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. (2020). Data from: Coastal protection and blue carbon mapping for six mid-Atlantic states. Duke Research Data Repository. https://doi.org/10.7924/r4pg1qw8p
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
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
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
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]
Chrisley, A., Ely, V., Gabbidon, A., Genser, C., Hogan, W., Jacobs, J., Krovitz, S., Oliver, I., Patel, D., Perez, M., Quinlan, M., Relaford, L., Rievman, J., & Watts, B. (2022). Youth activist oral histories, 2010-2021. Duke Research Data Repository. https://doi.org/10.7924/r49g5s86k
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
Charbonneau, P., Morse, P. K., Perkins, W., & Zamponi, F. (2021). Data from: Three simple scenarios for high-dimensional sphere packings. Duke Research Data Repository. https://doi.org/10.7924/r40z78x37
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
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
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
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
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
Ko, D., & Wang, L. (2022). Data from: An atlas of genetic variation linking pathogen-induced cellular traits to human disease. Duke Research Data Repository. https://doi.org/10.7924/r4v125f95
Murphy, S. K., King, D. E., & Hoyo, C. (2022). Data from: Sex-specific dna methylation and associations with in utero tobacco smoke exposure at nuclear-encoded mitochondrial genes. Duke Research Data Repository. https://doi.org/10.7924/r44b36p48
Ko, D., Gibbs, K., & Wang, L. (2022). Data from: Human variation impacting MCOLN2 restricts Salmonella Typhi replication by magnesium deprivation. Duke Research Data Repository. https://doi.org/10.7924/r4x92bd76
Chandra, R., Aryal, D. K., Douros, J. D., Shahid, R., Davis, S. J., Campbell, J. E., Illkayeya, O., White, P. J., Rodriguez, R., Newgard, C. B., Wetsel, W. C., Liddle, R. A. (2022). Data from: Ildr1 gene deletion protects against diet-induced obesity and hyperglycemia. Duke Research Data Repository. https://doi.org/10.7924/r4m61nk31
Jakubs, D. (2022). Data from: A Community of Interests: A Social History of the British in Buenos Aires, 1860-1914. Duke Research Data Repository. https://doi.org/10.7924/r4ns0wt0d
Charbonneau, P., Folena, G., Hu, Y., & Zamponi, F. (2022). Data and scripts from: Local dynamical heterogeneity in simple glass formers. Duke Research Data Repository. https://doi.org/10.7924/r4542tw29
Windle, A. E., Puckett, B., Huebert, K. B, Knorek, Z., Johnston, D. W., Ridge, J. T. (2022). Data from: Estimation of intertidal oyster reef density using spectral and structural characteristics derived from unoccupied aircraft systems and structure from motion photogrammetry. Duke Research Data Repository. https://doi.org/10.7924/r4223221q
Zhou, K., McNabb, R., Qian, R., Degan, S., Dhalla, A., Farsiu, S., & Izatt, J. (2022). Data from: Computational 3D microscopy with optical coherence refraction tomography. Duke Research Data Repository. https://doi.org/10.7924/r46h4pk10
Crewmembers of the Cape Hatteras. (2021). Research Vessel Cape Hatteras science logs, 1981-2013. Duke Research Data Repository. https://doi.org/10.7924/r48w3hk9t
Crewmembers of the Eastward. (2021). Research Vessel Eastward science logs, 1971 and 1975-1981. Duke Research Data Repository. https://doi.org/10.7924/r4dz09m64
Ko, D., Wang, L., & Schott, B. (2022). Data from: Single-cell genome-wide association reveals a nonsynonymous variant in ERAP1 confers increased susceptibility to influenza virus. Duke Research Data Repository. https://doi.org/10.7924/r4g163n0s
Valdez, S., R; Daleo, P., DeLaMater III, D. S., Silliman, B. R. (2022). Data from: Top-down and bottom-up control of Spartina alterniflora characteristics beyond standing biomass. Duke Research Data Repository. https://doi.org/10.7924/r41v5n80b
Charbonneau, P. & Morse, P. (2021). Data From: Memory formation in jammed hard spheres. Duke Research Data Repository. https://doi.org/10.7924/r41r6vf5t
