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- Creator:
- Zhu, Jialei, Penner, Joyce E., Yu, Fangqun, Sillman, Sanford, Andreae, Meinrat O., and Coe, Hugh
- Description:
- The dataset contains the Fortran programs applied in the latest CESM/IMPACT model as well as the data created from this model, which are used in the referenced paper.
- Keyword:
- Organic nucleation and Radiative forcing
- Discipline:
- Science
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- Creator:
- Lee, Kyu Han
- Description:
- Data include variables used to run accelerated failure time models examining the association between the nose/throat microbiome and 1) symptom duration, 2) shedding duration, and 3) time to infection. Certain individual participant data have been excluded due to identifiability concerns. Data also include the oligotype count table and taxonomic classifications.
- Keyword:
- Influenza and Microbiome
- Discipline:
- Health Sciences
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- Creator:
- Ozturk, Dogacan S
- Description:
- The modeling research conducted to produce this dataset focuses on the solar wind dynamic pressure drop events and how they affect the Earth's intrinsically coupled Magnetosphere, Ionosphere and Thermosphere systems. This study specifically focuses on the 11 June 2017 event, where the solar wind dynamic pressure dropped significantly following a period of higher pressure. We model the response to this pressure drop using University of Michigan Space Weather Modeling Framework ( http://csem.engin.umich.edu/tools/swmf/). The simulation results were created using BATS-R-US and GITM models. The observational data required for model comparisons were taken from OMNI ( https://omniweb.gsfc.nasa.gov) and CDAWeb ( https://cdaweb.gsfc.nasa.gov/sp_phys/) Databases.
- Keyword:
- GITM, BATS-R-US, Solar wind dynamic pressure, Magnetosphere-Ionosphere-Thermosphere, and MHD
- Discipline:
- Science
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- Creator:
- Lee, Kyu Han, Foxman, Betsy, and Gordon, Aubree
- Description:
- Data include variables used to run mixed effects models examining the association between the nose/throat microbiome and influenza virus infection. Certain individual participant data have been excluded due to identifiability concerns. Data also include the oligotype count table and taxonomic classifications. and Curation Notes: Readme updated Nov. 29, 2018 with context for oligotype and taxonomy files, and citation to associated article.
- Keyword:
- Influenza and Microbiome
- Discipline:
- Health Sciences
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- Creator:
- Brennan, Jonathan R.
- Description:
- These files contain the raw data and processing parameters to go with the paper "Hierarchical structure guides rapid linguistic predictions during naturalistic listening" by Jonathan R. Brennan and John T. Hale. These files include the stimulus (wav files), raw data (matlab format for the Fieldtrip toolbox), data processing paramters (matlab), and variables used to align the stimuli with the EEG data and for the statistical analyses reported in the paper.
