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- Creator:
- Benjamin Leffel
- Description:
- Data were gathered to test three hypotheses on the impact economic growth has on environmental conditions in urban areas. The three hypotheses are: 1. Income will be associated with reductions in PM2.5, PM10, NO2 and SO2. 2. Public Administration GVA will be associated with reductions in PM2.5, PM10, NO2 and SO2. 3. Urban density will be associated with reductions in PM2.5, PM10, NO2 and SO2. More information about the research and the data can be found in: Benjamin Leffel, Nikki Tavasoli, Brantley Liddle, Kent Henderson & Sabrina Kiernan (2021) Metropolitan air pollution abatement and industrial growth: Global urban panel analysis of PM10, PM2.5, NO2 and SO2, Environmental Sociology, DOI: 10.1080/23251042.2021.1975349.
- Keyword:
- global cities, environment, urban, air pollution, income, and Urban Sustainability Research Group
- Citation to related publication:
- Benjamin Leffel, Nikki Tavasoli, Brantley Liddle, Kent Henderson & Sabrina Kiernan (2021) Metropolitan air pollution abatement and industrial growth: Global urban panel analysis of PM10, PM2.5, NO2 and SO2, Environmental Sociology, DOI: 10.1080/23251042.2021.1975349
- Discipline:
- Social Sciences
- Title:
- Data for "Metropolitan air pollution abatement & industrial growth: Global urban panel analysis of PM2.5, PM10, SO2 and NO2"
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- Creator:
- Hawes, Jason K, Johnson, Rebecca, Payne, Lindsey, Ley, Christian, Grady, Caitlin A., Domenech, Jennifer, Evich, Carly D., Kanach, Andrew, Koeppen, Allison, Roe, Kristen, Caprio, Audrey, Puente Castro, Jessica, LeMaster, Paige, and Blatchley, Ernest R. III
- Description:
- Global service-learning brings students, instructors, and communities together to support learning and community development across borders. In doing so, global service-learning practitioners act at the intersection of two fields: service-learning and international development. Critical scholarship in all three domains has highlighted the tensions inherent in defining and tracking “success” in community development. In response, service-learning and international development have turned considerable attention to documenting project characteristics, also known as best practices or success factors, which support equitable, sustainable community development. This database accompanies the article "Global Service-Learning - A systematic review of principle and practice," which presents a systematic synthesis of these fields’ best practices in the context of global service-learning. We propose 18 guiding principles for project design which aim to support practitioners in creating and maintaining justice-oriented, stakeholder-driven projects. This database contains the necessary reference material to trace the path of our analysis from abstract review to thematic synthesis. It also contains the final results of the thematic synthesis. To respect copyright restrictions, we have not made PDFs of all articles analyzed publicly accessible. Please contact the authors of this database or of the original article if you seek to access one of the articles we reference. For more information, see: Hawes, J. K., et al. “Global Service-Learning - A Systematic Review of Principle and Practice.” International Journal of Research on Service-Learning and Community Engagement 10, no. 1 (2022).
- Keyword:
- service-learning, international development, global service-learning, best practices, equitable development, higher education, and community engagement
- Citation to related publication:
- Hawes, J. K. (2021). Global Service-Learning—A systematic review of principle and practice. International Journal of Research on Service-Learning and Community Engagement, 10(1). https://doi.org/10.37333/001c.31383
- Discipline:
- Other and International Studies
- Title:
- Data for: Global Service-Learning - A systematic review of principle and practice
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- Creator:
- Bhaumik, Deesha
- Description:
- This cross-sectional analysis included 584 participants in the Center for Oral Health Research in Appalachia cohort 1 (COHRA1). We sequenced the V4 region of the 16S rRNA of supragingival plaque from 185 caries-active and 565 caries-free teeth using the Illumina MiSeq platform. Sequences were filtered using the R DADA2 package and assigned taxonomy using the Human Oral Microbiome Database ( http://www.homd.org/).
