Charbonneau, P., Corwin, E., Parisi, G., Poncet, A., Zamponi, F. (2016). Data and scripts from: Universal non-Debye scaling in the density of states of amorphous solids. https://doi.org/doi:10.7924/G8KW5CX3
Zhuang, Y. and Charbonneau, P. (2016). Data and scripts from: Equilibrium phase behavior of the square-well linear microphase-forming model. Duke Digital Repository. https://doi.org/doi:10.7924/G8057CVF
Duke University Libraries' Multispectral Imaging Team. (2019). [Acts of the Apostles]. (multispectral file stack). Duke Digital Repository. https://doi.org/10.7924/r4c53jx21
Hu, Y., Charbonneau, P. (2018). Data and Scripts from: Clustering and assembly dynamics of a one-dimensional microphase former. Duke Digital Repository. https://doi.org/10.7924/r41n81s8j
Bass, C. R.; Yu, A. W., Capehart, B. P. (2017). 16s rRNA microarray analysis of murine blood and brain tissue. Duke Digital Repository. https://doi.org/10.7924/G8B56GNQ
Hu, Y., Fu, L., Charbonneau, P. (2018). Data, generating scripts and figures from: Correlation lengths in quasi-one-dimensional systems via transfer matrices. Duke Digital Repository. https://doi.org/10.7924/r4mk68m43
Frees, A. (2014). Image data from: Delivery-corrected imaging of fluorescently-labeled glucose reveals distinct metabolic phenotypes in murine breast cancers. Duke Digital Repository. http://hdl.handle.net/10161/9276
Foukal, N. (2018). Data from: Examining the origins of heat content variability in the eastern North Atlantic subpolar gyre. Duke Digital Repository. https://doi.org/10.7924/r4zw1d509
Lingold, Mary Caton; Mueller, Darren; Trettien, Whitney. (2017). Provoke!: Digital Sound Studies. Duke Digital Repository. https://doi.org/10.7924/G8H12ZXR
Büthe, T., Bradford, A. (2018). Law and politics of antitrust in open economies - PTA Data: Antitrust/competition provisions in a sample of 182 preferential trade agreements, 1945-2010. Duke Digital Repository. https://doi.org/10.7924/r4h70c24h
Lyu, F., Cummer, S. A., Krehbiel, P. R., Rison, W., Briggs, M. S., Cramer, E., Roberts, O., Stanbro, M. (2018). Data from: Very high frequency radio emissions associated with the production of terrestrial gamma-ray flashes. Duke Digital Repository. https://doi.org/10.7924/r4r49kc2m
Lyu, F. (2018). Data from: Energetic radio emissions and possible terrestrial gamma-ray flashes associated with downward propagating negative leaders. Duke Digital Repository. https://doi.org/10.7924/r4j963v4s
Pham, A. T., Zhuang, Y., Detwiler, P., Socolar, J.E.S., Charbonneau, P., Yellen, B. (2017). Data and scripts from: Phase diagram and aggregation dynamics of a monolayer of paramagnetic colloids. Duke Digital Repository. https://doi.org/doi:10.7924/G86H4FBQ
Asiedu, M. N.; Agudogo, J.; Krieger, M.; Miros, R.; Proeschold-Bell, R. J.; Schmitt, J. W.; Ramanujam, N. (2017). Design and preliminary analysis of a vaginal inserter for speculum-free cervical cancer screening. Duke Digital Repository. https://doi.org/10.7924/G8X34VDZ
Tao, J., & Barros, A. P. (2014). The Integrated Precipitation and Hydrology Experiment - Hydrologic Applications for the Southeast US (IPHEx-H4SE) Part IV: Soil Hydraulic Parameters. Duke Digital Repository. http://hdl.handle.net/10161/8959
Zhuang, Y. and Charbonneau, P. (2017). Data and scripts from: Microphase equilibrium and assembly dynamics. Duke Digital Repository. https://doi.org/10.7924/G8JH3J7B
Johns, W. and Houk, A. (2018). Microcat, current meter and ADCP data from the eastern mid-Atlantic ridge mooring array as part of OSNAP (Overturning in the Subpolar North Atlantic Program). Duke Digital Repository. https://doi.org/10.7924/r42n52w51
Straneo, F.; Ramsey, A.; Bahr, F.; Torres, D. (2018). Microcat, current meter and ADCP data from the Cape Farewell mooring array southeast of Greenland as part of OSNAP (Overturning in the Subpolar North Atlantic Program). Duke Digital Repository. https://doi.org/10.7924/r4fb50z9b
Pickart, R. (2018). Microcat, Aquadopp, ADCP, and Tidbit data from the 2014-2016 Labrador Sea eastern boundary mooring array as part of OSNAP (Overturning in the Subpolar North Atlantic Program). Duke Digital Repository. https://doi.org/10.7924/r4fj2dr7k
Eckersley, C., White, T., Cutcliffe, H., Shridharani, J., Wood, G., Bass, C. (2017). Foul tip impact attenuation of baseball catcher masks using head impact metrics. Duke Digital Repository. https://doi.org/10.7924/G81N7Z29.
