This Work contains Supplemental File S3-1, Supplemental File S3-2, Supplemental Table S4-1, Supplemental Table S4-2, and Supplemental Table S4-3 from the dissertation entitled "Genetic Determinants of the Development and Evolution of Drosophila Pigmentation" by Abigail M. Lamb. Supplemental File S3-1 is entitled "Raw data measuring CHC abundance" and contains the measurements of cuticular hydrocarbons used for analysis in Chapter 3 of the dissertation. These data are meant to be read into the R code contained in Supplemental File S3-2, "R code used for analyzing CHC data" to reproduce the results reported in Chapter 3 of the dissertation. Supplemental Tables S4-1, S4-2, and S4-3 contain original phenotyping data, notes, and summary data from the miRNA overexpression and competitive inhibition experiments described in Chapter 4 of the dissertation.
Citation to related publication:
Lamb, A. M., Wang, Z., Simmer, P., Chung, H., & Wittkopp, P. J. (2020). Ebony Affects Pigmentation Divergence and Cuticular Hydrocarbons in Drosophila americana and D. novamexicana. Frontiers in Ecology and Evolution, 8. https://doi.org/10.3389/fevo.2020.00184
These data were produced in an attempt to characterize the turning and steering behaviors of 1-DoF multi-legged (hexpedal in this case) robots. Such turning behaviors require sliding contact points.
All the data is provided in a single, large .csv.gz file (416256 rows); additional details and example code in the README
Laboratory experiments were conducted to compare iron precipitation under completely ferruginous conditions with solutions that contain a low amount of oxidized iron, which can be seen as a proxy for iron oxidation in the environment. and Some XRD files are from a copper source (Cu_XRD) and others are from a cobalt source (Co_XRD).
Isaac L. Hinz, Christine Nims, Samantha Theuer, Alexis S. Templeton, Jena E. Johnson; Ferric iron triggers greenalite formation in simulated Archean seawater. Geology 2021; doi: https://doi.org/10.1130/G48495.1
Contemporary material characterisation techniques that leverage deformation fields and the weak form of the equilibrium equations face challenges in the numerical solution procedure of the inverse characterisation problem. As material models and descriptions differ, so too must the approaches for identifying parameters and their corresponding mechanisms. The widely-used Ogden material model can be comprised of a chosen number of terms of the same mathematical form, which presents challenges of parsimonious representation, interpretability, and stability. Robust techniques for system identification of any material model are important to assess and improve experimental design, in addition to their centrality to forward computations. Using fully 3D displacement fields acquired in silicone elastomers with our recently-developed magnetic resonance cartography (MR-u) technique on the order of ~20,000 points per sample, we leverage PDE-constrained optimisation as the basis of variational system identification of our material parameters. We incorporate the statistical F-test to maintain parsimony of representation. Using a new, local deformation decomposition locally into mixtures of biaxial and uniaxial tensile states, we evaluate experiments based on an analytical sensitivity metric, and discuss the implications for experimental design.
This repository contains the acquired data and MRI processing code used in this work.
This data and scripts are meant to test and show that seizure onset dynamics can be modulated using anti-epileptic drugs. A zip file is included that contains all waveform data, MATLAB processing scripts, and metadata. The MATLAB scripts allow for visual review validation and objective feature analysis. The file includes various README files explaining the scripts and their relationships in greater detail.
We use waveform data from the USArray and spectral-element method synthetics for 3-D seismic models. The recorded waveform data are downloaded from Incorporated Research Institutions for Seismology (IRIS) which is open to everyone. The synthetic waveform data are generated by the SPECMFEM3D_Globe software that was downloaded from the Computational Infrastructure for Geodynamics ( https://geodynamics.org/). This dataset includes the scripts we use to automatically download data from IRIS, the selection of data, and the application of the CRP method. In doing this, we use the TauP toolkit which is free to download ( https://www.seis.sc.edu/taup/) to compute the travel time.
This set of Madymo models were setup with a convertible seat and the HIII 3YO child ATD model. Both FMVSS 213 and captain chair were simulated with varied vehicle interior (sedan vs. minivan) and car seat installation methods (LATCH vs. 3pt belt). Although the models provided here only represent the frontal crash condition, simulations with a wide range of impact directions can be simulated.
The Brune source model is widely used in studies of complex earthquakes with multiple episodes of high moment release (i.e., multiple subevents). In this study, we investigate how corner frequency estimates of earthquakes with multiple subevents are biased if they are based on the Brune source model. By assuming complex sources as a sum of multiple Brune sources, we analyze 1,640 source time functions (STFs) of Mw 5.5-8.0 earthquakes in the SCARDEC catalog to estimate the corner frequencies, onset times, and seismic moments of subevents. We identify more subevents for strike-slip earthquakes than dip-slip earthquakes, and the number of resolvable subevents increases with magnitude. We find that earthquake corner frequency correlates best with the corner frequency of the subevent with the highest moment release (i.e., the largest subevent). This suggests that, when the Brune model is used, the estimated corner frequency and therefore the stress drop of a complex earthquake is determined primarily by the largest subevent rather than the total rupture area. and Our results imply that the stress variation of asperities, rather than the average stress change of the whole fault, contributes to the large variance of stress drop estimates.
Citation to related publication:
Meichen Liu, Yihe Huang, Jeroen Ritsema. 2021. Characterizing Multi-Subevent Earthquakes Using the Brune Source Model [Preprint]. https://essoar.org (2021) DOI: doi.org/10.1002/essoar.10507564.1
The search data supports a scoping literature review project on Loss to follow-up barriers in care for Cornea Ulcers and Glaucoma. The data included are the reproducible search strategies (txt file) and the exported results of all citations from all databases (txt, ris, and.nbib files). Both the original search files and updated search files have been included in the deposit.