Search Constraints
Search Results
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NPHA Monthly Reports
Title: NPHA Monthly Reports Creator: Lubin, Mark Description: Launched in spring 2017, the National Poll on Healthy Aging (NPHA) grew out of a strong interest in aging-related issues among many members of the U-M Institute for Healthcare Policy and Innovation, which brings together more than 500 faculty who study health, health care and the impacts of health policy. In addition to IHPI and AARP, the poll receives support from Michigan Medicine, the U-M academic medical center. The poll is designed as a recurring, nationally representative household survey of U.S. adults, which allows it to assess topical issues in a timely fashion. Each month (give or take), the NPHA releases a press release, article and other materials with help to elevate the voices of the public, inspire future research, and inform national dialogue in a timely fashion. U-M researchers will also evaluate the poll data for further insights to be shared via academic channels. -
Large-eddy simulation (LES) model simulations
Title: Large-eddy simulation (LES) model simulations Creator: Steiner, Allison and Li, Yang Description: Case 2 of Li et al. (2016) LES simulations for the DISCOVER-AQ 11 campaign, including three different grid resolutions (96, 197 and 320 grid cell resolutions), plus simulations at the 192 grid resolution with and without aqueous chemistry -
Large-eddy simulation of BVOC during the 2011 DISCOVER-AQ
Title: Large-eddy simulation of BVOC during the 2011 DISCOVER-AQ Creator: Li, Yang and Steiner, Allison Description: Case 1: A fair weather condition; Case 2: A convective event; Case 3: A polluted event with high temperature and convection -
Understanding Ecosystem Services Adoption by Natural Resource Managers and Research Ecologists: Survey Data
Title: Understanding Ecosystem Services Adoption by Natural Resource Managers and Research Ecologists: Survey Data Creator: Schaeffer, Jeff, Engel, Daniel D, Low, Bobbi S, and Evans, Mary Anne Description: This dataset was compiled as an attempt to understand how natural resource managers and research ecologists in the Great Lakes region integrate the ecosystem services (ES) paradigm into their work. The following text is the adapted abstract from a thesis associated with this data. Ecosystem services, or the benefits people obtain from ecosystems, have gained much momentum in natural resource management in recent decades as a relatively comprehensive approach to provide quantitative tools for improving decision-making and policy design. However, to date we know little about whether and how natural resource practitioners, from natural resource managers to research ecologists (hereafter managers and ecologist respectively), have adopted the ES paradigm into their respective work. Here, we addressed this knowledge gap by asking managers and ecologists about whether and how they have adopted the ES paradigm into their respective work. First, we surveyed federal, state, provincial and tribal managers in the Great Lakes region about their perception and use of ES as well as the relevance of specific services to their work. Although results indicate that fewer than 31% of the managers said they currently consider economic values of ES, 79% of managers said they would use economic information on ES if they had access to it. Additionally, managers reported that ES-related information was generally inadequate for their resource management needs. We also assessed managers by dividing them into identifiable groups (e.g. managers working in different types of government agencies or administrative levels) to evaluate differential ES integration. Overall, results suggest a desire among managers to transition from considering ES concepts in their management practices to quantifying economic metrics, indicating a need for practical and accessible valuation techniques. Due to a sample of opportunity at the USGS Great Lakes Science Center (GLSC), we also evaluated GLSC research ecologists’ integration of the ES paradigm because they play an important role by contributing requisite ecological knowledge for ES models. Managers and ecologists almost unanimously agreed that it was appropriate to consider ES in resource management and also showed convergence on the high priority ES. However, ecologists appeared to overestimate the adequacy of ES-related information they provide as managers reported the information was inadequate for their needs. This divergence may reflect an underrepresentation of ecological economists in this system who can aid in translating ecological models into estimates of human well-being. As a note, both CSV files in this dataset have two tabs: 1) the raw data, and 2) an index describing each column. The dataset for the research ecologists has had some data removed as it could be considered personally identifiable information due to the small sample size in that population. The surveys associated with both datasets have also been included in PDF format. -
