These data are TLA events identified in MACCS magnetometer data throughout 2015. These events are short-timescale (< 60 s), large -amplitude (> 6 nT/s) magnetic disturbances measured at Earth's surface that are analyzed for space weather research purposes. and The events were identified in a year's worth of magnetic field data using an algorithm developed in the MATLAB platform. The algorithm dBdt_main.m can be run using the associated scripts (clean_maccs.m, simple_dbdt.m, extremes1.m, newdbdt.m) to return the events in the 2015_AllEvents.csv file. The substorm onset delays of each event are determined with the onset_delays.m script and the substorm event list 20191127-15-56-substorms.csv (both included).
Engebretson, M. J., Pilipenko, V. A., Ahmed, L. Y., Posch, J. L., Steinmetz, E. S., Moldwin, M. B., … Vorobev, A. V. (2019). Nighttime Magnetic Perturbation Events Observed in Arctic Canada: 1. Survey and Statistical Analysis. Journal of Geophysical Research: Space Physics, 124(9), 7442–7458. https://doi.org/10.1029/2019JA026794
Traces from single-molecule fluorescence microscopy (SMFM) experiments exhibit photophysical artifacts that typically necessitate human expert screening, which is time-consuming and introduces potential for user-dependent expectation bias. Here, we have used deep learning to develop a rapid, automatic SMFM trace selector, termed AutoSiM, that improves the sensitivity and specificity of an assay for a DNA point mutation based on single-molecule recognition through equilibrium Poisson sampling (SiMREPS). The improved performance of AutoSiM is based on accepting both more true positives and fewer false positives than the conventional approach of hidden Markov modeling (HMM) followed by thresholding. As a second application, the selector was used for automated screening of single-molecule Förster resonance energy transfer (smFRET) data to identify high-quality traces for further analysis, and achieves ~90% concordance with manual selection while requiring less processing time. AutoSiM can be adapted readily to novel datasets, requiring only modest Transfer Learning.
Li, J., Zhang, L., Johnson-Buck, A., & Walter, N. G. (2020). Automatic classification and segmentation of single-molecule fluorescence time traces with deep learning. Nature Communications, 11(1), 5833. https://doi.org/10.1038/s41467-020-19673-1 and Hayward, S., Lund, P., Kang, Q., Johnson-Buck, A., Tewari, M., Walter, N. (2018). Single-molecule microscopy image data and analysis files for "Ultra-specific and Amplification-free Quantification of Mutant DNA by Single-molecule Kinetic Fingerprinting" [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/Z2CZ35DF
Reconstructed CT slices for a right proximal metatarsal 1 of the Cantius trigonodus (University of Michigan Museum of Paleontology catalog number UMMP VP 81822), as a series of TIFF images. Raw projections are not included in this dataset.
Low-velocity accretionary wedges and sedimentary layers overlaying continental plates are widely observed in the subduction zones where historical large earthquakes have occurred. It was observed that rupture of the 2011 Mw 9.0 Tohoku-Oki earthquake propagated to the trench with large coseismic slip on the shallow fault, but what caused the huge shallow slip remains a prominent problem., Here we explore how the two low-velocity structures, accretionary wedge and sedimentary layer, affect the coseismic slip and near-fault ground motions during the 2011 Tohoku-Oki earthquake. Constrained by the observed seafloor deformation, we present a 2-D dynamic rupture model of the 2011 Tohoku-Oki earthquake with an accretionary wedge and a sedimentary layer. Compared to a homogeneous model with the same friction and stress parameters on the fault, we find that the co-existence of the accretionary wedge and sedimentary layer significantly enhances the shallow coseismic slip and amplifies ground accelerations near the accretionary wedge. We then investigate a plausible scenario of a smaller Tohoku-Oki earthquake when its rupture does not reach the accretionary wedge. The sedimentary layer slightly enhances the coseismic slip while the accretionary wedge has almost no influence for the smaller earthquake scenario, but both structures significantly amplify the ground accelerations on the overriding plate. , and By simulating a suite of earthquake scenarios, we suggest that the co-existence of an accretionary wedge and sedimentary layers tend to enhance coseismic slip, but the enhancement effect decreases as the up-dip limit of rupture zones terminates at a larger depth. The numerical simulations were solved using SEM2DPACK _2.3.8 ( http://www.sourceforge.net/projects/sem2d/), and simulation results were visualized by Matlab. This folder includes the input files to reproduce our simulation results and plot scripts.
Li, X., & Huang, Y. (2021). The enhancement of coseismic slip and ground motion due to the accretionary wedge and sedimentary layer in the 2011 Tohoku-Oki earthquake (world) [Preprint]. Earth and Space Science Open Archive. https://doi.org/10.1002/essoar.10506336.1
This archived dataset includes all of the input files that were used to run the model for all the runs in this set, including files containing model parameters and drivers. This dataset also includes all of the model output files from model runs in this set.
Yuan, Y., S. J. Sharp, J. P. Martina, K. J. Elgersma, and W. S. Currie. Sustained-flux global warming potential driven by nitrogen inflow and hydroperiod in a model of Great Lakes coastal wetlands. JGR Biogeosciences in review.
This data set contains a new estimate of monthly water balance components from 1950 to 2019 for the Laurentian Great Lakes, the largest freshwater system on Earth. The source code and inputs to derive the new estimates are also included in this dataset.
Do, H.X., Smith, J., Fry, L.M., and Gronewold, A.D., Seventy-year long record of monthly water balance estimates for Earth’s largest lake system (pending for submission) and Version Note: This dataset is deprecated and has been replaced by version 1.1, found at https://deepblue.lib.umich.edu/data/concern/data_sets/sb3978457
Reconstructed CT slices for a left dentary of Carpodaptes stonleyi (University of Michigan Museum of Paleontology catalog number UMMP VP 85286) as a series of TIFF images. Raw projections are not included in this dataset.
Data and Code are divided into separate folders. Data is given for all simulations of all 3 models included in manuscript, as well as the FLUXNET data processed into monthly NetCDF files.
Citation to related publication:
Wozniak, M. C., Bonan, G. B., Keppel-Aleks, G., & Steiner, A. L. (2020). Influence of Vertical Heterogeneities in the Canopy Microenvironment on Interannual Variability of Carbon Uptake in Temperate Deciduous Forests. Journal of Geophysical Research: Biogeosciences, 125(8), e2020JG005658. https://doi.org/10.1029/2020JG005658
These netcdf and Matlab files contain the information needed to reproduce Figures 1, 4, 8, 17, 18, 9-16 (minus the proxy values and Monte Carlo results), and the "24 hour" results of Figures 2 and 3.
Daher, H., Arbic, B. K., Williams, J. G., Ansong, J. K., Boggs, D. H., Müller, M., et al. (2021). Long-term Earth-Moon evolution with high-level orbit and ocean tide models. Journal of Geophysical Research: Planets, 126, e2021JE006875. https://doi.org/10.1029/2021JE006875
This was a small descriptive study to determine whether short chain fatty acids (SCFAs) are detectable in water. It is part of a larger study that assessed the utility of exhaled breath condensate (EBC) as a biofluid for microbiome assays.
Yue, M., Kim, J. H., Evans, C. R., Kachman, M., Erb-Downward, J. R., D’Souza, J., Foxman, B., Adar, S. D., Curtis, J. L., & Stringer, K. A. (2020). Measurement of Short-Chain Fatty Acids in Respiratory Samples: Keep Your Assay above the Water Line. American Journal of Respiratory and Critical Care Medicine, 202(4), 610–612. https://doi.org/10.1164/rccm.201909-1840LE