- Keyword:
- linguistics, syntax, language, and eeg
- Discipline:
- Social Sciences
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- Creator:
- Figueroa, C. Alberto
- Description:
- This information provides the data and commands to manually setup the computational simulations used in the PLOS ONE paper 'Patient-specific modeling of right coronary circulation vulnerability post-liver transplant in Alagille’s syndrome' using CRIMSON (CARDIOVASCULAR INTEGRATED MODELLING & SIMULATION) a prototype simulation environment developed under the support of the European Research Council (( http://www.crimson.software/)., Note that a Windows version of the CRIMSON flowsolver is provided as part of the CRIMSON Windows installer, but you will need a very powerful Windows computer to run these simulations, as the models used in the present work are extremely computationally-demanding. It is recommended that you use a Linux version of the CRIMSON flowsolver on a high-performance computer., Option 1 (ready-to-use files to immediately start the simulation): 1. Please unzip the Ready-to-use files. 2. Copy the folders of each of the three conditions to the high performance computer. 3. In addition to different codes used, each folder provides the boundary conditions applied in the simulations described in the manuscript (e.g. LPN parameters). To run the 3D simulations for each condition simply launch the it using the CRIMSON flowsolver. In addition, the solver.inp file can be modified to run a 0D "real-time simulation" (please open solver.inp with a text editor and modify line 4 "Simulate in Purely Zero Dimensions:" to "True")., Option 2 (using the MITK files): 1. Please download and install Crimson software ( http://www.crimson.software/). 2. Please unzip the MITK files and the Ready-to-use files. 3. From amongst the provided MITK files, load the MITK file of interest to CRIMSON (using the MITK files, additional changes can be made to the computational model in case the user wants to explore different settings/boundary conditions e.g. change the vascular wall properties, introducing a change in the geometry to create a virtual stenosis). 3. Navigate to the tree in the "Data Manager" panel and select the "Pulmonaries", "CRIMSON SOLVER" and then "Solver study 3D" items, in the described order. 4. In the right hand panel select the "CRIMSON Solver setup" tab and scroll down the right hand bar until to find the "Setup Solver" box; click to output the simulation files (faceInfo.dat, geombc.dat.1, multidomain.dat, netlist_surface.dat,numstart.dat, presolver folder, solver.inp, restart.0.1). 5. Copy and replace the geombc.dat.1 and restart.0.1 generated by CRIMSON for each individual condition to the respective unziped folder in the Ready-to-use file (discard the remaining files that were output by CRIMSON). Note that if you have not changed anything about the model (e.g. vascular wall properties), then doing this will produce restart.0.1 and geombc.dat.1 files which are identical to the ready-to-use versions. 6. Finally copy each Condition folder to the high performance computer and simply launch the simulation using the CRIMSON flowsolver., and For technical queries please contact crimson-users@googlegroups.com. --October 2018.
- Discipline:
- Health Sciences and Engineering
-
- Creator:
- Danko, Melissa
- Description:
- This eportfolio was created for the Gateway course of the Sweetland Minor in Writing to provide an opportunity for students to reflect on their growing identities as writers, as captured in their text-based and multimodal compositions produced over the Gateway semester. The title of the work contains the pseudonym created for the study while the creator field lists the student's given name to allow proper attribution for their work. The eportfolio is collected here as an artifact in the Sweetland Writing Development Study, which has been published as Developing Writers in Higher Education: A Longitudinal Study (University of Michigan Press, 2019). To learn more about this study, please see the epublication: https://doi.org/10.3998/mpub.10079890), and to learn more about the Minor in Writing program and the eportfolio prompts, please see Appendix 2a ( https://doi.org/10.3998/mpub.10079890.cmp.1) to the publication.
- Keyword:
- eportfolio , gateway, sitesucker , website, and file directory
- Discipline:
- Humanities
-
- Creator:
- Mitchell, Michael
- Description:
- This eportfolio was created for the Gateway course of the Sweetland Minor in Writing to provide an opportunity for students to reflect on their growing identities as writers, as captured in their text-based and multimodal compositions produced over the Gateway semester. The title of the work contains the pseudonym created for the study while the creator field lists the student's given name to allow proper attribution for their work. The eportfolio is collected here as an artifact in the Sweetland Writing Development Study, which has been published as Developing Writers in Higher Education: A Longitudinal Study (University of Michigan Press, 2019). To learn more about this study, please see the epublication https://doi.org/10.3998/mpub.10079890, and to learn more about the Minor in Writing program and the eportfolio prompts, please see Appendix 2a ( https://doi.org/10.3998/mpub.10079890.cmp.1) to the publication.
- Keyword:
- eportfolio , gateway , sitesucker , website , and file directory
- Discipline:
- Humanities
-
- Creator:
- MacEachern, Mark and Muzyk, Andrew
- Description:
- The systematic review explores the role of the emergency department in naloxone distribution and harm reduction strategies associated with opioid use.
