Lozier, M.S., F. Li, S. Bacon, F. Bahr, A.S. Bower, S.A. Cunningham, M.F. de Jong, L. de Steur, B. deYoung, J. Fischer, S.F. Gary, B.J.W. Greenan, N.P. Holliday, A. Houk, L. Houpert, M.E. Inall, W.E. Johns, C. Johnson, J. Karstensen, G. Koman, I.A. Le Bras, X. Lin, N. Mackay, M. Oltmanns, R.S. Pickart, A.L. Ramsey, D. Rayner, F. Straneo, D.J. Torres, I. Yashayaev, J. Zhao (2019). Meridional overturning circulation and the associated heat and freshwater transports observed by the OSNAP (Overturning in the Subpolar North Atlantic Program) Array from 2014 to 2016. Duke Digital Repository. https://doi.org/10.7924/r4z60gf0f
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
Wilson, J. W., Degan, S., Gainey, C. S., Mitropoulos, T., Simpson, M. J., Zhang, J. Y., & Warren, W. S. (2019). Data from: In vivo pump-probe and multiphoton fluorescence microscopy of melanoma and pigmented lesions in a mouse model. Duke Digital Repository. https://doi.org/10.7924/r4cc0zp95
Morse, P. K., Roy, S., Agoritsas, E., Stanifer, E., Corwin, E. I., & Manning, M. L. (2021). Data from: A direct link between active matter and sheared granular systems. Duke Research Data Repository. https://doi.org/10.7924/r4cv4kb23
Teti, Z., & Blumsack, S. (2021). RTOGov: regional transmission organization member voting data. Duke Research Data Repository. https://doi.org/10.7924/r40k2dx36
Hayes, M. C., Gray, P. C., Harris, G., Sedgwick, W. C., Crawford, V. D., Chazal, N., Crofts, S., & Johnston, D. W. (2020). Data from: Drones and deep learning produce accurate and efficient monitoring of large-scale seabird colonies. Duke Research Data Repository. https://doi.org/10.7924/r4dn45v9g
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
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
Gunsch, C. (2020). Data from: Evaluation of the mycobiome of ballast water and implications for fungal pathogen distribution. Duke Research Data Repository. https://doi.org/10.7924/r4t72cv5v
Charbonneau, P. & Morse, P. (2021). Data From: Memory formation in jammed hard spheres. Duke Research Data Repository. https://doi.org/10.7924/r41r6vf5t
Peña, E., Pelot, N. A., & Grill, W. M. (2021). Data from: Non-monotonic kilohertz frequency neural block thresholds arise from amplitude- and frequency-dependent charge imbalance. Duke Research Data Repository. https://doi.org/10.7924/r4pn94v5h
Michael, V., Goffinet, J. Pearson, J., Wang, F., Tschida, K., & Mooney, R. (2020). Data and scripts from: Circuit and synaptic organization of forebrain-to-midbrain pathways that promote and suppress vocalization. Duke Research Data Repository. https://doi.org/10.7924/r4cz38d99.
Taylor, I., Lehner, K., McCaskey, E., Nirmal, N., Ozkan-Aydin, Y., Murray-Cooper, M., Jain, R., Hawkes, E. W., Ronald, P. C., Goldman, D. I., & Benfey, P. N. (2020). Data and scripts from: Mechanism and function of root circumnutation. Duke Research Data Repository. https://doi.org/10.7924/r4b27x11m
Hale, L., Cheatham, L., Macintyre, A., LaFleur, B., Sanders, B., Troy, J., Kurtzberg, J., & Sempowski, G. (2021). Data and Code from: T Cell-Depleted Cultured Pediatric Thymus Tissue as a Model for Some Aspects of Human Age-Related Thymus Involution. Duke Research Data Repository. https://doi.org/10.7924/r47d2xg50
DeLaMater, D. S., Couture, J. J., Puzey, J. R., & Dalgleish, H. J. (2020). Data from: Range-wide variations in common milkweed traits and their effect on monarch larvae. Duke Research Data Repository. https://doi.org/10.7924/r4gb24j1x
Clark, J.S., Andrus, R., Aubry-Kientz, M., Bergeron, Y., Bogdziewicz, M., Bragg, D.C., Brockway, D., Cleavitt, N.L., Cohen, S., Courbaud, B., Daley, R., Das, A.J., Dietze, M., Fahey, T.J., Fer, I., Franklin, J.F., Gehring, C.A., Gilbert, G.S., Greenberg, C.H., ... Zlotin, R. (2020). Data from: Continent-wide tree fecundity driven by indirect climate effects. Duke Research Data Repository. https://doi.org/10.7924/r4348ph5t
Bird, C. N., Duprey, A. H., Dale, J., & Johnston, D. W. (2020). Data and scripts from: A semi-automated method for estimating Adelie penguin colony abundance from a fusion of multispectral and thermal imagery collected with Unoccupied Aircraft Systems. Duke Research Data Repository. https://doi.org/10.7924/r4cv4jq6j
Peña, E., Pelot, N. A., & Grill, W. M. (2020). Data from: Quantitative comparisons of block thresholds and onset responses for charge-balanced kilohertz frequency waveforms. Duke Research Data Repository. https://doi.org/10.7924/r4b27wq4m
