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- Creator:
- Sun, Xin, Zhang, Kehui, Marks, Rebecca, Karas, Zachary, Eggleston, Rachel, Nickerson, Nia, Yu, Chi-Lin, Wagley, Neelima, Hu, Xiaosu, Caruso, Valeria, Tardif, Twila, Satterfield, Teresa, Chou, Tai-Li, and Kovelman, Ioulia
- Description:
- In a broad sense, this dataset explores morphological and phonological processing in English monolinguals and two bilingual populations, Chinese-English and Spanish-English, using a battery of standardized and self-developed behavioral measures, as well as fNIRS neuroimaging.
- Citation to related publication:
- Sun X, Zhang K, Marks R, Karas Z, Eggleston R, Nickerson N, Yu CL, Wagley N, Hu X, Caruso V, Chou TL, Satterfield T, Tardif T, Kovelman I. Morphological and phonological processing in English monolingual, Chinese-English bilingual, and Spanish-English bilingual children: An fNIRS neuroimaging dataset. Data Brief. 2022 Mar 12;42:108048. doi: 10.1016/j.dib.2022.108048. PMID: 35313503; PMCID: PMC8933821.
- Discipline:
- Science
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- Creator:
- Shi, Xuetao, Elvati, Paolo, and Violi, Angela
- Description:
- Non-thermal plasma systems offer unique opportunities in the fields of bio-imaging, drug delivery, photovoltaics, microelectronics manufacturing. Such interests are largely inspired by the fact that hot plasma electrons coexist with neutral species and ions close to room-temperature under non-thermal plasma conditions. Modeling of these systems requires a deep understanding of the atomistic processes underlying the rich chemistry of the various radicals and ions with the nascent nanoparticle surface. A key parameter for determining the contribution of a certain radical/ion species to the nanoparticle surface growth, called sticking coefficient, is computed as a weighted sum from the simulated sticking outcomes with different collision velocities drawn from a Maxwell-Boltzmann distribution at certain temperatures. In this work, the collisions of SiHx (x=1-4) fragments and silicon cluster (Si4, Si2H6, and Si29H36) surfaces, responsible for the sticking coefficients, are simulated by molecular dynamics (MD) with a reactive force field. The dependence of sticking coefficients on temperature, H coverage of both silane fragments and cluster surfaces, and the size of the cluster, are systematically examined. And the mechanism underlying the sticking events, specifically the conversion of physical aggregation to chemisorption is investigated to better understand the complex interplay between factors influencing the surface growth. The detailed and multi-parameter model of sticking coefficients, accompanied by the mechanism study of physisorption to chemisorption conversion, provides a more accurate and robust approximation of surface growth rate using sticking coefficients, and a deeper understanding of surface growth processes, for the wider non-thermal plasma simulation community.
- Keyword:
- Sticking coefficients, Silanes, Molecular Dynamics, Non-equilibrium, and Aggregation mechanisms
- Citation to related publication:
- Shi, X., Elvati, P., Violi, A. (2021). On the growth of Si nanoparticles in non-thermal plasma: physisorption to chemisorption conversion. J. Phys. D. Submitted.
- Discipline:
- Science
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- Creator:
- Sergio E. Vidal-Luengo
- Description:
- This database contains spacecraft and ground-based magnetic field observations made to study the propagation of the preliminary impulse triggered by interplanetary shocks with different inclinations in the XZ plane.
- Keyword:
- Cluster, Dynamic pressure pulse, THEMIS, SuperMag, Magnetosphere, MMS, and Intermagnet
- Citation to related publication:
- (to be submitted) Vidal-Luengo, S. E., Moldwin, M. B. (2021). Shock Inclination Effects in Preliminary Impulse Propagation Observed by Ground-Based Magnetometers and the Heliophysics System Observatory
- Discipline:
- Science
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- Creator:
- Herrick, Etienne M
- Description:
- This data was produced as part of field experiment investigating the extent, drivers, and consequences of functional trait variation in cover crops. Specifically, we studied the role of intraspecific trait variation in explaining interactions between species in cover crop mixtures, and whether and how intraspecific trait variation improves understanding of relationships between functional traits and ecosystem services from cover crops.
- Keyword:
- agroecology, cover crops, functional diversity, functional traits, intraspecific trait variation, ecosystem services, nitrogen, species interactions, and student-friendly
- Citation to related publication:
- Herrick, E., and Blesh, J. (2021) Intraspecific trait variation improves understanding and management of cover crop outcomes. Ecosphere.
- Discipline:
- Science
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- Creator:
- MacEachern, Mark P; Sun, Gordon H; Chen, Stephanie W; Wang, Jing
- Description:
- The dataset includes all citations considered for inclusion in the systematic review. The citations are accessible in Endnote (Clarivate), as well as through the primary citation export files from each database. The literature search strategies are included for reproducibility and transparency purposes. See the published methods for more information.
