Bradley-Cronkwright, M., Moore, S., Hou, L., Cote, S., & Rolian C. (2024). Data from: Impact of hindlimb length variation on jumping dynamics in the Longshanks mouse. Duke Research Data Repository. https://doi.org/10.7924/r47088k44
Carley, L., Mojica, J., & Wagner, M. (2023). Variation for secondary chemistry and herbivory in Boechera. Duke Research Data Repository. https://doi.org/10.7924/r4g16624b
Liu, M., Ji, Z., Jain, V., Smith, V. L., Hocke, E., Patel, A. P., McLendon, R. E., Ashley, D. M., Gregory, S. G., & Lopez, G. Y. (2024). Images from: Spatial transcriptomics reveals segregation of tumor cell states in glioblastoma and marked immunosuppression within the perinecrotic niche. Duke Research Data Repository. https://doi.org/10.7924/r4nk3k26s
Segura, T., Miller, A. W., & Anderson, A. (2024). Data from: Wound healing splinting devices with improved wound access and application speed. Duke Research Data Repository. https://doi.org/10.7924/r4s75kg76
Pasquale, D. K., Moody, J., Bentley-Edwards, K. Welsh, W., & Olson, A. (2024) Duke RDS^2: Respondent-driven sampling for respiratory disease surveillance, the snowball sampling study (social mixing and referrals dataset). Duke Research Data Repository. https://doi.org/10.7924/r43f4zj2q
Kastenholz, H. V., Topper, M. I. , Warren, W. S. , Fischer, M. C., & Grass, D. (2024). Noninvasive identification of carbon-based black pigments with pump-probe microscopy. Duke Research Data Repository. https://doi.org/10.7924/r43j3nx2k
Highland, R., Rancu, A., Price, H., Parker, S., Reynolds M., Hoffman, B., & Wax, A. (2024). Data from: Multimodal segmentation analysis of subcellular responses to hypo-osmotic stimulus using combined quantitative phase imaging and FRET-based calcium sensors. Duke Research Data Repository. http://doi.org/10.7924/r4tt4tp06
Cossette, B. J., Shetty, S., Issah, L. A., & Collier, J. H. (2024). Data from: Self-assembling allergen vaccine platform raises therapeutic allergen-specific IgG responses without induction of systemic allergic responses. Duke Research Data Repository. https://doi.org/10.7924/r4v40xs2n
Raman, A., Zachem, T., Plumlee, S., Park, C., Eward, W., Codd, P., & Ross, W. (2024).Data from: Machine learning approaches in non-contact autofluorescence spectrum classification. Duke Research Data Repository. https://doi.org/10.7924/r4vt1vh11
Spasojevic, I., & Ilyasova, D. (2024). Data from: A cluster-randomized trial of water, sanitation, handwashing and nutritional interventions on stress and epigenetic programming. Duke Research Data Repository. https://doi.org/10.7924/r49311p2m
Meredith, H. R., Wesolowski, A., Okoth, D., Maraga, L., Ambani, G., Chepkwony, T., Abel, L., Kipkoech, J., Lokoel, G., Esimit, D., Lokemer, S., Maragia, J., O'Meara, W. P., & Obala, A. A. (2024). Data and scripts from: Characterizing mobility patterns and malaria risk factors in semi-nomadic populations of Northern Kenya. Duke Research Data Repository. https://doi.org/10.7924/r49311n5m
Brandsen, S., Chandrasekhar, T., Franz, L., Grapel, J., Dawson, G., & Carlson, D. (2024). Scripts from: Prevalence of Bias against Neurodivergence-Related Terms in Artificial Intelligence Language Models. Duke Research Data Repository. https://doi.org/10.7924/r4xw4mn8r
Peña, E., Pelot, N., & Grill, W. M. (2024). Data from: Computational models of compound nerve action potentials: Efficient filter-based methods to quantify effects of tissue conductivities, conduction distance, and nerve fiber parameters. Duke Research Data Repository. V2 https://doi.org/10.7924/r4pc3624h
Peña, E., Pelot, N., & Grill, W. M. (2024). Data from: Computational models of compound nerve action potentials: Efficient filter-based methods to quantify effects of tissue conductivities, conduction distance, and nerve fiber parameters. Duke Research Data Repository. https://doi.org/10.7924/r4fx7gq46
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
Rosenthal, M. Z. (2024). Data from: Relationships among stress, perceived stress, trauma, PTSD, and misophonia. Duke Research Data Repository. https://doi.org/10.7924/r4mp57d4n
Jacobs, H. L., & Sorenson, L. (2024). Dictionary of Art Historians - Art Historian Entries 2017-2023. Duke Research Data Repository. https://doi.org/10.7924/r4vd71x1m
Winter, C. M., Szekeley, P., Popov, V., Belcher, H., Carter, R., Jones, M., Fraser, S., Truong, T., & Benfey, P. (2023). Data from: SHR and SCR coordinate root patterning and growth early in the cell cycle. Duke Research Data Repository. https://doi.org/10.7924/r46q2571m
