Walker, I., Montaño, M., Lankone, R., Fairbrother, H. & Ferguson, L. (2021). Data from: Influence of CNT loading and environmental stressors on leaching of polymer associated chemicals from epoxy and polycarbonate nanocomposites. Duke Research Data Repository. https://doi.org/10.7924/r4r49q34n
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, 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
Warnell, K., & Olander, L. (2021). Pocosin wetland status and owner type for North Carolina. Duke Research Data Repository. https://doi.org/10.7924/r4s75fc6q
Charbonneau, P. & Tarzia, M. (2021). Data from: Solution of disordered microphases in the Bethe approximation. Duke Research Data Repository. https://doi.org/10.7924/r42v2m409
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
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
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
Fogel, A. S., McLean, E. M., Gordon, J. B., Archie, E. A., Tung, J., & Alberts, S. C. (2021). Data from: Genetic ancestry predicts male-female affiliation in a natural baboon hybrid zone. Duke Research Data Repository. https://doi.org/10.7924/r4kp82d1z
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
Cassar, I. R., & Grill, W. M. (2021). Data from: Therapeutic frequency profile of subthalamic nucleus deep brain stimulation is shaped by antidromic spike failure. Duke Research Data Repository. https://doi.org/10.7924/r41n85692
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
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
Teti, Z., & Blumsack, S. (2021). RTOGov: regional transmission organization member voting data. Duke Research Data Repository. https://doi.org/10.7924/r40k2dx36
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
Crewmembers of the Eastward. (2021). Research Vessel Eastward science logs, 1971 and 1975-1981. Duke Research Data Repository. https://doi.org/10.7924/r4dz09m64
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
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
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
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.
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. & Morse, P. (2021). Data From: Memory formation in jammed hard spheres. Duke Research Data Repository. https://doi.org/10.7924/r41r6vf5t
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Li, S. & Katul, G. (2020). Data from: Contaminant removal efficiency of floating treatment wetlands. Duke Research Data Repository. https://doi.org/10.7924/r48k7bv5t
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
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
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
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
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
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
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
Fischer, E., Fischer, M., Grass, D., Henrion, I., Warren, W., Westman, E. (2020). Video data files from: Low-cost measurement of facemask efficacy for filtering expelled droplets during speech. Duke Research Data Repository. V2 https://doi.org/10.7924/r4ww7dx6q
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
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