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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:
- Tronson, Natalie C and Tchessalova, Daria
- Description:
- The main goal of this research was to identify potential molecular pathways that contribute to memory dysregulation and decline that persists long after illness or inflammation. We have previously established a subchronic immune challenge model that results in memory impairments months after the inflammatory challenge. This project aimed to determine whether memory impairments were accompanied by transcriptional dysregulation in memory related brain region (the hippocampus). These data show the differential gene expression as log2fold change (and p-value) in males and females 3 months after immune challenge (Supp Tables 1 and 2); after a subsequent immune challenge (Supp Tables 3 and 4); the differential regulation of genes in males and females (Supp Table 5); genes differentially expressed in the hippocampus of males and females at baseline (Supp Table 6) and the differential regulation of those genes in males and females after immune challenge (Supp Tables 7,8).
- Keyword:
- hippocampus, lipopolysaccharide, differential gene expression, RNA sequencing, neuroimmune, sex differences, learning and memory, and inflammation
- Citation to related publication:
- Tchessalova, D., & Tronson, N. C. (2019). Enduring and sex-specific changes in hippocampal gene expression after a subchronic immune challenge. BioRxiv, 566570. https://doi.org/10.1101/566570
- Discipline:
- Science and Health Sciences
- Title:
- Supplemental Data for "Enduring and sex-specific changes in hippocampal gene expression after a subchronic immune challenge"
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- 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
- Citation to related publication:
- Discipline:
- Health Sciences and Social Sciences
- Title:
- Neighborhood Effects: Social Environment
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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
- Citation to related publication:
- Discipline:
- Health Sciences, Other, and Social Sciences
- Title:
- Neighborhood Effects Active Living Resources
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- Creator:
- Meurer, William
- Description:
- Full analytical dataset with labels in SPSS
- Keyword:
- Diagnostic testing
- Citation to related publication:
- Discipline:
- Health Sciences
- Title:
- Dataset for Understanding the benefit, risk and cost relationship for patients in the emergency department
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- Creator:
- Data Driven Detroit, Yan, Xiang (Jacob), Okullo, Dolorence, Gomez-Lopez, Iris N., Veinot, Tiffany C., and Goodspeed, Robert
- 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.
- Keyword:
- Food Deserts, Census tract level, Full-Line Grocery Stores, Modified Retail Food Environment Index (MRFEI), Farmer’s Markets, Spatial Measures, and Fast Food Establishments
- Citation to related publication:
- Discipline:
- Health Sciences, Other, and Social Sciences
- Title:
- Neighborhood Effects: Food Environment
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- Creator:
- Gomez-Lopez, Iris N., Goodspeed, Robert, Reddy, Shruthi, Clarke, Phillipa J., Okullo, Dolorence, Veinot, Tiffany C, 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.
- Keyword:
- Residential Broadband Data Adoption Rates, Census tract level, Broadband Internet Access and Speed, Colleges and Universities, Public Libraries, Spatial Measures, and Schools
- Citation to related publication:
- Discipline:
- Science, Health Sciences, and Social Sciences
- Title:
- Neighborhood effects : Information and Education Environment
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- 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
- Citation to related publication:
- Bell, A.J., Wynn, L.V., Bakari, A., Oppong, S.A., Youngblood, J., Arku, Z., Bockarie, Y., Adu, J., Wobil, P., Plange-Rhule, G., Goka, B., Adanu, R.M., Moyer, C.A., 2018. “We call them miracle babies”: How health care providers understand neonatal near-misses at three teaching hospitals in Ghana. PLOS ONE 13, e0198169. https://doi.org/10.1371/journal.pone.0198169
- Discipline:
- Health Sciences
- Title:
- Maternal and Infant Survival Study (MISS) Interviews with Health Care Providers in Ghana about Neonatal Near-Misses
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- Creator:
- Detroit Residential Parcel Survey, United States Postal Service, Wayne County Register of Deeds, US Census, Yu, Deehan, Public and Affordable Housing Research Corporation (PAHRC), Veinot, Tiffany, RealtyTRAC, National Low Income Housing Coalition (NLIHC), Okullo, Dolorence, Wayne County Treasurer, Health Resource and Services Administration (HRSA), and Data Driven Detroit
- Description:
- This dataset includes census tract-level data concerning housing in Metropolitan Detroit. The data includes: 1) Total housing units and total mortgages in the tract; 2) Land use; 3) Real estate information (foreclosures, sales transactions, and home values); 4) Vacant housing; 5) Housing age and available facilities; 6) Housing condition; and 7) Spatial measures of subsidized housing in the tract. Data coverage should say 2006 to 2015.
- Keyword:
- Housing Conditions, Community Health, Subsidized Housing Locations, Availability of Kitchen and Plumbing Facilities, Vacant Properties, Census tract level, Age of Housing, Spatial Measures, Home Sale Transactions, Land Use by Category, Housing Units and Ownership, Housing Values, and Foreclosed Properties
- Discipline:
- Social Sciences and Health Sciences
- Title:
- Neighborhood effects : Housing
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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
- Citation to related publication:
- Lee KH, Gordon A, Shedden K, Kuan G, Ng S, Balmaseda A, Foxman B. The respiratory microbiome and susceptibility to influenza virus infection. PloS One. 2019;14:e0207898. https://doi.org/10.1371/journal.pone.0207898
- Discipline:
- Health Sciences
- Title:
- Transmission of Oral microbiome and Sequencing - Influenza Susceptibility