Marroquíes Bajos Bioarchaeological Project
Title: 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. -
Survey of How Primary Care Providers Approach Iron Deficiency Anemia and Celiac Disease
Title: Survey of How Primary Care Providers Approach Iron Deficiency Anemia and Celiac Disease Creator: Saini, Sameer D Description: See attached survey and codebook -
Regional Climate Model simulations
Title: Regional Climate Model simulations Creator: Steiner, Allison and Bryan, Alex Description: Included are RegCM simulations driven by three different types of boundary conditions 1. ERA - present day only (1979-2005) 2. GFDL - present day (1978-2005) and future (2041-2065) 3. HadGEM - present day (1978-2005) and future (2041-2065) Each directory has three files with monthly averaged values: ATM: includes 4D (t,z,y,x) atmospheric fields (pressure, winds, temperature, specific humidity, cloud water) and some 3D fields (t,y,x) precipitation, soil temperature, soil water SRF: includes 3D (t,y,x) surface variables (surface pressure, 10m winds, drag coefficient, surface temperature, 2m air temperature, soil moisture, precipitation, runoff, snow, sensible heat flux, latent heat flux, surface radiation components (SW, LW), PBL height, albedo, sunshine duration) RAD: includes 4D radiative transfer variables (SW and LW heating, TOA fluxes, cloud fraction, ice water content) clm_h0 files: CLM land surface files, includes canopy variables, surface fluxes, soil moisture by layers, etc. " -
Data from: Functional traits in cover crop mixtures: biological nitrogen fixation and multifunctionality
Title: Data from: Functional traits in cover crop mixtures: biological nitrogen fixation and multifunctionality Creator: Blesh, Jennifer Description: This dataset contains three data files used in: Blesh, J. 2017. Functional traits in cover crop mixtures: biological nitrogen fixation and multifunctionality. Journal of Applied Ecology. There are also three corresponding metadata files. The file “Ecosystem_functions_soil_species.xls” contains data organized by farm, treatment, replicate block, and species combining the fall and spring sampling time points. These data include aboveground biomass, nitrogen and carbon content, and biological nitrogen fixation for the plant species. The dataset also includes measured soil characteristics for each farm site. The file “Ecosystem_functions_soil_treatment.xls” contains data organized by farm, treatment, and replicate block for the fall and spring sampling time points combined. These data include aboveground biomass, nitrogen and carbon content, and biological nitrogen fixation aggregated by treatment. The dataset also includes measured soil characteristics for each farm site. The file “Traits_unstandardized.xls” contains individual plant trait data, a subset of which were used to calculate an index of functional diversity after they were standardized to have zero mean and unit variance. These data are organized by farm, treatment, replicate block, and species. The corresponding metadata files: “Ecosystem_functions_soil_species_metadata.xls”, “Ecosystem_functions_soil_treatment_metadata.xls”, and “Traits_unstandardized_metadata.xls” provide a detailed description of all variables in each dataset and any abbreviations used. -
JGR-Space-2012-Data
Title: JGR-Space-2012-Data Creator: Moldwin, Mark B Description: Tab delimited file containing the records of all papers published in JGR-Space Physics in 2012. The records were pulled from Thomsen-Reuters ISI-Web-of-Science on June 3, 2016 including citations. Gender was identified independently by the creator of the file. -
The Sharing Economy in Computing: A Systematic Literature Review
Title: The Sharing Economy in Computing: A Systematic Literature Review Creator: Cheng, Hao Fei, Hecht, Brent , Dillahunt, Tawanna R , Wheeler, Earnest, Wang, Xinyi, and Zhu, Haiyi 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). -
Characteristics of Informal Caregivers who Provide Transportation Assistance to Older Adults
Title: Characteristics of Informal Caregivers who Provide Transportation Assistance to Older Adults Creator: Molnar, Lisa J and Eby, David W Description: Data can contained in an Excel spreadsheet formatted such that each row is a separate participant and each column is a separate question. This file is called: EbyEtAl-TransportCaregiver. A data dictionary that gives the text for each question and the response categories mappings are contained in another Excel Spreadsheet. This file is called: EbyEtAl-TransportCaregiverDictionary. The text of the survey, the development of weights, and response rate calculations can be found in the Deep Blue report discussed previously. -
Gelada foraging ecology in the Simien Mountains, Ethiopia
Title: Gelada foraging ecology in the Simien Mountains, Ethiopia Creator: Jarvey, Julie C Description: This includes data used for analysis for the publication: "Graminivory and fallback foods: Annual diet profile of geladas (Theropithecus gelada) living in the Simien Mountains National Park, Ethiopia". -
