Search Constraints
Search Results
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Neighborhood Effects : Community Characteristics and Health in Metropolitan Detroit
Creator: Yan, Xiang (Jacob), Veinot, Tiffany C, Data Driven Detroit, Clarke, Phillipa J., Goodspeed, Robert, Gomez-Lopez, Iris N., and Okullo, Dolorence 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 -
Raw Data - CCL2 enhances macrophage inflammatory responses via miR-9 mediated downregulation of the ERK1/2 phosphatase Dusp6
Creator: Carson IV, William F. Description: Raw data and analysis files for the figures corresponding to the manuscript submission entitled "CCL2 enhances macrophage inflammatory responses via miR-9 mediated downregulation of the ERK1/2 phosphatase Dusp6" -
Statistics and Visualization of Point-Patterns
Creator: Stoev, Stilian and Hu, Weifeng Description: Many data sets come as point patterns of the form (longitude, latitude, time, magnitude). The examples of data sets in this format includes tornado events, origins/destination of internet flows, earthquakes, terrorist attacks and etc. It is difficult to visualize the data with simple plotting. This research project studies and implements non-parametric kernel smoothing in Python as a way of visualizing the intensity of point patterns in space and time. A two-dimensional grid M with size mx, my is used to store the calculation result for the kernel smoothing of each grid points. The heat-map in Python then uses the grid to plot the resulting images on a map where the resolution is determined by mx and my. The resulting images also depend on a spatial and a temporal smoothing parameters, which control the resolution (smoothness) of the figure. The Python code is applied to visualize over 56,000 tornado landings in the continental U.S. from the period 1950 - 2014. The magnitudes of the tornado are based on Fujita scale. -
Data files for manuscript: "THE STAT4/MLL1 EPIGENETIC AXIS REGULATES THE ANTIMICROBIAL FUNCTIONS OF MURINE MACROPHAGES"
Creator: Carson, William F. IV Description: Data files pertaining to the manuscript entitled: "THE STAT4/MLL1 EPIGENETIC AXIS REGULATES THE ANTIMICROBIAL FUNCTIONS OF MURINE MACROPHAGES" -
Improvement of Mars surface snow albedo modeling in LMD Mars GCM with SNICAR
Creator: Singh, Deepak Description: This includes data for all the plots and maps I created for my paper publication entitled "Improvement of Mars surface snow albedo modeling in LMD Mars GCM with SNICAR". -
The Sharing Economy in Computing: A Systematic Literature Review
Creator: Hecht, Brent , Dillahunt, Tawanna R , Wheeler, Earnest, Zhu, Haiyi, Cheng, Hao Fei, and Wang, Xinyi Description: The sharing economy has quickly become a very prominent subject of research in the broader computing literature and the in human–computer interaction (HCI) literature more specifically. When other computing research areas have experienced similarly rapid growth (e.g. human computation, eco-feedback technology), early stage literature reviews have proved useful and influential by identifying trends and gaps in the literature of interest and by providing key directions for short- and long-term future work. In this paper, we seek to provide the same benefits with respect to computing research on the sharing economy. Specifically, following the suggested approach of prior computing literature reviews, we conducted a systematic review of sharing economy articles published in the Association for Computing Machinery Digital Library to investigate the state of sharing economy research in computing. We performed this review with two simultaneous foci: a broad focus toward the computing literature more generally and a narrow focus specifically on HCI literature. We collected a total of 112 sharing economy articles published between 2008 and 2017 and through our analysis of these papers, we make two core contributions: (1) an understanding of the computing community’s contributions to our knowledge about the sharing economy, and specifically the role of the HCI community in these contributions (i.e. what has been done) and (2) a discussion of under-explored and unexplored aspects of the sharing economy that can serve as a partial research agenda moving forward (i.e. what is next to do). -
Survey of How Primary Care Providers Approach Iron Deficiency Anemia and Celiac Disease
Creator: Saini, Sameer D Description: See attached survey and codebook -
Marroquíes Bajos Bioarchaeological Project
Creator: Beck, Jess Description: These data include skeletal and dental inventories, assessments of skeletal and dental pathology, and the age and sex of individuals buried at Necropolis 1, Necropolis 2, and Necropolis 4 at the Copper Age site of Marroquíes Bajos. They are shared here in accordance with the NSF Data Management Plan associated with Doctoral Dissertation Improvement Grant BCS-1440017. -
The ethical and professional use of social media in surgery - A review of the literature
Creator: Bennett, Katelyn G MD, Preminger, Aviva MD, MacEachern, Mark P MLIS, 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.