Zhang, Y. (2020). Data from: Contributions of World Regions to the Global Tropospheric Ozone Burden Change from 1980 to 2010. Duke Research Data Repository. https://doi.org/10.7924/r40p13p11
Cardones, A. R., Hall, III, R. P., Sullivan, K., Hooten, J., Lee, S. Y., Liu, B. L., Green, C., Chao, N., Rowe Nichols, K., Bañez, L., Shah, A., Leung, N., & Palmeri, M. L. (2020). Data from: Quantifying skin stiffness in graft-versus-host disease, morphea and systemic sclerosis using acoustic radiation force impulse imaging and shear wave elastography. Duke Research Data Repository. https://doi.org/10.7924/r4h995b4q
DiGiacomo, A. E., Bird, C. N., Pan, V. G., Dobroski, K., Atkins-Davis, C., Johnston, D. W., Ridge, J. T. (2020). Data from: Modeling salt marsh vegetation height using Unoccupied Aircraft Systems and Structure from Motion. Duke Research Data Repository. https://doi.org/10.7924/r4w956k1q
Hall, III, R. P., Bhatia, S. M., Streilein, R. D. (2020). Data from: Correlation of IgG autoantibodies against acetylcholine receptors and desmogleins in patients with pemphigus treated with steroid sparing agents or rituximab. Duke Research Data Repository. https://doi.org/10.7924/r4rf5r157
Chavez, S. P., Silva, Y., & Barros, A. P. (2020). Data from: High-elevation monsoon precipitation processes in the Central Andes of Peru. Duke Research Data Repository. V2 https://doi.org/10.7924/r41n84j94
Lin, Y., Kouznetsova, T., Chang, C., & Craig, S. (2020). Data from: Enhanced polymer mechanical degradation through mechanochemically unveiled lactonization. Duke Research Data Repository. V2 https://doi.org/10.7924/r4fq9x365
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
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
Cummer, S. A. (2020). Data from: Indirectly measured ambient electric fields for lightning initiation in fast breakdown regions. Duke Digital Repository. https://doi.org/10.7924/r4g44p43t
Zhang, Y., Wang, Z., Kouznetsova, T., Sha, Y., Xu, E., Shannahan, L., Fermen-Coker, M., Lin., Y. (2020). Data from: Distal conformational locks on ferrocene mechanophores guide reaction pathways for increased mechanochemical reactivity. V3 Duke Research Data Repository. https://doi.org/10.7924/r4gq6z428
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
Altan, I., James, S., Khan, A., Quinn, M., Charbonneau, P., & McManus, J. (2019). Data and scripts from: Using Schematic Models to Understand the Microscopic Basis for Inverted Solubility in gammaD-crystallin. Duke Digital Repository. https://doi.org/10.7924/r4fq9v942
Eghdami, M., & Barros, A. (2019). Namelists and scripts from: Vertical Dependence of Horizontal Scaling Behavior of Orographic Wind and Moisture Fields in Atmospheric Models. Duke Digital Repository. https://doi.org/10.7924/r4154jq8h
Keating, S., Rountree, W., Grebe, E., Pappas, A. L., Stone, M., Hampton, D.,...Busch, M. P. (2019). Data from: Development of an international external quality assurance program for HIV-1 incidence using the Limiting Antigen Avidity assay. Duke Digital Repository. https://doi.org/10.7924/r4ff3r13q
Op 't Eynde, J., Yu, A., Eckersley, C., & Bass, C. (2019). Data from: Primary blast wave protection in combat helmet design: a historical comparison between present data and World War I. Duke Digital Repository. https://doi.org/10.7924/r4r49m981
Khan, A., James, S., Quinn, M., Altan, I., Charbonneau, P., & McManus, J. (2019). Data and scripts from: temperature-dependent interactions explain normal and inverted solubility in a γD-crystallin mutant. Duke Digital Repository. https://doi.org/10.7924/r49w0dx6s
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
Crewmembers of the Eastward. (2021). Research Vessel Eastward science logs, 1971 and 1975-1981. Duke Research Data Repository. https://doi.org/10.7924/r4dz09m64
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
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
Barth, B., Grill, W., Spencer, N., & Travis, L. (2020). Data from: The control of colonic motility using electrical stimulation to modulate enteric neural circuitry. Duke Research Data Repository. https://doi.org/10.7924/r4bk1dq8n
Zipple, M., Altmann, J., Campos, F., Cords, M., Lawler, R., Londsdorf, E., Perry, S., Pusey, A., Stoinski, T. Strier, K., Alberts, S. (2020). Data from: Beyond orphaned infants: novel effects of maternal death in wild primates. Duke Research Data Repository. https://doi.org/10.7924/r44f1tk8k
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.
