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  1. Evans Old Field Plant Database, 1948-1997

    Work
    Title: Evans Old Field Plant Database, 1948-1997
    Creator: Dr. Francis C. Evans
    Description: The Evans Old Field Plant Database contains FileMaker and Excel files of data collected by Dr. Francis C. Evans during a 50-year study on successional change on Evans Old Field on the Edwin S. George Reserve. Data include plant phenology, location, and abundances observed from 1948 to 1997.
  2. The Bird's Ear View of Space Physics: Audification as a Tool for the Spectral Analysis of Time Series Data

    Work
    Title: The Bird's Ear View of Space Physics: Audification as a Tool for the Spectral Analysis of Time Series Data
    Creator: Zurbuchen, Thomas H.
    Description: Audification Routines in MATLAB and IDL
  3. The Observation and Simulation Dataset for The Response of the Coupled Magnetosphere-Ionosphere System to the 15 August 2015 Solar Wind Dynamic Pressure Enhancement

    Work
    Title: The Observation and Simulation Dataset for The Response of the Coupled Magnetosphere-Ionosphere System to the 15 August 2015 Solar Wind Dynamic Pressure Enhancement
    Creator: Dogacan Su Ozturk
    Description: The rapid increases in solar wind dynamic pressure, termed sudden impulses (SIs), compress Earth’s dayside magnetosphere and strongly perturb the coupled Magnetosphere-Ionosphere (M-I) system. The compression of the dayside magnetosphere launches magnetohydrodynamic (MHD) waves, which propagate down to the ionosphere, changing the Auroral Field Aligned Currents (FACs), and into nightside magnetosphere. The global response to the compression front sweeping through the coupled system is not yet fully understood due to the sparseness of the measurements, especially those with the necessary time resolution to resolve the propagating disturbances. That’s why a study including modeling is necessary. On 15 August 2015 at 7.44 UT, Advanced Composition Explorer measured a sudden increase in the solar wind dynamic pressure from 1.11 nPa to 2.55 nPa as shown in Figure-1. We use the magnetospheric spacecraft in the equatorial magnetosphere to identify the signatures of magnetosphere response to this SI event and examine the interaction of the propagating disturbances with the M-I system. With the increased time resolution of Active Magnetosphere and Polar Electrodynamics Response Experiment (AMPERE), the FAC pattern and intensity change due to SI can also be studied in more depth. We further use measurements from ground based magnetometer stations to increase our tracking capability for the disturbances in the ionosphere and to improve our understanding of their propagation characteristics. This is the first step in a comprehensive multi-point observation and a global magnetohydrodynamic simulation based investigation of the response of the coupled M-I system to sudden impulses.
  4. mTURK diagnostic testing dataset May 2015

    Work
    Title: mTURK diagnostic testing dataset May 2015
    Creator: William J. Meurer, Arjun Meka, and Jon Porath
    Description: Introduction: Diagnostic testing is common in the emergency department. The value of some testing is questionable. The purpose of this study was to assess how varying levels of benefit, risk, and costs influenced an individual’s desire to have diagnostic testing. Methods: A survey through Amazon Mechanical Turk presented hypothetical clinical situations: low risk chest pain and minor traumatic brain injury. Each scenario included three given variables (benefit, risk, and cost), that was independently randomly varied over four possible values (0.1%, 1%, 5%, 10% for benefit and risk and $0, $100, $500, and $1000 for the individual’s personal cost for receiving the test). Benefit was defined as the probability of finding the target disease (traumatic intracranial hemorrhage or acute coronary syndrome). Results: A total of 1000 unique respondents completed the survey. Increasing benefit from 0.1% to 10%, the percent of respondents who accepted a diagnostic test went from 28.4% to 53.1%. [OR: 3.42 (2.57-4.54)] As risk increased from 0.1% to 10%, this number decreased from 52.5% to 28.5%. [OR: 0.33 (0.25-0.44)] Increasing cost from $0 to $1000 had the greatest change of those accepting the test from 61.1% to 21.4%, respectively. [OR: 0.15 (0.11-0.2)] Conclusions: The desire for testing was strongly sensitive to the benefits, risks and costs. Many participants wanted a test when there was no added cost, regardless of benefit or risk levels, but far fewer elected to receive the test as cost increased incrementally. This suggests that out of pocket costs may deter patients from undergoing diagnostic testing with low potential benefit.
  5. Data files for manuscript: "Regulation of STAT5-directed CD4+ T cell lineage commitment by the histone acetyltransferase Myst1"