- Keyword:
- Opioid use, Systematic review, Emergency department, Literature searches, and Naloxone
- Discipline:
- Health Sciences
-
- Creator:
- MacEachern, Mark P MLIS, Bennett, Katelyn G MD, Preminger, Aviva MD, Berlin, Nicolas MD, and Vercler, Christian J MD
- Description:
- The dataset includes the reproducible search strategies for all literature databases searched during the review, the key articles used to generate relevant search terms and test the effectiveness of the searches, the Endnote library that has all citations considered for inclusion, a flow chart describing the screening process, and the screening forms used for inclusion and exclusion.
- Keyword:
- Plastic surgery, Professionalism, Surgery, and Social media
- Discipline:
- Health Sciences
-
Transmission of Oral microbiome and Sequencing
User Collection- Creator:
- Lee, Kyu Han
- Description:
- De-identified participant data from household transmission study of influenza in Nicaragua Oligotype count table and taxonomic classifications
- Keyword:
- Influenza and Microbiome
- Discipline:
- Health Sciences
2Works -
- Creator:
- Moser, Carol, Schoenebeck, Sarita Y., and Resnick, Paul
- Description:
- This work investigates what features e-commerce sites use to encourage impulse buying and what tools consumers desire to curb their online spending. We present supplementary material for two studies: (1) a systematic content analysis of 200 top e-commerce websites in the U.S. and (2) a survey of online impulse buyers (N=151). Files include: (1) Study 1 Code book for content analysis of websites (2) Study 1 CSV data file resulting from the content analysis (3) Study 1 PDFs (N=200) of e-commerce websites analyzed (4) Study 2 Online survey questionnaire (5) Study 2 Survey code book for free response questions
- Discipline:
- Social Sciences
-
TCC Engine Collection
User Collection- Creator:
- Schiffmann, Philipp, Reuss, David L, and Sick, Volker
- Description:
- This Collection is a compilation of data measured in the TCC engine at the University of Michigan, Department of Mechanical Engineering, Quantitative Laser Diagnostics Laboratory. The posted Work Deposits are never changed. However, this collection will be expanded with additional Work Deposits as new experimental data become available. The intent of the collection is to provide a comprehensive experimental data set from the TCC-III engine, for fundamental discovery research on in-cylinder flow and spark-ignited combustion. Also, to enable in-depth support for CFD development and validation. The collection includes data files of in-cylinder flowvelocity and flame imaging, as well as engine and system geometry needed to set up 1-D and CFD simulations. and README for TCCIII_Collection: https://umich.box.com/v/Collection-README-rev20180202
- Keyword:
- internal combustion engine, TCC III engine, optical engine, CFD validation data, motored engine, turbulence in engines, cyclic variability, laser imaging data, particle image velocimetry, PIV, in-cylinder flow, and OH chemiluminescence
4Works -
- Creator:
- Yan, Xiang (Jacob), Clarke, Phillipa J., Okullo, Dolorence, Goodspeed, Robert, Data Driven Detroit, Gomez-Lopez, Iris N., and Veinot, Tiffany C
- Description:
- This collection was produced as part of the project, “A ‘Big Data’ Approach to Understanding Neighborhood Effects in Chronic Illness Disparities.” The Investigators for the project are Tiffany Veinot, Veronica Berrocal, Phillipa Clarke, Robert Goodspeed, Daniel Romero, and VG Vinod Vydiswaran from the University of Michigan. The study took place from 2015-2016, with funding from the University of Michigan’s Social Sciences Annual Institute, MCubed, and the Sloan and Moore Foundations. Contact: Tiffany Veinot, MLS, PhD Office: 3443 North Quad Phone: 734/615-8281 Email: tveinot@umich.edu
- Keyword:
- Food Environment, Health Status, Employment, Health Care Resources, Neighborhood Safety, Healthcare Utilization, Transportation, Census tract level, Information and Education Environment, Spatial Measures, Detroit, Active Living Resources, Social Environment, Demographics, Community Health, and Housing
6Works -
- Creator:
- Moyer, Cheryl A
- Description:
- Data reflect the knowledge, attitudes, and beliefs of health care providers regarding neonatal near-misses in Neonatal Intensive Care Units (NICUs) in southern Ghana.