O'Meara, W. P., & Laktabai, J. (2023). Data from: A cluster-randomized trial of client and provider-directed financial interventions to align incentives with appropriate case management in retail medicine outlets: results of the TESTsmART Trial in western Kenya. Duke Research Data Repository. https://doi.org/10.7924/r47w6kx70
Forte, M., Newton, E., McCusker, K., Falvo, C, & Johnston, D. (2023). Vulci 3000: Multispectral drone for the reconstruction of Etruscan landscapes in Italy. Duke Research Data Repository. https://doi.org/10.7924/r4b282d03
Chen, P., & Guilleminot, J. (2022). Data from: Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: Stochastic modeling, identification, and propagation. Duke Research Data Repository. https://doi.org/10.7924/r4rn3c061
Bonnet, G., Charbonneau, P., & Folena, G. (2023). Data and scripts from: Glass-like caging with random planes. Duke Research Data Repository. https://doi.org/10.7924/r4gx4hm10
Rosenthal, M. Z., Kelley, L. D, Guetta, R., Trumbull, J., McMahon, K. K., Anand, D., Greenleaf, A., Casillo-Robbins, C., & Shan, Y. (2023). Data from: Understanding Factors Associated with Misophonia (Misophonia Phenotyping - Phase 1). Duke Research Data Repository. https://doi.org/10.7924/r4gx4hk7f
Hsu-Kim, H., Wadle, A., Neal-Walthall, N., & Ndu, U. (2023). Data from: Distribution and homogenization of multiple mercury species inputs to freshwater wetland mesocosms. Duke Research Data Repository. https://doi.org/10.7924/r4fj2p49s
Parikh, N., McGovern, B., & LaBar, K. S. (2023). Data from: Spatial distancing reduces emotional arousal to reactivated memories. Duke Research Data Repository. https://doi.org/10.7924/r4z89f54g
Morse, P., & Charbonneau, P. (2023). Data and scripts from: Jamming, relaxation, and memory in a minimally structured glass former. Duke Research Data Repository. https://doi.org/10.7924/r4th8qc0b
Tang, B., Kamakura, R., Barnett, D., Clark, J. (2022). Data and scripts from: Design and use of monitoring networks: Few-large versus many-small (FLvMS) and multi-scale analysis. Duke Research Data Repository. https://doi.org/10.7924/r43t9qf44
Prince, J., & Jones, A. D., III. (2023). Data and scripts from: Heterogenous biofilm mass-transport model replicates periphery sequestration of antibiotics in Pseudomonas aeruginosa PAO1 microcolonies. Duke Research Data Repository. https://doi.org/10.7924/r4pr80j7f
Yu, Y., O'Neill, R. T., Boulatov, R., Widenhoefer, R. A., Craig, S. L.(2023). Data from: Allosteric control of olefin isomerization kinetics via remote metal binding and its mechano-chemical analysis. Duke Research Data Repository. https://doi.org/10.7924/r4474k10q
Tang, B., Roberts, S. M., Clark, J. S. & Gelfand, A. E. (2023). Data from: Mechanistic modeling of climate effects on redistribution and population growth in a community of fish species. Duke Research Data Repository. https://doi.org/10.7924/r4tq63p9k
Chandra, R., Sokratian A., Chavez K. R., King S., Swain S. M., Snyder J. C., West A. B., & Liddle R. A. (2023). Data from: Gut mucosal cells transfer α-synuclein to the vagus nerve. Duke Research Data Repository. https://doi.org/10.7924/r4542x03c
Morton, K. S., Heffernan, N., Ryde, I. T, Hartman, J. H., Meng, L., & Meyer, J. N. (2023). Data from: Chronic high-sugar diet in adulthood protects Caenorhabditis elegans from 6-OHDA induced dopaminergic neurodegeneration. Duke Research Data Repository. https://doi.org/10.7924/r4183gr2w
Gilbert, J. E., Zhang, T., Esteller, R., Grill, W. M. (2023). Model Code and Supplemental Figures for: Network Model of Nociceptive Processing in the Superficial Spinal Dorsal Horn Reveals Mechanisms of Hyperalgesia, Allodynia, and Spinal Cord Stimulation. Duke Research Data Repository. https://doi.org/10.7924/r45h7qg0d
Zhou, K., Harfouche, M., Cooke, C. L., Park, J., Konda, P. C., Kreiss, L., Doman, J., Reamey, P., Saliu, V., Cook, C., Zheng, M., Bechtel, J. P., McCarroll, M., Bagwell, J., Horstmeyer, G., Bagnat, M. & Horstmeyer, R. (2023). Data from: Parallelized computational 3D video microscopy of freely moving organisms at multiple gigapixels per second. Duke Research Data Repository. https://doi.org/10.7924/r4db86b1q
Clark, D. P. and Badea, C. T. (2022). Supplemental data archive for the Multi-Channel CT Reconstruction (MCR) Toolkit. Duke Research Data Repository. https://doi.org/10.7924/r45m6cs1f