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- Creator:
- Kort, Eric A, Plant, Genevieve, and Dacic, Natasha
- Description:
- Ensemble of optimized posterior N2O (nitrous oxide) fluxes derived from a Bayesian Inversion framework and in-situ aircraft observations of Iowa in 2021 (May 26, 2021 – June 4, 2021) and 2022 (May 18, 2022 – May 31, 2022) from “Airborne measurements reveal high spatiotemporal variation and the heavy-tail characteristic of nitrous oxide emissions in Iowa,” citation below. For each flight day there (12 in total), there are three separate files that represent fluxes derived for three distinct spatial resolutions. Further details about the ensemble members are provided in Dacic, Plant, & Kort (2024). Citation: Dacic N, Plant G, Kort EA, “Airborne measurements reveal high spatiotemporal variation and the heavy-tail characteristic of nitrous oxide emissions in Iowa,” in revisions for JGR: Atmospheres.
- Keyword:
- nitrous oxide, N2O, agriculture, soil, Iowa
- Citation to related publication:
- Dacic N, Plant G, Kort EA, “Airborne measurements reveal high spatiotemporal variation and the heavy-tail characteristic of nitrous oxide emissions in Iowa,” in revisions for JGR: Atmospheres
- Discipline:
- Science
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- Creator:
- Quirk, Zack J.
- Description:
- This repository is supplemental data (raw data) from my doctoral dissertation (2024). My research focused on how flowering plants respond to changing climates, not only with fossil plants in the geologic past, but also to make predictions on how living flowering plants will respond to human-derived climate change. We can examine these responses by examining functional traits, which are strongly associated with environmental and climatic factors. Studying functional traits in leaves is particularly helpful in this case, because they are a plant’s direct interaction with outside abiotic and biotic influences. I explored these plant-climate interactions in non-woody flowering plants (monocots) and ZIngiberaceae (the ginger family) because they are wildly understudied but have great ecological and agricultural importance. The research portion of my dissertation spanned four chapters (2-5). In Chapter 2, I examined the evolutionary and ecological impacts on a well-known leaf functional trait, vein length per area (VLA) in the entire monocot clade. This work revealed that monocot VLA was more associated with a plant’s environment and its habit (size/form), rather than overall evolutionary history. Chapters 3, 4, and 5 focused on Zingiberaceae. In Chapter 3, I tested leaf functional trait-climate relationships and dicot leaf trait reconstruction methods on fossil Zingiberaceae. I found that methods used to reconstruct leaf area and leaf mass area (important leaf functional traits) in fossil dicots were not comparable for use with Zingiberaceae, and likely other monocots. Leaf venation traits, including VLA and two new traits vein thickness (VT) and distance between veins, were largely driven by changes in temperature, which may provide useful information on past plant-climate interactions. In Chapter 4 I explored leaf functional trait response to elevated temperature and [CO2] in two species of living Zingiberaceae. Venation traits were largely driven by temperature, while stomatal and leaf mass traits were strongly associated with both temperature and [CO2]. This work provided potential implications for how living flowering plants may respond to anthropogenic climate change impacts and possibly offer a plant physiology model for fossil gingers, one that is not attainable with fossils. Lastly in Chapter 5 I focused on plant climate niches across the last 100 million years and explored differences in niche expansion and contraction in woody (Metasequoia sp.) and herbaceous (Zingiberaceae) plants. This work revealed that differences in climate niches are largely due to plant growth and dispersal strategies. My results call into question assumptions made for plant-based paleoclimate reconstruction methods, and recommend further training of these methods with additional plant groups. This dissertation provides new insight on living and fossil plant-climate interactions of monocot flowering plants, and lays the foundation for future research.
- Keyword:
- paleobotany, monocot, leaf, functional trait, and fossil
- Discipline:
- Science
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- Creator:
- Gebarski, Benjamin B. and Becker, Udo
- Description:
- Files are uploaded as text or crystallographic information files (.cif), the standard text file format for representing crystallographic information. These files contain the results for cyclic voltammetry, x-ray absorption spectroscopy, and optimized molecular models for uranium-60 nanocluster (U60) fragments, UO2 complexes, and adsorbates.
- Keyword:
- uranium, U60, electrochemistry, computational, molecular model, and adsorption
- Citation to related publication:
- Electrochemical and computational analysis of the thermodynamics of oxidation/reduction reactions of uranyl peroxide clusters (U60), and the derivation of Pourbaix diagrams for structural and adsorbed species. In process.
- Discipline:
- Science
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- Creator:
- Hoover, Lindzey V
- Description:
- This study investigated psychological, biological/neural, and environmental factors related to adverse food advertising effects on adolescent weight. Participants were asked to complete an fMRI task measuring neural response to food commercials (unhealthy, healthier) and non-food commercials. As part of the larger study, participants also completed demographic questions, self-report measures, behavioral tasks (i.e., food go/no-go task, food delay discounting task, progressive reinforcement paradigm), an ad-libitum food consumption task, and height and weight measures.
- Keyword:
- food advertising, commercials, eating, fast food, adolescents, and fMRI
- Citation to related publication:
- Gearhardt, A. N., Yokum, S., Harris, J. L., Epstein, L. H., & Lumeng, J. C. (2020). Neural response to fast food commercials in adolescents predicts intake. The American journal of clinical nutrition, 111(3), 493–502. https://doi.org/10.1093/ajcn/nqz305
- Discipline:
- Social Sciences
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- Creator:
- Ramos, Marlon D., Yihe, H., Ulrich, T., Gabriel, A. A., and Thomas, A.