- Keyword:
- qualitative methods, neonatal mortality, neonatal near-misses, and developing country
- Discipline:
- Health Sciences
-
- Creator:
- Mason, Lacey A., Riseng, Catherine M., Layman, Andrew J., and Jensen, Robert
- Description:
- Wind exposure is a key physical driver of coastal systems in aquatic environments influencing circulation and wave dynamics. A measure of wind exposure is fetch, the distance over which wind can travel across open water. In large lake systems, such as the Laurentian Great Lakes, estimating fetch has proved to be difficult due to their vast size and complex topobathymetry. Here we describe the development of two spatially discrete indicators of exposure to provide a more accurate indicator of influence of wind exposure in the nearshore of the Laurentian Great Lakes. We summarized wind data from offshore buoys and leveraged existing tools to calculate effective fetch and relative exposure index (effective fetch scaled by mean wind speed) at a 30 m grid cell resolution. We validated these models by comparing our exposure maps to the U.S. Army Corps of Engineers Wave Information Studies models and found general agreement. These exposure maps are available for public download for the years 2004-2014.
- Keyword:
- GLAHF, Great Lakes, waves, fetch, REI, wind exposure, and geospatial
- Discipline:
- Science
-
- Creator:
- Tye, Alexander R, Wolf, Aaron S, and Niemi, Nathan A
- Description:
- Detrital zircon age distributions provide robust insights into past sedimentary systems, but these age distributions are often complex and multi-peaked, with sample sizes too small to confidently resolve population distributions. This limited sampling hinders existing quantitative methods for comparing detrital zircon age distributions, which show systematic dependence on the sizes of compared samples. The proliferation of detrital zircon studies motivates the development of more robust quantitative methods. We present the first attempt, to our knowledge, to infer probability model ensembles (PMEs) for samples of detrital zircon ages using a Bayesian method. Our method infers the parent population age distribution from which a sample is drawn, using a Monte Carlo approach to aggregate a representative set of probability models that is consistent with the constraints that the sample data provide. Using the PMEs inferred from sample data, we develop a new estimate of correspondence between detrital zircon populations called Bayesian Population Correlation (BPC). Tests of BPC on synthetic and real detrital zircon age data show that it is nearly independent from sample size bias, unlike existing correspondence metrics. Robust BPC uncertainties can be readily estimated, enhancing interpretive value. When comparing two partially overlapping zircon age populations where the shared proportion of each population is independently varied, BPC results conform almost perfectly to expected values derived analytically from probability theory. This conformity of experimental and analytical results permits direct inference of the shared proportions of two detrital zircon age populations from BPC. We provide MATLAB scripts to facilitate the procedures we describe.
- Keyword:
- provenance, statistics, zircon, Bayesian, detrital, and density estimation
- Discipline:
- Science
-
- Creator:
- Blesh, Jennifer and King, Alison E.
- Description:
- This dataset contains three data files used in: King, A.E. and J. Blesh, 2017. Crop rotations for increased soil carbon: perenniality as a guiding principle. Ecological Applications. There are also three corresponding metadata files. The file “CRMA 2017 Main.csv” contains data for the control and treatment rotations used to construct pairwise comparisons for meta-analysis, response ratios calculated for soil organic carbon concentration, and change in carbon input. The dataset also includes management, soil, and other environmental characteristics for each site. The file “CRMA 2017 Diversity x Nitrogen.csv” contains data used to test whether N fertilizer inputs mediated the effect of functional diversity on SOC concentrations. The file “CRMA Annual grain.csv” contains data used to test for effects of crop rotation species diversity (one vs. two species, or two vs. three species) on SOC concentrations and C input (i.e., for the “grain-only” rotations). The dataset also includes management, soil, and other environmental characteristics for each site. The corresponding metadata files: “CRMA 2017 Main_metadata.csv”, “CRMA 2017 Diversity x Nitrogen_metadata.csv”, and “CRMA Annual grain _metadata.csv” provide a detailed description of all variables in each dataset. Note: On Jan 12, 2018 the following information was added to the three metadata files: the name of the data file the metadata refers to, an explanation as to the meaning of blank cells in the data file, a full citation to the paper where the author describes her findings and contact information for the author.