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 Equiprevalent. Duke Research Data Repository. https://doi.org/10.7924/r4rn36833
Getzinger, G. J., Higgins, C. P., & Ferguson, P. L. (2021). Data and scripts from: A structure database and in silico spectral library for comprehensive suspect screening of per- and polyfluoroalkyl substances (PFASs) in environmental media by high-resolution mass spectrometry. Duke Research Data Repository. V2 https://doi.org/10.7924/r4q23zg65
The Integrated Precipitation and Hydrology EXperiment (IPHEX) seeks to characterize warm season orographic precipitation regimes, and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. IPHEX includes two major activities:
1. The development, evaluation and improvement of remote-sensing precipitation algorithms in support of the Global Precipitation Measurement Mission (GPM) through a NASA GPM ground validation field campaign: IPHEX-GVFC (https://iphex.pratt.duke.edu/node/64)
2. The evaluation of Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting and water resource applications in the Upper Tennessee, Catawba-Santee, Yadkin-Pee Dee and Savannah river basins: IPHEX- HAP (H4SE) (https://iphex.pratt.duke.edu/node/65). NOAA HMT has synergy with this project.
How can an amorphous material be rigid? Glass – the prototypical and ubiquitous amorphous solid – inhabits an incredibly ramified and complex energy landscape, which presumably underlies its rigidity. But how? Dealing with so many relevant energy minima and the ensuing far-from-equilibrium dynamics has emerged as one of the central problems in statistical physics. Tackling it requires new tools and concepts. The Simons Collaboration on Cracking the Glass Problem, addressing such fundamental issues as disorder, nonlinear response and far-from-equilibrium dynamics, builds upon three powerful approaches: the study of marginal stability at jamming, the mean-field theory of glasses in infinite dimension, and the dynamics of systems in complex landscapes. The convergence of recent breakthroughs in these areas generates a unique opportunity to come to grips with these three outstanding and intimately related challenges. This collection of datasets is associated with publications from the Charbonneau group and their collaborators as part of the Simons collaboration.
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]
Murphy, S. K., Berchuk, A., Whitaker, R., Sfakianos, G., & Huang, Z. (2021). Primary and recurrent (second-look surgery) serous epithelial ovarian cancers Illumina Infinium HumanMethylation450 BeadChip data. Duke Research Data Repository. https://doi.org/10.7924/r4765hq57
Murphy, S., Berchuck, A., Whitaker, R., Sfakianos, G. & Huang, Z. (2021). Gene Expression using Affymetrix Human Genome U133 Plus 2 Arrays from 16 Primary and Recurrent Serous Epithelial Ovarian Cancers. Duke Research Data Repository. https://doi.org/10.7924/r43f4sx2k
Murphy, S. K., Itchon-Ramos, N., Visco, Z., Huang, Z., Grenier, C., Schrott, R., Acharya, K., Boudreau, M.-H., Price, T. M., Raburn, D. J., Corcoran, D. L., Lucas, J. E., Mitchell, J. T., McClernon, J., Cauley, M., Hall, B. J., Levin, E. D., & Kollins, S. H. (2020). Data from: Cannabinoid exposure and altered DNA methylation in rat and human sperm. Duke Research Data Repository. https://doi.org/10.7924/r4v122j79
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
