Publications

Dybing, S. N., Yeck, W. L., Cole, H. M., & Melgar, D. (2024). Rapid estimation of single-station earthquake magnitudes with machine learning on a global scale. Bulletin of the Seismological Society of America, 114(3), 1523–1538. https://doi.org/10.1785/0120230171

Thomas, A. M., Melgar, D., Dybing, S. N., & Searcy, J. R. (2023). Deep learning for denoising high-rate global navigation satellite system data. Seismica, 2(1). https://doi.org/10.26443/seismica.v2i1.240

Pasteris, J. D., Bae, Y., Giammar, D. E., Dybing, S. N., Yoder, C. H., Zhao, J., & Hu, Y. (2021). Worth a closer look: Raman spectra of lead-pipe scale. Minerals, 11(10), 1047. https://doi.org/10.3390/min11101047

Dannemann Dugick, F. K., van der Lee, S., Prieto, G. A., Dybing, S. N., Toney, L., & Cole, H. M. (2021). ROSES: Remote online sessions for emerging seismologists. Seismological Research Letters, 92(4), 2657–2667. https://doi.org/10.1785/0220200421

Dybing, S. N., Ringler, A. T., Wilson, D. C., & Anthony, R. E. (2019). Characteristics and spatial variability of wind noise on near-surface broadband seismometers. Bulletin of the Seismological Society of America, 109(3), 1082–1098. https://doi.org/10.1785/0120180227

Recorded Presentations

Dybing, S. N., Yeck, W. L., Cole, H. M., Melgar, D., Lin, J.-T., Thomas, A. M., Sahakian, V., Searcy, J. R., Mencin, D., (2023). Invited Webinar: Small to Big, Local to Global, Earth to Space – Diverse Machine Learning Applications for Earthquake Early Warning and Rapid Response, EarthScope Webinar Series. Watch on YouTube

Dybing, S. N. (2020) Remote Online Sessions for Emerging Seismologists (ROSES) summer school, hosted by the AGU Seismology Section. Unit 1: ObsPy. Watch on YouTube

Conference Posters

Dybing, S. N., Melgar, D., Barbour, A. J., Canitano, A., Goldberg, D. E., (2024). Poster: Investigating early earthquake rupture characteristics with borehole strainmeters, Seismological Society of America 2024 Annual Meeting. view poster

Dybing, S. N., Melgar, D., Thomas, A. M., Mencin, D., (2022). Poster: Detecting Earthquakes in Noisy Real-Time GNSS Data with Machine Learning for Earthquake and Tsunami Early Warning, 2022 NASA Solid-Earth Team Meeting. view poster

Dybing, S. N., Melgar, D., Thomas, A. M., Hodgkinson, K., Mencin, D., (2021). Poster: Training a convolutional neural network to identify earthquake onset in real-time GNSS data, Seismological Society of America 2021 Annual Meeting. view poster

Dybing, S. N., Ringler, A. T., Wilson, D. C., and Anthony, R. E., (2018). Characteristics and spatial variability of wind noise on near-surface broadband seismometers, American Geophysical Union 2018 Fall Meeting and 2018 Midstates Undergraduate Research Symposium. view poster

Pasteris, J. D., Yoder, C. H., Bollmeyer, M. M., Stepien, K. R., and Dybing, S. N., (2018). Channel carbonate substitution in apatite: a new look with Raman and IR spectroscopy, Goldschmidt Conference. view poster

Simon, J. C., Dybing, S. N., Cunitz, B. W., Sapozhnikov, O. A., and Bailey, M. R., (2015). Twinkling in space: kidney stone detection with ultrasound, NASA’s Human Research Program Investigators’ Workshop. view poster