Literature Search Strategies for "Effectiveness of anti-osteoporotic drugs to prevent secondary fragility fractures: systematic review and meta-analysis"
Title: Literature Search Strategies for "Effectiveness of anti-osteoporotic drugs to prevent secondary fragility fractures: systematic review and meta-analysis" Creator: MacEachern, Mark P Description: The dataset represents the complete search strategies for all literature databases searched during the systematic review. The Endnote library that contains all citations is also included. -
TCC Engine Collection
Title: TCC Engine Collection Creator: Reuss, David L, Schiffmann, Philipp, 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. -
TCCIII Fired Full View
Title: TCCIII Fired Full View Creator: Reuss, David L, Sick, Volker, and Schiffmann, Philipp Description: PLEASE NOTE THAT THIS DATA SET IS 20 GB AND MAY TAKE AWHILE TO DOWNLOAD. WE ARE CURRENTLY WORKING ON UPGRADING DEEP BLUE DATA'S DATA CAPABILITIES IN TRANSFERRING LARGE DATA SETS. and This archive contains data files from spark-ignited homogenous combustion internal combustion engine experiments. Included are two-dimensional two-component velocity fields from various measurement planes with maximized field of view, in-cylinder pressure measurements, external pressure and temperature data, as well as details on the geometry of the optical engine to enable setups of simulation configurations. Fired operation was with stoichiometric propane air, 40kPa MAP, at 1300 RPM. -
TCCIII Fired Spark Plug Region
Title: TCCIII Fired Spark Plug Region Creator: Reuss, David L, Sick, Volker, and Schiffmann, Philipp Description: PLEASE NOTE THAT THIS DATA SET IS CURRENTLY UNAVAILABLE AS WE ARE UPGRADING DEEP BLUE DATA'S DATA CAPABILITIES IN TRANSFERRING LARGE DATA SETS. PLEASE CONTACT DR. VOLKER SICK FOR ACCESS TO THIS DATA SET AT: vsick@umich.edu and This archive contains data files from spark-ignited homogenous combustion internal combustion engine experiments. Included are two-dimensional two-component velocity fields acquired in a small, high-resolution field of view near the spark plug, and images of hydroxyl radical chemiluminescence recording the early flame-kernel growth. Included are in-cylinder pressure measurements, external pressure and temperature data, as well as details on the geometry of the optical engine to enable setups of simulation configurations. Included are tables of one-per-cycle parameters for each test with methane or propane at stoichiometric, dilute limit, lean limit, and rich limit, operation conducted at 40kPa and 1300 RPM. -
TCCIII Motored Full View
Title: TCCIII Motored Full View Creator: Reuss, David L, Sick, Volker, and Schiffmann, Philipp Description: This archive contains data files from motored internal combustion engine experiments. Included are two-dimensional two-component velocity fields from four measurement planes with maximized field of view. in-cylinder pressure measurements, external pressure and temperature data, as well as details on the geometry of the optical engine to enable setups of simulation configurations. Motored operating conditions include 40kPa and 90kPa MAP, 800 and 1300 RPM. and PLEASE NOTE THAT THIS DATA SET IS CURRENTLY UNAVAILABLE AS WE ARE UPGRADING DEEP BLUE DATA'S DATA CAPABILITIES IN TRANSFERRING LARGE DATA SETS. PLEASE CONTACT DR. VOLKER SICK FOR ACCESS TO THIS DATA SET AT: vsick@umich.edu -
Subjective Effect Reports of Food
Title: Subjective Effect Reports of Food Creator: Schulte, Erica M Description: Abstract Objectives The current study investigates which foods may be most implicated in addictive-like eating by examining how nutritionally diverse foods relate to loss of control consumption and various subjective effect reports. Subjective effect reports assess the abuse liabilities of substances and may similarly provide insight into which foods may be reinforcing in a manner that triggers an addictive-like response for some individuals. Design Cross-sectional. Setting Online community. Participants 507 participants (n = 501 used in analyses) recruited through Amazon MTurk. Measurements Participants (n = 501) self-reported how likely they were to experience a loss of control over their consumption of 30 nutritionally diverse foods and rated each food on five subjective effect report questions that assess the abuse liability of substances (liking, pleasure, craving, averseness, intensity). Hierarchical cluster analytic techniques were used to examine how foods grouped together based on each question. Results Highly processed foods, with added fats and/or refined carbohydrates, clustered together and were associated with greater loss of control, liking, pleasure, and craving. The clusters yielded from the subjective effect reports assessing liking, pleasure, and craving were most similar to clusters formed based on loss of control over consumption, whereas the clusters yielded from averseness and intensity did not meaningfully differentiate food items. Conclusion The present work applies methodology used to assess the abuse liability of substances to understand whether foods may vary in their potential to be associated with addictive-like consumption. Highly processed foods (e.g., pizza, chocolate) appear to be most related to an indicator of addictive-like eating (loss of control) and several subjective effect reports (liking, pleasure, craving). Thus, these foods may be particularly reinforcing and capable of triggering an addictive-like response in some individuals. Future research is warranted to understand whether highly processed foods are related to these indicators of abuse liability at a similar magnitude as addictive substances. -