- Keyword:
- Amplicon Sequence Variant
- Citation to related publication:
- In press
- Discipline:
- Health Sciences
- Title:
- Plaque microbiome in caries-active and caries-free teeth by dentition: ASV Data Table
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- Creator:
- Ding, J, Moore, TY, and Gan, Z
- Description:
- Jerboas (Jaculus jaculus) are bipedal hopping rodents that frequently transition between gaits (running, hopping, and skipping) throughout their entire speed range. It has been hypothesized that these non-cursorial bipedal gait transitions are likely to enhance their maneuverability and predator evasion ability. However, it is difficult to use the underlying dynamics of these locomotion patterns to predict gait transitions due to the large number of degrees of freedom expressed by the animals. To this end, we used empirical jerboa kinematics and dynamics to develop a unified Spring Loaded Inverted Pendulum model with defined passive swing leg motions. The simulated trajectories from the model precisely matched the experimental data. Jerboas were observed to apply different neutral swing leg angles during locomotion. By investigating the gait structure of the model with coupled and uncoupled neutral swing leg, we found two set of mechanism may explain the frequent gait transitions of jerboas.
- Keyword:
- jerboa, legged locomotion, gait transition, Legged Robots, Dynamics, Bipedal locomotion, and Non-cursorial locomotion
- Citation to related publication:
- Ding, Moore, Gan (submitted) A template model explains jerboa gait transitions across a broad range of speeds. Frontiers in Bioengineering And Biotechnology
- Discipline:
- Engineering and Science
- Title:
- A template model explains jerboa gait transitions across a broad range of speeds
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Bounce-Averaged Quasi-Linear Diffusion Model Simulation Input/Output on Mars’ Crustal Magnetic Field
- Creator:
- Alexander Shane
- Description:
- To study the effect of whistler mode waves on the superthermal electron velocity space at Mars, a numerical model was built to solve the bounce-averaged quasi-linear diffusion equation on a crustal field. This dataset includes the input and output variables to this model for the simulations performed in Shane and Liemohn, 2022. The studies using this dataset were conducted by Alex Shane in the Climate and Space Sciences and Engineering Department at the University of Michigan. This research was supported by the National Aeronautics and Space Administration (NASA) Grant NNX16AQ04G to the University of Michigan and the Rackham Predoctoral Fellowship.
- Keyword:
- Mars, Electron, and Crustal Fields
- Citation to related publication:
- Shane, A. D. and Liemohn, M W., (2022) Modeling Wave-Particle Interactions with Photoelectrons on the Dayside Crustal Fields of Mars, Geophysical Research Letters, In revision.
- Discipline:
- Science
- Title:
- Bounce-Averaged Quasi-Linear Diffusion Model Simulation Input/Output on Mars’ Crustal Magnetic Field
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- Creator:
- Zongyu Li, Yuni K. Dewaraja, and Jeffrey A. Fessler
- Description:
- Current methods for patient-specific voxel-level dosimetry in radionuclide therapy suffer from a trade-off between accuracy and computational efficiency. Monte Carlo (MC) radiation transport algorithms are considered the gold standard for voxel-level dosimetry but can be computationally expensive, whereas faster dose voxel kernel (DVK) convolution can be sub-optimal in the presence of tissue heterogeneities. Furthermore, the accuracies of both these methods are limited by the spatial resolution of the reconstructed emission image. To overcome these limitations, this paper considers a single deep convolutional neural network (CNN) with residual learning (named DblurDoseNet) that learns to produce dose-rate maps while compensating for the limited resolution of SPECT images. We took the novel approach of constructing a convolutional neural network with residual learning to handle the accuracy-efficiency tradeoff while compensating for the limited resolution of SPECT images. We then test our CNN on clinically relevant phantoms and patients undergoing Lu-177 DOTATATE therapy in our clinic. Our network demonstrated superior results than Monte Carlo, the current gold standard for voxel dosimetry, but only takes a fraction of time. Thus, the DblurDoseNet has the potential for real-time patient-specific dosimetry in clinical treatment planning due to its demonstrated improvement in accuracy, resolution, noise and speed over the DVK/MC approaches. Matlab is needed to access the phantoms and Python (with Numpy package installed) is needed to access the DVKs.