    Work
    Title: Data files for manuscript: "Regulation of STAT5-directed CD4+ T cell lineage commitment by the histone acetyltransferase Myst1"
    Creator: William F. Carson IV
    Description: Transcriptional accessibility of chromatin is central to guiding CD4+ T cell function through regulation of lineage specific gene expression. Myst1 is a histone acetyltransferase responsible for acetylation of the protein tail of histone 4 at lysine residue 16 (H416ac), resulting in increased transcriptional accessibility and activation of gene transcription. Previous studies have described a role for Myst1 in governing lymphocyte development in the thymus, however the role of Myst1 and H4K16ac in guiding activation of peripheral CD4+ T cells has not been studied. Activation of human and murine CD4+ T cells resulted in upregulation of Myst1 expression, and deletion of Myst1 resulted in changes in proliferative responses to both polyclonal stimulus and exogenous cytokines. Myst1-deficient T cells also exhibited modulations in lineage commitment, with decreased function in TH1/TH2 skewing conditions and increased function in response to TH17-promoting conditions. Regulation of Myst1 function in CD4+ T cells appears governed at least in part by STAT5, as Myst1 expression is regulated by STAT5 expression and DNA binding, and modulations in H4K16ac in Myst1-deficient CD4+ T cells is observable at sites in the promoter regions of lineage specific genes following skewing to the TH1 or TH2 lineage in vitro. Taken together, these results indicate an important role for the STAT5-Myst1 epigenetic axis in governing the activation and effector function of CD4+ T cells.
  6. Optimizing Communication of Emergency Response Adaptive Randomization Clinical Trials to Potential Participants

    Work
    Title: Optimizing Communication of Emergency Response Adaptive Randomization Clinical Trials to Potential Participants
    Creator: William Meurer
    Description: Dataset for analysis in SPSS
  7. Data Supplement: Self-Confirming Price-Prediction Strategies for Simultaneous One-Shot Auctions

    Work
    Title: Data Supplement: Self-Confirming Price-Prediction Strategies for Simultaneous One-Shot Auctions
    Creator: Wellman, Michael P.
    Description: For each game: - file in JSON format with raw payoff data - text file with game-theoretic analysis results
  8. Pre-Hospital Midazolam for Treatment of Status Epilepticus Before and After the Rapid Anticonvulsant Medication Prior to Arrival Trial (RAMPART): A National Observational Cohort Study

    Work
    Title: Pre-Hospital Midazolam for Treatment of Status Epilepticus Before and After the Rapid Anticonvulsant Medication Prior to Arrival Trial (RAMPART): A National Observational Cohort Study
    Creator: Shtull-Leber, Eytan
    Description: We present the SAS code used to conduct the data manipulation and analysis for our research on pre-hopsitla midazolam use before and after RAMPART.
  9. Michigan Indoor Corridor Dataset

    Work
    Title: Michigan Indoor Corridor Dataset
    Creator: Kuipers, Benjamin and Tsai, Grace
    Description: ******Michigan Indoor Corridor 2012 Dataset****** This dataset is made available for research purpose only. Please contact Grace Tsai(gstsai@umich.edu) for any questions or comments. This dataset was used to produce the results in our IROS 2012 paper. If you use the data, please cite the following reference in your publications related to this work: Grace Tsai and Benjamin Kuipers Dynamic Visual Understanding of the Local Environment for an Indoor Navigating Robot International Conference on Intelligent Robots and Systems (IROS'12) October 2012 The dataset contains 4 video sequences acquired with camera mounted on a wheeled vehicle. The camera was set-up so that there was zero tilt and roll angle with respect to the ground. The camera has a fixed height (0.47 m) with the ground throughout the video. The intrinsic parameters of the cameras are: Focal length fc = [ 1389.182714 1394.598277 ] Principal point cc = [ 672.605430 387.235803 ] The distortion of the camera has been corrected. For each video sequences, an estimated camera pose in each frame of the video is provided in the file pose.txt. Each line in the file looks like: <frame index> <x (pose)> <y (pose)> <theta (pose)> Note the camera poses provided here are estimated by using an occupancy grid mapping algorithm with a laser range finder to obtain the robot pose. The dataset provides a ground truth labeling for all the pixels every 10 frames for each video. The labels of each frame is stored as a 2D matrix in a .mat file. The filename of each .mat file corresponds to the image frame. The labels can be interpreted as followed: -2 -> ceiling plane -1 -> ground plane >0 -> walls The labels of the walls are illustrated in a .pdf figure. Note the figure is only a illustration graph, not an actual floor plan.
  10. Effects of Age-Associated Regional Changes in Aortic Stiffness on Human Hemodynamics Revealed by Computational Modeling

    Work
    Title: Effects of Age-Associated Regional Changes in Aortic Stiffness on Human Hemodynamics Revealed by Computational Modeling
    Creator: Figueroa, C. Alberto
    Description: Magnetic resonance angiography (MRA) of the aorta of a 30 yo healthy volunteer, segmented and discretized using the software CRIMSON (www.crimson.software). Additionally, models corresponding to virtually-aged aortic geometries at ages: 40, 60, and 75.