Literature Search Strategies for "Substance Use Education in United States Schools of Pharmacy: A Systematic Review of the Literature"
Title: Literature Search Strategies for "Substance Use Education in United States Schools of Pharmacy: A Systematic Review of the Literature" Creator: MacEachern, Mark P Description: The dataset represents the complete search strategies for all literature databases searched during the systematic review. The Endnote and Excel files of all citations considered for inclusion in the review are also included. -
Improvement of Mars surface snow albedo modeling in LMD Mars GCM with SNICAR
Title: 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 KSU-UMD Dataset for Benchmarking for Audio Forensic Algorithms
Title: The KSU-UMD Dataset for Benchmarking for Audio Forensic Algorithms Creator: Hafiz Malik and Muhammad Khurran Khan, King Saud University Description: Details of the microphone used for data collection, acoustic environment in which data was collected, and naming convention used are provided here. 1 - Microphones Used: The microphones used to collect this dataset belong to 7 different trademarks. Table (1) illustrates the number of used Mics of different trademarks and models. Table 1: Trademarks and models of Mics Mic Trademark Mic Model # of Mics Shure SM-58 3 Electro-Voice RE-20 2 Sennheiser MD-421 3 AKG C 451 2 AKG C 3000 B 2 Neumann KM184 2 Coles 4038 2 The t.bone MB88U 6 Total 22 2- Environment Description: A brief description of the 6 environments in which the dataset was collected is presented here: (i) Soundproof room: a small room (nearly 1.5m × 1.5m × 2m), which is closed and completely isolated. With an exception of a small window in the front side of the room which is made of glass, all the walls of the room are made of wood and covered by a layer of sponge from the inner side, and the floor is covered by carpet. (ii) Class room: standard class room (6m × 5m × 3m). (iii) Lab: small lab (4m × 4m × 3m). All the walls are made of glasses and the floor is covered by carpet. The lab contains 9 computers. (iv) Stairs: is in the second floor. The place of recording is 3m × 5m (v) Parking: is the college parking. (vi) Garden: is an open space outside the buildings. 3- Naming Convention: This set of rules were followed as a naming convention to give each file in the dataset a unique name: (i) The file name is 19 characters long, and consists of 5 sections separated by underscores. (ii) The first section is of 3 characters indicates the Microphone trademark. (iii) The second section of 4 characters indicates the microphone model as in table (2). (iv) The third section of 2 characters indicates a specific microphone within a set of microphones of the same trademark and model, since we have more than one microphone of the same trademark and model. (v) The fourth section of 2 characters indicates the environment, where Soundproof room --> 01 Class room --> 02 Lab --> 03 Stairs --> 04 Parking --> 05 Garden --> 06 (vi) The fifth section of 2 characters indicates the language, where Arabic --> 01 English --> 02 Chinese --> 03 Indonesian --> 04 (vii) The sixth section of 2 characters indicates the speaker. Table 2: Microphones Naming Criteria Original Mic Trademark and model --> Naming Convenient Shure SM-58 --> SHU_0058 Electro-Voice RE-20 --> ELE_0020 Sennheiser MD-421 --> SEN_0421 AKG C 451 --> AKG_0451 AKG C 3000 B --> AKG_3000 Neumann KM184 --> NEU_0184 Coles 4038 --> COL_4038 The t.bone MB88U --> TBO_0088 For example: SEN_0421_02_01_02_03 is an English file recorded by speaker number 3 in the soundproof room using microphone number 2 of Sennheiser MD-421 -
Dizziness Scenario Randomized Intervention
Title: Dizziness Scenario Randomized Intervention Creator: Meurer, William J and Kerber, Kevin A Description: Data set -
Abbott Piette Bolivia 2014 Dataset
Title: Abbott Piette Bolivia 2014 Dataset Creator: Abbott Patricia A and Piette John Description: Contained within is a subset of the larger dataset collected in La Paz, Bolivia in 2014. This data contains the analytic dataset (cross-sectional/descriptive) that includs the PACIC, Morisky, PHQ8, AUDIT, and a subset of socidemographic characteristics for NCD patients in La Paz. -
Big Ship Data: Pre- and Post-Processed Spatiotemporal Data for 2006-2014 for Great Lakes Air Temperature, Dew Point, Surface Water Temperature, and Wind Speed