- Description:
- This study used three-dimensional, dynamic earthquake simulations to investigate how stress and friction levels on the Cascadia megathrust fault influence the final earthquake size and coastal subsidence patterns from the 1700 A.D. earthquake.
- Discipline:
- Science
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- Creator:
- Chen, Yang and Manchester, Ward IV
- Description:
- GOES_flare_list: contains a list of more than 10,000 flare events. The list has 6 columns, flare classification, active region number, date, start time end time, emission peak time, GOES_B_flare_list: contains time series data of SDO/HMI SHARP parameters for B class solar flares , GOES_MX_flare_list: contains time series data of SDO/HMI SHARP parameters for M and X class solar flares, SHARP_B_flare_data_300.hdf5 and SHARP_MX_flare_data_300.hdf5 files contain time series more than 20 physical variables derived from the SDO/HMI SHARP data files. These data are saved at a 12 minute cadence and are used to train the LSTM model., and B_HARPs_CNNencoded_part_xxx.hdf5 and M_X HARPs_CNNencoded_part_xxx.hdf5 include neural network encoded features derived from vector magnetogram images derived from the Solar Dynamics Observatory (SDO) Helioseismic and Magnetic Imager (HMI). These data files typically contains one or two sequences of magnetograms covering an active region for a period of 24h with a 1 hour cadence. We encode each magnetogram with frames of a fixed size of 8x16 with 512 channels.
- Keyword:
- machine learning, data science, and solar flare prediction
- Citation to related publication:
- Chen, Y., Manchester, W., Hero, A., Toth, G., DuFumier, B. Zhou, T., Wang, X., Zhu, H., Sun, Zeyu, Gombosi, T., Identifying Solar Flare Precursors Using Time Series of SDO/HMI Images and SHARP Parameters, Space Weather, 17, 1404–1426. https://doi.org/10.1029/2019SW002214 and Jiao, Z., Chen, Y., Manchester, W. (2020). Data for Solar Flare Intensity Prediction with Machine Learning Models [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/b07j-bj08
- Discipline:
- Engineering and Science
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- Creator:
- BIRDS Lab U. Michigan
- Description:
- This dataset contains the videos used for https://doi.org/10.7302/m05a-0d90 (the "raw" motion tracking dataset), and is intended to be unpacked into the same directory tree. The data were produced for ARO W911NF-14-1-0573 "Morphologically Modulated Dynamics" and ARO MURI W911NF-17-1-0306 "From Data-Driven Operator Theoretic Schemes to Prediction, Inference, and Control of Systems" to explore the trade-offs between various oscillator coupling models in modeling multilegged locomotion. The data were also used extensively in examining multi-contact slipping, in the studying the influence of number of legs on otherwise identical locomotion patterns, and in the use of geometric mechanics models for multilegged locomotion. Folder and file names encode the meta-data, with names following an informative naming convention documented in the README.
- Keyword:
- phase, multilegged, robot, and locomotion
- Citation to related publication:
- BIRDS Lab U. Michigan. BIRDS Lab Multipod robot motion tracking data - RAW dataset [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/m05a-0d90, Zhao, D. Ph.D. Thesis "Locomotion of low-DOF multi-legged robots" University of Michigan 2021 https://deepblue.lib.umich.edu/handle/2027.42/169985, and Zhao, D. & Revzen, S. Multi-legged steering and slipping with low DoF hexapod robots Bioinspiration & biomimetics, 2020, 15, 045001 https://doi.org/10.1088/1748-3190/ab84c0
- Discipline:
- Science and Engineering
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- Creator:
- BIRDS Lab U. Michigan
- Description:
- These data were produced for ARO W911NF-14-1-0573 "Morphologically Modulated Dynamics" and ARO MURI W911NF-17-1-0306 "From Data-Driven Operator Theoretic Schemes to Prediction, Inference, and Control of Systems" to explore the trade-offs between various oscillator coupling models in modeling multilegged locomotion. The data were also used extensively in examining multi-contact slipping, in the studying the influence of number of legs on otherwise identical locomotion patterns, and in the use of geometric mechanics models for multilegged locomotion. Folder and file names encode the meta-data, with names following an informative naming convention documented in the README.
- Keyword:
- phase, multilegged, robot, and locomotion
- Citation to related publication:
- Zhao, D. & Revzen, S. Multi-legged steering and slipping with low DoF hexapod robots Bioinspiration & biomimetics, 2020, 15, 045001 https://doi.org/10.1088/1748-3190/ab84c0 and Zhao, D. Ph.D. Thesis "Locomotion of low-DOF multi-legged robots" University of Michigan 2021 https://deepblue.lib.umich.edu/handle/2027.42/169985
- Discipline:
- Science and Engineering
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- Creator:
- Hatch, Nan E.
- Description:
- Crouzon FGFR2-C342Y/+ and wild type littermate pups on a BALB/c congenic background were injected with lentivirus expressing TNAP enzyme or phosphate buffered saline shortly after birth. Mice were euthanized 4 weeks after birth for analyses.
- Keyword:
- craniofacial, bone, craniosynostosis, FGFR2, TNAP, mouse model, and development
- Citation to related publication:
- Nam, H. K., Vesela, I., Schutte, S. D., & Hatch, N. E. (2020). Viral delivery of tissue nonspecific alkaline phosphatase diminishes craniosynostosis in one of two FGFR2C342Y/+ mouse models of Crouzon syndrome. PLOS ONE, 15(5), e0234073. https://doi.org/10.1371/journal.pone.0234073
- Discipline:
- Health Sciences