- Keyword:
- soil carbon, functional diversity, meta-analysis, and cropping system
- Discipline:
- Science
-
- Creator:
- Pearce, Alexa L.
- Description:
- This dataset accompanies a study that seeks to contribute to a clearer understanding of the discovery ecosystem in academic research libraries. Using historical literature as a case study, extensive citation analysis is employed to both reveal characteristics of secondary historical literature as well as to test a broad disciplinary discovery environment that includes six specific search platforms. By enhancing our understanding of where and how specific types of resources are –or are not—discoverable, as the case may be, this study can provide evidence to better inform the appropriate role and placement of various search platforms in a user’s process. This citation analysis drew upon all secondary literature that was cited in the American Historical Review (AHR) during a six-year period, from 2010 through 2015. The AHR is the official publication of the American Historical Association (AHA) and, as stated on its website, has served as “the journal of record for the historical profession in the United States since 1895.” Additionally, the AHR represents all subfields of history in its research articles and reviews of new scholarship. For this study, the author gathered citations from research articles only, excluding reviews. For the purposes of testing the library discovery environment, the author aimed to include citations that a researcher would be likely to identify by using library research tools, as opposed to archival finding aids. Recognizing that some tools included in this study, such as JSTOR and Historical Abstracts, do not index archival sources, the author decided to focus on published and secondary materials. All citations to archival sources, government information, and other unpublished manuscript materials were excluded. Additionally, citations to newspaper and general or popular press articles published prior to 1900 were excluded. Citations to entire periodicals, as opposed to articles, were also excluded. Books from all date ranges were included. Citations to non-scholarly newspaper and magazine articles published after 1900 were included. Citations to published primary sources were also included in the population of citations, as one may reasonably expect to locate them in a research library setting. The resulting population comprised 22,572 citations. After separating out duplicate citations, the total number was 19,937. Using a random number generator, the de-duplicated list of citations was re-ordered in order to select a random sample of 400, which affords a confidence level of 95% and a confidence interval of 5. The first step in analysis was to characterize each citation according to format, publication date, and language. Secondly, the author searched for all citations in the sample in the 6 different search platforms listed above. The primary question for each database included in the study was how comprehensively it represented the population of AHR citations, as represented by the random sample selected for this study. In order for a given citation to count as present in a particular database, it had to be represented in the format in which it was cited. For example, if a search for a cited book turned up only a dissertation, with the same author and very similar title, the analysis found that the citation was not present. For book chapters cited with authors and titles, it was not necessary for chapters to have their own records in order to be counted as present but it was necessary for them to be discernible among search results as chapters, such as in a table of contents listing. In order to expedite the search process, the author searched Historical Abstracts and America: History and Life simultaneously on the EBSCO platform. For all of the platforms except Google Scholar, the author performed advanced searches, entering both title and author information for each citation. All searching took place between February and May of 2017. The results presented here reflect the content available to search in each platform at the time of investigation.
- Keyword:
- discovery, history, secondary literature, information retrieval, reference analysis, citation analysis, library science, university libraries, and research libraries
- Discipline:
- Social Sciences
-
- Creator:
- MacEachern, Mark P
- Description:
- The dataset represents the complete, reproducible search strategies for all literature databases searched during the systematic review. The Endnote file and the Endnote import files contain all citations considered for inclusion in the review.
- Keyword:
- addiction, nursing, systematic review, education, and substance use
- Discipline:
- Health Sciences