Title: Big Ship Data: Pre- and Post-Processed Spatiotemporal Data for 2006-2014 for Great Lakes Air Temperature, Dew Point, Surface Water Temperature, and Wind Speed Creator: Fries, Kevin J. Description: This data is in support of the WRR paper by Fries and Kerkez: Big Ship Data: Using Vessel Measurements to Improve Estimates of Temperature and Wind Speed on the Great Lakes Code is also provided -
Influence of invasive quagga mussels, phosphorus loads, and climate on spatial and temporal patterns of productivity in Lake Michigan: A biophysical modeling study
Title: Influence of invasive quagga mussels, phosphorus loads, and climate on spatial and temporal patterns of productivity in Lake Michigan: A biophysical modeling study Creator: Rowe, Mark D. Description: Animation files show the 12-month “baseline” simulations for 2000, 2005, and 2010 (see Table 1 of the paper cited above). temp_1_animation.wmv: Surface temperature Chl_1_animation.wmv: Surface chlorophyll-a PO4_1_animation.wmv: Surface total dissolved phosphorus Detritus_1_animation.wmv: Surface detritus concentration (particulate organic carbon, excluding phytoplankton and zooplankton). Zooplankton_1_animation.wmv: Surface zooplankton carbon concentration MRATION_1_animation.wmv: Rate of food assimilated by mussels, according to the product f_a F_A P in Equation 2, expressed as mg phytoplankton carbon per mg mussel biomass carbon per day × 100%. BIO_M_1_animation.wmv: Simulated mussel biomass in mg ash-free-dry-mass m^-2 -
Atmospheric CO2 time series derived from CESM NEP and GEOS-Chem pulse response CO2
Title: Atmospheric CO2 time series derived from CESM NEP and GEOS-Chem pulse response CO2 Creator: Keppel-Aleks, Gretchen and Liptak, Jessica Description: -CESM_bdrd _NEP_pulse_response_CO2.nc contains time series from the ‘FullyCoupled’ simulation -CESM_bdrcs_NEP_pulse_response_CO2.nc contains time series from the ‘NoRad’ simulation -CESM_bdrd_pftcon_NEP_pulse_response_CO2.nc contains data from the ‘NoLUC’ simulation -CESM_bdrd_Regional_Fluxes_NEP.nc contains NEP time series for each terrestrial source region from the FullyCoupled simulation - CESM_bdrcs_Regional_Fluxes_NEP.nc contains NEP time series for each terrestrial source region from the CESM ‘NoRad’ simulation - CESM_bdrd_pftcon_Regional_Fluxes_NEP.nc contains NEP time series for each terrestrial source region from the CESM ‘NoLUC’ simulation The 3-letter station IDs, latitudes, and longitudes of the sample locations are: ID Latitude (ºN) Longitude (ºE) 1. BRW 71.3 203.4 2. ZEP 78.9 11.9 3. SHM 52.7 174.1 4. THD 41.1 235.8 5. TAP 36.7 126.1 6. BMW 32.3 295.1 7. MLO 19.5 204.4 8. POCN15 15.0 215.0 9. ALT 82.5 297.5 10. BHD -41.4 174.9 11. EIC -27.2 250.6 12. GMI 13.4 144.7 13. HUN 47.0 16.7 14. IZO 28.3 343.5 15. LLN 23.5 120.9 16. NAT -5.8 324.7 17. WLG 36.3 100.9 18. HBA -75.6 333.8 19. BKT -0.20 100.3 20. UUM 44.5 111.1 21. CGO -40.7 144.5 22. SDZ 40.7 117.1 23. ASC -8.0 345.6 24. SEY -4.7 55.5 25. POCS20 -20.0 186.0 26. POCS35 -35.0 180.0 27. PSA -64.9 296.0 28. SYO -69.0 39.6 29. CHR 1.7 202.8 30. KEY 25.7 279.8 31. BAL 55.4 17.2 32. HPB 47.8 11.0 33. LMP 35.5 12.6 34. NMB -23.6 15.0 35. RPB 13.2 300.2 36. WIS 30.0 35.1 37. POCS10 -10.0 199.0 38. POCN10 10.0 211.0 39. MID 28.2 182.6 40. SMO -14.2 189.4 41. SPO -90.0 335.2 The terrestrial CO2 source region abbreviations are: 1. NBNA 2. SBNA 3. ETNA 4. WTNA 5. CNAM 6. AMZN 7. EASA 8. WESA 9. EURO 10. SAME 11. MDAF 12. AFRF 13. SOAF 14. EABA 15. WEBA 16. SOBA 17. CNAS 18. SEAS 19. EQAS 20. AUST 21. GNLD 22. ATCA -
European Folk Costumes Excel Spreadsheet and Access Database
Title: European Folk Costumes Excel Spreadsheet and Access Database Creator: James, David A. Description: An Excel spreadsheet listing the information recorded on each of 18,686 costume designs can be viewed, downloaded, and explored. All the usual Excel sorting possibilities are available, and in addition a useful filter has been installed. For example, to find the number of designs that are Frieze Type #1, go to the top of the frieze type 2 column (column AS), click on the drop-down arrow and unselect every option box except True (i.e. True should be turned on, all other choices turned off). Then in the lower left corner, one reads “1111 of 18686 records found”. Much more sophisticated exploration can be carried out by downloading the rich and flexible Access Database. The terms used for this database were described in detail in three sections of Deep Blue paper associated with this project. The database can be downloaded and explored. HOW TO USE THE ACCESS DATABASE 1. Click on the Create Cohort and View Math Trait Data button, and select your cohort by clicking on the features of interest (for example: Apron and Blouse). Note: Depending on how you exited on your previous visit to the database, there may be items to clear up before creating the cohorts. a) (Usually unnecessary) Click on the small box near the top left corner to allow connection to Access. b) (Usually unnecessary) If an undesired window blocks part of the screen, click near the top of this window to minimize it. c) Make certain under Further Filtering that all four Exclude boxes are checked to get rid of stripes and circles, and circular buttons, and the D1 that is trivially associated with shoes. 