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
Ben-Tov, M., Duarte, F. & Mooney, R. (2023). Data and code from: A neural hub for holistic courtship displays. Duke Research Data Repository. https://doi.org/10.7924/r4hd80x9b
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
Carlson, D., Kumar, S., & Dzirasa, K. (2023). Multi-region local field potential recordings during a tail-suspension test. Duke Research Data Repository. https://doi.org/10.7924/r4q52sj36
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
Olander, L., Shepard, C., Tallis, H., & Yoskowitz, D. (2021). Data from: Gulf of Mexico Ecosystem Service Logic Models & Socio-Economic Indicators (GEMS). Duke Research Data Repository. V2 https://doi.org/10.7924/r45b0962f
Taylor, I., Mijar, A. & Benfey, P. (2023). Data from: The rhizodynamics robot: Automated imaging system for studying long-term dynamic root growth. Duke Research Data Repository. https://doi.org/10.7924/r4ng4t965
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
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
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
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.
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
Paley, C. T., 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
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
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
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.
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
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
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
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
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
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
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
Ikegami, K., de March, C. A., Nagai, M. H., Ghosh, S., Do, M., Sharma, R., ... Matsunami, H. (2019). Data from: Structural instability and divergence from conserved residues underlie intracellular retention of mammalian odorant receptors. Duke Digital Repository. https://doi.org/10.7924/r40867k2k
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
OSNAP is an international program designed to provide a continuous record of the full-water column, trans-basin fluxes of heat, mass and freshwater in the subpolar North Atlantic. The OSNAP observing system consists of two legs: one extending from southern Labrador to the southwestern tip of Greenland across the mouth of the Labrador Sea (OSNAP West), and the second from the southeastern tip of Greenland to Scotland (OSNAP East).
The observing system also includes subsurface floats (OSNAP Floats) in order to trace the pathways of overflow waters in the basin and to assess the connectivity of currents crossing the OSNAP line.
OSNAP is a partner in the North Atlantic Virtual Institute (NAVIS), which connects science teams around the world studying climate variability and change in the North Atlantic. http://navinstitute.org/... [Read More]
Mitra, S., Zhong, J., MacAlpine, D., Hartemink, A., MacAlpine, H. (2020). Data from: RoboCOP: Multivariate state space model integrating epigenomic accessibility data to elucidate genome-wide chromatin occupancy. Duke Research Data Repository. https://doi.org/10.7924/r4hx1b43s
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
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
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
Campos, F., Altmann, J., Cords, M., Fedigan, L., Lawler, R., Lonsdorf, E., Stoinski, T., Strier, K., Bronikowski, A., Pusey, A., & Alberts, S. (2021). Data from: Female reproductive aging in seven primate species: patterns and consequences. Duke Research Data Repository. https://doi.org/10.7924/r4pn9600q
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
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
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
Nieman, C. M., Rudman, A. N., Chory, M. L., Murray, G., Fairbanks, L., & Campbell, L. M. (2021). Data from: Fishing for food: values and benefits associated with coastal infrastructure. Duke Research Data Repository. https://doi.org/10.7924/r4057m91d
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.
Huang, A. (2020). Data from: Lightning Initiation from Fast Negative Breakdown is Led by Positive Polarity Dominated Streamers. Duke Research Data Repository. https://doi.org/10.7924/r44m97j8v
Campbell, L. M., Gray, N., & Gruby, R. (2020). Data from: Q-Sort Concourse and Data for the Human Dimensions of Large MPAs project. Duke Research Data Repository. https://doi.org/10.7924/r4j38sg3b
Kochvar, K., Peters, S., Zipple, M. & Nowicki, S. (2021). Data from: Maturational changes in song sparrow song. Duke Research Data Repository. https://doi.org/10.7924/r47w6gq34
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
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
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
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
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
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. (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