Ciocanel, V. (2021). Data and scripts from: Actin reorganization throughout the cell cycle mediated by motor proteins. Duke Research Data Repository. https://doi.org/10.7924/r4zp43t43
Huang, O., Long, W., Bottenus, N., Trahey, G., Farsiu, S. Palmeri, M. L. (2019). UltraDuke Version 1. Duke Digital Repository. https://doi.org/10.7924/r49z94h1s
Larsen, G. D., Seymour, A. C., Richmond, E. L., Divine, L. M., Moreland, E. E., Newton, E., London, J. M., Johnston, D. W. (2022). Data from: Drones reveal spatial patterning of sympatric Alaskan pinniped species and drivers of their local distributions. Duke Research Data Repository. https://doi.org/10.7924/r4833xs44
Charbonneau, P., Kundu, J., Morse, P.K., Hu, Y. (2022). Data from: The dimensional evolution of structure and dynamics in hard sphere liquids. Duke Research Data Repository. https://doi.org/10.7924/r4p270q6x
Breen, K., Asturias, G., Pena, D. M., Springate, H., Alvarez, V., Madonna, M.C., Ramanujam, N. (2022). Data from: Students' knowledge, attitudes and awareness before and after a community-centered design STEM learning intervention. Duke Research Data Repository. https://doi.org/10.7924/r4wm1df10
Sakrikar, S., Schmid, A. (2022). Data from: Investigating the biological role and binding modes of histone-like proteins of halophilic archaea. Duke Research Data Repository. https://doi.org/10.7924/r4jd5093j
Jordans, M. J. D., Kohrt, B. A., Sangraula, M., Turner, E. L., Wang, X., Shrestha, P., Ghimire, R., Van‘t Hof, E., Bryant, R. A., Dawson, K., Marahatta, K., Luitel, N. P., & Van Ommeren, M. (2021). Data from: Effectiveness of Group Problem Management Plus a brief psychological intervention for adults affected by humanitarian disasters in Nepal: a cluster randomized controlled trial. Duke Research Data Repository. https://doi.org/10.7924/r4gh9jq3g.
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
Galezo, A. A., Nolas, M. A., Fogel, A. S., Mututua, R. S., Warutere, J. K., Siodi, I. L., Altmann, J., Tung, J., Archie, E. A., & Alberts, S. C. (2022). Data from: Mechanisms of inbreeding avoidance in a wild primate. Duke Research Data Repository. https://doi.org/10.7924/r4kd20t7c
Cassar, I. R., & Grill, W. M. (2022). Data from: The cortical evoked potential corresponds with deep brain stimulation efficacy in rats. Duke Research Data Repository. V2 https://doi.org/10.7924/r47s7t64c
Farrell, J., Natoli, M. J., Brown, G. J., Yook, A., & Lance, R. M. (2021). Data from: Testing of Full Face Snorkel Masks (FFSMs) to Examine Recreational Snorkeler Deaths. Duke Research Data Repository. https://doi.org/10.7924/r4h41tp1v
Feng, L. & Crute, C. E. (2021). Data from: RNA sequencing of rabbit placentas exposed to PFBS. Duke Research Data Repository. https://doi.org/10.7924/r43r0zt6t
Feng, L. & Crute, C. E. (2021). Data from: RNA sequencing of rabbit placentas exposed to a PFAS-mixture. Duke Research Data Repository. https://doi.org/10.7924/r4w66k88z
Kuhn, C. & Bernanke, A. (2021). Data from: Behavior and Fs activation reveal that male and female rats differentially assess affective valence during CTA learning and expression. Duke Research Data Repository. https://doi.org/10.7924/r44q80q5d
Hu, Y. & Charbonneau, P. (2021). Data and scripts from: Numerical transfer matrix study of frustrated next-nearest-neighbor Ising models on square lattices. Duke Research Data Repository. https://doi.org/10.7924/r4v40tw6p
Lerch, B. Abbott, K., Archie, E., & Alberts, S. (2021). Data from: Better baboon breakups: collective decision theory of complex social network fissions. Duke Research Data Repository. V3 https://doi.org/10.7924/r4cr5x93m
Mooney, R., & Pearson, J. (2021). Data from: Neural dynamics underlying birdsong practice and performance. Duke Research Data Repository. https://doi.org/10.7924/r4cc1366g
Zeng, S., Lange, E., Archie, E., Campos, F., Alberts, S., & Li, F. (2021). Data from: A causal mediation model for studying longitudinal animal behavior and survival outcomes. Duke Research Data Repository. https://doi.org/10.7924/r4td9ws23