Charbonneau, P., Altan, I., Fusco, D., Afonine, P.V. (2018). Data and scripts from: Learning about biomolecular solvation from water in protein crystals. Duke Digital Repository. https://doi:10.7924/r4bg2mc23
Miguel, N., & Barros, A. P. (2014). The Integrated Precipitation and Hydrology Experiment - Hydrologic Applications for the Southeast US (IPHEx-H4SE). Part III: High-Resolution Ensemble Rainfall Products. Duke Digital Repository. http://hdl.handle.net/10161/8969
Dulmage, Keely A., Darnell, Cynthia L., Vreugdenhil, A., Schmid, Amy K. (2018). Data and scripts from: Copy number variation is associated with gene expression change in archaea. Duke Digital Repository. https://doi.org/doi:10.7924/r4pz54w7h
Tao, J., & Barros, A. P. (2014). The Integrated Precipitation and Hydrology Experiment. Part I: Quality High-Resolution Landscape Attributes Datasets. Duke Digital Repository. http://hdl.handle.net/10161/8968
Tao, J., & Barros, A. P. (2014). The Integrated Precipitation and Hydrology Experiment – Hydrologic Applications for the Southeast US (IPHEx-H4SE). Part II: Atmospheric Forcing and Topographic Corrections. Duke Digital Repository. http://hdl.handle.net/10161/8958
Zhuang, Y. and Charbonneau, P. (2018). Data and scripts from: Equilibrium phase behavior of the square-well linear microphase-forming model. Duke Digital Repository. V2 https://doi.org/10.7924/r42z16837
Palmeri, M. L., Qiang, B., Chen, S., Urban, M. W. (2018). QIBA Ultrasound Shear Wave Speed Digital Phantoms. Duke Digital Repository. https://doi.org/10.7924/r4sj1f98c
Sweitzer, M. M., Watson, K. K., Erwin, S. R., Winecoff, A. A., Datta, N., Huettel, S., ... Zucker, N. L. (2018). Data from: Neurobiology of social reward valuation in adults with a history of anorexia nervosa. Duke Digital Repository. https://doi.org/10.7924/r45t3km1m
Pickart, R. (2018). Conductivity-Temperature-Depth (CTD) data as part of the OSNAP (Overturning in the Subpolar North Atlantic Program), from 2014 on the R/V Knorr (KN221-03). Duke Digital Repository. https://doi.org/10.7924/r4qz26535
Pickart, R. (2018). Conductivity-Temperature-Depth (CTD) data as part of the OSNAP (Overturning in the Subpolar North Atlantic Program), from 2016 on the R/V Neil Armstrong. Duke Digital Repository. https://doi.org/10.7924/r4m61gc19
Lyu, F., Cummer, S., Qin, Z., Chen, M. (2018). Data from: Lightning initiation processes imaged with very high frequency broadband interferometry. Duke Digital Repository. https://doi.org/10.7924/r48c9vs2c
Melis, M., Poggi, D., Fasanella, G. O. D., Cordero, S., Katul, G. (2018). Data from: Resistance to flow on a sloping channel covered by dense vegetation following a dam-break. Duke Digital Repository. https://doi.org/10.7924/r4t72c41h
River, M. (2019). Data from: Suspended sediment mineralogy in stormflow of the Southern Piedmont. Duke Digital Repository. https://doi.org/10.7924/r4jq0xh5k
Altan, I., & Charbonneau, P. (2019). Data and scripts from: Obtaining soft matter models of proteins and their phase behavior. Duke Digital Repository. https://doi.org/10.7924/r4ww7bs1p
Liao, M., & Barros, A. P. (2019). The Integrated Precipitation and Hydrology Experiment - Hydrologic Applications for the Southeast US (IPHEX-H4SE) Part IV: High-Resolution Enhanced Stage IV-Raingauge Combined Precipitation Product. Duke Digital Repository. https://idn.duke.edu/ark:/87924/r4pc2zd75
Fu, L., Steinhardt, W., Zhao, Y., Socolar, J.E.S., and Charbonneau, P. (2017). Data and scripts from: Hard sphere packings within cylinders. Duke Digital Repository. https://doi.org/10.7924/G8SF2T3Z
Fu, L., Bian, C., Shields, W., Cruz, D., Lopez, G., Charbonneau, P. (2017). Data and scripts from: Assembly of hard spheres in a cylinder: a computational and experimental study. Duke Digital Repository. https://doi.org/doi:10.7924/G82Z13F1
