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. 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
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
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
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
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
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