This data is part of a large program to translate detection and interpretation of HFOs into clinical use. A zip file is included which contains hfo detections, metadata, and Matlab scripts. The matlab scripts analyze this input data and produce figures as in the referenced paper (note: the blind source separation method is stochastic, and so the figures may not be exactly the same). A file "README.txt" provides more detail about each individual file within the zip file.
The items in this bundle are supporting videos to a study of subsea seismo-acoustics carried out regarding an earthquake in the Persian Gulf. The main data used in the study is a diver's recording of the acoustic waves from the earthquake. The epicenter and topography data used in this study are publicly available as cited in the README.txt file.
This dataset contains all data used to generate the figures in The Cryosphere manuscript “Measuring Snow Specific Surface Area with 1.30 and 1.55 micro-meter Bidirectional Reflectance Factors,” by Adam Schneider, Mark Flanner, and Roger De Roo. These data support the theory, calibration, and application of the Near-Infrared Emitting and Reflectance Monitoring Dome (NERD), an instrument engineered to rapidly retrieve surface snow specific surface area in the field. Note that this deposit includes a microCT scan database for natural snowfall samples collected in New Hampshire during 2015-2017, comprised of raw tiff files as well as reconstructions, binarized reconstructions, and some 3D model reconstructions. and Running python scripts generally require that the following packages are installed: NumPy, SciPy, Matplotlib, Pandas, and ipdb (for debugging).
Data provided in this record were collected in the course of studying the genetic basis of differences in wing pigmentation and wing display between Drosophila elegans and Drosophila gunungcola.
Citation to related publication:
Massey, J. H., Rice, G. R., Firdaus, A. S., Chen, C.-Y., Yeh, S.-D., Stern, D. L., & Wittkopp, P. J. (2020). Co-evolving wing spots and mating displays are genetically separable traits in Drosophila. Evolution, 74(6), 1098–1111. https://doi.org/10.1111/evo.13990
The accurate and rapid prediction of generic nanoscale interactions is a challenging problem with broad applications. Much of biology functions at the nanoscale, and our ability to manipulate materials and purposefully engage biological machinery requires knowledge of nano-bio interfaces. While several protein-protein interaction models are available, they leverage protein-specific information, limiting their abstraction to other structures. Here, we present NeCLAS, a general, and rapid machine learning pipeline that predicts the location of nanoscale interactions, providing human-intelligible predictions. Two key aspects distinguish NeCLAS: coarse-grained representations, and the use of environmental features to encode the chemical neighborhood. We showcase NeCLAS with challenges for protein-protein, protein-nanoparticle and nanoparticle-nanoparticle systems, demonstrating that NeCLAS replicates computationally- and experimentally-observed interactions. NeCLAS outperforms current nanoscale prediction models, and it shows cross-domain validity, qualifying as a tool for basic research, rapid prototyping, and design of nanostructures., Software:
- To reproduce all-atom molecular dynamics (MD) NAMD is required (version 2.14 or later is suggested). NAMD software and documentation can be found at https://www.ks.uiuc.edu/Research/namd/, - To reproduce coarse-grained MD simulations, LAMMPS (version 29 Sep 2021 - Update 2 or later is suggested). LAMMPS software and documentation can be found at https://www.lammps.org, - To rebuild free energy profiles, the PLUMED plugin (version 2.6) was used. PLUMED software and documentation can be found at https://www.plumed.org/ , and - To generate force matching potentials, the was used the OpenMSCG software was used. OpenMSCG software and documentation can be found at https://software.rcc.uchicago.edu/mscg/
The datasets of this archive are produced for a research project on the development of an advanced hydrologic modeling system for the St. Lawrence river basin. The outputted datasets from model simulations are in Netcdf 4 format. The author recommend using the netCDF Operators (NCO) program for data processing. For visualization and plotting, the author recommend using software like MATLAB, Python or R.
Alexander, Robert L., Sile O’Modhrain, D. Aaron Roberts, Jason A. Gilbert, and Thomas H. Zurbuchen. “The Bird’s Ear View of Space Physics: Audification as a Tool for the Spectral Analysis of Time Series Data.” Journal of Geophysical Research: Space Physics 119, no. 7 (2014): 5259–71. https://doi.org/10.1002/2014JA020025
The survey questions were organized in the following categories:
- demographics: age, gender identity, race, ethnicity, and country of birth
- education: degree type and date earned, STEM area
- employment field, employer information, title, job duties
- measures of productivity including research, grant, patents and site/workplace/lab access
- work/life balance: responsibilities and duties
Questions regarding productivity and work/life balance queried pre and post COVID experiences. Many questions solicited optional comments and the relevant ones are presented as a table.
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
1.5 years of Polar UVI data was used to construct the Feature Tracking empirical model of Auroral Precipitation (FTA). A cumulative energy grid was tracked with the energy flux and the latitude position in each MLT bin for individual images. The auroral characteristics show linear relationships with the AE index depending on the MLT region. Thus, the FTA model was constructed to describe the global energy flux and the averaged energy as a function of the AE index based on the LBHl and LBHs emissions. Compared with two other empirical models, FTA predicted more consistent aurora with the observations on 17 March 2013 at higher activity levels.
Wu, C., Ridley, A. J., DeJong, A. D., & Paxton, L. J. (2021). FTA: A Feature Tracking Empirical Model Of Auroral Precipitation. Space Weather, 19, e2020SW002629. https://doi.org/10.1029/2020SW002629