McLean, E. M., Moorad, J. A., Tung, J., Archie, E. A., & Alberts, S. C. (2023). Data from: Genetic variance and indirect genetic effects for affiliative social behavior in a wild primate. Duke Research Data Repository. https://doi.org/10.7924/r4c252v1k
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
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
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
Johnson, M. O., Kim, J-Y., Dalton, J. C., Cort, N., Herndon, J. E., Affronti, M. L., Peters, K. B., Jones, C. A. (2024). Data from: Comparing knowledge and perceptions of palliative care among neuro-oncology patients, caregivers, and providers to a representative U.S. sample. Duke Research Data Repository. https://doi.org/10.7924/r40s0030b
Cerino, D., Corbett, R., Halanych, K., Lawrence, S., Silliman, B., McWhorter, H., Bailey, A., Bean de Hernandez, A., & Wilkinson, J. (2024). Advancing climate technologies in Eastern North Carolina (NC). Duke Research Data Repository. https://doi.org/10.7924/r4pz5dp17
Amubieya, O., Todd, J. L., Neely, M. L., Kaner, R. J., Lasky, J. A., Namen, A., Hesslinger, C., Palmer, S. M., Weigt, S. S., & Belperio, J. A. (2024). Data from: Associations of circulating matrix metalloproteinases and tissue inhibitors of matrix metalloproteinases with clinically relevant outcomes in idiopathic pulmonary fibrosis: data from the IPF-PRO Registry. Duke Research Data Repository. https://doi.org/10.7924/r4ff40891
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
Boulinguez-Ambroise, G., Boyer, D., & Young, J. W. (2024). Data from: Biomechanical and morphological determinants of maximal jumping performance in callitrichine monkeys. Duke Research Data Repository. https://doi.org/10.7924/r47m0hf0g
Yang, H., Dong, P., Kawai, T., & Yin, H. H. (2024). Data from: Calcium-activated ion channels drive atypical inhibition in medial habenula neurons. Duke Research Data Repository. https://doi.org/10.7924/r4w95d459
Kastenholz, H. V., Topper, M. I. , Warren, W. S. , Fischer, M. C., & Grass, D. (2024). Data and scripts from: Noninvasive identification of carbon-based black pigments with pump-probe microscopy. Duke Research Data Repository. V2 https://doi.org/10.7924/r48059m9k
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
Nadell, C. C., Huang, B., Malof, J. M., & Padilla, W. J. (2024). Data from: Deep learning for accelerated all-dielectric metasurface design. Duke Research Data Repository. https://doi.org/10.7924/r44j0qd59
Zhao, J., Bower, A., Yang, J., Lin, X. (2018). CTD data collected by Slocum glider operated between June and November 2015 in the Iceland Basin as part of OSNAP (Overturning in the Subpolar North Atlantic Program). Duke Digital Repository. https://doi.org/10.7924/r4m905g03
Shaver, E. C., Burkepile, D. E., Silliman, B. R. (2017). Data from: Local management actions can increase coral resilience to thermally-induced bleaching. Duke Digital Repository. https://doi.org/10.7924/G8348HFP
Caves, E. M., Green, P. A., Zipple, M. N., Peters, S., Johnsen, S., Nowicki, S. (2018). Data and scripts from: Categorical perception of colour signals in a songbird. Duke Digital Repository. https://doi.org/10.7924/r4rx96r99
Mello, D. F., Perez, L., Bergemann, C. M., Morton, K. S., Ryde, I. T., & Meyer, J. N. (2024). Data from: Comprehensive characterization of mitochondrial bioenergetics at different larval stages reveals novel insights about the developmental metabolism of Caenorhabditis elegans. Duke Research Data Repository. https://doi.org/10.7924/r4hm5fv5t
Hussain, M., Grill, W. M., & Pelot, N. A. (2024). Data and scripts from: Highly efficient modeling and optimization of neural fiber responses to electrical stimulation. Duke Research Data Repository. https://doi.org/10.7924/r48g8tf24
Patton, E., Li, W., Ward, A., & Doyle, M. (2024). Data from: Wet bulb globe temperature from climate model outputs: a method for projecting hourly site-specific values and trends. Duke Research Data Repository. https://doi.org/10.7924/r4st7st5t
Mukumbya, B., Kitya, D. Trillo-Ordonez, Y., Sun, K., Obiga, O., Deng, D. D., Stewart, K. A., Ukachukwu, A. K., Haglund, M. M., & Fuller, A. T. (2024). Data from: The feasibility, appropriateness, and usability of mobile neuro clinics in addressing the neurosurgical and neurological demand in Uganda. Duke Research Data Repository. https://doi.org/10.7924/r4m90f080
