Zhou, K., Harfouche, M., Cooke, C. L., Park, J., Konda, P. C., Kreiss, L., Doman, J., Reamey, P., Saliu, V., Cook, C., Zheng, M., Bechtel, J. P., McCarroll, M., Bagwell, J., Horstmeyer, G., Bagnat, M. & Horstmeyer, R. (2023). Data from: Parallelized computational 3D video microscopy of freely moving organisms at multiple gigapixels per second. Duke Research Data Repository. https://doi.org/10.7924/r4db86b1q
Barth, B. B., Redington, E. R., Gautam, N., Pelot, N. A., Grill, W. M. (2023). Data from: Calcium image analysis in the moving gut (CIAMG). Duke Research Data Repository. https://doi.org/10.7924/r4js9v06m
Hou, S., Zhang, C., Niver, A. & Welsher, K. (2022). Data from: Mapping nanoscale forces and potentials in live cells with microsecond 3D single-particle tracking. Duke Research Data Repository. https://doi.org/10.7924/r4dv1q87f
Wang, L., Zheng, X., Kouznetsova, T. B. , Yen, T., Ouchi, T., Brown, C. L., Craig, S. L. (2022). Data from: Mechanochemistry of cubane. Duke Research Data Repository. https://doi.org/10.7924/r47h1r86c
Levy, E. J., Lee, A., Siodi, I. L., Helmich, E. C., McLean, E. M., Malone, E. J., Pickard, M. J., Ranjithkumar, R. Tung, J., Archie, E. A., Alberts, S. C.(2022). Data from: Early life drought predicts components of adult body size in wild female baboons. Duke Research Data Repository. https://doi.org/10.7924/r43r11g2m
Brudner, S., Pearson, J., Mooney, R. (2022). Data from: Juvenile zebra finch syllables for data-driven analysis of development. Duke Research Data Repository. https://doi.org/10.7924/r4j38x43h
Clark, D. P. and Badea, C. T. (2022). Supplemental data archive for the Multi-Channel CT Reconstruction (MCR) Toolkit. Duke Research Data Repository. https://doi.org/10.7924/r45m6cs1f
Fu, D., Pradeep Narayanan, R., Prasad, A., Zhang, F., Williams, D., Schreck, J., Yan, H. & Reif, J. (2022). Data from: Automated design of 3D DNA origami with non-rasterized 2D curvature. Duke Research Data Repository. https://doi.org/10.7924/r4d223179
Li, T., Severson, K. S., Wang, F., Dunn, T. W. (2022). Data from: Improved 3D markerless mouse pose estimation using temporal semi-supervision. Duke Research Data Repository. https://doi.org/10.7924/r4hq43h4c
Struhsaker, T. T., Leland, L. (2022). Photographs from: Fire prevention and natural reforestation of grasslands in the Ngogo area of Kibale National Park, Uganda (1976-2018). Duke Research Data Repository. https://doi.org/10.7924/r40p1770c
Larsen, G. D. , Falvo, C., Tuohy, C., Goerke, M., Friedlaender, A. S., Nichols, R. C., Pallin, L., Simms, A., Groff, D., Ciminio, M., Johnston, D. W. (2022). Aerial data from drone surveys of coastal habitats on the West Antarctic Peninsula during austral summer (January–March 2020 and February–March 2019). Duke Research Data Repository. https://doi.org/10.7924/r4sf2xs2w
Neacsiu, A., LaBar, K., Rosenthal, M. Z., Bukhari-Parlakturk, N., Kelley, L. (2022). Identifying the optimal neural target for misophonia interventions. Duke Research Data Repository. https://doi.org/10.7924/r4ww7jg4k
Trutna Paley, C., Knight, A. E., Jin, F. Q., Moavenzadeh, S. R., Pietrosimone, L. S., Hobson-Webb, L. D., Rouze, N. C., Palmeri, M. L., Nightingale, K. R. (2022). Data from: Repeatability of rotational 3D shear wave elasticity imaging measurements in skeletal muscle. Duke Research Data Repository. https://doi.org/10.7924/r49w0mg11
Flynn, M. S., Robinson, C., Patel, S., Liu, B., Green, C., Pavlis, M. (2022). Data from: Clinicopathologic characteristics of melanoma in Parkinson's disease patients. Duke Research Data Repository. https://doi.org/10.7924/r4f47t77k
Zheng, M., Tarzia, M., Charbonneau, P. (2022). Data and scripts from: Weakening the critical dynamical slowing down of models with SALR interactions. Duke Research Data Repository. https://doi.org/10.7924/r4vh5q02j
Canick, J., Petrucci, B., Patterson, R., Saunders, J., Htoo Thaw, M., Omosule, I., Denton, A., Jue Xu, M., Chadha, S., Young, G., Siafa, L., Mortel, O., Shamshad, A., Reddy, A., McCalla, M., Prasad, K., Yang, H. H., Pan, D. R., Shah, J., Smith, E., Alkire, B., Ibekwe, T., & Waterworth, C. (2022). Data from: Ear and hearing care in national Health policies, strategies, and plans. Duke Research Data Repository. https://doi.org/10.7924/r4jw8j211.