Flanagan, N., Wang, H., Winton, S., Richardson, C. (2020). Data from: Low-severity fire as a mechanism of organic matter protection in global peatlands: thermal alteration slows decomposition. Duke Research Data Repository. https://doi.org/10.7924/r4s46nm6p
Jin, Y., Ru, X., Su, N., Beratan, D., Zhang, P., & Yang, W. (2020). Data from: Revisiting the Hole Size in Double Helical DNA with Localized Orbital Scaling Corrections. Duke Research Data Repository. https://doi.org/10.7924/r4k072k9s
Caves, E., Schweikert, L. E., Green, P. A., Zipple, M. N., Taboada, C., Peters, S., Nowicki, S., & Johnsen, S. (2020). Data and scripts from: Variation in carotenoid-containing retinal oil droplets correlates with variation in perception of carotenoid coloration. Duke Research Data Repository. https://doi.org/10.7924/r4jw8dj9h
Agarwal, A.; Bañez, L. L.; Hall, R. P.; Cardones, A. R. (2018). Data from: Comparison of rituximab and conventional adjuvant therapy for pemphigus vulgaris: A retrospective analysis. Duke Digital Repository. https://dx.doi.org/10.7924/r4vh5gw86
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. https://doi.org/10.7924/r4n877f1k
Lin, Y., Kouznetsova, T., Chang, C., Craig, S. (2020). Data from: Enhanced polymer mechanical degradation through mechanochemically unveiled lactonization. Duke Research Data Repository. https://doi.org/10.7924/r49s1r065
Fischer, E., Fischer, M., Grass, D., Henrion, I., Warren, W., Westman, E. (2020). Video data from: Low-cost measurement of facemask efficacy for filtering expelled droplets during speech. Duke Research Data Repository. https://doi.org/10.7924/r4kp81n9j
Kotarba, M., Burgin, A., & Cottrell, K. (2020). Blue Devil Breakdown: enrollment data from 1970 to 2020. Duke Research Data Repository. https://doi.org/10.7924/r4db82p1j
Li, S. & Katul, G. (2020). Data from: Contaminant removal efficiency of floating treatment wetlands. Duke Research Data Repository. https://doi.org/10.7924/r48k7bv5t
Shindell, D., Zhang, Y., Seltzer, K., Faluvegi, G., Naik, V., Horowitz, L., He, J., Lamarque, J.-F., Sudo, K., & Collins, B. (2020). Data from modeling in support of the Global Methane Assessment, UN Environment, 2020. Duke Research Data Repository. https://doi.org/10.7924/r4qn65b0z
Zhang, Y., Wang, Z., Kouznetsova, T., Sha, Y., Xu, E., Shannahan, L., Fermen-Coker, M., Lin., Y., Craig, S. (2020). Data from: Distal conformational locks on ferrocene mechanophores guide reaction pathways for enhanced mechanochemistry. V2 Duke Research Data Repository. https://doi.org/10.7924/r4125x84n
Kaleem, S. & Swisher, C. B. (2020). Data from: Electrographic Seizure Detection by Neuro ICU Nurses via Bedside Real-Time Quantitative EEG. Duke Research Data Repository. https://doi.org/10.7924/r4mp51700
Yi, G. & Grill, W. M. (2020). Data and code from: Waveforms optimized to produce closed-state Na+ inactivation eliminate onset response in nerve conduction block. Duke Research Data Repository. https://doi.org/10.7924/r4z31t79k
Jeuland, M., Ohlendorf, N., Saparapa, R., & Steckel, J. (2020). Data from: Climate implications of electrification projects in the developing world: a systematic review. Duke Research Data Repository. https://doi.org/10.7924/r42n55g1z
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
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., 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
Getzinger, G. J., Higgins, C. P., & Ferguson, P. L. (2020). 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. https://doi.org/10.7924/r4c53n875
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
