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- Creator:
- Wen, Ai, Foxman. Betsy, Srinivasan, Usha , Goldberg, Deborah , Marrs, Carl F , Owen, John, Wing, Deborah A., Misra, Dawn , Cronenwett, Anna , Ponnaluri, Sreelatha, Miles-Jay, Arianna, Bucholz, Brigette, and Abbas, Khadija
- Description:
- This is the bacterial DNA data extracted from the gram stain slides. The targeted bacteria genera and species include: Atopobium spp., bacterial vaginosis-associated bacterium (BVAB) types 1, 2 and 3 in the order Clostridiales, Escherichia coli, Gardnerella vaginalis, Group B Streptococcus, Lactobacillus spp., Mobiluncus spp., Mycoplasma spp., and Ureaplasma spp. We also used a primer set for Lactic Acid Bacteria (LAB) that includes lactic acid producing bacteria of the genera Lactobacillus, Pediococcus, Leuconostoc, and Weissella. We calculated the relative proportion of each bacterial taxon using the bacterial copies measured by each specific bacteria primer divided by the total bacterial copies. The limit of detection was 100 copies and readings lower than the limit were considered negative
- Citation to related publication:
- Wen A, Srinivasan U, Goldberg D, Owen J, Marrs CF, Misra D, Wing DA, Ponnaluri S, Miles-Jay A, Bucholz B, Abbas K, Foxman B. Selected vaginal bacteria and risk of preterm birth: an ecological perspective. J Infect Dis. 2014 Apr 1;209(7):1087-94. https://doi.org/10.1093/infdis/jit632. Epub 2013 Nov 22. PMID: 24273044; PMCID: PMC3952673. and Foxman B, Wen A, Srinivasan U, Goldberg D, Marrs CF, Owen J, Wing DA, Misra D. Mycoplasma, bacterial vaginosis-associated bacteria BVAB3, race, and risk of preterm birth in a high-risk cohort. Am J Obstet Gynecol. 2014 Mar;210(3):226.e1-7. https://doi.org/10.1016/j.ajog.2013.10.003. Epub 2013 Oct 4. PMID: 24096128; PMCID: PMC3943817.
- Discipline:
- Health Sciences
-
- Creator:
- Data-Driven Detroit, Goodspeed, Robert, Reference U.S.A., Veinot, Tiffany C., Yan, Xiang, State of Michigan Department of Elections, and Okullo, Dolorence
- Description:
- The Social Environment refers to characteristics of the people and institutions in a census tract, including: 1) Religious organizations (churches and places of worship); and 2) Voter turnout for the 2012 Presidential Election. Coverage for all data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area.
- Keyword:
- Voter Turnout, Religious Institutions, Spatial Measures, and Census Tract Level
- Discipline:
- Health Sciences and Social Sciences
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- Creator:
- Reference USA, City of Detroit, ESRI, Data Driven Detroit, and Veinot, Tiffany C.
- Description:
- Active living resources include spaces and organizations that facilitate physical activity, including 1) park land, 2) recreation areas (including parks, golf courses, amusement parks, beaches and other recreational landmarks); and 3) recreation centers (including gyms, dancing instruction, martial arts instruction, bowling centers, yoga instruction, sports clubs, fitness programs, golf course, pilates instruction, personal trainers, swimming pools, skating rinks, etc.) Coverage for all data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area.
- Keyword:
- Recreation Areas, Park Land, Census tract level, Metropolitan Detroit, Spatial Measures, Recreation Centers, and Michigan
- Discipline:
- Health Sciences, Social Sciences, and Other
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- Creator:
- Wellman, Michael P.
- Description:
- For each game: - file in JSON format with raw payoff data - text file with game-theoretic analysis results
- Discipline:
- Social Sciences
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- Creator:
- Shtull-Leber, Eytan
- Description:
- We present the SAS code used to conduct the data manipulation and analysis for our research on pre-hospital midazolam use before and after RAMPART.
- Keyword:
- emergency medical services, knowledge translation, status epilepticus, benzodiazepines, midazolam, EMS, and Seizure
- Citation to related publication:
- Shtull-Leber E, Silbergleit R, Meurer WJ (2017) Pre-hospital midazolam for benzodiazepine-treated seizures before and after the Rapid Anticonvulsant Medication Prior to Arrival Trial: A national observational cohort study. PLoS ONE 12(3): e0173539. https://doi.org/10.1371/journal.pone.0173539
- Discipline:
- Health Sciences
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- Creator:
- Tsai, Grace and Kuipers, Benjamin
- 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.
- Keyword:
- Robotics and Computer vision
- Citation to related publication:
- 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 https://doi.org/10.1109/IROS.2012.6385735
- Discipline:
- Engineering
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- 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.
- Keyword:
- Pulse Wave Velocity, Blood flow modeling, Hypertension, and Aging
- Citation to related publication:
- Cuomo F, Roccabianca S, Dillon-Murphy D, Xiao N, Humphrey JD, Figueroa CA (2017) Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling. PLoS ONE 12(3): e0173177. https://doi.org/10.1371/journal.pone.0173177
- Discipline:
- Engineering
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- Creator:
- Yang, Bing and Wittkopp, Patricia J
- Description:
- Datafiles and code described in accompanying MS, currently in review
- Keyword:
- regulatory network evolution
- Discipline:
- Science
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- Creator:
- Title, Pascal O. and Bemmels, Jordan B.
- Description:
- The ENVIREM dataset v1.0 is a set of 16 climatic and 2 topographic variables that can be used in modeling species' distributions. The strengths of this dataset include their close ties to ecological processes, and their availability at a global scale, at several spatial resolutions, and for several time periods. The underlying temperature and precipitation data that went into their construction comes from the WorldClim dataset ( www.worldclim.org), and the solar radiation data comes from the Consortium for Spatial Information ( www.cgiar-csi.org). The data are compatible with and expand the set of variables from WorldClim v1.4 ( www.worldclim.org). For more information, please visit the project website: envirem.github.io
- Keyword:
- raster, species distribution modeling, and bioclimatic
- Citation to related publication:
- Title, P. O. and Bemmels, J. B. (2018), ENVIREM: an expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. Ecography, 41: 291-307. http://doi.org/10.1111/ecog.02880
- Discipline:
- Science
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- Creator:
- Meurer, William
- Description:
- Full analytical dataset with labels in SPSS
- Keyword:
- Diagnostic testing
- Discipline:
- Health Sciences