Ridge, J. T., DiGiacomo, A. E., Rodriguez, A. B., Himmelstein, J. D., Johnston, D. W. (2022). Data from: Comparison of 3D structural metrics on oyster reefs using unoccupied aircraft photogrammetry and terrestrial LiDAR across a tidal elevation gradient. Duke Research Data Repository. https://doi.org/10.7924/r41j9jn7t
Wang, B., Zhang, J., Li, Z., Grill, W. M., Peterchev, A. V., & Goetz, S. M. (2022). Data from: Optimized Monophasic Pulses with Equivalent Electric Field for Rapid-Rate Transcranial Magnetic Stimulation. Duke Research Data Repository. https://doi.org/10.7924/r4wd41f7d
DiGiacomo, A. E., Giannelli, R., Smith, E., Ridge, J. T., & Davis, J. (2022). Data from: UAS-based monitoring of coastal wetlands: Considerations and tradeoffs. Duke Research Data Repository. https://doi.org/10.7924/r4sb46t2c
Thomson, E., Harfouche, M., Konda, P., Seitz, C., Kim, K., Cooke, C., Xu, S., Blazing, R., Chen, Y., Jacobs, W., Park, J., Dunn, T., Sharma, S., Horstmeyer, R., Naumann, E. (2022). Data from: Gigapixel behavioral and neural activity imaging with a novel multi-camera array microscope. Duke Research Data Repository. https://doi.org/10.7924/r4nv9kp8v
Hayes, M., Puckett, B., Deaton, C. & Ridge, J. (2021). Data from: estimating dredge-induced turbidity using drone imagery. Duke Research Data Repository. https://doi.org/10.7924/r49z9756z
Bird, C. N., Duprey, A. H., Dale, J., & Johnston, D. W. (2020). Data and scripts from: A semi-automated method for estimating Adelie penguin colony abundance from a fusion of multispectral and thermal imagery collected with Unoccupied Aircraft Systems. Duke Research Data Repository. https://doi.org/10.7924/r4cv4jq6j
Lin, Y., Kouznetsova, T., Chang, C., & Craig, S. (2020). Data from: Enhanced polymer mechanical degradation through mechanochemically unveiled lactonization. Duke Research Data Repository. V2 https://doi.org/10.7924/r4fq9x365
DiGiacomo, A. E., Bird, C. N., Pan, V. G., Dobroski, K., Atkins-Davis, C., Johnston, D. W., Ridge, J. T. (2020). Data from: Modeling salt marsh vegetation height using Unoccupied Aircraft Systems and Structure from Motion. Duke Research Data Repository. https://doi.org/10.7924/r4w956k1q
Lin, Y., Kouznetsova, T., Chang, C., Craig, S. (2020). Data from: Enhanced polymer mechanical degradation through mechanochemically unveiled lactonization. Duke Research Data Repository. https://doi.org/10.7924/r49s1r065
Warnell, K., & Olander, L. (2020). Data from: Opportunity assessment for carbon and resilience benefits on natural and working lands in North. Carolina. Duke Research Data Repository. https://doi.org/10.7924/r4ww7cd91
Ridge, J. T., Gray, P. C., Windle, A. E., & Johnston, D. W. (2020), Deep learning for coastal resource conservation: automating detection of shellfish reefs. Remote Sens Ecol Conserv. doi:10.1002/rse2.134
Duke University Libraries' Multispectral Imaging Team. (2019). [Acts of the Apostles]. (multispectral file stack). Duke Digital Repository. https://doi.org/10.7924/r4c53jx21
Schaffer-Smith, D., Swenson, J. J. (2018). Data and scripts from: Migratory shorebird response to non-tidal wetland dynamics at an internationally important inland Pacific Flyway stopover. Duke Digital Repository. https://doi.org/10.7924/r47w6b882
Lam, C. T., Krieger, M. S., Gallagher, J. E., Asma, B., Schmitt, J. W, & Ramanujam, N. (2015). Data from: Design of a novel low cost point of care tampon (POCkeT) colposcope for use in resource limited settings. Duke Digital Repository. http://hdl.handle.net/10161/10056
