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. V4 https://doi.org/10.7924/r4zw1n02x
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. V5 https://doi.org/10.7924/r4cn7967g
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
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
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
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
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. https://doi.org/10.7924/r4s181m3h
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
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
Dohlman, A., Arguijo Mendoza, D., Ding, S., Gao, M., Dressman, H., Iliev, I., Lipkin, S., & Shen, X. (2020). Data from: The cancer microbiome atlas (TCMA): A pan-cancer comparative analysis to distinguish organ-associated microbiota from contaminants. Duke Research Data Repository. https://doi.org/10.7924/r4rn36833
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
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
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. https://doi.org/10.7924/r4ks6tf5q
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
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
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. & Morse, P. (2021). Data From: Memory formation in jammed hard spheres. Duke Research Data Repository. https://doi.org/10.7924/r41r6vf5t
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
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
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
Cassar, I. R., & Grill, W. M. (2021). Data from: The cortical evoked potential as a biomarker for deep brain stimulation efficacy. Duke Research Data Repository. https://doi.org/10.7924/r4r78d86s
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. V2 https://doi.org/10.7924/r4wm1cb55
Mooney, R., & Pearson, J. (2021). Data from: Neural dynamics underlying birdsong practice and performance. Duke Research Data Repository. https://doi.org/10.7924/r4cc1366g
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
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
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
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
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., 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
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
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
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
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
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
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
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
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. 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
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., 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
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
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., 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
Charbonneau, P., Li, Y. (C.), Pfister, H. D., & Yaida, S. (2017). Cycle-expansion method for the Lyapunov exponent, susceptibility, and higher moments. Duke Digital Repository. https://doi.org/10.7924/G88050N6
Berthier, L.; Charbonneau, P.; Flenner, E.; Zamponi, F. (2017). Data and scripts from: The origin of ultrastability in vapor-deposited glasses. Duke Digital Repository. https://doi.org/10.7924/G8P26W5G
Charbonneau, B., Charbonneau, P., Szamel, G. (2018). Data from: A microscopic model of the Stokes-Einstein Relation in arbitrary dimension. Duke Digital Repository. https://doi.org/10.7924/r4x061q6f
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. https://doi.org/10.7924/r4bz67v25
Crewmembers of the Dan Moore. (2021). Research vessel Dan Moore station logs, 1968-1981. Duke Research Data Repository. V2 https://doi.org/10.7924/r41j9fq8z
Crewmembers of the Dan Moore. (2021). Research vessel Dan Moore station logs, 1968-1981. Duke Research Data Repository. https://doi.org/10.7924/r4ft8mt51
Charbonneau, P. & Hu, Yi. (2021). Data and scripts accompanying comment on: "Kosterlitz-Thouless-type caging-uncaging transition in a quasi-one-dimensional hard disk system". Duke Research Data Repository. https://doi.org/10.7924/r4g16258z