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
Hagey, J. M., Oketch, S. Y., Weber, J. M., Pieper, C. F., Huchko, M. J. (2022). Data from: Clinical knowledge among health care providers of essential maternal and child health services in Kenya: A cross-sectional survey. Duke Research Data Repository. https://doi.org/10.7924/r47m0fd7k.
Yang, Y. (2022). Data from: The role of weapon-involved violence, physical violence, and sexual violence in suicide risk behaviors among adolescents. Duke Research Data Repository. https://doi.org/10.7924/r44t6rh4m.
Richardson, C.J., Flanagan, N.E., Wang, H., & Ho, M. (2022). Data from: Assessment of soil carbon sequestration or losses from drained short pocosins located in Hyde County, NC, during the years 2020 and 2021. Duke Research Data Repository. https://doi.org/10.7924/r46w9hp7v.
Johnson, C., Exell, J., Lin, Y., Aguilar, J., Welsher, K. D. (2022). Data from: Capturing the start point of the virus-cell interaction with high-speed 3D single-particle tracking. Duke Research Data Repository. https://doi.org/10.7924/r4bp07h15.
Struhsaker, T. T. (2022). Digitized tape recordings of Red colobus and other African forest monkey species vocalizations. Duke Research Data Repository. https://doi.org/10.7924/r4pv6nm9f
Langdale, C. L., Hokanson, J. A., Sridhar, A., Grill, W. M. (2022). Data from: Stimulation of the pelvic nerve increases bladder capacity in the Prostaglandin E2 rat model of overactive bladder. Duke Research Data Repository. https://doi.org/10.7924/r4gb27w9h
Dohlman, A., Arguijo Mendoza, D., Ding, S., Gao, M., Dressman, H., Iliyan, D., Lipkin, S., & Shen, X. (2022). Data from: The cancer microbiome atlas (TCMA): A pan-cancer comparative analysis to distinguish organ-associated microbiota from equiprevalent contaminants. Duke Research Data Repository. V2 https://doi.org/10.7924/r4bk1j35s
Folena, G., Biroli, G., Charbonneau, P., Hu, Y., Zamponi, F. (2022). Data from: Equilibrium fluctuations in mean-field disordered models. Duke Research Data Repository. https://doi.org/10.7924/r42f7w487
Mahler, A., Williams, J.Z., Su, N.Q., Yang, W. (2022): Data and scripts from: Localized orbital scaling correction for periodic systems. Duke Research Data Repository. https://doi.org/10.7924/r4s75hv98
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
Ciocanel, M. V. & McKinley, S. (2022). Data from: Statistical significance for maximally persistent topological features via the Gumbel distribution. Duke Research Data Repository. https://doi.org/10.7924/r48k7ft9j
Young, A., van den Boom, W., Schroeder, R., Krishnamoorthy, V., Raghunathan, K., Wu, H., Dunson, D. (2002). Data from: Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data. Duke Research Data Repository. https://doi.org/10.7924/r45q52g2t
