Nakad, M., Domec, J., Sevanto, S., Katul, G. (2022). Data from: Experiments on osmotically driven flow in idealized elastic membranes. Duke Research Data Repository. https://doi.org/10.7924/r45d8zp3s
Warnell, K., Olander, L., Currin, C. (2022). Data from: Blue carbon mapping for six mid-Atlantic states. Duke Research Data Repository. https://doi.org/10.7924/r4hq43669
Coastal habitats’ ability to store carbon and protect natural and human communities from hazards makes them valuable assets in state and community efforts to enhance coastal resilience and support climate mitigation. However, sea level rise poses a major threat to coastal habitats and the benefits they provide. The Nicholas Institute collaborated with six eastern seaboard states (North Carolina, Virginia, Maryland, Delaware, New Jersey, and New York) on a U.S. Climate Alliance-funded project to map coastal habitats' current coastal protection and carbon benefits, as well as how sea level rise may change the coastal zone habitats and their carbon balance over the next century.
Note: The state-level habitat and carbon projections in the "Blue carbon mapping for six mid-Atlantic states" dataset are updated versions of the projections in the "Coastal protection and blue carbon mapping for six mid-Atlantic states" dataset. Please use the more updated dataset for habitat and carbon information.... [Read More]
Tang, B., Kamakura, R., Barnett, D., Clark, J. (2022). Data and scripts from: Design and use of monitoring networks: Few-large versus many-small (FLvMS) and multi-scale analysis. Duke Research Data Repository. https://doi.org/10.7924/r43t9qf44
D'Alessio, D., Gray, S., Hoselton, A., Krishna, R., Slentz, C. (2022). Data from: GLP-1 receptor blockade reduces stimulated insulin secretion in fasted subjects with low circulating GLP-1. Duke Research Data Repository. V2 https://doi.org/10.7924/r41n87v9d
Warnell, K., Olander, L., Currin, C. (2022). Data and scripts from: Sea level rise drives carbon and habitat loss in the U.S. mid-Atlantic coastal zone. Duke Research Data Repository. https://doi.org/10.7924/r4cr5zc7v
Joardar, B. K., Bletsch, T.K., Chakrabarty, K. (2022). Data from: Machine learning-based rowhammer mitigation. Duke Research Data Repository. https://doi.org/10.7924/r4hh6p604
Wang, B., Aberra, A. S., Grill, W. M., Peterchev, A. V. (2022). Data from: Responses of model cortical neurons to temporal interference stimulation and other transcranial alternating current stimulation modalities. Duke Research Data Repository. https://doi.org/10.7924/r4n87d05r