2. Click on Filter Records to Form the Cohort button. Note the # of designs, # of pieces, and # of costumes beside Recalculate. 3. Click on Calculate Average Math Trait Frequency of Cohort button, and select the symmetry types of interest (for example: D1 and D2) . 4. To view the Stage 1 table, click on Create Stage 1 table. To edit and print this table, click on Create Excel (after table has been created). The same process works for Stages 2, 3.and 4 tables. 5. To view the matrix listing the math category impact numbers, move over to a button on the right side and click on View Matrix of Math Category Impact Numbers. To edit and print this matrix, click on Create Excel, use the Excel table as usual. -
Deep Robot Optical Perception (DROP) Lab
Title: Deep Robot Optical Perception (DROP) Lab Description: Datasets collected by DROP Lab. -
Equilibrium configurations of hard polygons near the melting transition
Title: Equilibrium configurations of hard polygons near the melting transition Creator: Joshua A. Anderson, James Antonaglia, Jaime A. Millan, Michael Engel, and Sharon C. Glotzer Description: This dataset was generated for our work "Shape and symmetry determine two-dimensional melting transitions of hard regular polygons". The dataset includes simulation results for 13 different polygons (equilateral triangles through regular tetradecagons and the 4-fold pentille) at a variety of packing fractions near the isotropic fluid to solid phase transition. Each trajectory contains the final 4 frames of each simulation run we conducted at system sizes of over one million particles. For each shape, there is a JSON file that describes the vertices of the polygon and a number of simulation trajectory files in GSD (https://bitbucket.org/glotzer/gsd) format. The trajectory files contain the positions and orientations of all the polygons at each frame, along with the simulation box size. The trajectory file names identify the packing fraction of that simulation run. -
Regional Climate Model Simulations
Title: Regional Climate Model Simulations Creator: Steiner, A.L. Description: Land and water body surfaces play a critical role in hydroclimate by driving the transfer of moisture from the surface reservoir into the atmosphere. At the same time, atmospheric circulation transports moisture into and out of regions. To date, the hydroclimate impacts of the surface relative to large-scale transport and the variability over land and lake surfaces have not been quantified for the Great Lakes region despite known impacts of the lakes on the local climate. Using a Regional Climate Model (RegCM4) driven by three different boundary conditions, we simulate the hydroclimate of the Great Lakes region for a 23-year historical period. Observations and reanalysis products define land-lake-atmosphere feedbacks and are compared with the model. Reanalyses estimate up to 85% of the local precipitation is transported into the region from external sources. Seasonal RegCM4 precipitation biases reflect the biases in advective moisture flux, which depend on synoptic weather patterns such as the placement of troughs and ridges. In contrast with external sources, the land and lake surfaces account for over 30% of summer precipitation. However, RegCM4 underestimates the contribution of the land by 40% due to low evaporation rates as compared to the reanalyses. Observations at three flux towers indicate that evaporation and its drivers vary strongly by vegetation species, yet the lumped land cover description prescribed in the model neglects secondary species. Such species in the Great Lakes region have high evaporation potentials, and their absence in the model may account for the evaporation discrepancies. This highlights the need for greater complexity in the land cover classifications used in regional climate models to better capture land-atmosphere hydroclimate feedbacks. Over the lakes, one model member overestimates convective precipitation caused by enhanced evaporation under warm lake surface temperatures, highlighting the need for accurate representation of lake temperatures in the surface boundary condition. While external moisture sources dominate precipitation patterns, we conclude that the surface plays a substantial role in modifying regional hydroclimate. -
Semantic-Based Document Retrieval Using Spatial Distributions of Concepts
Title: Semantic-Based Document Retrieval Using Spatial Distributions of Concepts Creator: Ruas, Terry L. and Grosky, William I. Description: This dataset was used for a proof-of-concept of fixed lexical chain approach for semantic information retrieval. -
Three-Dimensional Body Shape Manikins of Young Children for Child Restraint Design
