Berthier, L., Charbonneau, P., Coslovich, D., Ninarello, A., Ozawa, M., Yaida, S. (2017). Data and scripts from: Configurational entropy measurements in extremely supercooled liquids that break the glass ceiling. Duke Digital Repository. https://doi.org/10.7924/G8ZG6Q9T
Yaida, S., Berthier, L., Charbonneau, P., Tarjus, G. (2016). Data and scripts from: Point-to-set lengths, local structure, and glassiness. Duke Digital Repository. https://doi.org/doi:10.7924/G8BG2KWP
Berthier, L., Charbonneau, P., Jin, Y., Parisi, G., Seoane, B., Zamponi, F. (2016). Data and scripts from: Growing timescales and lengthscales characterizing vibrations of amorphous solids. Duke Digital Repository. https://doi.org/doi:10.7924/G8QN64NT
Charbonneau, P., Dyer, E., Lee, J., Yaida, S. (2016). Data and scripts from: Linking dynamical heterogeneity to static amorphous order. Duke Digital Repository. https://doi.org/doi:10.7924/G8VD6WC5
Charbonneau, P., Corwin, E. I., Parisi, G., Poncet, A., Zamponi, F. (2018). Data and scripts from: Universal non-Debye scaling in the density of states of amorphous solids. Duke Digital Repository. V2 https://doi.org/10.7924/r4j67dg2z
Charbonneau, P. and Yaida, S. (2018). Data and scripts from: Nontrivial critical fixed point for replica-symmetry-breaking transitions. Duke Digital Repository. V2 https://doi.org/10.7924/r4cf9ns11
Birolo, G., Charbonneau, P., & Hu, Y. (2019). Data and scripts from: Dynamics around the Site Percolation Threshold on High-Dimensional Hypercubic Lattices. Duke Digital Repository. https://doi.org/10.7924/r4571cf37
Charbonneau, P., Corwin, E. I., Fu, L., Tsekenis, G., & van der Naald, M. (2019). Data and scripts from: Glassy, Gardner-like phenomenology in minimally polydisperse crystalline systems. Duke Digital Repository. https://doi.org/10.7924/r4k93500n
Charbonneau, P., Hu, Y., Raju, A., Sethna, J., & Yaida, S. (2019). Data and scripts from: Morphology of renormalization-group flow for the de Almeida–Thouless–Gardner universality class. Duke Digital Repository. https://doi.org/10.7924/r4zc7wm7d
Berthier, L., Charbonneau, P., Kundu, J. (2019). Data and scripts from: Bypassing sluggishness: SWAP algorithm and glassiness in high dimensions. Duke Digital Repository. https://doi.org/10.7924/r49w0dr6j
Berthier, L., Charbonneau, P., Ninarello, A., Ozawa, M., & Yaida, S. (2019). Data and scripts from: Zero-temperature glass transition in two dimensions. Duke Digital Repository. https://doi.org/10.7924/r46w9b248
Flenner, E., Berthier, L., Charbonneau, P., & Fullerton, C. (2019). Data from: Front-mediated melting of isotropic ultrastable glasses. Duke Digital Repository. https://doi.org/10.7924/r4542pd2c
Kundu, J., & Charbonneau, P. (2020). Data From: Postponing the dynamical transition density using competing interactions. Duke Research Data Repository. https://doi.org/10.7924/r4xd0wb95
Berthier, L., Charbonneau, P., & Kundu, J. (2020). Data from: Finite-dimensional vestige of spinodal criticality above the dynamical glass transition. Duke Research Data Repository. https://doi.org/10.7924/r4jh3m094
Biroli, G., Charbonneau, P., Corwin, E. I., Hu, Y., Ikeda, H., Szamel, G., & Zamponi, F. (2021). Data and Scripts from: Interplay between percolation and glassiness in the random Lorentz gas. Duke Research Data Repository. https://doi.org/10.7924/r4qz29054
Charbonneau, P. & Hu, Y. (2021). Data and scripts from: Resolving the two-dimensional ANNNI model using transfer matrices. Duke Research Data Repository. https://doi.org/10.7924/r4k074j0t
Biroli, G., Charbonneau, P., Hu, Y., Ikeda, H., Szamel, G., & Zamponi, F. (2021). Data from: Mean-field caging in a random Lorentz gas. Duke Research Data Repository. https://doi.org/10.7924/r4sb44m3b
Hu, Y., & Charbonneau, P. (2021). Data and scripts from: Percolation thresholds on high-dimensional D_n and E_8-related lattices. Duke Research Data Repository. https://doi.org/10.7924/r4fx7bk95
Charbonneau, P., Corwin, E. I., Dennis, R. C., Díaz Hernández Rojas, R., Ikeda, H., Parisi, G., & Ricci-Tersenghi, F. (2021). Data and scripts from: Finite size effects in the microscopic critical properties of jammed configurations: a comprehensive study of the effects of different types of disorder. Duke Research Data Repository. https://doi.org/10.7924/r4833vm1m
Charbonneau, B., Charbonneau, P., Hu, Y., & Yang, Z. (2021). Data and scripts from: High-dimensional percolation criticality and hints of mean-field-like caging of the random Lorentz gas. Duke Research Data Repository. https://doi.org/10.7924/r4s46r07b
Mooney, R., & Pearson, J. (2021). Data from: Neural dynamics underlying birdsong practice and performance. Duke Research Data Repository. https://doi.org/10.7924/r4cc1366g
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
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
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
Charbonneau, P. & Morse, P. (2021). Data From: Memory formation in jammed hard spheres. Duke Research Data Repository. https://doi.org/10.7924/r41r6vf5t
Crewmembers of the Cape Hatteras. (2021). Research Vessel Cape Hatteras science logs, 1981-2013. Duke Research Data Repository. https://doi.org/10.7924/r48w3hk9t
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
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
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
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
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
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
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]
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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