- Keyword:
- Deep learning, Voxel-level dosimetry, Lu-177 therapy, SPECT resolution effects
- Citation to related publication:
- "DblurDoseNet: A Deep Residual Learning Network for Voxel Radionuclide Dosimetry Compensating for SPECT Imaging Resolution" by Zongyu Li, Jeffrey A. Fessler, Justin K. Mikell, Scott J. Wilderman and Yuni K. Dewaraja. Accepted by Medical Physics, 2021. DOI: 10.1002/mp.15397
- Discipline:
- Health Sciences
- Title:
- Virtual patient phantom dataset for DblurDoseNet
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- Creator:
- Sun, Hu, Ren, Jiaen, Chen, Yang, and Zou, Shasha
- Description:
- Our research focuses on providing a fully-imputed map of the worldwide total electron content with high resolution and spatial-temporal smoothness. We fill in the missing values of the original Madrigal TEC maps via estimating the latent feature of each latitude and local time along the 2-D grid and give initial guess of the missing regions based on pre-computed spherical harmonics map. The resulting TEC map has high imputation accuracy and the ease of reproducing. and All data are in HDF5 format and are easy to read using the h5py package in Python. The TEC map is grouped in folders based on years and each file contains a single-day data of 5-min cadence. Each individual TEC map is of size 181*361.
- Keyword:
- Total Electron Content, Matrix Completion, VISTA, Spherical Harmonics, and Spatial-Temporal Smoothing
- Citation to related publication:
- Sun, H., Hua, Z., Ren, J., Zou, S., Sun, Y., & Chen, Y. (2020). Matrix Completion Methods for the Total Electron Content Video Reconstruction. arXiv preprint arXiv:2012.01618. and Zou, S., Ren, J., Wang, Z., Sun, H., & Chen, Y. (2021). Impact of Storm-Enhanced Density (SED) on Ion Upflow Fluxes During Geomagnetic Storm. Frontiers in Astronomy and Space Sciences, 162.
- Discipline:
- Science
- Title:
- VISTA TEC database
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- Creator:
- Valeriy Tenishev
- Description:
- Here we present an investigation of the variability of Venus' extended oxygen corona. For that, we employ a combination of a fluid model VTGCM for simulating Venus' ionosphere and thermosphere and kinetic model AMPS. We have found excellent agreement of the model results with PVO observations of the corona when the modeling is done assuming the solar maximum conditions, which corresponds to the solar conditions during the observations. We also found that the oxygen density strongly depends on the solar conditions and varies by order of magnitude over a solar cycle. That explains why the extended oxygen corona was observed only at the solar maximum. The result presented in this paper will be used in a later study of the planet's interaction with the ambient solar wind, where the corona model defines the mass loading coefficient.
- Keyword:
- Venus, VTGCM, AMPS, and Venus extended corona
- Discipline:
- Science
- Title:
- A 3D Physics-based Particle Model of the Venus Oxygen Corona: Variations with Solar Activity
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- Creator:
- Shi, Yining
- Description:
- Statistical study of Swarm observations and two Earth magnetic field models: IGRF-12 and CHAOS-6 categorized by Kp*10 index. Data analysis done on https://viresclient.readthedocs.io/en/latest/ JupyterLab.
- Discipline:
- Engineering
- Title:
- Swarm Residual Data
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- Creator:
- University of Michigan, Division of Herpetology, Davis Rabosky, Alison R, Larson, Joanna G, Moore, Talia Y, and Curlis, John David
- Description:
- This dataset includes dorsal and ventral photographs of Neotropical snakes collected in the Peruvian Amazon. These data were collected to survey and examine the diversity in color pattern evolution in Neotropical snakes.
- Keyword:
- snake, color, serpentes, and Peru
- Citation to related publication:
- (work in progress, not yet submitted)
- Discipline:
- Science
- Title:
- Neotropical snake photographs
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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 of Multipod robots with 6,8,10 and 12 legs. The data is stored in .csv.gz files, one file for each robot morphology. Details of how to run the processing code on the raw dataset to generate the processed files found here, as well as example code for loading the data found here, are in the README. This dataset is self contained and can be used on its own without running any of the provided code.