Title: Three-Dimensional Body Shape Manikins of Young Children for Child Restraint Design Creator: Jones, Monica L.H. Description: These manikins represent body shape models for children weighing 9 to 23 kg in a seated posture relevant to child restraint design. The design of child restraints is guided in part by anthropometric data describing the distributions of body dimensions of children. However, three-dimensional body shape data have not been available for children younger than three years of age. These manikins will be useful for assessing child accommodation in restraints. The SBSM can also provide guidance for the development of anthropomorphic test devices and computational models of child occupants. The sampled manikins were predicted for a range of torso length and body weight dimensions. The SBSM model was exercised for two torso lengths and nine body weights to obtain 18 body shapes. The 3D shape models can be downloaded in a standard mesh format (PLY). Each body shape is accompanied by predicted landmark locations and standard anthropometric variables. -
A Video-Based Intervention to Improve Belt Fit
Title: A Video-Based Intervention to Improve Belt Fit Creator: Jones, Monica L.H. Description: This study evaluated the performance of a video-based intervention for improving the belt fit obtained by drivers. Previous laboratory studies have demonstrated that some drivers position their seat belts suboptimally. Specifically, the lap portion of the belt may be higher and farther forward relative to the pelvis than best practice, and the shoulder portion of the belt may be outboard or inboard of mid-shoulder. A video was developed to present the most important aspects of belt fit best practices, with emphasis on the lap belt. The video demonstrated how a seat belt should be routed with respect to an individual’s anatomy to ensure a proper fit. The three key belt fit concepts conveyed in the video were: 1) Lap belt low on hips, touching the thighs. 2) Shoulder belt crossing middle of collarbone. 3) Belt snug, as close to bones as possible. Additional context about the ability to achieve to good belt fit, such as opening a heavy coat or adjusting the height adjusters on the B-pillar behind the windows, were also presented. -
Neighborhood effects : Information and Education Environment
Title: Neighborhood effects : Information and Education Environment Creator: Veinot, Tiffany C, Okullo, Dolorence, Clarke, Phillipa J., Reddy, Shruthi, Goodspeed, Robert, Gomez-Lopez, Iris N., and Data Driven Detroit Description: The information and education environment refers to: 1) the presence of information infrastructures such as broadband Internet access and public libraries in a location; 2) a person’s proximity to information infrastructures and sources; 3) the distribution of information infrastructures, sources and in a specific location; and 4) exposure to specific messages (information content) within a specific location. Coverage for all data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area. -
Simulation Parameters used in the Study titled "Efficient Estimation of Binding Free Energies between Peptides and an MHC Class II Molecule Using Coarse-Grained Molecular Dynamics Simulations with a Weighted Histogram Analysis Method"
Title: Simulation Parameters used in the Study titled "Efficient Estimation of Binding Free Energies between Peptides and an MHC Class II Molecule Using Coarse-Grained Molecular Dynamics Simulations with a Weighted Histogram Analysis Method" Creator: Huang, Ming, Wen, Fei, Larson, Ronald G., and Huang, Wenjun Description: We provide the parameters used in Umbrella Sampling simulations reported in our study "Efficient Estimation of Binding Free Energies between Peptides and an MHC Class II Molecule Using Coarse-Grained Molecular Dynamics Simulations with a Weighted Histogram Analysis Method", namely the set positions and spring constants for each window in simulations. Two tables are provided. Table 1 lists the names of the peptides and their corresponding sequences. Table 2 lists the parameters. The abstract of our work is the following: We estimate the binding free energy between peptides and an MHC class II molecule using molecular dynamics (MD) simulations with Weighted Histogram Analysis Method (WHAM). We show that, owing to its more thorough sampling in the available computational time, the binding free energy obtained by pulling the whole peptide using a coarse-grained (CG) force field (MARTINI) is less prone to significant error induced by biased-sampling than using an atomistic force field (AMBER). We further demonstrate that using CG MD to pull 3-4 residue peptide segments while leaving the remain-ing peptide segments in the binding groove and adding up the binding free energies of all peptide segments gives robust binding free energy estimations, which are in good agreement with the experimentally measured binding affinities for the peptide sequences studied. Our approach thus provides a promising and computationally efficient way to rapidly and relia-bly estimate the binding free energy between an arbitrary peptide and an MHC class II molecule. -
Growth factor signaling to mTORC1 by amino acid–laden macropinosomes
