOREs (Shoreline Options for Resilience and Equity)
Engaging Communities to Design Nature-based Solutions to Mitigate Climate-related HazardsNational Academies of Science, Engineering, Medicine: Gulf Research Program
Visioning Session Committee Process
Identified On: May 13 2024 18:14 UTC
UDI: B1.x124.000:0001
Pointe-au-Chien area Living Shorelines Suitability Modeling (LSSM)
Identified On: Jun 05 2024 20:12 UTC
UDI: B1.x125.000:0001
Bathymetry survey data for Hillsborough River, Tampa, Florida, from 2022-09-09 to 2022-10-14
Published On: Jul 30 2024 03:30 UTC
File Format: txt
UDI: B1.x126.000:0001
File Size: 15.58 MB
Hillsborough River bathymetry survey and digital elevation model (DEM)
Published On: Jul 19 2024 20:23 UTC
File Format: xlsx
UDI: B1.x126.000:0002
File Size: 523.29 MB
One-on-one interview data
Identified On: Apr 01 2024 18:38 UTC
UDI: B1.x128.000:0001
Water level sensor data
Identified On: Apr 01 2024 18:39 UTC
UDI: B1.x128.000:0002