- 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, 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 BIRDS Lab Multipod robot motion tracking data - RAW data, doi:10.7302/m05a-0d90
- Discipline:
- Engineering and Science
- Title:
- BIRDS Lab Multipod robot motion tracking data - processed data and code
-
- 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:
- Engineering and Science
- Title:
- BIRDS Lab Multipod robot motion tracking data - VIDEOS dataset
-
- 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:
- Engineering and Science
- Title:
- BIRDS Lab Multipod robot motion tracking data - RAW dataset
-
- Creator:
- BIRDS Lab, U. Michigan
- Description:
- 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
- Keyword:
- robot, multilegged, and steering
- Citation to related publication:
- BIRDS Lab, U. BigAnt v6 robot motion tracking data - RAW dataset [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/024q-kk06, Revzen, S., & Guckenheimer, J. (2008). Estimating the phase of synchronized oscillators. Phys. Rev. E, 78, 051907. http://dx.doi.org/10.1103/PhysRevE.78.051907, and Dan Zhao and Shai Revzen 2020 Bioinspir. Biomim. 15 045001 https://doi.org/10.1088/1748-3190/ab84c0
- Discipline:
- Engineering
- Title:
- BigAnt v6 robot motion tracking data - processed dataset
-
- Creator:
- University of Michigan Museum of Paleontology and CTEES
- Description:
- 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.
- Keyword:
- Paleontology, Fossil, CT, Carpolestidae, UMMP, University of Michigan Museum of Paleontology, Paleocene, CTEES, and ed7da511-d04c-fd32-09ef-0ea552966545
- Discipline:
- Science
- Title:
- CT Data of UMMP VP 85286, Carpodaptes stonleyi left dentary I/1-2, P/4
-
- Creator:
- Yadav, Rajeev, Widom, Julia R, Chauvier, Adrien, and Walter, Nils G
- Description:
- These data were generated to study the conformational dynamic of fluoride riboswitch as an isolated RNA and in presence of RNA polymerase at transcript lengths.
- Keyword:
- Fluoride riboswitch, smFRET, and conformational dynamics
- Citation to related publication:
- Yadav, R., Widom, J. R., Chauvier, A. & Walter, N.G. (2021). An anionic ligand snap-locks a long-range interaction in a magnesium-folded riboswitch. Nat. Commun. DOI: TBA.
- Discipline:
- Science
- Title:
- Single-molecule microscopy data for "An anionic ligand snap-locks a long-range interaction in a magnesium-folded riboswitch"
-
- Creator:
- R. Paul Acosta
- Description:
- In this study, the state-of-the-art isotope-enable global climate model (iCESM1.2) simulations of the middle Miocene and the early Eocene and Cenomanian were used to comprehensively investigate the climate forcing of paleogeography, Andean paleoelevation, global pCO2, and vegetation on the South American continent.
- Keyword:
- South America , Hydroclimate, Water isotope system, and Global climate modeling
- Discipline:
- Science
- Title:
- Paleoclimate simulations of the middle Miocene, early Eocene and middle Cretaceous
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- Creator:
- Adler, Jeremy
- Description:
- Data comparing the Simplified Endoscopic Mucosal Assessment for Crohn's Disease (SEMA-CD) from video recordings of colonoscopies to SEMA-CD scoring of their corresponding colonoscopy reports from pediatric patients with Crohn's disease.
- Keyword:
- Crohn's disease and colonoscopy
- Discipline:
- Health Sciences
- Title:
- Simplified endoscopic mucosal assessment of Crohn's disease
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- Creator:
- Folz, Jeff
- Description:
- This data set includes four zipped files each containing unprocessed cell images from a single cell line collected as raw data, the scripts used to process these images and tabular files with the processed data outputs. This data set supports the PLOS ONE publication, "Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning."
- Discipline:
- Science
- Title:
- Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning
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- Creator:
- Revzen, Shai
- Description:
- This repository contains both the data and python3 code that reads this data and reproduces the relevant figures. The code depends on NumPy >1.17 and matplotlib >3.1 and was tested on python 3.8
- Keyword:
- locomotion, slipping, low Reynolds number, walking, and slithering
- Discipline:
- Engineering and Science
- Title:
- Walking Like a Worm : dataset and figures