Title: Growth factor signaling to mTORC1 by amino acid–laden macropinosomes Creator: Yoshida, Sei and Swanson, Joel A Description: The rapid activation of the mechanistic target of rapamycin complex-1 (mTORC1) by growth factors is increased by extracellular amino acids through yet-undefined mechanisms of amino acid transfer into endolysosomes. Because the endocytic process of macropinocytosis concentrates extracellular solutes into endolysosomes and is increased in cells stimulated by growth factors or tumor-promoting phorbol esters, we analyzed its role in amino acid–dependent activation of mTORC1. Here, we show that growth factor-dependent activation of mTORC1 by amino acids, but not glucose, requires macropinocytosis. In murine bone marrow–derived macrophages and murine embryonic fibroblasts stimulated with their cognate growth factors or with phorbol myristate acetate, activation of mTORC1 required an Akt-independent vesicular pathway of amino acid delivery into endolysosomes, mediated by the actin cytoskeleton. Macropinocytosis delivered small, fluorescent fluid-phase solutes into endolysosomes sufficiently fast to explain growth factor–mediated signaling by amino acids. Therefore, the amino acid–laden macropinosome is an essential and discrete unit of growth factor receptor signaling to mTORC1 -
Neighborhood Effects: Food Environment
Title: Neighborhood Effects: Food Environment Creator: Yan, Xiang (Jacob), Data Driven Detroit, Veinot, Tiffany C., Goodspeed, Robert, Gomez-Lopez, Iris N., and Okullo, Dolorence Description: The food environment is: 1) The physical presence of food that affects a person’s diet; 2) A person’s proximity to food store locations; 3) The distribution of food stores, food service, and any physical entity by which food may be obtained; or 4) A connected system that allows access to food. (Source: https://www.cdc.gov/healthyplaces/healthtopics/healthyfood/general.htm) Data included here concern: 1) Food access; and 2) Liquor access. Spatial Coverage for most data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area, Michigan, USA. See exception for grocery store data below. -
Dataset for Understanding the benefit, risk and cost relationship for patients in the emergency department
Title: Dataset for Understanding the benefit, risk and cost relationship for patients in the emergency department Creator: Meurer, William Description: Full analytical dataset with labels in SPSS -
ENVIREM: ENVIronmental Rasters for Ecological Modeling version 1.0
Title: ENVIREM: ENVIronmental Rasters for Ecological Modeling version 1.0 Creator: Pascal O. Title and Jordan B. Bemmels 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 -
Data and code files for Bing and Wittkopp MBE submission 11/22/16
Title: Data and code files for Bing and Wittkopp MBE submission 11/22/16 Creator: Yang, Bing and Wittkopp, Patricia J Description: Datafiles and code described in accompanying MS, currently in review -
Effects of Age-Associated Regional Changes in Aortic Stiffness on Human Hemodynamics Revealed by Computational Modeling
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. -
Michigan Indoor Corridor Dataset
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. -
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
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. -
Data Supplement: Self-Confirming Price-Prediction Strategies for Simultaneous One-Shot Auctions
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 -
Neighborhood Effects : Community Characteristics and Health in Metropolitan Detroit
Title: 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 -
Field Ecology 2016 Data
Title: Field Ecology 2016 Data Creator: Theresa Ong Description: This is a collection of datasets from Field Ecology 2016. Students and faculty at University of Michigan conduct field problems every Fall semester at the E.S. George Reserve. This is a collection of datasets from the 2016 semester. -
Neighborhood Effects Active Living Resources
Title: Neighborhood Effects Active Living Resources Creator: Data Driven Detroit, Reference USA, City of Detroit, Veinot, Tiffany C., and ESRI 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. -
Neighborhood Effects: Social Environment
Title: Neighborhood Effects: Social Environment Creator: Yan, Xiang, Reference U.S.A., Okullo, Dolorence, Data-Driven Detroit, State of Michigan Department of Elections, Veinot, Tiffany C., and Goodspeed, Robert 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. -
Regulation of Müller Stem Cell Properties: Insights From a Zebrafish Model, Appendix8
Title: Regulation of Müller Stem Cell Properties: Insights From a Zebrafish Model, Appendix8 Creator: Sifuentes, Christopher J Description: Inverse PCR and genome-walking data. -
Regulation of Müller Stem Cell Properties: Insights From a Zebrafish Model, Appendix7
Title: Regulation of Müller Stem Cell Properties: Insights From a Zebrafish Model, Appendix7 Creator: Sifuentes, Christopher J Description: Linkage plots and data for mi2004 mutants.