- Keyword:
- Tracheostomy, Decannulation, Spinal Cord Injury, Scoping Review, and Literature Searches
- Citation to related publication:
- Gordon H. Sun, Stephanie W. Chen, Mark P. MacEachern & Jing Wang (2020) Successful decannulation of patients with traumatic spinal cord injury: A scoping review, The Journal of Spinal Cord Medicine, DOI: 10.1080/10790268.2020.1832397
- Discipline:
- Health Sciences
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- Creator:
- Gliske, Stephen V and Stacey, William C
- Description:
- This data repository includes the quantitative features of high frequency, intracranial EEG along with all necessary scripts to reproduce the figures of the accompanying manuscript.
- Keyword:
- high frequency oscillation, HFO, high frequency activity, and epilepsy
- Citation to related publication:
- (under review)
- Discipline:
- Science, Engineering, and Health Sciences
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- Creator:
- Umaña, María Natalia, Zambrano, Jenny, Weemstra, Monique, and Allen, Dave
- Description:
- The objective of this research was to improve our understanding of tree growth from underlying variation in leaf and root functional traits. This knowledge ultimately enhances our knowledge of the above- and belowground processes that are involved in structuring forest communities. To this end, we determine which, how and to what degree (combinations of) leaf and root traits influence growth rates across ten temperate tree species along a soil carbon (C) and N gradient growing at the Big Woods plot at the E.S. George Reserve, Pickney, MI. This plot is part of the Smithsonian Institution's Forest Global Earth Observatory (ForestGEO) global network of forest research sites. https://forestgeo.si.edu/ and This dataset contains data on the leaf and root traits of several individuals from tree species, as well as on the soil properties at the Big Woods plots at the E.S. George Reserve, Pickney, MI. Data were collected in June 2019, and used to explain and predict the growth rates of the trees at Big Woods. [Growth data were obtained from Allen et al., 2019, https://doi.org/10.7302/wx55-kt18]. Each file contains data on leaf traits, root traits, and soil properties. Trait data are presented per individual tree for each of the 10 study species. Soil data are represented per soil sample, with four soil samples collected per subplot throughout the Big Woods plot (see legend, and publication for explanation). Descriptions and units per variable/column are provided in the legend tab in each file.
- Keyword:
- ecology, forests, Michigan, ForestGEO, Big Woods, Roots, Leaves, Tree growth, and Forest soils
- Citation to related publication:
- M. Weemstra, J. Zambrano, D. Allen, MN Umaña. (In press) Tree growth increases through opposing above- and belowground resource strategies. Journal of Ecology. https://doi.org/10.1111/1365-2745.13729
- Discipline:
- Science
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- Creator:
- Yuan, Ye, Currie, William S., Sharp, Sean J. , Martina, Jason P. , and Elgersma, Kenneth J.
- Description:
- 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.
- Keyword:
- wetland, Great Lakes, greenhouse gas, climate change, and ecosystem model
- Citation to related publication:
- 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.
- Discipline:
- Science
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- Creator:
- Vo, Thi and Glotzer, Sharon C.
- Description:
- The goal of this project is to develop a first principle driven approach for predicting the self-assembly behavior of entropically driven crystallization. We first developed a set of mean-field theoretical framework that captures the relevant energetic contributions to the assembly process and then evaluate relevant terms within our framework to determine the excess free energy of formation for each lattice (matlab/octave codes). We then validate theoretical predictions of relevant features like shape and bonding orbitals using standard MD simulations using HOOMD-Blue (simulation scripts). and This research was supported by the Office of the Undersecretary of Defense for Research and Engineering (OUSD(R&E)), Newton Award for Transformative Ideas during the COVID-19 Pandemic, Award number HQ00342010030.
- Keyword:
- Self-Assembly, Entropy, Thermodynamics, Simulations, and Theory
- Citation to related publication:
- Vo, T., & Glotzer, S. C. (2021). Microscopic Theory of Entropic Bonding for Colloidal Crystal Prediction. ArXiv:2107.02081 [Cond-Mat]. http://arxiv.org/abs/2107.02081
- Discipline:
- Science
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- Creator:
- Weng, Andrew, Mohtat, Peyman, Attia, Peter, Less, Greg, Lee, Suhak, and Stefanopoulou, Anna
- Description:
- The goal of this research is to investigate the impact of fast formation protocol on battery lifetime. The dataset has also been used to explore data-driven approaches in battery lifetime estimation (manuscript under review). Source code used to generate the results for this work has been included. The file contents contain a detailed README.md file which describes the organization of the files.
- Citation to related publication:
- Weng et al., Predicting the impact of formation protocols on battery lifetime immediately after manufacturing, Joule (2021), https://doi.org/10.1016/j.joule.2021.09.015
- Discipline:
- Engineering