Charbonneau, P. and Yaida, S. (2016). Data and scripts from: Nontrivial critical fixed point for replica-symmetry-breaking transitions. Duke Digital Repository. https://doi.org/doi:10.7924/G86Q1V5C
Zhang, Y., Wang, Z., Kouznetsova, T., Sha, Y., Xu, E., Shannahan, L., … Craig, S. (2020). Data from: Distal conformational locks guide reaction pathways for enhanced metallocene mechanochemistry. Duke Research Data Repository. https://doi.org/10.7924/r4kw5cx8q
Teti, Z., & Blumsack, S. (2021). RTOGov: regional transmission organization member voting data. Duke Research Data Repository. https://doi.org/10.7924/r40k2dx36
Goffinet, J., Brudner, S., Mooney, R., & Pearson, J. (2021). Data from: Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires. Duke Research Data Repository. https://doi.org/10.7924/r4gq6zn8w
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
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
Ridge, J. T., Gray, P. C., Windle, A. E., & Johnston, D. W. (2020), Deep learning for coastal resource conservation: automating detection of shellfish reefs. Remote Sens Ecol Conserv. doi:10.1002/rse2.134
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
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
Lam, C. T., Krieger, M. S., Gallagher, J. E., Asma, B., Schmitt, J. W, & Ramanujam, N. (2015). Data from: Design of a novel low cost point of care tampon (POCkeT) colposcope for use in resource limited settings. Duke Digital Repository. http://hdl.handle.net/10161/10056
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
Hale, L. (2021). Data from: Liver and biliary disease in mice with ulcerative colitis-like colon inflammation. Duke Research Data Repository. https://doi.org/10.7924/r4ws8r786
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
Warnell, K., & Olander, L. (2021). Pocosin wetland status and owner type for North Carolina. Duke Research Data Repository. https://doi.org/10.7924/r4s75fc6q
Bierlich, K. C., Schick, R. S., Hewitt, J., Dale, J., Goldbogen, J. A., Friedlaender, A. S., Johnston, D. W. (2020). Data and scripts from: A Bayesian approach for predicting photogrammetric uncertainty in morphometric measurements derived from UAS. Duke Research Data Repository. https://doi.org/10.7924/r4wd3x28b
Hayes, M., Puckett, B., Deaton, C. & Ridge, J. (2021). Data from: estimating dredge-induced turbidity using drone imagery. Duke Research Data Repository. https://doi.org/10.7924/r49z9756z
Smith, H. A., & Garomsa, B. (2021). Data and scripts from: Rubenstein Library card catalog. Duke Research Data Repository. https://doi.org/10.7924/r4br8v905
Zheng, M., & Charbonneau, P. (2021). Data and scripts from: Characterization and efficient Monte Carlo sampling of disordered microphases. Duke Research Data Repository. https://doi.org/10.7924/r4w37th8b
Mremi, A., Broadwater, G., Jackson, K. Amsi, P., Mbulwa, C., Hyslop, T., ... Hall, A. (2019). Data from: Breast cancer in Tanzanian, black American, and white American women: An assessment of prognostic and predictive features, including tumor infiltrating lymphocytes. Duke Digital Repository. https://doi.org/10.7924/r4bv7g09k
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
Schaffer-Smith, D., Swenson, J. J. (2018). Data and scripts from: Migratory shorebird response to non-tidal wetland dynamics at an internationally important inland Pacific Flyway stopover. Duke Digital Repository. https://doi.org/10.7924/r47w6b882
Bierlich, K. C., Schick, R. S., Hewitt, J., Dale, J., Goldbogen, J. A., Friedlaender, A. S., & Johnston, D. W. (2020). Data and scripts from: A Bayesian approach for predicting photogrammetric uncertainty in morphometric measurements derived from drones. Duke Research Data Repository. V2 https://doi.org/10.7924/r4sj1jj6s
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
