Environmental DNA (eDNA): A tool for quantifying the abundant but elusive round goby (Neogobius melanostomus) MB Nevers, MN Byappanahalli, CC Morris, D Shively, K Przybyla-Kelly, ... PloS one 13 (1), e0191720, 2018 | 110 | 2018 |
Influence of sediment and stream transport on detecting a source of environmental DNA MB Nevers, K Przybyla-Kelly, D Shively, CC Morris, J Dickey, ... PLoS One 15 (12), e0244086, 2020 | 32 | 2020 |
Beyond correlation: A path‐invariant measure for seismogram similarity J Dickey, B Borghetti, W Junek, R Martin Seismological Research Letters 91 (1), 356-369, 2020 | 20 | 2020 |
Detecting large explosions with machine learning models trained on synthetic infrasound data A Witsil, D Fee, J Dickey, R Peña, R Waxler, P Blom Geophysical Research Letters 49 (11), e2022GL097785, 2022 | 12 | 2022 |
Improving regional and teleseismic detection for single-trace waveforms using a deep temporal convolutional neural network trained with an array-beam catalog J Dickey, B Borghetti, W Junek Sensors 19 (3), 597, 2019 | 11 | 2019 |
An adaptive technique for isolating the seismic response of an infrasound sensor JT Dickey, WB Mikhael 2012 IEEE 55th International Midwest Symposium on Circuits and Systems …, 2012 | 3 | 2012 |
BazNet: a deep neural network for confident three-component backazimuth prediction J Dickey, B Borghetti, W Junek Pure and Applied Geophysics 178 (7), 2459-2473, 2021 | 2 | 2021 |
Detecting Large Explosions using Infrasound Data Augmentation and Machine Learning A Witsil, D Fee, J Dickey, P Blom, R Waxler, R Pena AGU Fall Meeting Abstracts 2021, V24A-04, 2021 | | 2021 |
Seismo-Acoustic Shockwave Isolation for Low-Yield Local Explosions J Dickey, M Pasyanos, R Martin, R Peña EGU General Assembly Conference Abstracts, 9799, 2020 | | 2020 |
Neural Network Models for Nuclear Treaty Monitoring: Enhancing the Seismic Signal Pipeline with Deep Temporal Convolution JT Dickey | | 2020 |
Supporting Information for” Detecting Large Explosions with Machine Learning Models Trained on Synthetic Infrasound Data” A Witsil, D Fee, J Dickey, R Pena, R Waxler, P Blom | | |